diff --git a/hivesterix/build.sh b/hivesterix/build.sh
new file mode 100644
index 0000000..8f61559
--- /dev/null
+++ b/hivesterix/build.sh
@@ -0,0 +1,12 @@
+rm -rf dist
+mkdir dist
+
+hadoop_versions=(0.20.2 0.23.1 0.23.6 1.0.4 cdh-4.1 cdh-4.2)
+cd ../
+for v in ${hadoop_versions[@]}
+do
+   #echo mvn clean package -DskipTests=true -Dhadoop=${v}
+   mvn clean package -DskipTests=true -Dhadoop=${v}
+   #echo mv hivesterix/hivesterix-dist/target/hivesterix-dist-*-binary-assembly.zip hivesterix/dist/hivesterix-dist-binary-assembley-hdfs-${v}.zip
+   mv hivesterix/hivesterix-dist/target/hivesterix-dist-*-binary-assembly.zip hivesterix/dist/hivesterix-dist-binary-assembley-hdfs-${v}.zip
+done
diff --git a/hivesterix/hivesterix-common/pom.xml b/hivesterix/hivesterix-common/pom.xml
index 7741193..fe9271b 100644
--- a/hivesterix/hivesterix-common/pom.xml
+++ b/hivesterix/hivesterix-common/pom.xml
@@ -1,18 +1,13 @@
 <?xml version="1.0"?>
-<!--
- ! Copyright 2009-2013 by The Regents of the University of California
- ! Licensed under the Apache License, Version 2.0 (the "License");
- ! you may not use this file except in compliance with the License.
- ! you may obtain a copy of the License from
- ! 
- !     http://www.apache.org/licenses/LICENSE-2.0
- ! 
- ! Unless required by applicable law or agreed to in writing, software
- ! distributed under the License is distributed on an "AS IS" BASIS,
- ! WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- ! See the License for the specific language governing permissions and
- ! limitations under the License.
- !-->
+<!-- ! Copyright 2009-2013 by The Regents of the University of California 
+	! Licensed under the Apache License, Version 2.0 (the "License"); ! you may 
+	not use this file except in compliance with the License. ! you may obtain 
+	a copy of the License from ! ! http://www.apache.org/licenses/LICENSE-2.0 
+	! ! Unless required by applicable law or agreed to in writing, software ! 
+	distributed under the License is distributed on an "AS IS" BASIS, ! WITHOUT 
+	WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ! See the 
+	License for the specific language governing permissions and ! limitations 
+	under the License. ! -->
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
 	<modelVersion>4.0.0</modelVersion>
 	<artifactId>hivesterix-common</artifactId>
@@ -21,7 +16,7 @@
 	<parent>
 		<artifactId>hivesterix</artifactId>
 		<groupId>edu.uci.ics.hyracks</groupId>
-		<version>0.2.7-SNAPSHOT</version>
+		<version>0.2.10-SNAPSHOT</version>
 	</parent>
 
 	<build>
@@ -44,30 +39,54 @@
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hyracks-api</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>algebricks-compiler</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hyracks-hdfs-core</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-exec</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hivesterix-serde</artifactId>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 	</dependencies>
+
+	<repositories>
+		<repository>
+			<releases>
+				<enabled>true</enabled>
+				<updatePolicy>always</updatePolicy>
+				<checksumPolicy>warn</checksumPolicy>
+			</releases>
+			<snapshots>
+				<enabled>true</enabled>
+				<updatePolicy>always</updatePolicy>
+				<checksumPolicy>fail</checksumPolicy>
+			</snapshots>
+			<id>cdh-build</id>
+			<url>https://repository.cloudera.com/content/groups/cdh-build</url>
+		</repository>
+	</repositories>
 </project>
diff --git a/hivesterix/hivesterix-common/src/main/java/edu/uci/ics/hivesterix/logical/expression/ExpressionTranslator.java b/hivesterix/hivesterix-common/src/main/java/edu/uci/ics/hivesterix/logical/expression/ExpressionTranslator.java
index 783004c..2ec3811 100644
--- a/hivesterix/hivesterix-common/src/main/java/edu/uci/ics/hivesterix/logical/expression/ExpressionTranslator.java
+++ b/hivesterix/hivesterix-common/src/main/java/edu/uci/ics/hivesterix/logical/expression/ExpressionTranslator.java
@@ -12,212 +12,217 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package edu.uci.ics.hivesterix.logical.expression;
-
-import java.util.ArrayList;
-import java.util.List;
-
-import org.apache.commons.lang3.mutable.Mutable;
-import org.apache.hadoop.hive.ql.exec.FunctionInfo;
-import org.apache.hadoop.hive.ql.exec.FunctionRegistry;
-import org.apache.hadoop.hive.ql.plan.AggregationDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeFieldDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeNullDesc;
-import org.apache.hadoop.hive.ql.plan.UDTFDesc;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDTF;
-import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
-
-import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalExpressionTag;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AbstractFunctionCallExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AggregateFunctionCallExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.ConstantExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.IVariableTypeEnvironment;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.ScalarFunctionCallExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.UnnestingFunctionCallExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.functions.FunctionIdentifier;
-import edu.uci.ics.hyracks.algebricks.core.algebra.functions.IFunctionInfo;
-
-public class ExpressionTranslator {
-
-    public static Object getHiveExpression(ILogicalExpression expr, IVariableTypeEnvironment env) throws Exception {
-        if (expr.getExpressionTag() == LogicalExpressionTag.FUNCTION_CALL) {
-            /**
-             * function expression
-             */
-            AbstractFunctionCallExpression funcExpr = (AbstractFunctionCallExpression) expr;
-            IFunctionInfo funcInfo = funcExpr.getFunctionInfo();
-            FunctionIdentifier fid = funcInfo.getFunctionIdentifier();
-
-            if (fid.getName().equals(ExpressionConstant.FIELDACCESS)) {
-                Object info = ((HiveFunctionInfo) funcInfo).getInfo();
-                ExprNodeFieldDesc desc = (ExprNodeFieldDesc) info;
-                return new ExprNodeFieldDesc(desc.getTypeInfo(), desc.getDesc(), desc.getFieldName(), desc.getIsList());
-            }
-
-            if (fid.getName().equals(ExpressionConstant.NULL)) {
-                return new ExprNodeNullDesc();
-            }
-
-            /**
-             * argument expressions: translate argument expressions recursively
-             * first, this logic is shared in scalar, aggregation and unnesting
-             * function
-             */
-            List<Mutable<ILogicalExpression>> arguments = funcExpr.getArguments();
-            List<ExprNodeDesc> parameters = new ArrayList<ExprNodeDesc>();
-            for (Mutable<ILogicalExpression> argument : arguments) {
-                /**
-                 * parameters could not be aggregate function desc
-                 */
-                ExprNodeDesc parameter = (ExprNodeDesc) getHiveExpression(argument.getValue(), env);
-                parameters.add(parameter);
-            }
-
-            /**
-             * get expression
-             */
-            if (funcExpr instanceof ScalarFunctionCallExpression) {
-                String udfName = HiveAlgebricksBuiltInFunctionMap.INSTANCE.getHiveFunctionName(fid);
-                GenericUDF udf;
-                if (udfName != null) {
-                    /**
-                     * get corresponding function info for built-in functions
-                     */
-                    FunctionInfo fInfo = FunctionRegistry.getFunctionInfo(udfName);
-                    udf = fInfo.getGenericUDF();
-
-                    int inputSize = parameters.size();
-                    List<ExprNodeDesc> currentDescs = new ArrayList<ExprNodeDesc>();
-
-                    // generate expression tree if necessary
-                    while (inputSize > 2) {
-                        int pairs = inputSize / 2;
-                        for (int i = 0; i < pairs; i++) {
-                            List<ExprNodeDesc> descs = new ArrayList<ExprNodeDesc>();
-                            descs.add(parameters.get(2 * i));
-                            descs.add(parameters.get(2 * i + 1));
-                            ExprNodeDesc desc = ExprNodeGenericFuncDesc.newInstance(udf, descs);
-                            currentDescs.add(desc);
-                        }
-
-                        if (inputSize % 2 != 0) {
-                            // List<ExprNodeDesc> descs = new
-                            // ArrayList<ExprNodeDesc>();
-                            // ExprNodeDesc lastExpr =
-                            // currentDescs.remove(currentDescs.size() - 1);
-                            // descs.add(lastExpr);
-                            currentDescs.add(parameters.get(inputSize - 1));
-                            // ExprNodeDesc desc =
-                            // ExprNodeGenericFuncDesc.newInstance(udf, descs);
-                            // currentDescs.add(desc);
-                        }
-                        inputSize = currentDescs.size();
-                        parameters.clear();
-                        parameters.addAll(currentDescs);
-                        currentDescs.clear();
-                    }
-
-                } else {
-                    Object secondInfo = ((HiveFunctionInfo) funcInfo).getInfo();
-                    if (secondInfo != null) {
-
-                        /**
-                         * for GenericUDFBridge: we should not call get type of
-                         * this hive expression, because parameters may have
-                         * been changed!
-                         */
-                        ExprNodeGenericFuncDesc hiveExpr = (ExprNodeGenericFuncDesc) ((HiveFunctionInfo) funcInfo)
-                                .getInfo();
-                        udf = hiveExpr.getGenericUDF();
-                    } else {
-                        /**
-                         * for other generic UDF
-                         */
-                        Class<?> udfClass;
-                        try {
-                            udfClass = Class.forName(fid.getName());
-                            udf = (GenericUDF) udfClass.newInstance();
-                        } catch (Exception e) {
-                            e.printStackTrace();
-                            throw new AlgebricksException(e.getMessage());
-                        }
-                    }
-                }
-                /**
-                 * get hive generic function expression
-                 */
-                ExprNodeDesc desc = ExprNodeGenericFuncDesc.newInstance(udf, parameters);
-                return desc;
-            } else if (funcExpr instanceof AggregateFunctionCallExpression) {
-                /**
-                 * hive aggregation info
-                 */
-                AggregationDesc aggregateDesc = (AggregationDesc) ((HiveFunctionInfo) funcExpr.getFunctionInfo())
-                        .getInfo();
-                /**
-                 * set parameters
-                 */
-                aggregateDesc.setParameters((ArrayList<ExprNodeDesc>) parameters);
-
-                List<TypeInfo> originalParameterTypeInfos = new ArrayList<TypeInfo>();
-                for (ExprNodeDesc parameter : parameters) {
-                    if (parameter.getTypeInfo() instanceof StructTypeInfo) {
-                        originalParameterTypeInfos.add(TypeInfoFactory.doubleTypeInfo);
-                    } else
-                        originalParameterTypeInfos.add(parameter.getTypeInfo());
-                }
-
-                GenericUDAFEvaluator eval = FunctionRegistry.getGenericUDAFEvaluator(
-                        aggregateDesc.getGenericUDAFName(), originalParameterTypeInfos, aggregateDesc.getDistinct(),
-                        false);
-
-                AggregationDesc newAggregateDesc = new AggregationDesc(aggregateDesc.getGenericUDAFName(), eval,
-                        aggregateDesc.getParameters(), aggregateDesc.getDistinct(), aggregateDesc.getMode());
-                return newAggregateDesc;
-            } else if (funcExpr instanceof UnnestingFunctionCallExpression) {
-                /**
-                 * type inference for UDTF function
-                 */
-                UDTFDesc hiveDesc = (UDTFDesc) ((HiveFunctionInfo) funcExpr.getFunctionInfo()).getInfo();
-                String funcName = hiveDesc.getUDTFName();
-                FunctionInfo fi = FunctionRegistry.getFunctionInfo(funcName);
-                GenericUDTF udtf = fi.getGenericUDTF();
-                UDTFDesc desc = new UDTFDesc(udtf);
-                return desc;
-            } else {
-                throw new IllegalStateException("unrecognized function expression " + expr.getClass().getName());
-            }
-        } else if ((expr.getExpressionTag() == LogicalExpressionTag.VARIABLE)) {
-            /**
-             * get type for variable in the environment
-             */
-            VariableReferenceExpression varExpr = (VariableReferenceExpression) expr;
-            LogicalVariable var = varExpr.getVariableReference();
-            TypeInfo typeInfo = (TypeInfo) env.getVarType(var);
-            ExprNodeDesc desc = new ExprNodeColumnDesc(typeInfo, var.toString(), "", false);
-            return desc;
-        } else if ((expr.getExpressionTag() == LogicalExpressionTag.CONSTANT)) {
-            /**
-             * get expression for constant in the environment
-             */
-            ConstantExpression varExpr = (ConstantExpression) expr;
-            Object value = ((HivesterixConstantValue) varExpr.getValue()).getObject();
-            ExprNodeDesc desc = new ExprNodeConstantDesc(value);
-            return desc;
-        } else {
-            throw new IllegalStateException("illegal expressions " + expr.getClass().getName());
-        }
-    }
-}
+package edu.uci.ics.hivesterix.logical.expression;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.commons.lang3.mutable.Mutable;
+import org.apache.hadoop.hive.ql.exec.FunctionInfo;
+import org.apache.hadoop.hive.ql.exec.FunctionRegistry;
+import org.apache.hadoop.hive.ql.plan.AggregationDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeFieldDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeNullDesc;
+import org.apache.hadoop.hive.ql.plan.UDTFDesc;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDTF;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+
+import edu.uci.ics.hivesterix.serde.lazy.LazyUtils;
+import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalExpressionTag;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AbstractFunctionCallExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AggregateFunctionCallExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.ConstantExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.IVariableTypeEnvironment;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.ScalarFunctionCallExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.UnnestingFunctionCallExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.functions.FunctionIdentifier;
+import edu.uci.ics.hyracks.algebricks.core.algebra.functions.IFunctionInfo;
+
+public class ExpressionTranslator {
+
+    public static Object getHiveExpression(ILogicalExpression expr, IVariableTypeEnvironment env) throws Exception {
+        if (expr.getExpressionTag() == LogicalExpressionTag.FUNCTION_CALL) {
+            /**
+             * function expression
+             */
+            AbstractFunctionCallExpression funcExpr = (AbstractFunctionCallExpression) expr;
+            IFunctionInfo funcInfo = funcExpr.getFunctionInfo();
+            FunctionIdentifier fid = funcInfo.getFunctionIdentifier();
+
+            if (fid.getName().equals(ExpressionConstant.FIELDACCESS)) {
+                Object info = ((HiveFunctionInfo) funcInfo).getInfo();
+                ExprNodeFieldDesc desc = (ExprNodeFieldDesc) info;
+                return new ExprNodeFieldDesc(desc.getTypeInfo(), desc.getDesc(), desc.getFieldName(), desc.getIsList());
+            }
+
+            if (fid.getName().equals(ExpressionConstant.NULL)) {
+                return new ExprNodeNullDesc();
+            }
+
+            /**
+             * argument expressions: translate argument expressions recursively
+             * first, this logic is shared in scalar, aggregation and unnesting
+             * function
+             */
+            List<Mutable<ILogicalExpression>> arguments = funcExpr.getArguments();
+            List<ExprNodeDesc> parameters = new ArrayList<ExprNodeDesc>();
+            for (Mutable<ILogicalExpression> argument : arguments) {
+                /**
+                 * parameters could not be aggregate function desc
+                 */
+                ExprNodeDesc parameter = (ExprNodeDesc) getHiveExpression(argument.getValue(), env);
+                parameters.add(parameter);
+            }
+
+            /**
+             * get expression
+             */
+            if (funcExpr instanceof ScalarFunctionCallExpression) {
+                String udfName = HiveAlgebricksBuiltInFunctionMap.INSTANCE.getHiveFunctionName(fid);
+                GenericUDF udf;
+                if (udfName != null) {
+                    /**
+                     * get corresponding function info for built-in functions
+                     */
+                    FunctionInfo fInfo = FunctionRegistry.getFunctionInfo(udfName);
+                    udf = fInfo.getGenericUDF();
+
+                    int inputSize = parameters.size();
+                    List<ExprNodeDesc> currentDescs = new ArrayList<ExprNodeDesc>();
+
+                    // generate expression tree if necessary
+                    while (inputSize > 2) {
+                        int pairs = inputSize / 2;
+                        for (int i = 0; i < pairs; i++) {
+                            List<ExprNodeDesc> descs = new ArrayList<ExprNodeDesc>();
+                            descs.add(parameters.get(2 * i));
+                            descs.add(parameters.get(2 * i + 1));
+                            ExprNodeDesc desc = ExprNodeGenericFuncDesc.newInstance(udf, descs);
+                            currentDescs.add(desc);
+                        }
+
+                        if (inputSize % 2 != 0) {
+                            // List<ExprNodeDesc> descs = new
+                            // ArrayList<ExprNodeDesc>();
+                            // ExprNodeDesc lastExpr =
+                            // currentDescs.remove(currentDescs.size() - 1);
+                            // descs.add(lastExpr);
+                            currentDescs.add(parameters.get(inputSize - 1));
+                            // ExprNodeDesc desc =
+                            // ExprNodeGenericFuncDesc.newInstance(udf, descs);
+                            // currentDescs.add(desc);
+                        }
+                        inputSize = currentDescs.size();
+                        parameters.clear();
+                        parameters.addAll(currentDescs);
+                        currentDescs.clear();
+                    }
+
+                } else {
+                    Object secondInfo = ((HiveFunctionInfo) funcInfo).getInfo();
+                    if (secondInfo != null) {
+
+                        /**
+                         * for GenericUDFBridge: we should not call get type of
+                         * this hive expression, because parameters may have
+                         * been changed!
+                         */
+                        ExprNodeGenericFuncDesc hiveExpr = (ExprNodeGenericFuncDesc) ((HiveFunctionInfo) funcInfo)
+                                .getInfo();
+                        udf = hiveExpr.getGenericUDF();
+                    } else {
+                        /**
+                         * for other generic UDF
+                         */
+                        Class<?> udfClass;
+                        try {
+                            udfClass = Class.forName(fid.getName());
+                            udf = (GenericUDF) udfClass.newInstance();
+                        } catch (Exception e) {
+                            e.printStackTrace();
+                            throw new AlgebricksException(e.getMessage());
+                        }
+                    }
+                }
+                /**
+                 * get hive generic function expression
+                 */
+                ExprNodeDesc desc = ExprNodeGenericFuncDesc.newInstance(udf, parameters);
+                return desc;
+            } else if (funcExpr instanceof AggregateFunctionCallExpression) {
+                /**
+                 * hive aggregation info
+                 */
+                AggregationDesc aggregateDesc = (AggregationDesc) ((HiveFunctionInfo) funcExpr.getFunctionInfo())
+                        .getInfo();
+                /**
+                 * set parameters
+                 */
+                aggregateDesc.setParameters((ArrayList<ExprNodeDesc>) parameters);
+
+                List<TypeInfo> originalParameterTypeInfos = new ArrayList<TypeInfo>();
+                for (ExprNodeDesc parameter : parameters) {
+                    if (parameter.getTypeInfo() instanceof StructTypeInfo) {
+                        originalParameterTypeInfos.add(TypeInfoFactory.doubleTypeInfo);
+                    } else
+                        originalParameterTypeInfos.add(parameter.getTypeInfo());
+                }
+
+                List<ObjectInspector> originalParameterOIs = new ArrayList<ObjectInspector>();
+                for (TypeInfo type : originalParameterTypeInfos) {
+                    originalParameterOIs.add(LazyUtils.getLazyObjectInspectorFromTypeInfo(type, false));
+                }
+                GenericUDAFEvaluator eval = FunctionRegistry.getGenericUDAFEvaluator(
+                        aggregateDesc.getGenericUDAFName(), originalParameterOIs, aggregateDesc.getDistinct(), false);
+
+                AggregationDesc newAggregateDesc = new AggregationDesc(aggregateDesc.getGenericUDAFName(), eval,
+                        aggregateDesc.getParameters(), aggregateDesc.getDistinct(), aggregateDesc.getMode());
+                return newAggregateDesc;
+            } else if (funcExpr instanceof UnnestingFunctionCallExpression) {
+                /**
+                 * type inference for UDTF function
+                 */
+                UDTFDesc hiveDesc = (UDTFDesc) ((HiveFunctionInfo) funcExpr.getFunctionInfo()).getInfo();
+                String funcName = hiveDesc.getUDTFName();
+                FunctionInfo fi = FunctionRegistry.getFunctionInfo(funcName);
+                GenericUDTF udtf = fi.getGenericUDTF();
+                UDTFDesc desc = new UDTFDesc(udtf);
+                return desc;
+            } else {
+                throw new IllegalStateException("unrecognized function expression " + expr.getClass().getName());
+            }
+        } else if ((expr.getExpressionTag() == LogicalExpressionTag.VARIABLE)) {
+            /**
+             * get type for variable in the environment
+             */
+            VariableReferenceExpression varExpr = (VariableReferenceExpression) expr;
+            LogicalVariable var = varExpr.getVariableReference();
+            TypeInfo typeInfo = (TypeInfo) env.getVarType(var);
+            ExprNodeDesc desc = new ExprNodeColumnDesc(typeInfo, var.toString(), "", false);
+            return desc;
+        } else if ((expr.getExpressionTag() == LogicalExpressionTag.CONSTANT)) {
+            /**
+             * get expression for constant in the environment
+             */
+            ConstantExpression varExpr = (ConstantExpression) expr;
+            Object value = ((HivesterixConstantValue) varExpr.getValue()).getObject();
+            ExprNodeDesc desc = new ExprNodeConstantDesc(value);
+            return desc;
+        } else {
+            throw new IllegalStateException("illegal expressions " + expr.getClass().getName());
+        }
+    }
+}
diff --git a/hivesterix/hivesterix-dist/pom.xml b/hivesterix/hivesterix-dist/pom.xml
index 8ecdfe1..917487f 100644
--- a/hivesterix/hivesterix-dist/pom.xml
+++ b/hivesterix/hivesterix-dist/pom.xml
@@ -1,27 +1,22 @@
-<!--
- ! Copyright 2009-2013 by The Regents of the University of California
- ! Licensed under the Apache License, Version 2.0 (the "License");
- ! you may not use this file except in compliance with the License.
- ! you may obtain a copy of the License from
- ! 
- !     http://www.apache.org/licenses/LICENSE-2.0
- ! 
- ! Unless required by applicable law or agreed to in writing, software
- ! distributed under the License is distributed on an "AS IS" BASIS,
- ! WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- ! See the License for the specific language governing permissions and
- ! limitations under the License.
- !-->
+<!-- ! Copyright 2009-2013 by The Regents of the University of California 
+	! Licensed under the Apache License, Version 2.0 (the "License"); ! you may 
+	not use this file except in compliance with the License. ! you may obtain 
+	a copy of the License from ! ! http://www.apache.org/licenses/LICENSE-2.0 
+	! ! Unless required by applicable law or agreed to in writing, software ! 
+	distributed under the License is distributed on an "AS IS" BASIS, ! WITHOUT 
+	WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ! See the 
+	License for the specific language governing permissions and ! limitations 
+	under the License. ! -->
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
 	<modelVersion>4.0.0</modelVersion>
 	<artifactId>hivesterix-dist</artifactId>
 	<name>hivesterix-dist</name>
 
 	<parent>
-                <groupId>edu.uci.ics.hyracks</groupId>
-                <artifactId>hivesterix</artifactId>
-                <version>0.2.7-SNAPSHOT</version>
-        </parent>
+		<groupId>edu.uci.ics.hyracks</groupId>
+		<artifactId>hivesterix</artifactId>
+		<version>0.2.10-SNAPSHOT</version>
+	</parent>
 
 	<dependencies>
 		<dependency>
@@ -32,298 +27,37 @@
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>junit</groupId>
-			<artifactId>junit</artifactId>
-			<version>4.8.1</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>args4j</groupId>
-			<artifactId>args4j</artifactId>
-			<version>2.0.12</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.json</groupId>
-			<artifactId>json</artifactId>
-			<version>20090211</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.eclipse.jetty</groupId>
-			<artifactId>jetty-server</artifactId>
-			<version>8.0.0.M1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.eclipse.jetty</groupId>
-			<artifactId>jetty-servlet</artifactId>
-			<version>8.0.0.M1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>jline</groupId>
-			<artifactId>jline</artifactId>
-			<version>0.9.94</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.datanucleus</groupId>
-			<artifactId>datanucleus-core</artifactId>
-			<version>2.0.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.datanucleus</groupId>
-			<artifactId>datanucleus-connectionpool</artifactId>
-			<version>2.0.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.datanucleus</groupId>
-			<artifactId>datanucleus-enhancer</artifactId>
-			<version>2.0.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.datanucleus</groupId>
-			<artifactId>datanucleus-rdbms</artifactId>
-			<version>2.0.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-dbcp</groupId>
-			<artifactId>commons-dbcp</artifactId>
-			<version>1.4</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-pool</groupId>
-			<artifactId>commons-pool</artifactId>
-			<version>1.5.4</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-collections</groupId>
-			<artifactId>commons-collections</artifactId>
-			<version>3.2.1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-lang</groupId>
-			<artifactId>commons-lang</artifactId>
-			<version>2.4</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>javax</groupId>
-			<artifactId>jdo2-api</artifactId>
-			<version>2.3-ec</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>com.facebook</groupId>
-			<artifactId>libfb303</artifactId>
-			<version>0.5.0</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.thrift</groupId>
-			<artifactId>libthrift</artifactId>
-			<version>0.5.0</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.commons</groupId>
-			<artifactId>cli</artifactId>
-			<version>1.2</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache</groupId>
-			<artifactId>log4j</artifactId>
-			<version>1.2.15</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.antlr</groupId>
-			<artifactId>antlr-runtime</artifactId>
-			<version>3.0.1</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-cli</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-common</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-exec</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-hwi</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-jdbc</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-metastore</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-service</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-shims</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-serde</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.slf4j</groupId>
-			<artifactId>slf4j-api</artifactId>
-			<version>1.6.1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-cli</groupId>
-			<artifactId>commons-cli</artifactId>
-			<version>1.2</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.slf4j</groupId>
-			<artifactId>slf4j-log4j12</artifactId>
-			<version>1.6.1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-logging</groupId>
-			<artifactId>commons-logging</artifactId>
-			<version>1.1.1</version>
-			<type>jar</type>
-			<classifier>api</classifier>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>com.google.guava</groupId>
-			<artifactId>guava</artifactId>
-			<version>r06</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.antlr</groupId>
-			<artifactId>stringtemplate</artifactId>
-			<version>3.2</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.derby</groupId>
-			<artifactId>derby</artifactId>
-			<version>10.8.1.2</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop</groupId>
-			<artifactId>hadoop-core</artifactId>
-			<version>0.20.2</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hivesterix-translator</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hivesterix-optimizer</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hbase</groupId>
-			<artifactId>hbase</artifactId>
-			<version>0.90.3</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>algebricks-compiler</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hyracks-control-cc</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hyracks-control-nc</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
@@ -474,6 +208,23 @@
 				</executions>
 			</plugin>
 			<plugin>
+				<artifactId>maven-assembly-plugin</artifactId>
+				<version>2.2-beta-5</version>
+				<executions>
+					<execution>
+						<configuration>
+							<descriptors>
+								<descriptor>src/main/assembly/binary-assembly.xml</descriptor>
+							</descriptors>
+						</configuration>
+						<phase>package</phase>
+						<goals>
+							<goal>attached</goal>
+						</goals>
+					</execution>
+				</executions>
+			</plugin>
+			<plugin>
 				<artifactId>maven-clean-plugin</artifactId>
 				<version>2.5</version>
 				<configuration>
diff --git a/hivesterix/hivesterix-dist/src/main/assembly/binary-assembly.xml b/hivesterix/hivesterix-dist/src/main/assembly/binary-assembly.xml
index aeb3fb4..e2da26a 100755
--- a/hivesterix/hivesterix-dist/src/main/assembly/binary-assembly.xml
+++ b/hivesterix/hivesterix-dist/src/main/assembly/binary-assembly.xml
@@ -1,17 +1,12 @@
-<!--
- ! Copyright 2009-2013 by The Regents of the University of California
- ! Licensed under the Apache License, Version 2.0 (the "License");
- ! you may not use this file except in compliance with the License.
- ! you may obtain a copy of the License from
- ! 
- !     http://www.apache.org/licenses/LICENSE-2.0
- ! 
- ! Unless required by applicable law or agreed to in writing, software
- ! distributed under the License is distributed on an "AS IS" BASIS,
- ! WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- ! See the License for the specific language governing permissions and
- ! limitations under the License.
- !-->
+<!-- ! Copyright 2009-2013 by The Regents of the University of California 
+	! Licensed under the Apache License, Version 2.0 (the "License"); ! you may 
+	not use this file except in compliance with the License. ! you may obtain 
+	a copy of the License from ! ! http://www.apache.org/licenses/LICENSE-2.0 
+	! ! Unless required by applicable law or agreed to in writing, software ! 
+	distributed under the License is distributed on an "AS IS" BASIS, ! WITHOUT 
+	WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ! See the 
+	License for the specific language governing permissions and ! limitations 
+	under the License. ! -->
 <assembly>
 	<id>binary-assembly</id>
 	<formats>
@@ -21,20 +16,30 @@
 	<includeBaseDirectory>false</includeBaseDirectory>
 	<fileSets>
 		<fileSet>
-			<directory>target/appassembler/bin</directory>
+			<directory>src/main/resources/conf</directory>
+			<outputDirectory>conf</outputDirectory>
+			<fileMode>0755</fileMode>
+		</fileSet>
+		<fileSet>
+			<directory>src/main/resources/scripts</directory>
 			<outputDirectory>bin</outputDirectory>
 			<fileMode>0755</fileMode>
 		</fileSet>
 		<fileSet>
 			<directory>target/appassembler/lib</directory>
 			<outputDirectory>lib</outputDirectory>
+			<includes>
+				<include>*.jar</include>
+			</includes>
+			<fileMode>0755</fileMode>
 		</fileSet>
 		<fileSet>
 			<directory>target</directory>
 			<outputDirectory>lib</outputDirectory>
 			<includes>
-				<include>*.jar</include>
+				<include>a-hive-patch.jar</include>
 			</includes>
+			<fileMode>0755</fileMode>
 		</fileSet>
 	</fileSets>
-</assembly>
+</assembly>
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/main/java/edu/uci/ics/hivesterix/runtime/exec/HyracksExecutionEngine.java b/hivesterix/hivesterix-dist/src/main/java/edu/uci/ics/hivesterix/runtime/exec/HyracksExecutionEngine.java
index d3bcaca..7b88de4 100644
--- a/hivesterix/hivesterix-dist/src/main/java/edu/uci/ics/hivesterix/runtime/exec/HyracksExecutionEngine.java
+++ b/hivesterix/hivesterix-dist/src/main/java/edu/uci/ics/hivesterix/runtime/exec/HyracksExecutionEngine.java
@@ -36,16 +36,20 @@
 import org.apache.hadoop.hive.ql.exec.ConditionalTask;
 import org.apache.hadoop.hive.ql.exec.FileSinkOperator;
 import org.apache.hadoop.hive.ql.exec.MapRedTask;
+import org.apache.hadoop.hive.ql.exec.MoveTask;
 import org.apache.hadoop.hive.ql.exec.Operator;
 import org.apache.hadoop.hive.ql.exec.TableScanOperator;
 import org.apache.hadoop.hive.ql.exec.Task;
+import org.apache.hadoop.hive.ql.exec.Utilities;
 import org.apache.hadoop.hive.ql.plan.DynamicPartitionCtx;
 import org.apache.hadoop.hive.ql.plan.FetchWork;
 import org.apache.hadoop.hive.ql.plan.FileSinkDesc;
 import org.apache.hadoop.hive.ql.plan.MapredLocalWork;
 import org.apache.hadoop.hive.ql.plan.MapredWork;
+import org.apache.hadoop.hive.ql.plan.OperatorDesc;
 import org.apache.hadoop.hive.ql.plan.PartitionDesc;
 import org.apache.hadoop.hive.ql.plan.TableScanDesc;
+import org.apache.hadoop.mapred.Reporter;
 
 import edu.uci.ics.hivesterix.common.config.ConfUtil;
 import edu.uci.ics.hivesterix.logical.expression.HiveExpressionTypeComputer;
@@ -214,7 +218,6 @@
 
         // get all leave Ops
         getLeaves(rootOps, leaveOps);
-
         HiveAlgebricksTranslator translator = new HiveAlgebricksTranslator();
         try {
             translator.translate(rootOps, null, aliasToPath);
@@ -222,7 +225,7 @@
             ILogicalPlan plan = translator.genLogicalPlan();
 
             if (plan.getRoots() != null && plan.getRoots().size() > 0 && plan.getRoots().get(0).getValue() != null) {
-                translator.printOperators();
+                //translator.printOperators();
                 ILogicalPlanAndMetadata planAndMetadata = new HiveLogicalPlanAndMetaData(plan,
                         translator.getMetadataProvider());
 
@@ -238,7 +241,7 @@
                 StringBuilder buffer = new StringBuilder();
                 PlanPrettyPrinter.printPlan(plan, buffer, pvisitor, 0);
                 String planStr = buffer.toString();
-                System.out.println(planStr);
+                LOG.info(planStr);
 
                 if (planPrinter != null)
                     planPrinter.print(planStr);
@@ -377,6 +380,12 @@
                 // remove map-reduce branches in condition task
                 ConditionalTask condition = (ConditionalTask) task;
                 List<Task<? extends Serializable>> branches = condition.getListTasks();
+                for (Task branch : branches) {
+                    if (branch instanceof MoveTask) {
+                        //return articulateMapReduceOperators(branch, rootOps, aliasToPath, rootTasks);
+                        return null;
+                    }
+                }
                 for (int i = branches.size() - 1; i >= 0; i--) {
                     Task branch = branches.get(i);
                     if (branch instanceof MapRedTask) {
@@ -396,7 +405,7 @@
 
         MapRedTask mrtask = (MapRedTask) task;
         MapredWork work = (MapredWork) mrtask.getWork();
-        HashMap<String, Operator<? extends Serializable>> operators = work.getAliasToWork();
+        HashMap<String, Operator<? extends OperatorDesc>> operators = work.getAliasToWork();
 
         Set entries = operators.entrySet();
         Iterator<Entry<String, Operator>> iterator = entries.iterator();
@@ -414,7 +423,7 @@
         // get map local work
         MapredLocalWork localWork = work.getMapLocalWork();
         if (localWork != null) {
-            HashMap<String, Operator<? extends Serializable>> localOperators = localWork.getAliasToWork();
+            HashMap<String, Operator<? extends OperatorDesc>> localOperators = localWork.getAliasToWork();
 
             Set localEntries = localOperators.entrySet();
             Iterator<Entry<String, Operator>> localIterator = localEntries.iterator();
@@ -479,9 +488,9 @@
                 for (Operator childMap : childMapOps) {
                     if (childMap instanceof TableScanOperator) {
                         TableScanDesc topDesc = (TableScanDesc) childMap.getConf();
-                        if (topDesc == null)
+                        if (topDesc == null || topDesc.getAlias() == null) {
                             mapChildren.add(childMap);
-                        else {
+                        } else {
                             rootOps.add(childMap);
                         }
                     } else {
@@ -501,9 +510,14 @@
                 }
                 i = 0;
                 for (Operator child : mapChildren) {
-                    if (child.getParentOperators() == null || child.getParentOperators().size() == 0)
+                    if (child.getParentOperators() == null || child.getParentOperators().size() == 0) {
                         child.setParentOperators(new ArrayList<Operator>());
-                    child.getParentOperators().add(leafs.get(i));
+                    }
+                    if (i < leafs.size()) {
+                        if (child.getParentOperators().size()==0) {
+                            child.getParentOperators().add(leafs.get(i));
+                        }
+                    }
                     i++;
                 }
             }
@@ -603,10 +617,10 @@
             String specPath = desc.getDirName();
             DynamicPartitionCtx dpCtx = desc.getDynPartCtx();
             // for 0.7.0
-            fsOp.mvFileToFinalPath(specPath, conf, true, LOG, dpCtx);
+            //fsOp.mvFileToFinalPath(specPath, conf, true, LOG, dpCtx);
             // for 0.8.0
-            // Utilities.mvFileToFinalPath(specPath, conf, true, LOG, dpCtx,
-            // desc);
+            //Utilities.mvFileToFinalPath(specPath, conf, true, LOG, dpCtx, desc);
+            Utilities.mvFileToFinalPath(specPath, conf, true, LOG, dpCtx, desc, Reporter.NULL);
         }
     }
 }
diff --git a/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/ql/Driver.java b/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/ql/Driver.java
index 4ef74e9..64a3f12 100644
--- a/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/ql/Driver.java
+++ b/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/ql/Driver.java
@@ -1,17 +1,3 @@
-/*
- * Copyright 2009-2013 by The Regents of the University of California
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * you may obtain a copy of the License from
- * 
- *     http://www.apache.org/licenses/LICENSE-2.0
- * 
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
 /**
  * Licensed to the Apache Software Foundation (ASF) under one
  * or more contributor license agreements.  See the NOTICE file
@@ -42,11 +28,13 @@
 import java.util.HashMap;
 import java.util.HashSet;
 import java.util.Iterator;
+import java.util.LinkedHashMap;
 import java.util.LinkedList;
 import java.util.List;
 import java.util.Map;
 import java.util.Queue;
 import java.util.Set;
+import java.util.concurrent.ConcurrentLinkedQueue;
 
 import org.apache.commons.lang.StringUtils;
 import org.apache.commons.logging.Log;
@@ -62,6 +50,7 @@
 import org.apache.hadoop.hive.ql.exec.ExecDriver;
 import org.apache.hadoop.hive.ql.exec.FetchTask;
 import org.apache.hadoop.hive.ql.exec.MapRedTask;
+import org.apache.hadoop.hive.ql.exec.MoveTask;
 import org.apache.hadoop.hive.ql.exec.Operator;
 import org.apache.hadoop.hive.ql.exec.StatsTask;
 import org.apache.hadoop.hive.ql.exec.TableScanOperator;
@@ -86,23 +75,22 @@
 import org.apache.hadoop.hive.ql.lockmgr.HiveLockObject;
 import org.apache.hadoop.hive.ql.lockmgr.HiveLockObject.HiveLockObjectData;
 import org.apache.hadoop.hive.ql.lockmgr.LockException;
+import org.apache.hadoop.hive.ql.log.PerfLogger;
 import org.apache.hadoop.hive.ql.metadata.AuthorizationException;
 import org.apache.hadoop.hive.ql.metadata.DummyPartition;
 import org.apache.hadoop.hive.ql.metadata.Hive;
 import org.apache.hadoop.hive.ql.metadata.HiveException;
-import org.apache.hadoop.hive.ql.metadata.HiveUtils;
 import org.apache.hadoop.hive.ql.metadata.Partition;
 import org.apache.hadoop.hive.ql.metadata.Table;
 import org.apache.hadoop.hive.ql.optimizer.ppr.PartitionPruner;
 import org.apache.hadoop.hive.ql.parse.ASTNode;
 import org.apache.hadoop.hive.ql.parse.AbstractSemanticAnalyzerHook;
 import org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer;
-import org.apache.hadoop.hive.ql.parse.ErrorMsg;
 import org.apache.hadoop.hive.ql.parse.HiveSemanticAnalyzerHookContext;
 import org.apache.hadoop.hive.ql.parse.HiveSemanticAnalyzerHookContextImpl;
+import org.apache.hadoop.hive.ql.parse.ImportSemanticAnalyzer;
 import org.apache.hadoop.hive.ql.parse.ParseContext;
 import org.apache.hadoop.hive.ql.parse.ParseDriver;
-import org.apache.hadoop.hive.ql.parse.ParseException;
 import org.apache.hadoop.hive.ql.parse.ParseUtils;
 import org.apache.hadoop.hive.ql.parse.PrunedPartitionList;
 import org.apache.hadoop.hive.ql.parse.SemanticAnalyzer;
@@ -112,6 +100,7 @@
 import org.apache.hadoop.hive.ql.plan.ConditionalResolver;
 import org.apache.hadoop.hive.ql.plan.ConditionalResolverMergeFiles;
 import org.apache.hadoop.hive.ql.plan.HiveOperation;
+import org.apache.hadoop.hive.ql.plan.OperatorDesc;
 import org.apache.hadoop.hive.ql.plan.TableDesc;
 import org.apache.hadoop.hive.ql.processors.CommandProcessor;
 import org.apache.hadoop.hive.ql.processors.CommandProcessorResponse;
@@ -127,15 +116,18 @@
 import edu.uci.ics.hivesterix.runtime.exec.HyracksExecutionEngine;
 import edu.uci.ics.hivesterix.runtime.exec.IExecutionEngine;
 
-@SuppressWarnings({ "deprecation", "unused" })
+@SuppressWarnings({ "deprecation", "unchecked", "rawtypes" })
 public class Driver implements CommandProcessor {
 
+    // hivesterix
+    private IExecutionEngine engine;
+    private boolean hivesterix = false;
+    private Set<Task> executedConditionalTsks = new HashSet<Task>();
+
     static final private Log LOG = LogFactory.getLog(Driver.class.getName());
     static final private LogHelper console = new LogHelper(LOG);
 
-    // hive-sterix
-    private IExecutionEngine engine;
-    private boolean hivesterix = false;
+    private static final Object compileMonitor = new Object();
 
     private int maxRows = 100;
     ByteStream.Output bos = new ByteStream.Output();
@@ -152,23 +144,57 @@
 
     // A limit on the number of threads that can be launched
     private int maxthreads;
-    private final int sleeptime = 2000;
-
+    private static final int SLEEP_TIME = 2000;
     protected int tryCount = Integer.MAX_VALUE;
 
-    private int checkLockManager() {
+    /**
+     * for backwards compatibility with current tests
+     */
+    public Driver(HiveConf conf) {
+        this.conf = conf;
+
+    }
+
+    public Driver() {
+        if (SessionState.get() != null) {
+            conf = SessionState.get().getConf();
+        }
+
+        // hivesterix
+        engine = new HyracksExecutionEngine(conf);
+    }
+
+    // hivesterix: plan printer
+    public Driver(HiveConf conf, PrintWriter planPrinter) {
+        this.conf = conf;
+        engine = new HyracksExecutionEngine(conf, planPrinter);
+    }
+
+    public void clear() {
+        this.hivesterix = false;
+        this.executedConditionalTsks.clear();
+    }
+
+    private boolean checkLockManager() {
         boolean supportConcurrency = conf.getBoolVar(HiveConf.ConfVars.HIVE_SUPPORT_CONCURRENCY);
-        if (supportConcurrency && (hiveLockMgr == null)) {
+        if (!supportConcurrency) {
+            return false;
+        }
+        if ((hiveLockMgr == null)) {
             try {
                 setLockManager();
             } catch (SemanticException e) {
                 errorMessage = "FAILED: Error in semantic analysis: " + e.getMessage();
                 SQLState = ErrorMsg.findSQLState(e.getMessage());
                 console.printError(errorMessage, "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
-                return (12);
+                return false;
             }
         }
-        return (0);
+        // the reason that we set the lock manager for the cxt here is because each
+        // query has its own ctx object. The hiveLockMgr is shared accross the
+        // same instance of Driver, which can run multiple queries.
+        ctx.setHiveLockMgr(hiveLockMgr);
+        return hiveLockMgr != null;
     }
 
     private void setLockManager() throws SemanticException {
@@ -183,6 +209,16 @@
                 hiveLockMgr = (HiveLockManager) ReflectionUtils.newInstance(conf.getClassByName(lockMgr), conf);
                 hiveLockMgr.setContext(new HiveLockManagerCtx(conf));
             } catch (Exception e) {
+                // set hiveLockMgr to null just in case this invalid manager got set to
+                // next query's ctx.
+                if (hiveLockMgr != null) {
+                    try {
+                        hiveLockMgr.close();
+                    } catch (LockException e1) {
+                        //nothing can do here
+                    }
+                    hiveLockMgr = null;
+                }
                 throw new SemanticException(ErrorMsg.LOCKMGR_NOT_INITIALIZED.getMsg() + e.getMessage());
             }
         }
@@ -230,10 +266,8 @@
         } else if (sem.getFetchTask() != null) {
             FetchTask ft = sem.getFetchTask();
             TableDesc td = ft.getTblDesc();
-            // partitioned tables don't have tableDesc set on the FetchTask.
-            // Instead
-            // they have a list of PartitionDesc objects, each with a table
-            // desc.
+            // partitioned tables don't have tableDesc set on the FetchTask. Instead
+            // they have a list of PartitionDesc objects, each with a table desc.
             // Let's
             // try to fetch the desc for the first partition and use it's
             // deserializer.
@@ -320,59 +354,102 @@
     }
 
     /**
-     * for backwards compatibility with current tests
-     */
-    public Driver(HiveConf conf) {
-        this.conf = conf;
-
-        // hivesterix
-        engine = new HyracksExecutionEngine(conf);
-    }
-
-    public Driver() {
-        if (SessionState.get() != null) {
-            conf = SessionState.get().getConf();
-        }
-
-        // hivesterix
-        engine = new HyracksExecutionEngine(conf);
-    }
-
-    // hivesterix: plan printer
-    public Driver(HiveConf conf, PrintWriter planPrinter) {
-        this.conf = conf;
-        engine = new HyracksExecutionEngine(conf, planPrinter);
-    }
-
-    public void clear() {
-        this.hivesterix = false;
-    }
-
-    /**
-     * Compile a new query. Any currently-planned query associated with this
-     * Driver is discarded.
+     * Compile a new query. Any currently-planned query associated with this Driver is discarded.
      * 
      * @param command
      *            The SQL query to compile.
      */
     public int compile(String command) {
+        return compile(command, true);
+    }
+
+    /**
+     * Hold state variables specific to each query being executed, that may not
+     * be consistent in the overall SessionState
+     */
+    private static class QueryState {
+        private HiveOperation op;
+        private String cmd;
+        private boolean init = false;
+
+        /**
+         * Initialize the queryState with the query state variables
+         */
+        public void init(HiveOperation op, String cmd) {
+            this.op = op;
+            this.cmd = cmd;
+            this.init = true;
+        }
+
+        public boolean isInitialized() {
+            return this.init;
+        }
+
+        public HiveOperation getOp() {
+            return this.op;
+        }
+
+        public String getCmd() {
+            return this.cmd;
+        }
+    }
+
+    public void saveSession(QueryState qs) {
+        SessionState oldss = SessionState.get();
+        if (oldss != null && oldss.getHiveOperation() != null) {
+            qs.init(oldss.getHiveOperation(), oldss.getCmd());
+        }
+    }
+
+    public void restoreSession(QueryState qs) {
+        SessionState ss = SessionState.get();
+        if (ss != null && qs != null && qs.isInitialized()) {
+            ss.setCmd(qs.getCmd());
+            ss.setCommandType(qs.getOp());
+        }
+    }
+
+    /**
+     * Compile a new query, but potentially reset taskID counter. Not resetting task counter
+     * is useful for generating re-entrant QL queries.
+     * 
+     * @param command
+     *            The HiveQL query to compile
+     * @param resetTaskIds
+     *            Resets taskID counter if true.
+     * @return 0 for ok
+     */
+    public int compile(String command, boolean resetTaskIds) {
+        PerfLogger perfLogger = PerfLogger.getPerfLogger();
+        perfLogger.PerfLogBegin(LOG, PerfLogger.COMPILE);
+
+        //holder for parent command type/string when executing reentrant queries
+        QueryState queryState = new QueryState();
+
         if (plan != null) {
             close();
             plan = null;
         }
 
-        TaskFactory.resetId();
+        if (resetTaskIds) {
+            TaskFactory.resetId();
+        }
+        saveSession(queryState);
 
         try {
             command = new VariableSubstitution().substitute(conf, command);
             ctx = new Context(conf);
+            ctx.setTryCount(getTryCount());
+            ctx.setCmd(command);
+            ctx.setHDFSCleanup(true);
 
             ParseDriver pd = new ParseDriver();
             ASTNode tree = pd.parse(command, ctx);
             tree = ParseUtils.findRootNonNullToken(tree);
 
             BaseSemanticAnalyzer sem = SemanticAnalyzerFactory.get(conf, tree);
-            List<AbstractSemanticAnalyzerHook> saHooks = getSemanticAnalyzerHooks();
+            List<AbstractSemanticAnalyzerHook> saHooks = getHooks(HiveConf.ConfVars.SEMANTIC_ANALYZER_HOOK,
+                    AbstractSemanticAnalyzerHook.class);
 
             // Do semantic analysis and plan generation
             if (saHooks != null) {
@@ -382,6 +459,7 @@
                     tree = hook.preAnalyze(hookCtx, tree);
                 }
                 sem.analyze(tree, ctx);
+                hookCtx.update(sem);
                 for (AbstractSemanticAnalyzerHook hook : saHooks) {
                     hook.postAnalyze(hookCtx, sem.getRootTasks());
                 }
@@ -394,19 +472,10 @@
             // validate the plan
             sem.validate();
 
-            plan = new QueryPlan(command, sem);
-            // initialize FetchTask right here
-            if (plan.getFetchTask() != null) {
-                plan.getFetchTask().initialize(conf, plan, null);
-            }
-
-            // get the output schema
-            schema = getSchema(sem, conf);
+            plan = new QueryPlan(command, sem, perfLogger.getStartTime(PerfLogger.DRIVER_RUN));
 
             // test Only - serialize the query plan and deserialize it
-            if (sem instanceof SemanticAnalyzer && command.toLowerCase().indexOf("create") < 0) {
-
-                Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
+            if ("true".equalsIgnoreCase(System.getProperty("test.serialize.qplan"))) {
 
                 String queryPlanFileName = ctx.getLocalScratchDir(true) + Path.SEPARATOR_CHAR + "queryplan.xml";
                 LOG.info("query plan = " + queryPlanFileName);
@@ -431,17 +500,24 @@
                 plan.getFetchTask().initialize(conf, plan, null);
             }
 
-            // do the authorization check
+            // get the output schema
+            schema = getSchema(sem, conf);
+
+            //do the authorization check
             if (HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_AUTHORIZATION_ENABLED)) {
                 try {
-                    // doAuthorization(sem);
+                    perfLogger.PerfLogBegin(LOG, PerfLogger.DO_AUTHORIZATION);
+                    doAuthorization(sem);
                 } catch (AuthorizationException authExp) {
                     console.printError("Authorization failed:" + authExp.getMessage()
                             + ". Use show grant to get more details.");
                     return 403;
+                } finally {
+                    perfLogger.PerfLogEnd(LOG, PerfLogger.DO_AUTHORIZATION);
                 }
             }
 
+            //restore state after we're done executing a specific query
             // hyracks run
             if (sem instanceof SemanticAnalyzer && command.toLowerCase().indexOf("create") < 0) {
                 int engineRet = engine.compileJob(sem.getRootTasks());
@@ -450,21 +526,19 @@
                 }
             }
             return 0;
-        } catch (SemanticException e) {
-            errorMessage = "FAILED: Error in semantic analysis: " + e.getMessage();
-            SQLState = ErrorMsg.findSQLState(e.getMessage());
-            console.printError(errorMessage, "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
-            return (10);
-        } catch (ParseException e) {
-            errorMessage = "FAILED: Parse Error: " + e.getMessage();
-            SQLState = ErrorMsg.findSQLState(e.getMessage());
-            console.printError(errorMessage, "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
-            return (11);
         } catch (Exception e) {
-            errorMessage = "FAILED: Hive Internal Error: " + Utilities.getNameMessage(e);
-            SQLState = ErrorMsg.findSQLState(e.getMessage());
-            console.printError(errorMessage + "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
-            return (12);
+            ErrorMsg error = ErrorMsg.getErrorMsg(e.getMessage());
+            errorMessage = "FAILED: " + e.getClass().getSimpleName();
+            if (error != ErrorMsg.GENERIC_ERROR) {
+                errorMessage += " [Error " + error.getErrorCode() + "]:";
+            }
+            errorMessage += " " + e.getMessage();
+            SQLState = error.getSQLState();
+            console.printError(errorMessage, "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
+            return error.getErrorCode();
+        } finally {
+            perfLogger.PerfLogEnd(LOG, PerfLogger.COMPILE);
+            restoreSession(queryState);
         }
     }
 
@@ -479,13 +553,13 @@
                 ss.getAuthorizer().authorize(db.getDatabase(db.getCurrentDatabase()), null,
                         HiveOperation.CREATETABLE_AS_SELECT.getOutputRequiredPrivileges());
             } else {
-                // if (op.equals(HiveOperation.IMPORT)) {
-                // ImportSemanticAnalyzer isa = (ImportSemanticAnalyzer) sem;
-                // if (!isa.existsTable()) {
-                ss.getAuthorizer().authorize(db.getDatabase(db.getCurrentDatabase()), null,
-                        HiveOperation.CREATETABLE_AS_SELECT.getOutputRequiredPrivileges());
-                // }
-                // }
+                if (op.equals(HiveOperation.IMPORT)) {
+                    ImportSemanticAnalyzer isa = (ImportSemanticAnalyzer) sem;
+                    if (!isa.existsTable()) {
+                        ss.getAuthorizer().authorize(db.getDatabase(db.getCurrentDatabase()), null,
+                                HiveOperation.CREATETABLE_AS_SELECT.getOutputRequiredPrivileges());
+                    }
+                }
             }
             if (outputs != null && outputs.size() > 0) {
                 for (WriteEntity write : outputs) {
@@ -513,8 +587,8 @@
 
             Map<String, Boolean> tableUsePartLevelAuth = new HashMap<String, Boolean>();
             for (ReadEntity read : inputs) {
-                if (read.getPartition() != null) {
-                    Table tbl = read.getTable();
+                Table tbl = read.getTable();
+                if ((read.getPartition() != null) || (tbl.isPartitioned())) {
                     String tblName = tbl.getTableName();
                     if (tableUsePartLevelAuth.get(tblName) == null) {
                         boolean usePartLevelPriv = (tbl.getParameters().get("PARTITION_LEVEL_PRIVILEGE") != null && ("TRUE"
@@ -533,9 +607,9 @@
                 ParseContext parseCtx = querySem.getParseContext();
                 Map<TableScanOperator, Table> tsoTopMap = parseCtx.getTopToTable();
 
-                for (Map.Entry<String, Operator<? extends Serializable>> topOpMap : querySem.getParseContext()
+                for (Map.Entry<String, Operator<? extends OperatorDesc>> topOpMap : querySem.getParseContext()
                         .getTopOps().entrySet()) {
-                    Operator<? extends Serializable> topOp = topOpMap.getValue();
+                    Operator<? extends OperatorDesc> topOp = topOpMap.getValue();
                     if (topOp instanceof TableScanOperator && tsoTopMap.containsKey(topOp)) {
                         TableScanOperator tableScanOp = (TableScanOperator) topOp;
                         Table tbl = tsoTopMap.get(tableScanOp);
@@ -551,7 +625,10 @@
                                 cols.add(columns.get(i).getName());
                             }
                         }
-                        if (tbl.isPartitioned() && tableUsePartLevelAuth.get(tbl.getTableName())) {
+                        //map may not contain all sources, since input list may have been optimized out
+                        //or non-existent tho such sources may still be referenced by the TableScanOperator
+                        //if it's null then the partition probably doesn't exist so let's use table permission
+                        if (tbl.isPartitioned() && tableUsePartLevelAuth.get(tbl.getTableName()) == Boolean.TRUE) {
                             String alias_id = topOpMap.getKey();
                             PrunedPartitionList partsList = PartitionPruner.prune(parseCtx.getTopToTable().get(topOp),
                                     parseCtx.getOpToPartPruner().get(topOp), parseCtx.getConf(), alias_id,
@@ -582,30 +659,28 @@
             // cache the results for table authorization
             Set<String> tableAuthChecked = new HashSet<String>();
             for (ReadEntity read : inputs) {
-                Table tbl = null;
+                Table tbl = read.getTable();
                 if (read.getPartition() != null) {
-                    tbl = read.getPartition().getTable();
+                    Partition partition = read.getPartition();
+                    tbl = partition.getTable();
                     // use partition level authorization
-                    if (tableUsePartLevelAuth.get(tbl.getTableName())) {
-                        List<String> cols = part2Cols.get(read.getPartition());
+                    if (tableUsePartLevelAuth.get(tbl.getTableName()) == Boolean.TRUE) {
+                        List<String> cols = part2Cols.get(partition);
                         if (cols != null && cols.size() > 0) {
-                            ss.getAuthorizer().authorize(read.getPartition().getTable(), read.getPartition(), cols,
+                            ss.getAuthorizer().authorize(partition.getTable(), partition, cols,
                                     op.getInputRequiredPrivileges(), null);
                         } else {
-                            ss.getAuthorizer().authorize(read.getPartition(), op.getInputRequiredPrivileges(), null);
+                            ss.getAuthorizer().authorize(partition, op.getInputRequiredPrivileges(), null);
                         }
                         continue;
                     }
-                } else if (read.getTable() != null) {
-                    tbl = read.getTable();
                 }
 
-                // if we reach here, it means it needs to do a table
-                // authorization
-                // check, and the table authorization may already happened
-                // because of other
+                // if we reach here, it means it needs to do a table authorization
+                // check, and the table authorization may already happened because of other
                 // partitions
-                if (tbl != null && !tableAuthChecked.contains(tbl.getTableName())) {
+                if (tbl != null && !tableAuthChecked.contains(tbl.getTableName())
+                        && !(tableUsePartLevelAuth.get(tbl.getTableName()) == Boolean.TRUE)) {
                     List<String> cols = tab2Cols.get(tbl);
                     if (cols != null && cols.size() > 0) {
                         ss.getAuthorizer().authorize(tbl, null, cols, op.getInputRequiredPrivileges(), null);
@@ -632,16 +707,15 @@
      * @param p
      *            The partition to be locked
      * @param mode
-     *            The mode of the lock (SHARED/EXCLUSIVE) Get the list of
-     *            objects to be locked. If a partition needs to be locked (in
-     *            any mode), all its parents should also be locked in SHARED
-     *            mode.
+     *            The mode of the lock (SHARED/EXCLUSIVE) Get the list of objects to be locked. If a
+     *            partition needs to be locked (in any mode), all its parents should also be locked in
+     *            SHARED mode.
      **/
     private List<HiveLockObj> getLockObjects(Table t, Partition p, HiveLockMode mode) throws SemanticException {
         List<HiveLockObj> locks = new LinkedList<HiveLockObj>();
 
         HiveLockObjectData lockData = new HiveLockObjectData(plan.getQueryId(), String.valueOf(System
-                .currentTimeMillis()), "IMPLICIT");
+                .currentTimeMillis()), "IMPLICIT", plan.getQueryStr());
 
         if (t != null) {
             locks.add(new HiveLockObj(new HiveLockObject(t, lockData), mode));
@@ -665,16 +739,20 @@
                 name = p.getName().split("@")[2];
             }
 
-            String partName = name;
             String partialName = "";
             String[] partns = name.split("/");
             int len = p instanceof DummyPartition ? partns.length : partns.length - 1;
+            Map<String, String> partialSpec = new LinkedHashMap<String, String>();
             for (int idx = 0; idx < len; idx++) {
                 String partn = partns[idx];
                 partialName += partn;
+                String[] nameValue = partn.split("=");
+                assert (nameValue.length == 2);
+                partialSpec.put(nameValue[0], nameValue[1]);
                 try {
                     locks.add(new HiveLockObj(new HiveLockObject(new DummyPartition(p.getTable(), p.getTable()
-                            .getDbName() + "/" + p.getTable().getTableName() + "/" + partialName), lockData), mode));
+                            .getDbName() + "/" + p.getTable().getTableName() + "/" + partialName, partialSpec),
+                            lockData), mode));
                     partialName += "/";
                 } catch (HiveException e) {
                     throw new SemanticException(e.getMessage());
@@ -688,17 +766,16 @@
     }
 
     /**
-     * Acquire read and write locks needed by the statement. The list of objects
-     * to be locked are obtained from he inputs and outputs populated by the
-     * compiler. The lock acuisition scheme is pretty simple. If all the locks
-     * cannot be obtained, error out. Deadlock is avoided by making sure that
-     * the locks are lexicographically sorted.
+     * Acquire read and write locks needed by the statement. The list of objects to be locked are
+     * obtained from he inputs and outputs populated by the compiler. The lock acuisition scheme is
+     * pretty simple. If all the locks cannot be obtained, error out. Deadlock is avoided by making
+     * sure that the locks are lexicographically sorted.
      **/
     public int acquireReadWriteLocks() {
-        try {
-            int sleepTime = conf.getIntVar(HiveConf.ConfVars.HIVE_LOCK_SLEEP_BETWEEN_RETRIES) * 1000;
-            int numRetries = conf.getIntVar(HiveConf.ConfVars.HIVE_LOCK_NUMRETRIES);
+        PerfLogger perfLogger = PerfLogger.getPerfLogger();
+        perfLogger.PerfLogBegin(LOG, PerfLogger.ACQUIRE_READ_WRITE_LOCKS);
 
+        try {
             boolean supportConcurrency = conf.getBoolVar(HiveConf.ConfVars.HIVE_SUPPORT_CONCURRENCY);
             if (!supportConcurrency) {
                 return 0;
@@ -707,8 +784,7 @@
             List<HiveLockObj> lockObjects = new ArrayList<HiveLockObj>();
 
             // Sort all the inputs, outputs.
-            // If a lock needs to be acquired on any partition, a read lock
-            // needs to be acquired on all
+            // If a lock needs to be acquired on any partition, a read lock needs to be acquired on all
             // its parents also
             for (ReadEntity input : plan.getInputs()) {
                 if (input.getType() == ReadEntity.Type.TABLE) {
@@ -719,16 +795,21 @@
             }
 
             for (WriteEntity output : plan.getOutputs()) {
+                List<HiveLockObj> lockObj = null;
                 if (output.getTyp() == WriteEntity.Type.TABLE) {
-                    lockObjects.addAll(getLockObjects(output.getTable(), null,
-                            output.isComplete() ? HiveLockMode.EXCLUSIVE : HiveLockMode.SHARED));
+                    lockObj = getLockObjects(output.getTable(), null, output.isComplete() ? HiveLockMode.EXCLUSIVE
+                            : HiveLockMode.SHARED);
                 } else if (output.getTyp() == WriteEntity.Type.PARTITION) {
-                    lockObjects.addAll(getLockObjects(null, output.getPartition(), HiveLockMode.EXCLUSIVE));
+                    lockObj = getLockObjects(null, output.getPartition(), HiveLockMode.EXCLUSIVE);
                 }
-                // In case of dynamic queries, it is possible to have incomplete
-                // dummy partitions
+                // In case of dynamic queries, it is possible to have incomplete dummy partitions
                 else if (output.getTyp() == WriteEntity.Type.DUMMYPARTITION) {
-                    lockObjects.addAll(getLockObjects(null, output.getPartition(), HiveLockMode.SHARED));
+                    lockObj = getLockObjects(null, output.getPartition(), HiveLockMode.SHARED);
+                }
+
+                if (lockObj != null) {
+                    lockObjects.addAll(lockObj);
+                    ctx.getOutputLockObjects().put(output, lockObj);
                 }
             }
 
@@ -736,13 +817,8 @@
                 return 0;
             }
 
-            int ret = checkLockManager();
-            if (ret != 0) {
-                return ret;
-            }
-
             HiveLockObjectData lockData = new HiveLockObjectData(plan.getQueryId(), String.valueOf(System
-                    .currentTimeMillis()), "IMPLICIT");
+                    .currentTimeMillis()), "IMPLICIT", plan.getQueryStr());
 
             // Lock the database also
             try {
@@ -753,25 +829,7 @@
                 throw new SemanticException(e.getMessage());
             }
 
-            ctx.setHiveLockMgr(hiveLockMgr);
-            List<HiveLock> hiveLocks = null;
-
-            int tryNum = 1;
-            do {
-
-                // ctx.getHiveLockMgr();
-                // hiveLocks = ctx.getHiveLockMgr().lock(lockObjects, false);
-
-                if (hiveLocks != null) {
-                    break;
-                }
-
-                tryNum++;
-                try {
-                    Thread.sleep(sleepTime);
-                } catch (InterruptedException e) {
-                }
-            } while (tryNum < numRetries);
+            List<HiveLock> hiveLocks = ctx.getHiveLockMgr().lock(lockObjects, false);
 
             if (hiveLocks == null) {
                 throw new SemanticException(ErrorMsg.LOCK_CANNOT_BE_ACQUIRED.getMsg());
@@ -785,138 +843,207 @@
             SQLState = ErrorMsg.findSQLState(e.getMessage());
             console.printError(errorMessage, "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
             return (10);
-        } catch (Exception e) {
+        } catch (LockException e) {
             errorMessage = "FAILED: Error in acquiring locks: " + e.getMessage();
             SQLState = ErrorMsg.findSQLState(e.getMessage());
             console.printError(errorMessage, "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
             return (10);
-        }
-    }
-
-    /**
-     * Release all the locks acquired implicitly by the statement. Note that the
-     * locks acquired with 'keepAlive' set to True are not released.
-     **/
-    private void releaseLocks() {
-        if (ctx != null && ctx.getHiveLockMgr() != null) {
-            try {
-                ctx.getHiveLockMgr().close();
-                ctx.setHiveLocks(null);
-            } catch (LockException e) {
-            }
+        } finally {
+            perfLogger.PerfLogEnd(LOG, PerfLogger.ACQUIRE_READ_WRITE_LOCKS);
         }
     }
 
     /**
      * @param hiveLocks
-     *            list of hive locks to be released Release all the locks
-     *            specified. If some of the locks have already been released,
-     *            ignore them
+     *            list of hive locks to be released Release all the locks specified. If some of the
+     *            locks have already been released, ignore them
      **/
     private void releaseLocks(List<HiveLock> hiveLocks) {
+        PerfLogger perfLogger = PerfLogger.getPerfLogger();
+        perfLogger.PerfLogBegin(LOG, PerfLogger.RELEASE_LOCKS);
+
         if (hiveLocks != null) {
             ctx.getHiveLockMgr().releaseLocks(hiveLocks);
         }
         ctx.setHiveLocks(null);
+
+        perfLogger.PerfLogEnd(LOG, PerfLogger.RELEASE_LOCKS);
     }
 
-    public CommandProcessorResponse run(String command) {
+    public CommandProcessorResponse run(String command) throws CommandNeedRetryException {
         errorMessage = null;
         SQLState = null;
 
-        int ret = compile(command);
+        if (!validateConfVariables()) {
+            return new CommandProcessorResponse(12, errorMessage, SQLState);
+        }
+
+        HiveDriverRunHookContext hookContext = new HiveDriverRunHookContextImpl(conf, command);
+        // Get all the driver run hooks and pre-execute them.
+        List<HiveDriverRunHook> driverRunHooks;
+        try {
+            driverRunHooks = getHooks(HiveConf.ConfVars.HIVE_DRIVER_RUN_HOOKS, HiveDriverRunHook.class);
+            for (HiveDriverRunHook driverRunHook : driverRunHooks) {
+                driverRunHook.preDriverRun(hookContext);
+            }
+        } catch (Exception e) {
+            errorMessage = "FAILED: Hive Internal Error: " + Utilities.getNameMessage(e);
+            SQLState = ErrorMsg.findSQLState(e.getMessage());
+            console.printError(errorMessage + "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
+            return new CommandProcessorResponse(12, errorMessage, SQLState);
+        }
+
+        // Reset the perf logger
+        PerfLogger perfLogger = PerfLogger.getPerfLogger(true);
+        perfLogger.PerfLogBegin(LOG, PerfLogger.DRIVER_RUN);
+        perfLogger.PerfLogBegin(LOG, PerfLogger.TIME_TO_SUBMIT);
+
+        int ret;
+        synchronized (compileMonitor) {
+            ret = compile(command);
+        }
         if (ret != 0) {
-            // releaseLocks(ctx.getHiveLocks());
+            releaseLocks(ctx.getHiveLocks());
             return new CommandProcessorResponse(ret, errorMessage, SQLState);
         }
 
-        // ret = acquireReadWriteLocks();
-        if (ret != 0) {
-            // releaseLocks(ctx.getHiveLocks());
-            return new CommandProcessorResponse(ret, errorMessage, SQLState);
+        boolean requireLock = false;
+        boolean ckLock = checkLockManager();
+
+        if (ckLock) {
+            boolean lockOnlyMapred = HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_LOCK_MAPRED_ONLY);
+            if (lockOnlyMapred) {
+                Queue<Task<? extends Serializable>> taskQueue = new LinkedList<Task<? extends Serializable>>();
+                taskQueue.addAll(plan.getRootTasks());
+                while (taskQueue.peek() != null) {
+                    Task<? extends Serializable> tsk = taskQueue.remove();
+                    requireLock = requireLock || tsk.requireLock();
+                    if (requireLock) {
+                        break;
+                    }
+                    if (tsk instanceof ConditionalTask) {
+                        taskQueue.addAll(((ConditionalTask) tsk).getListTasks());
+                    }
+                    if (tsk.getChildTasks() != null) {
+                        taskQueue.addAll(tsk.getChildTasks());
+                    }
+                    // does not add back up task here, because back up task should be the same
+                    // type of the original task.
+                }
+            } else {
+                requireLock = true;
+            }
+        }
+
+        if (requireLock) {
+            ret = acquireReadWriteLocks();
+            if (ret != 0) {
+                releaseLocks(ctx.getHiveLocks());
+                return new CommandProcessorResponse(ret, errorMessage, SQLState);
+            }
         }
 
         ret = execute();
         if (ret != 0) {
-            // releaseLocks(ctx.getHiveLocks());
+            //if needRequireLock is false, the release here will do nothing because there is no lock
+            releaseLocks(ctx.getHiveLocks());
             return new CommandProcessorResponse(ret, errorMessage, SQLState);
         }
 
-        // releaseLocks(ctx.getHiveLocks());
+        //if needRequireLock is false, the release here will do nothing because there is no lock
+        releaseLocks(ctx.getHiveLocks());
+
+        perfLogger.PerfLogEnd(LOG, PerfLogger.DRIVER_RUN);
+        perfLogger.close(LOG, plan);
+
+        // Take all the driver run hooks and post-execute them.
+        try {
+            for (HiveDriverRunHook driverRunHook : driverRunHooks) {
+                driverRunHook.postDriverRun(hookContext);
+            }
+        } catch (Exception e) {
+            errorMessage = "FAILED: Hive Internal Error: " + Utilities.getNameMessage(e);
+            SQLState = ErrorMsg.findSQLState(e.getMessage());
+            console.printError(errorMessage + "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
+            return new CommandProcessorResponse(12, errorMessage, SQLState);
+        }
+
         return new CommandProcessorResponse(ret);
     }
 
-    private List<AbstractSemanticAnalyzerHook> getSemanticAnalyzerHooks() throws Exception {
-        ArrayList<AbstractSemanticAnalyzerHook> saHooks = new ArrayList<AbstractSemanticAnalyzerHook>();
-        String pestr = conf.getVar(HiveConf.ConfVars.SEMANTIC_ANALYZER_HOOK);
-        if (pestr == null) {
-            return saHooks;
+    /**
+     * Validate configuration variables.
+     * 
+     * @return
+     */
+    private boolean validateConfVariables() {
+        boolean valid = true;
+        if ((!conf.getBoolVar(HiveConf.ConfVars.HIVE_HADOOP_SUPPORTS_SUBDIRECTORIES))
+                && ((conf.getBoolVar(HiveConf.ConfVars.HADOOPMAPREDINPUTDIRRECURSIVE))
+                        || (conf.getBoolVar(HiveConf.ConfVars.HIVEOPTLISTBUCKETING)) || ((conf
+                            .getBoolVar(HiveConf.ConfVars.HIVE_OPTIMIZE_UNION_REMOVE))))) {
+            errorMessage = "FAILED: Hive Internal Error: " + ErrorMsg.SUPPORT_DIR_MUST_TRUE_FOR_LIST_BUCKETING.getMsg();
+            SQLState = ErrorMsg.findSQLState(errorMessage);
+            console.printError(errorMessage + "\n");
+            valid = false;
         }
-        pestr = pestr.trim();
-        if (pestr.equals("")) {
-            return saHooks;
-        }
-
-        String[] peClasses = pestr.split(",");
-
-        for (String peClass : peClasses) {
-            try {
-                AbstractSemanticAnalyzerHook hook = HiveUtils.getSemanticAnalyzerHook(conf, peClass);
-                saHooks.add(hook);
-            } catch (HiveException e) {
-                console.printError("Pre Exec Hook Class not found:" + e.getMessage());
-                throw e;
-            }
-        }
-
-        return saHooks;
+        return valid;
     }
 
-    private List<Hook> getPreExecHooks() throws Exception {
-        ArrayList<Hook> pehooks = new ArrayList<Hook>();
-        String pestr = conf.getVar(HiveConf.ConfVars.PREEXECHOOKS);
-        pestr = pestr.trim();
-        if (pestr.equals("")) {
-            return pehooks;
+    /**
+     * Returns a set of hooks specified in a configuration variable.
+     * See getHooks(HiveConf.ConfVars hookConfVar, Class<T> clazz)
+     * 
+     * @param hookConfVar
+     * @return
+     * @throws Exception
+     */
+    private List<Hook> getHooks(HiveConf.ConfVars hookConfVar) throws Exception {
+        return getHooks(hookConfVar, Hook.class);
+    }
+
+    /**
+     * Returns the hooks specified in a configuration variable. The hooks are returned in a list in
+     * the order they were specified in the configuration variable.
+     * 
+     * @param hookConfVar
+     *            The configuration variable specifying a comma separated list of the hook
+     *            class names.
+     * @param clazz
+     *            The super type of the hooks.
+     * @return A list of the hooks cast as the type specified in clazz, in the order
+     *         they are listed in the value of hookConfVar
+     * @throws Exception
+     */
+    private <T extends Hook> List<T> getHooks(HiveConf.ConfVars hookConfVar, Class<T> clazz) throws Exception {
+
+        List<T> hooks = new ArrayList<T>();
+        String csHooks = conf.getVar(hookConfVar);
+        if (csHooks == null) {
+            return hooks;
         }
 
-        String[] peClasses = pestr.split(",");
+        csHooks = csHooks.trim();
+        if (csHooks.equals("")) {
+            return hooks;
+        }
 
-        for (String peClass : peClasses) {
+        String[] hookClasses = csHooks.split(",");
+
+        for (String hookClass : hookClasses) {
             try {
-                pehooks.add((Hook) Class.forName(peClass.trim(), true, JavaUtils.getClassLoader()).newInstance());
+                T hook = (T) Class.forName(hookClass.trim(), true, JavaUtils.getClassLoader()).newInstance();
+                hooks.add(hook);
             } catch (ClassNotFoundException e) {
-                console.printError("Pre Exec Hook Class not found:" + e.getMessage());
+                console.printError(hookConfVar.varname + " Class not found:" + e.getMessage());
                 throw e;
             }
         }
 
-        return pehooks;
+        return hooks;
     }
 
-    private List<Hook> getPostExecHooks() throws Exception {
-        ArrayList<Hook> pehooks = new ArrayList<Hook>();
-        String pestr = conf.getVar(HiveConf.ConfVars.POSTEXECHOOKS);
-        pestr = pestr.trim();
-        if (pestr.equals("")) {
-            return pehooks;
-        }
-
-        String[] peClasses = pestr.split(",");
-
-        for (String peClass : peClasses) {
-            try {
-                pehooks.add((Hook) Class.forName(peClass.trim(), true, JavaUtils.getClassLoader()).newInstance());
-            } catch (ClassNotFoundException e) {
-                console.printError("Post Exec Hook Class not found:" + e.getMessage());
-                throw e;
-            }
-        }
-
-        return pehooks;
-    }
-
-    public int execute() {
+    public int execute() throws CommandNeedRetryException {
         // execute hivesterix plan
         if (hivesterix) {
             hivesterix = false;
@@ -925,6 +1052,9 @@
                 return ret;
         }
 
+        PerfLogger perfLogger = PerfLogger.getPerfLogger();
+        perfLogger.PerfLogBegin(LOG, PerfLogger.DRIVER_EXECUTE);
+
         boolean noName = StringUtils.isEmpty(conf.getVar(HiveConf.ConfVars.HADOOPJOBNAME));
         int maxlen = conf.getIntVar(HiveConf.ConfVars.HIVEJOBNAMELENGTH);
 
@@ -933,6 +1063,10 @@
 
         conf.setVar(HiveConf.ConfVars.HIVEQUERYID, queryId);
         conf.setVar(HiveConf.ConfVars.HIVEQUERYSTRING, queryStr);
+
+        conf.set("mapreduce.workflow.id", "hive_" + queryId);
+        conf.set("mapreduce.workflow.name", queryStr);
+
         maxthreads = HiveConf.getIntVar(conf, HiveConf.ConfVars.EXECPARALLETHREADNUMBER);
 
         try {
@@ -946,14 +1080,23 @@
             }
             resStream = null;
 
-            HookContext hookContext = new HookContext(plan, conf);
+            HookContext hookContext = new HookContext(plan, conf, ctx.getPathToCS());
+            hookContext.setHookType(HookContext.HookType.PRE_EXEC_HOOK);
 
-            for (Hook peh : getPreExecHooks()) {
+            for (Hook peh : getHooks(HiveConf.ConfVars.PREEXECHOOKS)) {
                 if (peh instanceof ExecuteWithHookContext) {
+                    perfLogger.PerfLogBegin(LOG, PerfLogger.PRE_HOOK + peh.getClass().getName());
+
                     ((ExecuteWithHookContext) peh).run(hookContext);
+
+                    perfLogger.PerfLogEnd(LOG, PerfLogger.PRE_HOOK + peh.getClass().getName());
                 } else if (peh instanceof PreExecute) {
+                    perfLogger.PerfLogBegin(LOG, PerfLogger.PRE_HOOK + peh.getClass().getName());
+
                     ((PreExecute) peh).run(SessionState.get(), plan.getInputs(), plan.getOutputs(), ShimLoader
                             .getHadoopShims().getUGIForConf(conf));
+
+                    perfLogger.PerfLogEnd(LOG, PerfLogger.PRE_HOOK + peh.getClass().getName());
                 }
             }
 
@@ -968,32 +1111,36 @@
             }
             String jobname = Utilities.abbreviate(queryStr, maxlen - 6);
 
-            // A runtime that launches runnable tasks as separate Threads
-            // through
+            // A runtime that launches runnable tasks as separate Threads through
             // TaskRunners
             // As soon as a task isRunnable, it is put in a queue
             // At any time, at most maxthreads tasks can be running
-            // The main thread polls the TaskRunners to check if they have
-            // finished.
+            // The main thread polls the TaskRunners to check if they have finished.
 
-            Queue<Task<? extends Serializable>> runnable = new LinkedList<Task<? extends Serializable>>();
+            Queue<Task<? extends Serializable>> runnable = new ConcurrentLinkedQueue<Task<? extends Serializable>>();
             Map<TaskResult, TaskRunner> running = new HashMap<TaskResult, TaskRunner>();
 
             DriverContext driverCxt = new DriverContext(runnable, ctx);
+            ctx.setHDFSCleanup(true);
+
+            SessionState.get().setLastMapRedStatsList(new ArrayList<MapRedStats>());
+            SessionState.get().setStackTraces(new HashMap<String, List<List<String>>>());
+            SessionState.get().setLocalMapRedErrors(new HashMap<String, List<String>>());
 
             // Add root Tasks to runnable
-
             for (Task<? extends Serializable> tsk : plan.getRootTasks()) {
+                // This should never happen, if it does, it's a bug with the potential to produce
+                // incorrect results.
+                assert tsk.getParentTasks() == null || tsk.getParentTasks().isEmpty();
                 driverCxt.addToRunnable(tsk);
             }
 
+            perfLogger.PerfLogEnd(LOG, PerfLogger.TIME_TO_SUBMIT);
             // Loop while you either have tasks running, or tasks queued up
-
             while (running.size() != 0 || runnable.peek() != null) {
                 // Launch upto maxthreads tasks
                 while (runnable.peek() != null && running.size() < maxthreads) {
                     Task<? extends Serializable> tsk = runnable.remove();
-                    console.printInfo("executing task " + tsk.getName());
                     launchTask(tsk, queryId, noName, running, jobname, jobs, driverCxt);
                 }
 
@@ -1005,12 +1152,24 @@
 
                 int exitVal = tskRes.getExitVal();
                 if (exitVal != 0) {
+                    if (tsk.ifRetryCmdWhenFail()) {
+                        if (!running.isEmpty()) {
+                            taskCleanup(running);
+                        }
+                        // in case we decided to run everything in local mode, restore the
+                        // the jobtracker setting to its initial value
+                        ctx.restoreOriginalTracker();
+                        throw new CommandNeedRetryException();
+                    }
                     Task<? extends Serializable> backupTask = tsk.getAndInitBackupTask();
                     if (backupTask != null) {
                         errorMessage = "FAILED: Execution Error, return code " + exitVal + " from "
                                 + tsk.getClass().getName();
+                        ErrorMsg em = ErrorMsg.getErrorMsg(exitVal);
+                        if (em != null) {
+                            errorMessage += ". " + em.getMsg();
+                        }
                         console.printError(errorMessage);
-
                         errorMessage = "ATTEMPT: Execute BackupTask: " + backupTask.getClass().getName();
                         console.printError(errorMessage);
 
@@ -1021,20 +1180,31 @@
                         continue;
 
                     } else {
-                        // TODO: This error messaging is not very informative.
-                        // Fix that.
+                        hookContext.setHookType(HookContext.HookType.ON_FAILURE_HOOK);
+                        // Get all the failure execution hooks and execute them.
+                        for (Hook ofh : getHooks(HiveConf.ConfVars.ONFAILUREHOOKS)) {
+                            perfLogger.PerfLogBegin(LOG, PerfLogger.FAILURE_HOOK + ofh.getClass().getName());
+
+                            ((ExecuteWithHookContext) ofh).run(hookContext);
+
+                            perfLogger.PerfLogEnd(LOG, PerfLogger.FAILURE_HOOK + ofh.getClass().getName());
+                        }
+
                         errorMessage = "FAILED: Execution Error, return code " + exitVal + " from "
                                 + tsk.getClass().getName();
+                        ErrorMsg em = ErrorMsg.getErrorMsg(exitVal);
+                        if (em != null) {
+                            errorMessage += ". " + em.getMsg();
+                        }
                         SQLState = "08S01";
                         console.printError(errorMessage);
-                        if (running.size() != 0) {
-                            taskCleanup();
+                        if (!running.isEmpty()) {
+                            taskCleanup(running);
                         }
-                        // in case we decided to run everything in local mode,
-                        // restore the
+                        // in case we decided to run everything in local mode, restore the
                         // the jobtracker setting to its initial value
                         ctx.restoreOriginalTracker();
-                        return 9;
+                        return exitVal;
                     }
                 }
 
@@ -1047,9 +1217,9 @@
                 if (tsk.getChildTasks() != null) {
                     for (Task<? extends Serializable> child : tsk.getChildTasks()) {
                         // hivesterix: don't check launchable condition
-                        // if (DriverContext.isLaunchable(child)) {
+                        //if(DriverContext.isLaunchable(tsk)){
                         driverCxt.addToRunnable(child);
-                        // }
+                        //}
                     }
                 }
             }
@@ -1059,8 +1229,7 @@
             ctx.restoreOriginalTracker();
 
             // remove incomplete outputs.
-            // Some incomplete outputs may be added at the beginning, for eg:
-            // for dynamic partitions.
+            // Some incomplete outputs may be added at the beginning, for eg: for dynamic partitions.
             // remove them
             HashSet<WriteEntity> remOutputs = new HashSet<WriteEntity>();
             for (WriteEntity output : plan.getOutputs()) {
@@ -1073,15 +1242,24 @@
                 plan.getOutputs().remove(output);
             }
 
+            hookContext.setHookType(HookContext.HookType.POST_EXEC_HOOK);
             // Get all the post execution hooks and execute them.
-            for (Hook peh : getPostExecHooks()) {
+            for (Hook peh : getHooks(HiveConf.ConfVars.POSTEXECHOOKS)) {
                 if (peh instanceof ExecuteWithHookContext) {
+                    perfLogger.PerfLogBegin(LOG, PerfLogger.POST_HOOK + peh.getClass().getName());
+
                     ((ExecuteWithHookContext) peh).run(hookContext);
+
+                    perfLogger.PerfLogEnd(LOG, PerfLogger.POST_HOOK + peh.getClass().getName());
                 } else if (peh instanceof PostExecute) {
+                    perfLogger.PerfLogBegin(LOG, PerfLogger.POST_HOOK + peh.getClass().getName());
+
                     ((PostExecute) peh)
                             .run(SessionState.get(), plan.getInputs(), plan.getOutputs(),
                                     (SessionState.get() != null ? SessionState.get().getLineageState().getLineageInfo()
                                             : null), ShimLoader.getHadoopShims().getUGIForConf(conf));
+
+                    perfLogger.PerfLogEnd(LOG, PerfLogger.POST_HOOK + peh.getClass().getName());
                 }
             }
 
@@ -1089,7 +1267,10 @@
                 SessionState.get().getHiveHistory().setQueryProperty(queryId, Keys.QUERY_RET_CODE, String.valueOf(0));
                 SessionState.get().getHiveHistory().printRowCount(queryId);
             }
+        } catch (CommandNeedRetryException e) {
+            throw e;
         } catch (Exception e) {
+            ctx.restoreOriginalTracker();
             if (SessionState.get() != null) {
                 SessionState.get().getHiveHistory().setQueryProperty(queryId, Keys.QUERY_RET_CODE, String.valueOf(12));
             }
@@ -1105,6 +1286,18 @@
             if (noName) {
                 conf.setVar(HiveConf.ConfVars.HADOOPJOBNAME, "");
             }
+            perfLogger.PerfLogEnd(LOG, PerfLogger.DRIVER_EXECUTE);
+
+            if (SessionState.get().getLastMapRedStatsList() != null
+                    && SessionState.get().getLastMapRedStatsList().size() > 0) {
+                long totalCpu = 0;
+                console.printInfo("MapReduce Jobs Launched: ");
+                for (int i = 0; i < SessionState.get().getLastMapRedStatsList().size(); i++) {
+                    console.printInfo("Job " + i + ": " + SessionState.get().getLastMapRedStatsList().get(i));
+                    totalCpu += SessionState.get().getLastMapRedStatsList().get(i).getCpuMSec();
+                }
+                console.printInfo("Total MapReduce CPU Time Spent: " + Utilities.formatMsecToStr(totalCpu));
+            }
         }
         plan.setDone();
 
@@ -1134,14 +1327,12 @@
      *            name of the task, if it is a map-reduce job
      * @param jobs
      *            number of map-reduce jobs
-     * @param curJobNo
-     *            the sequential number of the next map-reduce job
-     * @return the updated number of last the map-reduce job launched
+     * @param cxt
+     *            the driver context
      */
 
     public void launchTask(Task<? extends Serializable> tsk, String queryId, boolean noName,
             Map<TaskResult, TaskRunner> running, String jobname, int jobs, DriverContext cxt) {
-
         if (SessionState.get() != null) {
             SessionState.get().getHiveHistory().startTask(queryId, tsk, tsk.getClass().getName());
         }
@@ -1149,6 +1340,8 @@
             if (noName) {
                 conf.setVar(HiveConf.ConfVars.HADOOPJOBNAME, jobname + "(" + tsk.getId() + ")");
             }
+            conf.set("mapreduce.workflow.node.name", tsk.getId());
+            Utilities.setWorkflowAdjacencies(conf, plan);
             cxt.incCurJobNo(1);
             console.printInfo("Launching Job " + cxt.getCurJobNo() + " out of " + jobs);
         }
@@ -1156,7 +1349,13 @@
         TaskResult tskRes = new TaskResult();
         TaskRunner tskRun = new TaskRunner(tsk, tskRes);
 
-        // HiveConf.getBoolVar(conf, HiveConf.ConfVars.EXECPARALLEL) &&
+        // Launch Task
+        //if (HiveConf.getBoolVar(conf, HiveConf.ConfVars.EXECPARALLEL) && tsk.isMapRedTask()) {
+        // Launch it in the parallel mode, as a separate thread only for MR tasks
+        //  tskRun.start();
+        //} else {
+        //  tskRun.runSequential();
+        //}
         // Launch Task: hivesterix tweak
         if (tsk instanceof MapRedTask || tsk instanceof StatsTask) {
             // Launch it in the parallel mode, as a separate thread only for MR
@@ -1169,11 +1368,27 @@
             if (crs instanceof ConditionalResolverMergeFiles) {
                 tskRes.setRunning(false);
                 tskRes.setExitVal(0);
-
-                List<Task<? extends Serializable>> children = condTask.getListTasks();
-                for (Task<? extends Serializable> child : children)
-                    if (child instanceof MapRedTask)
-                        cxt.addToRunnable(child);
+                if (!executedConditionalTsks.contains(tsk)) {
+                    List<Task<? extends Serializable>> children = condTask.getListTasks();
+                    Task<? extends Serializable> selectedBranch = null;
+                    for (Task<? extends Serializable> branch : children) {
+                        if (branch instanceof MoveTask) {
+                            selectedBranch = branch;
+                            break;
+                        }
+                    }
+                    if (selectedBranch == null) {
+                        for (int i = children.size() - 1; i >= 0; i--) {
+                            Task<? extends Serializable> child = children.get(i);
+                            if (child instanceof MapRedTask) {
+                                selectedBranch = child;
+                                break;
+                            }
+                        }
+                    }
+                    executedConditionalTsks.add(tsk);
+                    cxt.addToRunnable(selectedBranch);
+                }
             }
         } else {
             tskRun.runSequential();
@@ -1185,12 +1400,18 @@
     /**
      * Cleans up remaining tasks in case of failure
      */
-
-    public void taskCleanup() {
-        // The currently existing Shutdown hooks will be automatically called,
-        // killing the map-reduce processes.
-        // The non MR processes will be killed as well.
-        System.exit(9);
+    public void taskCleanup(Map<TaskResult, TaskRunner> running) {
+        for (Map.Entry<TaskResult, TaskRunner> entry : running.entrySet()) {
+            if (entry.getKey().isRunning()) {
+                Task<?> task = entry.getValue().getTask();
+                try {
+                    task.shutdown();
+                } catch (Exception e) {
+                    console.printError("Exception on shutting down task " + task.getId() + ": " + e);
+                }
+            }
+        }
+        running.clear();
     }
 
     /**
@@ -1214,7 +1435,7 @@
             // In this loop, nothing was found
             // Sleep 10 seconds and restart
             try {
-                Thread.sleep(sleeptime);
+                Thread.sleep(SLEEP_TIME);
             } catch (InterruptedException ie) {
                 // Do Nothing
                 ;
@@ -1223,7 +1444,7 @@
         }
     }
 
-    public boolean getResults(ArrayList<String> res) throws IOException {
+    public boolean getResults(ArrayList<String> res) throws IOException, CommandNeedRetryException {
         if (plan != null && plan.getFetchTask() != null) {
             FetchTask ft = plan.getFetchTask();
             ft.setMaxRows(maxRows);
@@ -1276,6 +1497,14 @@
         return true;
     }
 
+    public int getTryCount() {
+        return tryCount;
+    }
+
+    public void setTryCount(int tryCount) {
+        this.tryCount = tryCount;
+    }
+
     public int close() {
         try {
             if (plan != null) {
@@ -1308,18 +1537,21 @@
     }
 
     public void destroy() {
-        releaseLocks();
+        if (ctx != null) {
+            releaseLocks(ctx.getHiveLocks());
+        }
+
+        if (hiveLockMgr != null) {
+            try {
+                hiveLockMgr.close();
+            } catch (LockException e) {
+                LOG.warn("Exception in closing hive lock manager. "
+                        + org.apache.hadoop.util.StringUtils.stringifyException(e));
+            }
+        }
     }
 
     public org.apache.hadoop.hive.ql.plan.api.Query getQueryPlan() throws IOException {
         return plan.getQueryPlan();
     }
-
-    public int getTryCount() {
-        return tryCount;
-    }
-
-    public void setTryCount(int tryCount) {
-        this.tryCount = tryCount;
-    }
 }
diff --git a/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFCount.java b/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFCount.java
index 2d5191d..1b96259 100644
--- a/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFCount.java
+++ b/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDAFCount.java
@@ -68,6 +68,7 @@
     @Override
     public GenericUDAFEvaluator getEvaluator(GenericUDAFParameterInfo paramInfo) throws SemanticException {
 
+        @SuppressWarnings("deprecation")
         TypeInfo[] parameters = paramInfo.getParameters();
 
         if (parameters.length == 0) {
diff --git a/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/serde2/typeinfo/TypeInfoFactory.java b/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/serde2/typeinfo/TypeInfoFactory.java
index 0fea4b9..e26f477 100644
--- a/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/serde2/typeinfo/TypeInfoFactory.java
+++ b/hivesterix/hivesterix-dist/src/main/java/org/apache/hadoop/hive/serde2/typeinfo/TypeInfoFactory.java
@@ -36,7 +36,7 @@
 import java.util.List;
 import java.util.concurrent.ConcurrentHashMap;
 
-import org.apache.hadoop.hive.serde.Constants;
+import org.apache.hadoop.hive.serde.serdeConstants;
 import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils;
 
 /**
@@ -65,15 +65,18 @@
         return result;
     }
 
-    public static final TypeInfo voidTypeInfo = getPrimitiveTypeInfo(Constants.VOID_TYPE_NAME);
-    public static final TypeInfo booleanTypeInfo = getPrimitiveTypeInfo(Constants.BOOLEAN_TYPE_NAME);
-    public static final TypeInfo intTypeInfo = getPrimitiveTypeInfo(Constants.INT_TYPE_NAME);
-    public static final TypeInfo longTypeInfo = getPrimitiveTypeInfo(Constants.BIGINT_TYPE_NAME);
-    public static final TypeInfo stringTypeInfo = getPrimitiveTypeInfo(Constants.STRING_TYPE_NAME);
-    public static final TypeInfo floatTypeInfo = getPrimitiveTypeInfo(Constants.FLOAT_TYPE_NAME);
-    public static final TypeInfo doubleTypeInfo = getPrimitiveTypeInfo(Constants.DOUBLE_TYPE_NAME);
-    public static final TypeInfo byteTypeInfo = getPrimitiveTypeInfo(Constants.TINYINT_TYPE_NAME);
-    public static final TypeInfo shortTypeInfo = getPrimitiveTypeInfo(Constants.SMALLINT_TYPE_NAME);
+    public static final TypeInfo voidTypeInfo = getPrimitiveTypeInfo(serdeConstants.VOID_TYPE_NAME);
+    public static final TypeInfo booleanTypeInfo = getPrimitiveTypeInfo(serdeConstants.BOOLEAN_TYPE_NAME);
+    public static final TypeInfo intTypeInfo = getPrimitiveTypeInfo(serdeConstants.INT_TYPE_NAME);
+    public static final TypeInfo longTypeInfo = getPrimitiveTypeInfo(serdeConstants.BIGINT_TYPE_NAME);
+    public static final TypeInfo stringTypeInfo = getPrimitiveTypeInfo(serdeConstants.STRING_TYPE_NAME);
+    public static final TypeInfo floatTypeInfo = getPrimitiveTypeInfo(serdeConstants.FLOAT_TYPE_NAME);
+    public static final TypeInfo doubleTypeInfo = getPrimitiveTypeInfo(serdeConstants.DOUBLE_TYPE_NAME);
+    public static final TypeInfo byteTypeInfo = getPrimitiveTypeInfo(serdeConstants.TINYINT_TYPE_NAME);
+    public static final TypeInfo shortTypeInfo = getPrimitiveTypeInfo(serdeConstants.SMALLINT_TYPE_NAME);
+    public static final TypeInfo timestampTypeInfo = getPrimitiveTypeInfo(serdeConstants.TIMESTAMP_TYPE_NAME);
+    public static final TypeInfo binaryTypeInfo = getPrimitiveTypeInfo(serdeConstants.BINARY_TYPE_NAME);
+    public static final TypeInfo decimalTypeInfo = getPrimitiveTypeInfo(serdeConstants.DECIMAL_TYPE_NAME);
 
     public static final TypeInfo unknownTypeInfo = getPrimitiveTypeInfo("unknown");
 
diff --git a/hivesterix/hivesterix-dist/src/main/resources/conf/hive-default.xml b/hivesterix/hivesterix-dist/src/main/resources/conf/hive-default.xml
deleted file mode 100644
index 23a842a..0000000
--- a/hivesterix/hivesterix-dist/src/main/resources/conf/hive-default.xml
+++ /dev/null
@@ -1,773 +0,0 @@
-<?xml version="1.0"?>
-<!--
- ! Copyright 2009-2013 by The Regents of the University of California
- ! Licensed under the Apache License, Version 2.0 (the "License");
- ! you may not use this file except in compliance with the License.
- ! you may obtain a copy of the License from
- ! 
- !     http://www.apache.org/licenses/LICENSE-2.0
- ! 
- ! Unless required by applicable law or agreed to in writing, software
- ! distributed under the License is distributed on an "AS IS" BASIS,
- ! WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- ! See the License for the specific language governing permissions and
- ! limitations under the License.
- !-->
-<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
-
-<configuration>
-
-	<!-- Hive Configuration can either be stored in this file or in the hadoop 
-		configuration files -->
-	<!-- that are implied by Hadoop setup variables. -->
-	<!-- Aside from Hadoop setup variables - this file is provided as a convenience 
-		so that Hive -->
-	<!-- users do not have to edit hadoop configuration files (that may be managed 
-		as a centralized -->
-	<!-- resource). -->
-
-	<!-- Hive Execution Parameters -->
-	<property>
-		<name>mapred.reduce.tasks</name>
-		<value>-1</value>
-		<description>The default number of reduce tasks per job. Typically set
-			to a prime close to the number of available hosts. Ignored when
-			mapred.job.tracker is "local". Hadoop set this to 1 by default,
-			whereas hive uses -1 as its default value.
-			By setting this property to -1, Hive will automatically figure out what
-			should be the number of reducers.
-        	</description>
-        </property>
-
-        <property>
-		<name>hive.hyracks.connectorpolicy</name>
-		<value>PIPELINING</value>
-        </property>
-
-	<property>
-		<name>hive.hyracks.parrallelism</name>
-		<value>4</value>
-	</property>
-
-	<property>
-		<name>hive.algebricks.groupby.external</name>
-		<value>true</value>
-	</property>
-	
-	<property>
-		<name>hive.algebricks.groupby.external.memory</name>
-		<value>33554432</value>
-	</property>
-	
-	<property>
-		<name>hive.algebricks.sort.memory</name>
-		<value>33554432</value>
-	</property>
-
-	<property>
-		<name>hive.exec.reducers.bytes.per.reducer</name>
-		<value>1000000000</value>
-		<description>size per reducer.The default is 1G, i.e if the input size
-			is 10G, it will use 10 reducers.</description>
-	</property>
-
-	<property>
-		<name>hive.exec.reducers.max</name>
-		<value>999</value>
-		<description>max number of reducers will be used. If the one
-			specified in the configuration parameter mapred.reduce.tasks is
-			negative, hive will use this one as the max number of reducers when
-			automatically determine number of reducers.</description>
-	</property>
-
-	<property>
-		<name>hive.exec.scratchdir</name>
-		<value>/hive-${user.name}</value>
-		<description>Scratch space for Hive jobs</description>
-	</property>
-
-	<property>
-		<name>hive.test.mode</name>
-		<value>false</value>
-		<description>whether hive is running in test mode. If yes, it turns on
-			sampling and prefixes the output tablename</description>
-	</property>
-
-	<property>
-		<name>hive.test.mode.prefix</name>
-		<value>test_</value>
-		<description>if hive is running in test mode, prefixes the output
-			table by this string</description>
-	</property>
-
-	<!-- If the input table is not bucketed, the denominator of the tablesample 
-		is determinied by the parameter below -->
-	<!-- For example, the following query: -->
-	<!-- INSERT OVERWRITE TABLE dest -->
-	<!-- SELECT col1 from src -->
-	<!-- would be converted to -->
-	<!-- INSERT OVERWRITE TABLE test_dest -->
-	<!-- SELECT col1 from src TABLESAMPLE (BUCKET 1 out of 32 on rand(1)) -->
-	<property>
-		<name>hive.test.mode.samplefreq</name>
-		<value>32</value>
-		<description>if hive is running in test mode and table is not
-			bucketed, sampling frequency</description>
-	</property>
-
-	<property>
-		<name>hive.test.mode.nosamplelist</name>
-		<value></value>
-		<description>if hive is running in test mode, dont sample the above
-			comma seperated list of tables</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.local</name>
-		<value>true</value>
-		<description>controls whether to connect to remove metastore server or
-			open a new metastore server in Hive Client JVM</description>
-	</property>
-
-	<property>
-		<name>javax.jdo.option.ConnectionURL</name>
-		<value>jdbc:derby:;databaseName=metastore_db;create=true</value>
-		<description>JDBC connect string for a JDBC metastore</description>
-	</property>
-
-	<property>
-		<name>javax.jdo.option.ConnectionDriverName</name>
-		<value>org.apache.derby.jdbc.EmbeddedDriver</value>
-		<description>Driver class name for a JDBC metastore</description>
-	</property>
-
-	<property>
-		<name>javax.jdo.PersistenceManagerFactoryClass</name>
-		<value>org.datanucleus.jdo.JDOPersistenceManagerFactory</value>
-		<description>class implementing the jdo persistence</description>
-	</property>
-
-	<property>
-		<name>datanucleus.connectionPoolingType</name>
-		<value>DBCP</value>
-		<description>Uses a DBCP connection pool for JDBC metastore
-		</description>
-	</property>
-
-	<property>
-		<name>javax.jdo.option.DetachAllOnCommit</name>
-		<value>true</value>
-		<description>detaches all objects from session so that they can be
-			used after transaction is committed</description>
-	</property>
-
-	<property>
-		<name>javax.jdo.option.NonTransactionalRead</name>
-		<value>true</value>
-		<description>reads outside of transactions</description>
-	</property>
-
-	<property>
-		<name>javax.jdo.option.ConnectionUserName</name>
-		<value>APP</value>
-		<description>username to use against metastore database</description>
-	</property>
-
-	<property>
-		<name>javax.jdo.option.ConnectionPassword</name>
-		<value>mine</value>
-		<description>password to use against metastore database</description>
-	</property>
-
-	<property>
-		<name>datanucleus.validateTables</name>
-		<value>false</value>
-		<description>validates existing schema against code. turn this on if
-			you want to verify existing schema </description>
-	</property>
-
-	<property>
-		<name>datanucleus.validateColumns</name>
-		<value>false</value>
-		<description>validates existing schema against code. turn this on if
-			you want to verify existing schema </description>
-	</property>
-
-	<property>
-		<name>datanucleus.validateConstraints</name>
-		<value>false</value>
-		<description>validates existing schema against code. turn this on if
-			you want to verify existing schema </description>
-	</property>
-
-	<property>
-		<name>datanucleus.storeManagerType</name>
-		<value>rdbms</value>
-		<description>metadata store type</description>
-	</property>
-
-	<property>
-		<name>datanucleus.autoCreateSchema</name>
-		<value>true</value>
-		<description>creates necessary schema on a startup if one doesn't
-			exist. set this to false, after creating it once</description>
-	</property>
-
-	<property>
-		<name>datanucleus.autoStartMechanismMode</name>
-		<value>checked</value>
-		<description>throw exception if metadata tables are incorrect
-		</description>
-	</property>
-
-	<property>
-		<name>datanucleus.transactionIsolation</name>
-		<value>read-committed</value>
-		<description>Default transaction isolation level for identity
-			generation. </description>
-	</property>
-
-	<property>
-		<name>datanucleus.cache.level2</name>
-		<value>false</value>
-		<description>Use a level 2 cache. Turn this off if metadata is changed
-			independently of hive metastore server</description>
-	</property>
-
-	<property>
-		<name>datanucleus.cache.level2.type</name>
-		<value>SOFT</value>
-		<description>SOFT=soft reference based cache, WEAK=weak reference
-			based cache.</description>
-	</property>
-
-	<property>
-		<name>datanucleus.identifierFactory</name>
-		<value>datanucleus</value>
-		<description>Name of the identifier factory to use when generating
-			table/column names etc. 'datanucleus' is used for backward
-			compatibility</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.warehouse.dir</name>
-		<value>/user/hivesterix</value>
-		<description>location of default database for the warehouse
-		</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.connect.retries</name>
-		<value>5</value>
-		<description>Number of retries while opening a connection to metastore
-		</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.rawstore.impl</name>
-		<value>org.apache.hadoop.hive.metastore.ObjectStore</value>
-		<description>Name of the class that implements
-			org.apache.hadoop.hive.metastore.rawstore interface. This class is
-			used to store and retrieval of raw metadata objects such as table,
-			database</description>
-	</property>
-
-	<property>
-		<name>hive.default.fileformat</name>
-		<value>TextFile</value>
-		<description>Default file format for CREATE TABLE statement. Options
-			are TextFile and SequenceFile. Users can explicitly say CREATE TABLE
-			... STORED AS &lt;TEXTFILE|SEQUENCEFILE&gt; to override</description>
-	</property>
-
-	<property>
-		<name>hive.fileformat.check</name>
-		<value>true</value>
-		<description>Whether to check file format or not when loading data
-			files</description>
-	</property>
-
-	<property>
-		<name>hive.map.aggr</name>
-		<value>true</value>
-		<description>Whether to use map-side aggregation in Hive Group By
-			queries</description>
-	</property>
-
-	<property>
-		<name>hive.groupby.skewindata</name>
-		<value>false</value>
-		<description>Whether there is skew in data to optimize group by
-			queries</description>
-	</property>
-
-	<property>
-		<name>hive.groupby.mapaggr.checkinterval</name>
-		<value>100000</value>
-		<description>Number of rows after which size of the grouping
-			keys/aggregation classes is performed</description>
-	</property>
-
-	<property>
-		<name>hive.mapred.local.mem</name>
-		<value>0</value>
-		<description>For local mode, memory of the mappers/reducers
-		</description>
-	</property>
-
-	<property>
-		<name>hive.map.aggr.hash.percentmemory</name>
-		<value>0.5</value>
-		<description>Portion of total memory to be used by map-side grup
-			aggregation hash table</description>
-	</property>
-
-	<property>
-		<name>hive.map.aggr.hash.min.reduction</name>
-		<value>0.5</value>
-		<description>Hash aggregation will be turned off if the ratio between
-			hash
-			table size and input rows is bigger than this number. Set to 1 to make
-			sure
-			hash aggregation is never turned off.</description>
-	</property>
-
-	<property>
-		<name>hive.optimize.cp</name>
-		<value>true</value>
-		<description>Whether to enable column pruner</description>
-	</property>
-
-	<property>
-		<name>hive.optimize.ppd</name>
-		<value>true</value>
-		<description>Whether to enable predicate pushdown</description>
-	</property>
-
-	<property>
-		<name>hive.optimize.pruner</name>
-		<value>true</value>
-		<description>Whether to enable the new partition pruner which depends
-			on predicate pushdown. If this is disabled,
-			the old partition pruner which is based on AST will be enabled.
-		</description>
-	</property>
-
-	<property>
-		<name>hive.optimize.groupby</name>
-		<value>true</value>
-		<description>Whether to enable the bucketed group by from bucketed
-			partitions/tables.</description>
-	</property>
-
-	<property>
-		<name>hive.join.emit.interval</name>
-		<value>1000</value>
-		<description>How many rows in the right-most join operand Hive should
-			buffer before emitting the join result. </description>
-	</property>
-
-	<property>
-		<name>hive.join.cache.size</name>
-		<value>25000</value>
-		<description>How many rows in the joining tables (except the streaming
-			table) should be cached in memory. </description>
-	</property>
-
-	<property>
-		<name>hive.mapjoin.bucket.cache.size</name>
-		<value>100</value>
-		<description>How many values in each keys in the map-joined table
-			should be cached in memory. </description>
-	</property>
-
-	<property>
-		<name>hive.mapjoin.maxsize</name>
-		<value>100000</value>
-		<description>Maximum # of rows of the small table that can be handled
-			by map-side join. If the size is reached and hive.task.progress is
-			set, a fatal error counter is set and the job will be killed.
-		</description>
-	</property>
-
-	<property>
-		<name>hive.mapjoin.cache.numrows</name>
-		<value>25000</value>
-		<description>How many rows should be cached by jdbm for map join.
-		</description>
-	</property>
-
-	<property>
-		<name>hive.optimize.skewjoin</name>
-		<value>false</value>
-		<description>Whether to enable skew join optimization. </description>
-	</property>
-
-	<property>
-		<name>hive.skewjoin.key</name>
-		<value>100000</value>
-		<description>Determine if we get a skew key in join. If we see more
-			than the specified number of rows with the same key in join operator,
-			we think the key as a skew join key. </description>
-	</property>
-
-	<property>
-		<name>hive.skewjoin.mapjoin.map.tasks</name>
-		<value>10000</value>
-		<description> Determine the number of map task used in the follow up
-			map join job
-			for a skew join. It should be used together with
-			hive.skewjoin.mapjoin.min.split
-			to perform a fine grained control.</description>
-	</property>
-
-	<property>
-		<name>hive.skewjoin.mapjoin.min.split</name>
-		<value>33554432</value>
-		<description> Determine the number of map task at most used in the
-			follow up map join job
-			for a skew join by specifying the minimum split size. It should be used
-			together with
-			hive.skewjoin.mapjoin.map.tasks to perform a fine grained control.</description>
-	</property>
-
-	<property>
-		<name>hive.mapred.mode</name>
-		<value>nonstrict</value>
-		<description>The mode in which the hive operations are being
-			performed. In strict mode, some risky queries are not allowed to run
-		</description>
-	</property>
-
-	<property>
-		<name>hive.exec.script.maxerrsize</name>
-		<value>100000</value>
-		<description>Maximum number of bytes a script is allowed to emit to
-			standard error (per map-reduce task). This prevents runaway scripts
-			from filling logs partitions to capacity </description>
-	</property>
-
-	<property>
-		<name>hive.exec.script.allow.partial.consumption</name>
-		<value>false</value>
-		<description> When enabled, this option allows a user script to exit
-			successfully without consuming all the data from the standard input.
-		</description>
-	</property>
-
-	<property>
-		<name>hive.script.operator.id.env.var</name>
-		<value>HIVE_SCRIPT_OPERATOR_ID</value>
-		<description> Name of the environment variable that holds the unique
-			script operator ID in the user's transform function (the custom
-			mapper/reducer that the user has specified in the query)
-		</description>
-	</property>
-
-	<property>
-		<name>hive.exec.compress.output</name>
-		<value>false</value>
-		<description> This controls whether the final outputs of a query (to a
-			local/hdfs file or a hive table) is compressed. The compression codec
-			and other options are determined from hadoop config variables
-			mapred.output.compress* </description>
-	</property>
-
-	<property>
-		<name>hive.exec.compress.intermediate</name>
-		<value>false</value>
-		<description> This controls whether intermediate files produced by
-			hive between multiple map-reduce jobs are compressed. The compression
-			codec and other options are determined from hadoop config variables
-			mapred.output.compress* </description>
-	</property>
-
-	<property>
-		<name>hive.exec.parallel</name>
-		<value>false</value>
-		<description>Whether to execute jobs in parallel</description>
-	</property>
-
-	<property>
-		<name>hive.exec.parallel.thread.number</name>
-		<value>8</value>
-		<description>How many jobs at most can be executed in parallel
-		</description>
-	</property>
-
-	<property>
-		<name>hive.hwi.war.file</name>
-		<value>lib\hive-hwi-0.7.0.war</value>
-		<description>This sets the path to the HWI war file, relative to
-			${HIVE_HOME}. </description>
-	</property>
-
-	<property>
-		<name>hive.hwi.listen.host</name>
-		<value>0.0.0.0</value>
-		<description>This is the host address the Hive Web Interface will
-			listen on</description>
-	</property>
-
-	<property>
-		<name>hive.hwi.listen.port</name>
-		<value>9999</value>
-		<description>This is the port the Hive Web Interface will listen on
-		</description>
-	</property>
-
-	<property>
-		<name>hive.exec.pre.hooks</name>
-		<value></value>
-		<description>Pre Execute Hook for Tests</description>
-	</property>
-
-	<property>
-		<name>hive.merge.mapfiles</name>
-		<value>true</value>
-		<description>Merge small files at the end of a map-only job
-		</description>
-	</property>
-
-	<property>
-		<name>hive.merge.mapredfiles</name>
-		<value>false</value>
-		<description>Merge small files at the end of a map-reduce job
-		</description>
-	</property>
-
-	<property>
-		<name>hive.heartbeat.interval</name>
-		<value>1000</value>
-		<description>Send a heartbeat after this interval - used by mapjoin
-			and filter operators</description>
-	</property>
-
-	<property>
-		<name>hive.merge.size.per.task</name>
-		<value>256000000</value>
-		<description>Size of merged files at the end of the job</description>
-	</property>
-
-	<property>
-		<name>hive.merge.size.smallfiles.avgsize</name>
-		<value>16000000</value>
-		<description>When the average output file size of a job is less than
-			this number, Hive will start an additional map-reduce job to merge
-			the output files into bigger files. This is only done for map-only
-			jobs if hive.merge.mapfiles is true, and for map-reduce jobs if
-			hive.merge.mapredfiles is true.</description>
-	</property>
-
-	<property>
-		<name>hive.script.auto.progress</name>
-		<value>false</value>
-		<description>Whether Hive Tranform/Map/Reduce Clause should
-			automatically send progress information to TaskTracker to avoid the
-			task getting killed because of inactivity. Hive sends progress
-			information when the script is outputting to stderr. This option
-			removes the need of periodically producing stderr messages, but users
-			should be cautious because this may prevent infinite loops in the
-			scripts to be killed by TaskTracker.  </description>
-	</property>
-
-	<property>
-		<name>hive.script.serde</name>
-		<value>org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe</value>
-		<description>The default serde for trasmitting input data to and
-			reading output data from the user scripts. </description>
-	</property>
-
-	<property>
-		<name>hive.script.recordreader</name>
-		<value>org.apache.hadoop.hive.ql.exec.TextRecordReader</value>
-		<description>The default record reader for reading data from the user
-			scripts. </description>
-	</property>
-
-	<property>
-		<name>hive.script.recordwriter</name>
-		<value>org.apache.hadoop.hive.ql.exec.TextRecordWriter</value>
-		<description>The default record writer for writing data to the user
-			scripts. </description>
-	</property>
-
-	<property>
-		<name>hive.input.format</name>
-		<value>org.apache.hadoop.hive.ql.io.HiveInputFormat</value>
-		<description>The default input format, if it is not specified, the
-			system assigns it. It is set to HiveInputFormat for hadoop versions
-			17, 18 and 19, whereas it is set to CombinedHiveInputFormat for
-			hadoop 20. The user can always overwrite it - if there is a bug in
-			CombinedHiveInputFormat, it can always be manually set to
-			HiveInputFormat. </description>
-	</property>
-
-	<property>
-		<name>hive.udtf.auto.progress</name>
-		<value>false</value>
-		<description>Whether Hive should automatically send progress
-			information to TaskTracker when using UDTF's to prevent the task
-			getting killed because of inactivity. Users should be cautious
-			because this may prevent TaskTracker from killing tasks with infinte
-			loops.  </description>
-	</property>
-
-	<property>
-		<name>hive.mapred.reduce.tasks.speculative.execution</name>
-		<value>true</value>
-		<description>Whether speculative execution for reducers should be
-			turned on. </description>
-	</property>
-
-	<property>
-		<name>hive.exec.counters.pull.interval</name>
-		<value>1000</value>
-		<description>The interval with which to poll the JobTracker for the
-			counters the running job. The smaller it is the more load there will
-			be on the jobtracker, the higher it is the less granular the caught
-			will be.</description>
-	</property>
-
-	<property>
-		<name>hive.enforce.bucketing</name>
-		<value>false</value>
-		<description>Whether bucketing is enforced. If true, while inserting
-			into the table, bucketing is enforced. </description>
-	</property>
-
-	<property>
-		<name>hive.enforce.sorting</name>
-		<value>false</value>
-		<description>Whether sorting is enforced. If true, while inserting
-			into the table, sorting is enforced. </description>
-	</property>
-
-	<property>
-		<name>hive.metastore.ds.connection.url.hook</name>
-		<value></value>
-		<description>Name of the hook to use for retriving the JDO connection
-			URL. If empty, the value in javax.jdo.option.ConnectionURL is used
-		</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.ds.retry.attempts</name>
-		<value>1</value>
-		<description>The number of times to retry a metastore call if there
-			were a connection error</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.ds.retry.interval</name>
-		<value>1000</value>
-		<description>The number of miliseconds between metastore retry
-			attempts</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.server.min.threads</name>
-		<value>200</value>
-		<description>Minimum number of worker threads in the Thrift server's
-			pool.</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.server.max.threads</name>
-		<value>100000</value>
-		<description>Maximum number of worker threads in the Thrift server's
-			pool.</description>
-	</property>
-
-	<property>
-		<name>hive.metastore.server.tcp.keepalive</name>
-		<value>true</value>
-		<description>Whether to enable TCP keepalive for the metastore server.
-			Keepalive will prevent accumulation of half-open connections.
-		</description>
-	</property>
-
-	<property>
-		<name>hive.optimize.reducededuplication</name>
-		<value>true</value>
-		<description>Remove extra map-reduce jobs if the data is already
-			clustered by the same key which needs to be used again. This should
-			always be set to true. Since it is a new feature, it has been made
-			configurable.</description>
-	</property>
-
-	<property>
-		<name>hive.exec.dynamic.partition</name>
-		<value>false</value>
-		<description>Whether or not to allow dynamic partitions in DML/DDL.
-		</description>
-	</property>
-
-	<property>
-		<name>hive.exec.dynamic.partition.mode</name>
-		<value>strict</value>
-		<description>In strict mode, the user must specify at least one static
-			partition in case the user accidentally overwrites all partitions.
-		</description>
-	</property>
-
-	<property>
-		<name>hive.exec.max.dynamic.partitions</name>
-		<value>1000</value>
-		<description>Maximum number of dynamic partitions allowed to be
-			created in total.</description>
-	</property>
-
-	<property>
-		<name>hive.exec.max.dynamic.partitions.pernode</name>
-		<value>100</value>
-		<description>Maximum number of dynamic partitions allowed to be
-			created in each mapper/reducer node.</description>
-	</property>
-
-	<property>
-		<name>hive.default.partition.name</name>
-		<value>__HIVE_DEFAULT_PARTITION__</value>
-		<description>The default partition name in case the dynamic partition
-			column value is null/empty string or anyother values that cannot be
-			escaped. This value must not contain any special character used in
-			HDFS URI (e.g., ':', '%', '/' etc). The user has to be aware that the
-			dynamic partition value should not contain this value to avoid
-			confusions.</description>
-	</property>
-
-	<property>
-		<name>fs.har.impl</name>
-		<value>org.apache.hadoop.hive.shims.HiveHarFileSystem</value>
-		<description>The implementation for accessing Hadoop Archives. Note
-			that this won't be applicable to Hadoop vers less than 0.20
-		</description>
-	</property>
-
-	<property>
-		<name>hive.archive.enabled</name>
-		<value>false</value>
-		<description>Whether archiving operations are permitted</description>
-	</property>
-
-	<property>
-		<name>hive.archive.har.parentdir.settable</name>
-		<value>false</value>
-		<description>In new Hadoop versions, the parent directory must be set
-			while
-			creating a HAR. Because this functionality is hard to detect with just
-			version
-			numbers, this conf var needs to be set manually.</description>
-	</property>
-
-	<!-- HBase Storage Handler Parameters -->
-
-	<property>
-		<name>hive.hbase.wal.enabled</name>
-		<value>true</value>
-		<description>Whether writes to HBase should be forced to the
-			write-ahead log. Disabling this improves HBase write performance at
-			the risk of lost writes in case of a crash.</description>
-	</property>
-
-</configuration>
diff --git a/hivesterix/hivesterix-dist/src/main/resources/conf/hive-log4j.properties b/hivesterix/hivesterix-dist/src/main/resources/conf/hive-log4j.properties
index eab38a6..6f195f5 100644
--- a/hivesterix/hivesterix-dist/src/main/resources/conf/hive-log4j.properties
+++ b/hivesterix/hivesterix-dist/src/main/resources/conf/hive-log4j.properties
@@ -31,7 +31,7 @@
 #      FATAL, ERROR, WARN, INFO, DEBUG
 #
 #------------------------------------------------------------------------------
-log4j.rootCategory=INFO, S
+log4j.rootCategory=FATAL, S
 
 log4j.logger.com.dappit.Dapper.parser=ERROR
 log4j.logger.org.w3c.tidy=FATAL
diff --git a/hivesterix/hivesterix-dist/src/main/resources/conf/hive-site.xml b/hivesterix/hivesterix-dist/src/main/resources/conf/hive-site.xml
new file mode 100644
index 0000000..ccfcd74
--- /dev/null
+++ b/hivesterix/hivesterix-dist/src/main/resources/conf/hive-site.xml
@@ -0,0 +1,5189 @@
+<?xml version="1.0"?>
+<!-- ! Copyright 2009-2013 by The Regents of the University of California 
+	! Licensed under the Apache License, Version 2.0 (the "License"); ! you may 
+	not use this file except in compliance with the License. ! you may obtain 
+	a copy of the License from ! ! http://www.apache.org/licenses/LICENSE-2.0 
+	! ! Unless required by applicable law or agreed to in writing, software ! 
+	distributed under the License is distributed on an "AS IS" BASIS, ! WITHOUT 
+	WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ! See the 
+	License for the specific language governing permissions and ! limitations 
+	under the License. ! -->
+<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
+
+<configuration>
+
+	<configuration>
+		<!-- Hivesterix Execution Parameters -->
+		<property>
+			<name>hive.hyracks.connectorpolicy</name>
+			<value>PIPELINING</value>
+		</property>
+
+		<property>
+			<name>hive.hyracks.parrallelism</name>
+			<value>4</value>
+		</property>
+
+		<property>
+			<name>hive.algebricks.groupby.external</name>
+			<value>true</value>
+		</property>
+		
+		<property>
+			<name>hive.algebricks.groupby.external.memory</name>
+			<value>33554432</value>
+		</property>
+
+		<property>
+			<name>hive.algebricks.sort.memory</name>
+			<value>33554432</value>
+		</property>
+		
+		<property>
+            <name>hive.algebricks.framesize</name>
+            <value>32768</value>
+        </property>
+
+		<!-- Hive Execution Parameters -->
+		<property>
+			<name>mapred.reduce.tasks</name>
+			<value>-1</value>
+			<description>The default number of reduce tasks per job. Typically
+				set
+				to a prime close to the number of available hosts. Ignored when
+				mapred.job.tracker is "local". Hadoop set this to 1 by default,
+				whereas hive uses -1 as its default value.
+				By setting this property
+				to -1, Hive will automatically figure out
+				what should be the number
+				of reducers.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.reducers.bytes.per.reducer</name>
+			<value>1000000000</value>
+			<description>size per reducer.The default is 1G, i.e if the input
+				size is 10G, it will use 10 reducers.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.reducers.max</name>
+			<value>999</value>
+			<description>max number of reducers will be used. If the one
+				specified in the configuration parameter mapred.reduce.tasks is
+				negative, hive will use this one as the max number of reducers when
+				automatically determine number of reducers.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.cli.print.header</name>
+			<value>false</value>
+			<description>Whether to print the names of the columns in query
+				output.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.cli.print.current.db</name>
+			<value>false</value>
+			<description>Whether to include the current database in the hive
+				prompt.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.cli.prompt</name>
+			<value>hive</value>
+			<description>Command line prompt configuration value. Other hiveconf
+				can be used in
+				this configuration value. Variable substitution will
+				only be invoked at
+				the hive
+				cli startup.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.cli.pretty.output.num.cols</name>
+			<value>-1</value>
+			<description>The number of columns to use when formatting output
+				generated
+				by the DESCRIBE PRETTY table_name command. If the value of
+				this
+				property
+				is -1, then hive will use the auto-detected terminal
+				width.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.scratchdir</name>
+			<value>/tmp/hive-${user.name}</value>
+			<description>Scratch space for Hive jobs</description>
+		</property>
+
+		<property>
+			<name>hive.exec.local.scratchdir</name>
+			<value>/tmp/${user.name}</value>
+			<description>Local scratch space for Hive jobs</description>
+		</property>
+
+		<property>
+			<name>hive.test.mode</name>
+			<value>false</value>
+			<description>whether hive is running in test mode. If yes, it turns
+				on sampling and prefixes the output tablename
+			</description>
+		</property>
+
+		<property>
+			<name>hive.test.mode.prefix</name>
+			<value>test_</value>
+			<description>if hive is running in test mode, prefixes the output
+				table by this string
+			</description>
+		</property>
+
+		<!-- If the input table is not bucketed, the denominator of the tablesample 
+			is determinied by the parameter below -->
+		<!-- For example, the following query: -->
+		<!-- INSERT OVERWRITE TABLE dest -->
+		<!-- SELECT col1 from src -->
+		<!-- would be converted to -->
+		<!-- INSERT OVERWRITE TABLE test_dest -->
+		<!-- SELECT col1 from src TABLESAMPLE (BUCKET 1 out of 32 on rand(1)) -->
+		<property>
+			<name>hive.test.mode.samplefreq</name>
+			<value>32</value>
+			<description>if hive is running in test mode and table is not
+				bucketed, sampling frequency
+			</description>
+		</property>
+
+		<property>
+			<name>hive.test.mode.nosamplelist</name>
+			<value></value>
+			<description>if hive is running in test mode, dont sample the above
+				comma seperated list of tables
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.uris</name>
+			<value></value>
+			<description>Thrift uri for the remote metastore. Used by metastore
+				client to connect to remote metastore.
+			</description>
+		</property>
+
+		<property>
+			<name>javax.jdo.option.ConnectionURL</name>
+			<value>jdbc:derby:;databaseName=metastore_db;create=true</value>
+			<description>JDBC connect string for a JDBC metastore</description>
+		</property>
+
+		<property>
+			<name>javax.jdo.option.ConnectionDriverName</name>
+			<value>org.apache.derby.jdbc.EmbeddedDriver</value>
+			<description>Driver class name for a JDBC metastore</description>
+		</property>
+
+		<property>
+			<name>javax.jdo.PersistenceManagerFactoryClass</name>
+			<value>org.datanucleus.jdo.JDOPersistenceManagerFactory</value>
+			<description>class implementing the jdo persistence</description>
+		</property>
+
+		<property>
+			<name>javax.jdo.option.DetachAllOnCommit</name>
+			<value>true</value>
+			<description>detaches all objects from session so that they can be
+				used after transaction is committed
+			</description>
+		</property>
+
+		<property>
+			<name>javax.jdo.option.NonTransactionalRead</name>
+			<value>true</value>
+			<description>reads outside of transactions</description>
+		</property>
+
+		<property>
+			<name>javax.jdo.option.ConnectionUserName</name>
+			<value>APP</value>
+			<description>username to use against metastore database</description>
+		</property>
+
+		<property>
+			<name>javax.jdo.option.ConnectionPassword</name>
+			<value>mine</value>
+			<description>password to use against metastore database</description>
+		</property>
+
+		<property>
+			<name>javax.jdo.option.Multithreaded</name>
+			<value>true</value>
+			<description>Set this to true if multiple threads access metastore
+				through JDO concurrently.
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.connectionPoolingType</name>
+			<value>DBCP</value>
+			<description>Uses a DBCP connection pool for JDBC metastore
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.validateTables</name>
+			<value>false</value>
+			<description>validates existing schema against code. turn this on if
+				you want to verify existing schema
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.validateColumns</name>
+			<value>false</value>
+			<description>validates existing schema against code. turn this on if
+				you want to verify existing schema
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.validateConstraints</name>
+			<value>false</value>
+			<description>validates existing schema against code. turn this on if
+				you want to verify existing schema
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.storeManagerType</name>
+			<value>rdbms</value>
+			<description>metadata store type</description>
+		</property>
+
+		<property>
+			<name>datanucleus.autoCreateSchema</name>
+			<value>true</value>
+			<description>creates necessary schema on a startup if one doesn't
+				exist. set this to false, after creating it once
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.autoStartMechanismMode</name>
+			<value>checked</value>
+			<description>throw exception if metadata tables are incorrect
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.transactionIsolation</name>
+			<value>read-committed</value>
+			<description>Default transaction isolation level for identity
+				generation.
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.cache.level2</name>
+			<value>false</value>
+			<description>Use a level 2 cache. Turn this off if metadata is
+				changed independently of hive metastore server
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.cache.level2.type</name>
+			<value>SOFT</value>
+			<description>SOFT=soft reference based cache, WEAK=weak reference
+				based cache.
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.identifierFactory</name>
+			<value>datanucleus</value>
+			<description>Name of the identifier factory to use when generating
+				table/column names etc. 'datanucleus' is used for backward
+				compatibility
+			</description>
+		</property>
+
+		<property>
+			<name>datanucleus.plugin.pluginRegistryBundleCheck</name>
+			<value>LOG</value>
+			<description>Defines what happens when plugin bundles are found and
+				are duplicated [EXCEPTION|LOG|NONE]
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.warehouse.dir</name>
+			<value>/user/hive/warehouse</value>
+			<description>location of default database for the warehouse
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.execute.setugi</name>
+			<value>false</value>
+			<description>In unsecure mode, setting this property to true will
+				cause the metastore to execute DFS operations using the client's
+				reported user and group permissions. Note that this property must be
+				set on both the client and server sides. Further note that its best
+				effort. If client sets its to true and server sets it to false,
+				client setting will be ignored.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.event.listeners</name>
+			<value></value>
+			<description>list of comma seperated listeners for metastore events.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.partition.inherit.table.properties</name>
+			<value></value>
+			<description>list of comma seperated keys occurring in table
+				properties which will get inherited to newly created partitions. *
+				implies all the keys will get inherited.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metadata.export.location</name>
+			<value></value>
+			<description>When used in conjunction with the
+				org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event
+				listener, it is the location to which the metadata will be exported.
+				The default is an empty string, which results in the metadata being
+				exported to the current user's home directory on HDFS.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metadata.move.exported.metadata.to.trash</name>
+			<value></value>
+			<description>When used in conjunction with the
+				org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event
+				listener, this setting determines if the metadata that is exported
+				will subsequently be moved to the user's trash directory alongside
+				the dropped table data. This ensures that the metadata will be
+				cleaned up along with the dropped table data.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.partition.name.whitelist.pattern</name>
+			<value></value>
+			<description>Partition names will be checked against this regex
+				pattern and rejected if not matched.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.end.function.listeners</name>
+			<value></value>
+			<description>list of comma separated listeners for the end of
+				metastore functions.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.event.expiry.duration</name>
+			<value>0</value>
+			<description>Duration after which events expire from events table (in
+				seconds)
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.event.clean.freq</name>
+			<value>0</value>
+			<description>Frequency at which timer task runs to purge expired
+				events in metastore(in seconds).
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.connect.retries</name>
+			<value>5</value>
+			<description>Number of retries while opening a connection to
+				metastore
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.failure.retries</name>
+			<value>3</value>
+			<description>Number of retries upon failure of Thrift metastore calls
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.client.connect.retry.delay</name>
+			<value>1</value>
+			<description>Number of seconds for the client to wait between
+				consecutive connection attempts
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.client.socket.timeout</name>
+			<value>20</value>
+			<description>MetaStore Client socket timeout in seconds</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.rawstore.impl</name>
+			<value>org.apache.hadoop.hive.metastore.ObjectStore</value>
+			<description>Name of the class that implements
+				org.apache.hadoop.hive.metastore.rawstore interface. This class is
+				used to store and retrieval of raw metadata objects such as table,
+				database
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.batch.retrieve.max</name>
+			<value>300</value>
+			<description>Maximum number of objects (tables/partitions) can be
+				retrieved from metastore in one batch. The higher the number, the
+				less the number of round trips is needed to the Hive metastore
+				server, but it may also cause higher memory requirement at the
+				client side.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.batch.retrieve.table.partition.max</name>
+			<value>1000</value>
+			<description>Maximum number of table partitions that metastore
+				internally retrieves in one batch.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.default.fileformat</name>
+			<value>TextFile</value>
+			<description>Default file format for CREATE TABLE statement. Options
+				are TextFile and SequenceFile. Users can explicitly say CREATE TABLE
+				... STORED AS &lt;TEXTFILE|SEQUENCEFILE&gt; to override
+			</description>
+		</property>
+
+		<property>
+			<name>hive.fileformat.check</name>
+			<value>true</value>
+			<description>Whether to check file format or not when loading data
+				files
+			</description>
+		</property>
+
+		<property>
+			<name>hive.map.aggr</name>
+			<value>true</value>
+			<description>Whether to use map-side aggregation in Hive Group By
+				queries
+			</description>
+		</property>
+
+		<property>
+			<name>hive.groupby.skewindata</name>
+			<value>false</value>
+			<description>Whether there is skew in data to optimize group by
+				queries
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.multigroupby.common.distincts</name>
+			<value>true</value>
+			<description>Whether to optimize a multi-groupby query with the same
+				distinct.
+				Consider a query like:
+
+				from src
+				insert overwrite table dest1
+				select col1, count(distinct colx) group by
+				col1
+				insert overwrite table
+				dest2 select col2, count(distinct colx) group by
+				col2;
+
+				With this
+				parameter set to true, first we spray by the distinct value
+				(colx),
+				and then
+				perform the 2 groups bys. This makes sense if map-side
+				aggregation is
+				turned off. However,
+				with maps-side aggregation, it
+				might be useful in some cases to treat
+				the 2 inserts independently,
+				thereby performing the query above in 2MR jobs instead of 3 (due to
+				spraying by distinct key first).
+				If this parameter is turned off, we
+				dont consider the fact that the
+				distinct key is the same across
+				different MR jobs.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.groupby.mapaggr.checkinterval</name>
+			<value>100000</value>
+			<description>Number of rows after which size of the grouping
+				keys/aggregation classes is performed
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapred.local.mem</name>
+			<value>0</value>
+			<description>For local mode, memory of the mappers/reducers
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapjoin.followby.map.aggr.hash.percentmemory</name>
+			<value>0.3</value>
+			<description>Portion of total memory to be used by map-side grup
+				aggregation hash table, when this group by is followed by map join
+			</description>
+		</property>
+
+		<property>
+			<name>hive.map.aggr.hash.force.flush.memory.threshold</name>
+			<value>0.9</value>
+			<description>The max memory to be used by map-side grup aggregation
+				hash table, if the memory usage is higher than this number, force to
+				flush data
+			</description>
+		</property>
+
+		<property>
+			<name>hive.map.aggr.hash.percentmemory</name>
+			<value>0.5</value>
+			<description>Portion of total memory to be used by map-side grup
+				aggregation hash table
+			</description>
+		</property>
+
+		<property>
+			<name>hive.map.aggr.hash.min.reduction</name>
+			<value>0.5</value>
+			<description>Hash aggregation will be turned off if the ratio between
+				hash
+				table size and input rows is bigger than this number. Set to 1
+				to make
+				sure
+				hash aggregation is never turned off.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.cp</name>
+			<value>true</value>
+			<description>Whether to enable column pruner</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.index.filter</name>
+			<value>false</value>
+			<description>Whether to enable automatic use of indexes</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.index.groupby</name>
+			<value>false</value>
+			<description>Whether to enable optimization of group-by queries using
+				Aggregate indexes.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.ppd</name>
+			<value>true</value>
+			<description>Whether to enable predicate pushdown</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.ppd.storage</name>
+			<value>true</value>
+			<description>Whether to push predicates down into storage handlers.
+				Ignored when hive.optimize.ppd is false.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.ppd.recognizetransivity</name>
+			<value>true</value>
+			<description>Whether to transitively replicate predicate filters over
+				equijoin conditions.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.groupby</name>
+			<value>true</value>
+			<description>Whether to enable the bucketed group by from bucketed
+				partitions/tables.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.skewjoin.compiletime</name>
+			<value>false</value>
+			<description>Whether to create a separate plan for skewed keys for
+				the tables in the join.
+				This is based on the skewed keys stored in
+				the metadata. At compile
+				time, the plan is broken
+				into different
+				joins: one for the skewed keys, and the other for the
+				remaining keys.
+				And then,
+				a union is performed for the 2 joins generated above. So
+				unless the
+				same skewed key is present
+				in both the joined tables, the
+				join for the skewed key will be
+				performed as a map-side join.
+
+				The main
+				difference between this paramater and hive.optimize.skewjoin
+				is that
+				this parameter
+				uses the skew information stored in the metastore to
+				optimize the plan
+				at compile time itself.
+				If there is no skew
+				information in the metadata, this parameter will
+				not have any affect.
+				Both hive.optimize.skewjoin.compiletime and hive.optimize.skewjoin
+				should be set to true.
+				Ideally, hive.optimize.skewjoin should be
+				renamed as
+				hive.optimize.skewjoin.runtime, but not doing
+				so for
+				backward compatibility.
+
+				If the skew information is correctly stored
+				in the metadata,
+				hive.optimize.skewjoin.compiletime
+				would change the
+				query plan to take care of it, and
+				hive.optimize.skewjoin will be a
+				no-op.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.union.remove</name>
+			<value>false</value>
+			<description>
+				Whether to remove the union and push the operators
+				between union and the
+				filesink above
+				union. This avoids an extra scan
+				of the output by union. This is
+				independently useful for union
+				queries, and specially useful when
+				hive.optimize.skewjoin.compiletime is set
+				to true, since an
+				extra
+				union is inserted.
+
+				The merge is triggered if either of
+				hive.merge.mapfiles or
+				hive.merge.mapredfiles is set to true.
+				If the
+				user has set hive.merge.mapfiles to true and
+				hive.merge.mapredfiles
+				to false, the idea was the
+				number of reducers are few, so the number
+				of files anyway are small.
+				However, with this optimization,
+				we are
+				increasing the number of files possibly by a big margin. So, we
+				merge aggresively.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapred.supports.subdirectories</name>
+			<value>false</value>
+			<description>Whether the version of hadoop which is running supports
+				sub-directories for tables/partitions.
+				Many hive optimizations can be
+				applied if the hadoop version supports
+				sub-directories for
+				tables/partitions. It was added by MAPREDUCE-1501
+			</description>
+		</property>
+
+		<property>
+			<name>hive.multigroupby.singlemr</name>
+			<value>true</value>
+			<description>Whether to optimize multi group by query to generate
+				single M/R
+				job plan. If the multi group by query has common group by
+				keys, it will
+				be
+				optimized to generate single M/R job.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.map.groupby.sorted</name>
+			<value>false</value>
+			<description>If the bucketing/sorting properties of the table exactly
+				match the grouping key, whether to
+				perform the group by in the mapper
+				by using BucketizedHiveInputFormat. The
+				only downside to this
+				is that
+				it limits the number of mappers to the number of files.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.map.groupby.sorted.testmode</name>
+			<value>false</value>
+			<description>If the bucketing/sorting properties of the table exactly
+				match the grouping key, whether to
+				perform the group by in the mapper
+				by using BucketizedHiveInputFormat. If
+				the test mode is set, the plan
+				is not converted, but a query property is set to denote the same.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.new.job.grouping.set.cardinality</name>
+			<value>30</value>
+			<description>
+				Whether a new map-reduce job should be launched for
+				grouping
+				sets/rollups/cubes.
+				For a query like: select a, b, c,
+				count(1) from T group by a, b, c with
+				rollup;
+				4 rows are created per
+				row: (a, b, c), (a, b, null), (a, null, null),
+				(null, null, null).
+				This can lead to explosion across map-reduce boundary if the
+				cardinality
+				of T is very high,
+				and map-side aggregation does not do a
+				very good job.
+
+				This parameter decides if hive should add an
+				additional map-reduce job.
+				If the grouping set
+				cardinality (4 in the
+				example above), is more than this value, a new MR job is
+				added under
+				the
+				assumption that the orginal group by will reduce the data size.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.join.emit.interval</name>
+			<value>1000</value>
+			<description>How many rows in the right-most join operand Hive should
+				buffer before emitting the join result.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.join.cache.size</name>
+			<value>25000</value>
+			<description>How many rows in the joining tables (except the
+				streaming table) should be cached in memory.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapjoin.bucket.cache.size</name>
+			<value>100</value>
+			<description>How many values in each keys in the map-joined table
+				should be cached in memory.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapjoin.cache.numrows</name>
+			<value>25000</value>
+			<description>How many rows should be cached by jdbm for map join.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.skewjoin</name>
+			<value>false</value>
+			<description>Whether to enable skew join optimization.
+				The algorithm
+				is as follows: At runtime, detect the keys with a large
+				skew. Instead
+				of
+				processing those keys, store them temporarily in a hdfs directory.
+				In a
+				follow-up map-reduce
+				job, process those skewed keys. The same key
+				need not be skewed for all
+				the tables, and so,
+				the follow-up
+				map-reduce job (for the skewed keys) would be much
+				faster, since it
+				would be a
+				map-join.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.skewjoin.key</name>
+			<value>100000</value>
+			<description>Determine if we get a skew key in join. If we see more
+				than the specified number of rows with the same key in join
+				operator,
+				we think the key as a skew join key.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.skewjoin.mapjoin.map.tasks</name>
+			<value>10000</value>
+			<description> Determine the number of map task used in the follow up
+				map join job
+				for a skew join. It should be used together with
+				hive.skewjoin.mapjoin.min.split
+				to perform a fine grained control.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.skewjoin.mapjoin.min.split</name>
+			<value>33554432</value>
+			<description> Determine the number of map task at most used in the
+				follow up map join job
+				for a skew join by specifying the minimum
+				split size. It should be used
+				together with
+				hive.skewjoin.mapjoin.map.tasks to perform a fine grained control.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapred.mode</name>
+			<value>nonstrict</value>
+			<description>The mode in which the hive operations are being
+				performed.
+				In strict mode, some risky queries are not allowed to run.
+				They
+				include:
+				Cartesian Product.
+				No partition being picked up for a
+				query.
+				Comparing bigints and strings.
+				Comparing bigints and doubles.
+				Orderby without limit.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.enforce.bucketmapjoin</name>
+			<value>false</value>
+			<description>If the user asked for bucketed map-side join, and it
+				cannot be performed,
+				should the query fail or not ? For eg, if the
+				buckets in the tables being
+				joined are
+				not a multiple of each other,
+				bucketed map-side join cannot be
+				performed, and the
+				query will fail if
+				hive.enforce.bucketmapjoin is set to true.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.script.maxerrsize</name>
+			<value>100000</value>
+			<description>Maximum number of bytes a script is allowed to emit to
+				standard error (per map-reduce task). This prevents runaway scripts
+				from filling logs partitions to capacity
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.script.allow.partial.consumption</name>
+			<value>false</value>
+			<description> When enabled, this option allows a user script to exit
+				successfully without consuming all the data from the standard input.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.script.operator.id.env.var</name>
+			<value>HIVE_SCRIPT_OPERATOR_ID</value>
+			<description> Name of the environment variable that holds the unique
+				script operator ID in the user's transform function (the custom
+				mapper/reducer that the user has specified in the query)
+			</description>
+		</property>
+
+		<property>
+			<name>hive.script.operator.truncate.env</name>
+			<value>false</value>
+			<description>Truncate each environment variable for external script
+				in scripts operator to 20KB (to fit system limits)
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.compress.output</name>
+			<value>false</value>
+			<description> This controls whether the final outputs of a query (to
+				a local/hdfs file or a hive table) is compressed. The compression
+				codec and other options are determined from hadoop config variables
+				mapred.output.compress*
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.compress.intermediate</name>
+			<value>false</value>
+			<description> This controls whether intermediate files produced by
+				hive between multiple map-reduce jobs are compressed. The
+				compression codec and other options are determined from hadoop
+				config variables mapred.output.compress*
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.parallel</name>
+			<value>false</value>
+			<description>Whether to execute jobs in parallel</description>
+		</property>
+
+		<property>
+			<name>hive.exec.parallel.thread.number</name>
+			<value>8</value>
+			<description>How many jobs at most can be executed in parallel
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.rowoffset</name>
+			<value>false</value>
+			<description>Whether to provide the row offset virtual column
+			</description>
+		</property>
+
+		<property>
+			<name>hive.task.progress</name>
+			<value>false</value>
+			<description>Whether Hive should periodically update task progress
+				counters during execution. Enabling this allows task progress to be
+				monitored more closely in the job tracker, but may impose a
+				performance penalty. This flag is automatically set to true for jobs
+				with hive.exec.dynamic.partition set to true.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.hwi.war.file</name>
+			<value>lib/hive-hwi-@VERSION@.war</value>
+			<description>This sets the path to the HWI war file, relative to
+				${HIVE_HOME}.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.hwi.listen.host</name>
+			<value>0.0.0.0</value>
+			<description>This is the host address the Hive Web Interface will
+				listen on
+			</description>
+		</property>
+
+		<property>
+			<name>hive.hwi.listen.port</name>
+			<value>9999</value>
+			<description>This is the port the Hive Web Interface will listen on
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.pre.hooks</name>
+			<value></value>
+			<description>Comma-separated list of pre-execution hooks to be
+				invoked for each statement. A pre-execution hook is specified as the
+				name of a Java class which implements the
+				org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.post.hooks</name>
+			<value></value>
+			<description>Comma-separated list of post-execution hooks to be
+				invoked for each statement. A post-execution hook is specified as
+				the name of a Java class which implements the
+				org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.failure.hooks</name>
+			<value></value>
+			<description>Comma-separated list of on-failure hooks to be invoked
+				for each statement. An on-failure hook is specified as the name of
+				Java class which implements the
+				org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.init.hooks</name>
+			<value></value>
+			<description>A comma separated list of hooks to be invoked at the
+				beginning of HMSHandler initialization. Aninit hook is specified as
+				the name of Java class which extends
+				org.apache.hadoop.hive.metastore.MetaStoreInitListener.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.client.stats.publishers</name>
+			<value></value>
+			<description>Comma-separated list of statistics publishers to be
+				invoked on counters on each job. A client stats publisher is
+				specified as the name of a Java class which implements the
+				org.apache.hadoop.hive.ql.stats.ClientStatsPublisher interface.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.client.stats.counters</name>
+			<value></value>
+			<description>Subset of counters that should be of interest for
+				hive.client.stats.publishers (when one wants to limit their
+				publishing). Non-display names should be used
+			</description>
+		</property>
+
+		<property>
+			<name>hive.merge.mapfiles</name>
+			<value>true</value>
+			<description>Merge small files at the end of a map-only job
+			</description>
+		</property>
+
+		<property>
+			<name>hive.merge.mapredfiles</name>
+			<value>false</value>
+			<description>Merge small files at the end of a map-reduce job
+			</description>
+		</property>
+
+		<property>
+			<name>hive.heartbeat.interval</name>
+			<value>1000</value>
+			<description>Send a heartbeat after this interval - used by mapjoin
+				and filter operators
+			</description>
+		</property>
+
+		<property>
+			<name>hive.merge.size.per.task</name>
+			<value>256000000</value>
+			<description>Size of merged files at the end of the job</description>
+		</property>
+
+		<property>
+			<name>hive.merge.smallfiles.avgsize</name>
+			<value>16000000</value>
+			<description>When the average output file size of a job is less than
+				this number, Hive will start an additional map-reduce job to merge
+				the output files into bigger files. This is only done for map-only
+				jobs if hive.merge.mapfiles is true, and for map-reduce jobs if
+				hive.merge.mapredfiles is true.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapjoin.smalltable.filesize</name>
+			<value>25000000</value>
+			<description>The threshold for the input file size of the small
+				tables; if the file size is smaller than this threshold, it will try
+				to convert the common join into map join
+			</description>
+		</property>
+
+		<property>
+			<name>hive.ignore.mapjoin.hint</name>
+			<value>true</value>
+			<description>Ignore the mapjoin hint</description>
+		</property>
+
+		<property>
+			<name>hive.mapjoin.localtask.max.memory.usage</name>
+			<value>0.90</value>
+			<description>This number means how much memory the local task can
+				take to hold the key/value into in-memory hash table; If the local
+				task's memory usage is more than this number, the local task will be
+				abort by themself. It means the data of small table is too large to
+				be hold in the memory.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapjoin.followby.gby.localtask.max.memory.usage</name>
+			<value>0.55</value>
+			<description>This number means how much memory the local task can
+				take to hold the key/value into in-memory hash table when this map
+				join followed by a group by; If the local task's memory usage is
+				more than this number, the local task will be abort by themself. It
+				means the data of small table is too large to be hold in the memory.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapjoin.check.memory.rows</name>
+			<value>100000</value>
+			<description>The number means after how many rows processed it needs
+				to check the memory usage
+			</description>
+		</property>
+
+		<property>
+			<name>hive.auto.convert.join</name>
+			<value>false</value>
+			<description>Whether Hive enable the optimization about converting
+				common join into mapjoin based on the input file size
+			</description>
+		</property>
+
+		<property>
+			<name>hive.auto.convert.join.noconditionaltask</name>
+			<value>true</value>
+			<description>Whether Hive enable the optimization about converting
+				common join into mapjoin based on the input file
+				size. If this
+				paramater is on, and the sum of size for n-1 of the
+				tables/partitions for a n-way join is smaller than the
+				specified
+				size, the join is directly converted to a mapjoin (there is no
+				conditional task).
+			</description>
+		</property>
+
+		<property>
+			<name>hive.auto.convert.join.noconditionaltask.size</name>
+			<value>10000000</value>
+			<description>If hive.auto.convert.join.noconditionaltask is off, this
+				parameter does not take affect. However, if it
+				is on, and the sum of
+				size for n-1 of the tables/partitions for a
+				n-way join is smaller
+				than this size, the join is directly
+				converted to a mapjoin(there is
+				no conditional task). The default is 10MB
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.mapjoin.mapreduce</name>
+			<value>false</value>
+			<description>If hive.auto.convert.join is off, this parameter does
+				not take
+				affect. If it is on, and if there are map-join jobs followed
+				by a
+				map-reduce
+				job (for e.g a group by), each map-only job is merged
+				with the
+				following
+				map-reduce job.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.script.auto.progress</name>
+			<value>false</value>
+			<description>Whether Hive Tranform/Map/Reduce Clause should
+				automatically send progress information to TaskTracker to avoid the
+				task getting killed because of inactivity. Hive sends progress
+				information when the script is outputting to stderr. This option
+				removes the need of periodically producing stderr messages, but
+				users should be cautious because this may prevent infinite loops in
+				the scripts to be killed by TaskTracker.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.script.serde</name>
+			<value>org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe</value>
+			<description>The default serde for trasmitting input data to and
+				reading output data from the user scripts.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.binary.record.max.length</name>
+			<value>1000</value>
+			<description>Read from a binary stream and treat each
+				hive.binary.record.max.length bytes as a record.
+				The last record
+				before the end of stream can have less than
+				hive.binary.record.max.length bytes
+			</description>
+		</property>
+
+
+		<property>
+			<name>hive.script.recordreader</name>
+			<value>org.apache.hadoop.hive.ql.exec.TextRecordReader</value>
+			<description>The default record reader for reading data from the user
+				scripts.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.script.recordwriter</name>
+			<value>org.apache.hadoop.hive.ql.exec.TextRecordWriter</value>
+			<description>The default record writer for writing data to the user
+				scripts.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.input.format</name>
+			<value>org.apache.hadoop.hive.ql.io.CombineHiveInputFormat</value>
+			<description>The default input format. Set this to HiveInputFormat if
+				you encounter problems with CombineHiveInputFormat.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.udtf.auto.progress</name>
+			<value>false</value>
+			<description>Whether Hive should automatically send progress
+				information to TaskTracker when using UDTF's to prevent the task
+				getting killed because of inactivity. Users should be cautious
+				because this may prevent TaskTracker from killing tasks with infinte
+				loops.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.mapred.reduce.tasks.speculative.execution</name>
+			<value>true</value>
+			<description>Whether speculative execution for reducers should be
+				turned on.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.counters.pull.interval</name>
+			<value>1000</value>
+			<description>The interval with which to poll the JobTracker for the
+				counters the running job. The smaller it is the more load there will
+				be on the jobtracker, the higher it is the less granular the caught
+				will be.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.querylog.location</name>
+			<value>/tmp/${user.name}</value>
+			<description>
+				Location of Hive run time structured log file
+			</description>
+		</property>
+
+		<property>
+			<name>hive.querylog.enable.plan.progress</name>
+			<value>true</value>
+			<description>
+				Whether to log the plan's progress every time a job's
+				progress is checked.
+				These logs are written to the location specified
+				by
+				hive.querylog.location
+			</description>
+		</property>
+
+		<property>
+			<name>hive.querylog.plan.progress.interval</name>
+			<value>60000</value>
+			<description>
+				The interval to wait between logging the plan's progress
+				in
+				milliseconds.
+				If there is a whole number percentage change in the
+				progress of the
+				mappers or the reducers,
+				the progress is logged
+				regardless of this value.
+				The actual interval will be the ceiling of
+				(this value divided by the
+				value of
+				hive.exec.counters.pull.interval)
+				multiplied by the value of hive.exec.counters.pull.interval
+				I.e. if
+				it is not divide evenly by the value of
+				hive.exec.counters.pull.interval it will be
+				logged less frequently
+				than specified.
+				This only has an effect if
+				hive.querylog.enable.plan.progress is set to
+				true.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.enforce.bucketing</name>
+			<value>false</value>
+			<description>Whether bucketing is enforced. If true, while inserting
+				into the table, bucketing is enforced.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.enforce.sorting</name>
+			<value>false</value>
+			<description>Whether sorting is enforced. If true, while inserting
+				into the table, sorting is enforced.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.bucketingsorting</name>
+			<value>true</value>
+			<description>If hive.enforce.bucketing or hive.enforce.sorting is
+				true, dont create a reducer for enforcing
+				bucketing/sorting for
+				queries of the form:
+				insert overwrite table T2 select * from T1;
+				where T1 and T2 are bucketed/sorted by the same keys into the same
+				number
+				of buckets.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.enforce.sortmergebucketmapjoin</name>
+			<value>false</value>
+			<description>If the user asked for sort-merge bucketed map-side join,
+				and it cannot be performed,
+				should the query fail or not ?
+			</description>
+		</property>
+
+		<property>
+			<name>hive.auto.convert.sortmerge.join</name>
+			<value>false</value>
+			<description>Will the join be automatically converted to a sort-merge
+				join, if the joined tables pass
+				the criteria for sort-merge join.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.auto.convert.sortmerge.join.bigtable.selection.policy
+			</name>
+			<value>org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ
+			</value>
+			<description>The policy to choose the big table for automatic
+				conversion to sort-merge join.
+				By default, the table with the largest
+				partitions is assigned the big
+				table. All policies are:
+				. based on
+				position of the table - the leftmost table is selected
+				org.apache.hadoop.hive.ql.optimizer.LeftmostBigTableSMJ.
+				. based on
+				total size (all the partitions selected in the query) of
+				the table
+				org.apache.hadoop.hive.ql.optimizer.TableSizeBasedBigTableSelectorForAutoSMJ.
+				. based on average size (all the partitions selected in the query)
+				of the table
+				org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ.
+				New policies can be added in future.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.ds.connection.url.hook</name>
+			<value></value>
+			<description>Name of the hook to use for retriving the JDO connection
+				URL. If empty, the value in javax.jdo.option.ConnectionURL is used
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.ds.retry.attempts</name>
+			<value>1</value>
+			<description>The number of times to retry a metastore call if there
+				were a connection error
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.ds.retry.interval</name>
+			<value>1000</value>
+			<description>The number of miliseconds between metastore retry
+				attempts
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.server.min.threads</name>
+			<value>200</value>
+			<description>Minimum number of worker threads in the Thrift server's
+				pool.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.server.max.threads</name>
+			<value>100000</value>
+			<description>Maximum number of worker threads in the Thrift server's
+				pool.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.server.tcp.keepalive</name>
+			<value>true</value>
+			<description>Whether to enable TCP keepalive for the metastore
+				server. Keepalive will prevent accumulation of half-open
+				connections.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.sasl.enabled</name>
+			<value>false</value>
+			<description>If true, the metastore thrift interface will be secured
+				with SASL. Clients must authenticate with Kerberos.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.thrift.framed.transport.enabled</name>
+			<value>false</value>
+			<description>If true, the metastore thrift interface will use
+				TFramedTransport. When false (default) a standard TTransport is
+				used.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.kerberos.keytab.file</name>
+			<value></value>
+			<description>The path to the Kerberos Keytab file containing the
+				metastore thrift server's service principal.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.kerberos.principal</name>
+			<value>hive-metastore/_HOST@EXAMPLE.COM</value>
+			<description>The service principal for the metastore thrift server.
+				The special string _HOST will be replaced automatically with the
+				correct host name.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.cluster.delegation.token.store.class</name>
+			<value>org.apache.hadoop.hive.thrift.MemoryTokenStore</value>
+			<description>The delegation token store implementation. Set to
+				org.apache.hadoop.hive.thrift.ZooKeeperTokenStore for load-balanced
+				cluster.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.cluster.delegation.token.store.zookeeper.connectString
+			</name>
+			<value>localhost:2181</value>
+			<description>The ZooKeeper token store connect string.</description>
+		</property>
+
+		<property>
+			<name>hive.cluster.delegation.token.store.zookeeper.znode</name>
+			<value>/hive/cluster/delegation</value>
+			<description>The root path for token store data.</description>
+		</property>
+
+		<property>
+			<name>hive.cluster.delegation.token.store.zookeeper.acl</name>
+			<value>sasl:hive/host1@EXAMPLE.COM:cdrwa,sasl:hive/host2@EXAMPLE.COM:cdrwa
+			</value>
+			<description>ACL for token store entries. List comma separated all
+				server principals for the cluster.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.cache.pinobjtypes</name>
+			<value>Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order
+			</value>
+			<description>List of comma separated metastore object types that
+				should be pinned in the cache
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.reducededuplication</name>
+			<value>true</value>
+			<description>Remove extra map-reduce jobs if the data is already
+				clustered by the same key which needs to be used again. This should
+				always be set to true. Since it is a new feature, it has been made
+				configurable.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.reducededuplication.min.reducer</name>
+			<value>4</value>
+			<description>Reduce deduplication merges two RSs by moving
+				key/parts/reducer-num of the child RS to parent RS.
+				That means if
+				reducer-num of the child RS is fixed (order by or forced
+				bucketing)
+				and small, it can make very slow, single MR.
+				The optimization will be
+				disabled if number of reducers is less than
+				specified value.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.dynamic.partition</name>
+			<value>true</value>
+			<description>Whether or not to allow dynamic partitions in DML/DDL.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.dynamic.partition.mode</name>
+			<value>strict</value>
+			<description>In strict mode, the user must specify at least one
+				static partition in case the user accidentally overwrites all
+				partitions.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.max.dynamic.partitions</name>
+			<value>1000</value>
+			<description>Maximum number of dynamic partitions allowed to be
+				created in total.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.max.dynamic.partitions.pernode</name>
+			<value>100</value>
+			<description>Maximum number of dynamic partitions allowed to be
+				created in each mapper/reducer node.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.max.created.files</name>
+			<value>100000</value>
+			<description>Maximum number of HDFS files created by all
+				mappers/reducers in a MapReduce job.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.default.partition.name</name>
+			<value>__HIVE_DEFAULT_PARTITION__</value>
+			<description>The default partition name in case the dynamic partition
+				column value is null/empty string or anyother values that cannot be
+				escaped. This value must not contain any special character used in
+				HDFS URI (e.g., ':', '%', '/' etc). The user has to be aware that
+				the dynamic partition value should not contain this value to avoid
+				confusions.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.dbclass</name>
+			<value>jdbc:derby</value>
+			<description>The default database that stores temporary hive
+				statistics.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.autogather</name>
+			<value>true</value>
+			<description>A flag to gather statistics automatically during the
+				INSERT OVERWRITE command.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.jdbcdriver</name>
+			<value>org.apache.derby.jdbc.EmbeddedDriver</value>
+			<description>The JDBC driver for the database that stores temporary
+				hive statistics.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.dbconnectionstring</name>
+			<value>jdbc:derby:;databaseName=TempStatsStore;create=true</value>
+			<description>The default connection string for the database that
+				stores temporary hive statistics.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.default.publisher</name>
+			<value></value>
+			<description>The Java class (implementing the StatsPublisher
+				interface) that is used by default if hive.stats.dbclass is not JDBC
+				or HBase.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.default.aggregator</name>
+			<value></value>
+			<description>The Java class (implementing the StatsAggregator
+				interface) that is used by default if hive.stats.dbclass is not JDBC
+				or HBase.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.jdbc.timeout</name>
+			<value>30</value>
+			<description>Timeout value (number of seconds) used by JDBC
+				connection and statements.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.retries.max</name>
+			<value>0</value>
+			<description>Maximum number of retries when stats
+				publisher/aggregator got an exception updating intermediate
+				database. Default is no tries on failures.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.retries.wait</name>
+			<value>3000</value>
+			<description>The base waiting window (in milliseconds) before the
+				next retry. The actual wait time is calculated by baseWindow *
+				failues baseWindow * (failure 1) * (random number between
+				[0.0,1.0]).
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.reliable</name>
+			<value>false</value>
+			<description>Whether queries will fail because stats cannot be
+				collected completely accurately.
+				If this is set to true,
+				reading/writing from/into a partition may fail
+				becuase the stats
+				could not be computed accurately.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.collect.tablekeys</name>
+			<value>false</value>
+			<description>Whether join and group by keys on tables are derived and
+				maintained in the QueryPlan.
+				This is useful to identify how tables
+				are accessed and to determine if
+				they should be bucketed.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.collect.scancols</name>
+			<value>false</value>
+			<description>Whether column accesses are tracked in the QueryPlan.
+				This is useful to identify how tables are accessed and to determine
+				if there are wasted columns that can be trimmed.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.ndv.error</name>
+			<value>20.0</value>
+			<description>Standard error expressed in percentage. Provides a
+				tradeoff between accuracy and compute cost.A lower value for error
+				indicates higher accuracy and a higher compute cost.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.stats.key.prefix.max.length</name>
+			<value>200</value>
+			<description>
+				Determines if when the prefix of the key used for
+				intermediate stats
+				collection
+				exceeds a certain length, a hash of the
+				key is used instead. If the value
+				&lt; 0 then hashing
+				is never used,
+				if the value >= 0 then hashing is used only when the
+				key prefixes
+				length
+				exceeds that value. The key prefix is defined as everything
+				preceding the
+				task ID in the key.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.support.concurrency</name>
+			<value>false</value>
+			<description>Whether hive supports concurrency or not. A zookeeper
+				instance must be up and running for the default hive lock manager to
+				support read-write locks.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.lock.numretries</name>
+			<value>100</value>
+			<description>The number of times you want to try to get all the locks
+			</description>
+		</property>
+
+		<property>
+			<name>hive.unlock.numretries</name>
+			<value>10</value>
+			<description>The number of times you want to retry to do one unlock
+			</description>
+		</property>
+
+		<property>
+			<name>hive.lock.sleep.between.retries</name>
+			<value>60</value>
+			<description>The sleep time (in seconds) between various retries
+			</description>
+		</property>
+
+		<property>
+			<name>hive.zookeeper.quorum</name>
+			<value></value>
+			<description>The list of zookeeper servers to talk to. This is only
+				needed for read/write locks.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.zookeeper.client.port</name>
+			<value>2181</value>
+			<description>The port of zookeeper servers to talk to. This is only
+				needed for read/write locks.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.zookeeper.session.timeout</name>
+			<value>600000</value>
+			<description>Zookeeper client's session timeout. The client is
+				disconnected, and as a result, all locks released, if a heartbeat is
+				not sent in the timeout.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.zookeeper.namespace</name>
+			<value>hive_zookeeper_namespace</value>
+			<description>The parent node under which all zookeeper nodes are
+				created.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.zookeeper.clean.extra.nodes</name>
+			<value>false</value>
+			<description>Clean extra nodes at the end of the session.
+			</description>
+		</property>
+
+		<property>
+			<name>fs.har.impl</name>
+			<value>org.apache.hadoop.hive.shims.HiveHarFileSystem</value>
+			<description>The implementation for accessing Hadoop Archives. Note
+				that this won't be applicable to Hadoop vers less than 0.20
+			</description>
+		</property>
+
+		<property>
+			<name>hive.archive.enabled</name>
+			<value>false</value>
+			<description>Whether archiving operations are permitted</description>
+		</property>
+
+		<property>
+			<name>hive.fetch.output.serde</name>
+			<value>org.apache.hadoop.hive.serde2.DelimitedJSONSerDe</value>
+			<description>The serde used by FetchTask to serialize the fetch
+				output.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.mode.local.auto</name>
+			<value>false</value>
+			<description> Let hive determine whether to run in local mode
+				automatically
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.drop.ignorenonexistent</name>
+			<value>true</value>
+			<description>
+				Do not report an error if DROP TABLE/VIEW specifies a
+				non-existent
+				table/view
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.show.job.failure.debug.info</name>
+			<value>true</value>
+			<description>
+				If a job fails, whether to provide a link in the CLI to
+				the task with
+				the
+				most failures, along with debugging hints if
+				applicable.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.auto.progress.timeout</name>
+			<value>0</value>
+			<description>
+				How long to run autoprogressor for the script/UDTF
+				operators (in
+				seconds).
+				Set to 0 for forever.
+			</description>
+		</property>
+
+		<!-- HBase Storage Handler Parameters -->
+
+		<property>
+			<name>hive.hbase.wal.enabled</name>
+			<value>true</value>
+			<description>Whether writes to HBase should be forced to the
+				write-ahead log. Disabling this improves HBase write performance at
+				the risk of lost writes in case of a crash.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.table.parameters.default</name>
+			<value></value>
+			<description>Default property values for newly created tables
+			</description>
+		</property>
+
+		<property>
+			<name>hive.entity.separator</name>
+			<value>@</value>
+			<description>Separator used to construct names of tables and
+				partitions. For example, dbname@tablename@partitionname
+			</description>
+		</property>
+
+		<property>
+			<name>hive.ddl.createtablelike.properties.whitelist</name>
+			<value></value>
+			<description>Table Properties to copy over when executing a Create
+				Table Like.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.variable.substitute</name>
+			<value>true</value>
+			<description>This enables substitution using syntax like ${var}
+				${system:var} and ${env:var}.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.variable.substitute.depth</name>
+			<value>40</value>
+			<description>The maximum replacements the substitution engine will
+				do.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.conf.validation</name>
+			<value>true</value>
+			<description>Eables type checking for registered hive configurations
+			</description>
+		</property>
+
+		<property>
+			<name>hive.security.authorization.enabled</name>
+			<value>false</value>
+			<description>enable or disable the hive client authorization
+			</description>
+		</property>
+
+		<property>
+			<name>hive.security.authorization.createtable.user.grants</name>
+			<value></value>
+			<description>the privileges automatically granted to some users
+				whenever a table gets created.
+				An example like
+				"userX,userY:select;userZ:create" will grant select
+				privilege to
+				userX and userY,
+				and grant create privilege to userZ whenever a new
+				table created.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.security.authorization.createtable.group.grants</name>
+			<value></value>
+			<description>the privileges automatically granted to some groups
+				whenever a table gets created.
+				An example like
+				"groupX,groupY:select;groupZ:create" will grant select
+				privilege to
+				groupX and groupY,
+				and grant create privilege to groupZ whenever a
+				new table created.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.security.authorization.createtable.role.grants</name>
+			<value></value>
+			<description>the privileges automatically granted to some roles
+				whenever a table gets created.
+				An example like
+				"roleX,roleY:select;roleZ:create" will grant select
+				privilege to
+				roleX and roleY,
+				and grant create privilege to roleZ whenever a new
+				table created.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.security.authorization.createtable.owner.grants</name>
+			<value></value>
+			<description>the privileges automatically granted to the owner
+				whenever a table gets created.
+				An example like "select,drop" will
+				grant select and drop privilege to
+				the owner of the table
+			</description>
+		</property>
+
+		<property>
+			<name>hive.metastore.authorization.storage.checks</name>
+			<value>false</value>
+			<description>Should the metastore do authorization checks against the
+				underlying storage
+				for operations like drop-partition (disallow the
+				drop-partition if the
+				user in
+				question doesn't have permissions to
+				delete the corresponding directory
+				on the storage).
+			</description>
+		</property>
+
+		<property>
+			<name>hive.error.on.empty.partition</name>
+			<value>false</value>
+			<description>Whether to throw an excpetion if dynamic partition
+				insert generates empty results.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.index.compact.file.ignore.hdfs</name>
+			<value>false</value>
+			<description>True the hdfs location stored in the index file will be
+				igbored at runtime.
+				If the data got moved or the name of the cluster
+				got changed, the
+				index data should still be usable.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.index.filter.compact.minsize</name>
+			<value>5368709120</value>
+			<description>Minimum size (in bytes) of the inputs on which a compact
+				index is automatically used.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.optimize.index.filter.compact.maxsize</name>
+			<value>-1</value>
+			<description>Maximum size (in bytes) of the inputs on which a compact
+				index is automatically used.
+				A negative number is equivalent to
+				infinity.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.index.compact.query.max.size</name>
+			<value>10737418240</value>
+			<description>The maximum number of bytes that a query using the
+				compact index can read. Negative value is equivalent to infinity.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.index.compact.query.max.entries</name>
+			<value>10000000</value>
+			<description>The maximum number of index entries to read during a
+				query that uses the compact index. Negative value is equivalent to
+				infinity.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.index.compact.binary.search</name>
+			<value>true</value>
+			<description>Whether or not to use a binary search to find the
+				entries in an index table that match the filter, where possible
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exim.uri.scheme.whitelist</name>
+			<value>hdfs,pfile</value>
+			<description>A comma separated list of acceptable URI schemes for
+				import and export.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.lock.mapred.only.operation</name>
+			<value>false</value>
+			<description>This param is to control whether or not only do lock on
+				queries
+				that need to execute at least one mapred job.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.limit.row.max.size</name>
+			<value>100000</value>
+			<description>When trying a smaller subset of data for simple LIMIT,
+				how much size we need to guarantee
+				each row to have at least.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.limit.optimize.limit.file</name>
+			<value>10</value>
+			<description>When trying a smaller subset of data for simple LIMIT,
+				maximum number of files we can
+				sample.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.limit.optimize.enable</name>
+			<value>false</value>
+			<description>Whether to enable to optimization to trying a smaller
+				subset of data for simple LIMIT first.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.limit.optimize.fetch.max</name>
+			<value>50000</value>
+			<description>Maximum number of rows allowed for a smaller subset of
+				data for simple LIMIT, if it is a fetch query.
+				Insert queries are not
+				restricted by this limit.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.rework.mapredwork</name>
+			<value>false</value>
+			<description>should rework the mapred work or not.
+				This is first
+				introduced by SymlinkTextInputFormat to replace symlink
+				files with
+				real paths at compile time.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.concatenate.check.index</name>
+			<value>true</value>
+			<description>If this sets to true, hive will throw error when doing
+				'alter table tbl_name [partSpec] concatenate' on a table/partition
+				that has indexes on it. The reason the user want to set this to true
+				is because it can help user to avoid handling all index drop,
+				recreation,
+				rebuild work. This is very helpful for tables with
+				thousands of partitions.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.sample.seednumber</name>
+			<value>0</value>
+			<description>A number used to percentage sampling. By changing this
+				number, user will change the subsets
+				of data sampled.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.io.exception.handlers</name>
+			<value></value>
+			<description>A list of io exception handler class names. This is used
+				to construct a list exception handlers to handle exceptions thrown
+				by record readers
+			</description>
+		</property>
+
+		<property>
+			<name>hive.autogen.columnalias.prefix.label</name>
+			<value>_c</value>
+			<description>String used as a prefix when auto generating column
+				alias.
+				By default the prefix label will be appended with a column
+				position
+				number to form the column alias. Auto generation would
+				happen if an
+				aggregate function is used in a select clause without an
+				explicit
+				alias.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.autogen.columnalias.prefix.includefuncname</name>
+			<value>false</value>
+			<description>Whether to include function name in the column alias
+				auto generated by hive.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.perf.logger</name>
+			<value>org.apache.hadoop.hive.ql.log.PerfLogger</value>
+			<description>The class responsible logging client side performance
+				metrics. Must be a subclass of
+				org.apache.hadoop.hive.ql.log.PerfLogger
+			</description>
+		</property>
+
+		<property>
+			<name>hive.start.cleanup.scratchdir</name>
+			<value>false</value>
+			<description>To cleanup the hive scratchdir while starting the hive
+				server
+			</description>
+		</property>
+
+		<property>
+			<name>hive.output.file.extension</name>
+			<value></value>
+			<description>String used as a file extension for output files. If not
+				set, defaults to the codec extension for text files (e.g. ".gz"), or
+				no extension otherwise.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.insert.into.multilevel.dirs</name>
+			<value>false</value>
+			<description>Where to insert into multilevel directories like
+				"insert
+				directory '/HIVEFT25686/chinna/' from table"
+			</description>
+		</property>
+
+		<property>
+			<name>hive.warehouse.subdir.inherit.perms</name>
+			<value>false</value>
+			<description>Set this to true if the the table directories should
+				inherit the
+				permission of the warehouse or database directory instead
+				of being created
+				with the permissions derived from dfs umask
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.job.debug.capture.stacktraces</name>
+			<value>true</value>
+			<description>Whether or not stack traces parsed from the task logs of
+				a sampled failed task for
+				each failed job should be stored in the
+				SessionState
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.driver.run.hooks</name>
+			<value></value>
+			<description>A comma separated list of hooks which implement
+				HiveDriverRunHook and will be run at the
+				beginning and end of
+				Driver.run, these will be run in the order specified
+			</description>
+		</property>
+
+		<property>
+			<name>hive.ddl.output.format</name>
+			<value>text</value>
+			<description>
+				The data format to use for DDL output. One of "text"
+				(for human
+				readable text) or "json" (for a json object).
+			</description>
+		</property>
+
+		<property>
+			<name>hive.transform.escape.input</name>
+			<value>false</value>
+			<description>
+				This adds an option to escape special chars (newlines,
+				carriage returns
+				and
+				tabs) when they are passed to the user script.
+				This is useful if the hive
+				tables
+				can contain data that contains
+				special characters.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.rcfile.use.explicit.header</name>
+			<value>true</value>
+			<description>
+				If this is set the header for RC Files will simply be
+				RCF. If this is
+				not
+				set the header will be that borrowed from sequence
+				files, e.g. SEQ-
+				followed
+				by the input and output RC File formats.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.multi.insert.move.tasks.share.dependencies</name>
+			<value>false</value>
+			<description>
+				If this is set all move tasks for tables/partitions (not
+				directories)
+				at the end of a
+				multi-insert query will only begin once
+				the dependencies for all these move
+				tasks have been
+				met.
+				Advantages: If
+				concurrency is enabled, the locks will only be released once the
+				query has
+				finished, so with this config enabled, the time when the
+				table/partition is
+				generated will be much closer to when the lock on
+				it is released.
+				Disadvantages: If concurrency is not enabled, with
+				this disabled,
+				the tables/partitions which
+				are produced by this query
+				and finish earlier will be available for
+				querying
+				much earlier. Since
+				the locks are only released once the query finishes,
+				this
+				does not
+				apply if concurrency is enabled.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.fetch.task.conversion</name>
+			<value>minimal</value>
+			<description>
+				Some select queries can be converted to single FETCH
+				task minimizing
+				latency.
+				Currently the query should be single sourced
+				not having any subquery and
+				should not have
+				any aggregations or
+				distincts (which incurrs RS), lateral views and
+				joins.
+				1. minimal :
+				SELECT STAR, FILTER on partition columns, LIMIT only
+				2. more :
+				SELECT, FILTER, LIMIT only (TABLESAMPLE, virtual columns)
+			</description>
+		</property>
+
+		<property>
+			<name>hive.hmshandler.retry.attempts</name>
+			<value>1</value>
+			<description>The number of times to retry a HMSHandler call if there
+				were a connection error
+			</description>
+		</property>
+
+		<property>
+			<name>hive.hmshandler.retry.interval</name>
+			<value>1000</value>
+			<description>The number of miliseconds between HMSHandler retry
+				attempts
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server.read.socket.timeout</name>
+			<value>10</value>
+			<description>Timeout for the HiveServer to close the connection if no
+				response from the client in N seconds, defaults to 10 seconds.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server.tcp.keepalive</name>
+			<value>true</value>
+			<description>Whether to enable TCP keepalive for the Hive server.
+				Keepalive will prevent accumulation of half-open connections.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.decode.partition.name</name>
+			<value>false</value>
+			<description>Whether to show the unquoted partition names in query
+				results.
+			</description>
+		</property>
+
+		<property>
+			<name>hive.log4j.file</name>
+			<value></value>
+			<description>Hive log4j configuration file.
+				If the property is not
+				set, then logging will be initialized using
+				hive-log4j.properties
+				found on the classpath.
+				If the property is set, the value must be a
+				valid URI (java.net.URI,
+				e.g. "file:///tmp/my-logging.properties"),
+				which you can then
+				extract a URL from and pass to
+				PropertyConfigurator.configure(URL).
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.log4j.file</name>
+			<value></value>
+			<description>Hive log4j configuration file for execution mode(sub
+				command).
+				If the property is not set, then logging will be
+				initialized using
+				hive-exec-log4j.properties found on the classpath.
+				If the property is set, the value must be a valid URI (java.net.URI,
+				e.g. "file:///tmp/my-logging.properties"), which you can then
+				extract a URL from and pass to PropertyConfigurator.configure(URL).
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.infer.bucket.sort</name>
+			<value>false</value>
+			<description>
+				If this is set, when writing partitions, the metadata
+				will include the
+				bucketing/sorting
+				properties with which the data was
+				written if any (this will not overwrite the
+				metadata
+				inherited from
+				the table if the table is bucketed/sorted)
+			</description>
+		</property>
+
+		<property>
+			<name>hive.exec.infer.bucket.sort.num.buckets.power.two</name>
+			<value>false</value>
+			<description>
+				If this is set, when setting the number of reducers for
+				the map reduce
+				task which writes the
+				final output files, it will
+				choose a number which is a power of two,
+				unless the user specifies
+				the number of reducers to use using mapred.reduce.tasks. The number
+				of
+				reducers
+				may be set to a power of two, only to be followed by a
+				merge task
+				meaning preventing
+				anything from being inferred.
+				With
+				hive.exec.infer.bucket.sort set to true:
+				Advantages: If this is not
+				set, the number of buckets for partitions will seem
+				arbitrary,
+				which
+				means that the number of mappers used for optimized joins, for
+				example, will
+				be very low. With this set, since the number of buckets
+				used for any
+				partition is
+				a power of two, the number of mappers used
+				for optimized joins will
+				be the least
+				number of buckets used by any
+				partition being joined.
+				Disadvantages: This may mean a much larger or
+				much smaller number of reducers
+				being used in the
+				final map reduce
+				job, e.g. if a job was originally going to take 257
+				reducers,
+				it will
+				now take 512 reducers, similarly if the max number of reducers
+				is
+				511,
+				and a job was going to use this many, it will now use 256
+				reducers.
+
+			</description>
+		</property>
+
+		<property>
+			<name>hive.groupby.orderby.position.alias</name>
+			<value>false</value>
+			<description>Whether to enable using Column Position Alias in Group
+				By or Order By
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server2.thrift.min.worker.threads</name>
+			<value>5</value>
+			<description>Minimum number of Thrift worker threads</description>
+		</property>
+
+		<property>
+			<name>hive.server2.thrift.max.worker.threads</name>
+			<value>100</value>
+			<description>Maximum number of Thrift worker threads</description>
+		</property>
+
+		<property>
+			<name>hive.server2.thrift.port</name>
+			<value>10000</value>
+			<description>Port number of HiveServer2 Thrift interface.
+				Can be
+				overridden by setting $HIVE_SERVER2_THRIFT_PORT
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server2.thrift.bind.host</name>
+			<value>localhost</value>
+			<description>Bind host on which to run the HiveServer2 Thrift
+				interface.
+				Can be overridden by setting
+				$HIVE_SERVER2_THRIFT_BIND_HOST
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server2.authentication</name>
+			<value>NONE</value>
+			<description>
+				Client authentication types.
+				NONE: no authentication
+				check
+				LDAP: LDAP/AD based authentication
+				KERBEROS: Kerberos/GSSAPI
+				authentication
+				CUSTOM: Custom authentication provider
+				(Use with
+				property hive.server2.custom.authentication.class)
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server2.custom.authentication.class</name>
+			<value></value>
+			<description>
+				Custom authentication class. Used when property
+				'hive.server2.authentication' is set to 'CUSTOM'. Provided class
+				must be a proper implementation of the interface
+				org.apache.hive.service.auth.PasswdAuthenticationProvider.
+				HiveServer2
+				will call its Authenticate(user, passed) method to
+				authenticate
+				requests.
+				The implementation may optionally extend the
+				Hadoop's
+				org.apache.hadoop.conf.Configured class to grab Hive's
+				Configuration
+				object.
+			</description>
+		</property>
+
+		<property>
+			<name>>hive.server2.authentication.kerberos.principal</name>
+			<value></value>
+			<description>
+				Kerberos server principal
+			</description>
+		</property>
+
+		<property>
+			<name>>hive.server2.authentication.kerberos.keytab</name>
+			<value></value>
+			<description>
+				Kerberos keytab file for server principal
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server2.authentication.ldap.url</name>
+			<value></value>
+			<description>
+				LDAP connection URL
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server2.authentication.ldap.baseDN</name>
+			<value></value>
+			<description>
+				LDAP base DN
+			</description>
+		</property>
+
+		<property>
+			<name>hive.server2.enable.doAs</name>
+			<value>true</value>
+			<description>
+				Setting this property to true will have hive server2
+				execute
+				hive operations as the user making the calls to it.
+			</description>
+		</property>
+
+
+	</configuration>
+
+	<!-- Hive Execution Parameters -->
+	<property>
+		<name>mapred.reduce.tasks</name>
+		<value>-1</value>
+		<description>The default number of reduce tasks per job. Typically set
+			to a prime close to the number of available hosts. Ignored when
+			mapred.job.tracker is "local". Hadoop set this to 1 by default,
+			whereas hive uses -1 as its default value.
+			By setting this property to
+			-1, Hive will automatically figure out what
+			should be the number of
+			reducers.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.reducers.bytes.per.reducer</name>
+		<value>1000000000</value>
+		<description>size per reducer.The default is 1G, i.e if the input size
+			is 10G, it will use 10 reducers.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.reducers.max</name>
+		<value>999</value>
+		<description>max number of reducers will be used. If the one
+			specified
+			in the configuration parameter mapred.reduce.tasks is
+			negative, hive
+			will use this one as the max number of reducers when
+			automatically
+			determine number of reducers.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.cli.print.header</name>
+		<value>false</value>
+		<description>Whether to print the names of the columns in query
+			output.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.cli.print.current.db</name>
+		<value>false</value>
+		<description>Whether to include the current database in the hive
+			prompt.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.cli.prompt</name>
+		<value>hive</value>
+		<description>Command line prompt configuration value. Other hiveconf
+			can be used in
+			this configuration value. Variable substitution will
+			only be invoked at
+			the hive
+			cli startup.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.cli.pretty.output.num.cols</name>
+		<value>-1</value>
+		<description>The number of columns to use when formatting output
+			generated
+			by the DESCRIBE PRETTY table_name command. If the value of
+			this
+			property
+			is -1, then hive will use the auto-detected terminal
+			width.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.scratchdir</name>
+		<value>/tmp/hive-${user.name}</value>
+		<description>Scratch space for Hive jobs</description>
+	</property>
+
+	<property>
+		<name>hive.exec.local.scratchdir</name>
+		<value>/tmp/${user.name}</value>
+		<description>Local scratch space for Hive jobs</description>
+	</property>
+
+	<property>
+		<name>hive.test.mode</name>
+		<value>false</value>
+		<description>whether hive is running in test mode. If yes, it turns on
+			sampling and prefixes the output tablename
+		</description>
+	</property>
+
+	<property>
+		<name>hive.test.mode.prefix</name>
+		<value>test_</value>
+		<description>if hive is running in test mode, prefixes the output
+			table by this string
+		</description>
+	</property>
+
+	<!-- If the input table is not bucketed, the denominator of the tablesample 
+		is determinied by the parameter below -->
+	<!-- For example, the following query: -->
+	<!-- INSERT OVERWRITE TABLE dest -->
+	<!-- SELECT col1 from src -->
+	<!-- would be converted to -->
+	<!-- INSERT OVERWRITE TABLE test_dest -->
+	<!-- SELECT col1 from src TABLESAMPLE (BUCKET 1 out of 32 on rand(1)) -->
+	<property>
+		<name>hive.test.mode.samplefreq</name>
+		<value>32</value>
+		<description>if hive is running in test mode and table is not
+			bucketed, sampling frequency
+		</description>
+	</property>
+
+	<property>
+		<name>hive.test.mode.nosamplelist</name>
+		<value></value>
+		<description>if hive is running in test mode, dont sample the above
+			comma seperated list of tables
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.uris</name>
+		<value></value>
+		<description>Thrift uri for the remote metastore. Used by metastore
+			client to connect to remote metastore.
+		</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.ConnectionURL</name>
+		<value>jdbc:derby:;databaseName=metastore_db;create=true</value>
+		<description>JDBC connect string for a JDBC metastore</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.ConnectionDriverName</name>
+		<value>org.apache.derby.jdbc.EmbeddedDriver</value>
+		<description>Driver class name for a JDBC metastore</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.PersistenceManagerFactoryClass</name>
+		<value>org.datanucleus.jdo.JDOPersistenceManagerFactory</value>
+		<description>class implementing the jdo persistence</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.DetachAllOnCommit</name>
+		<value>true</value>
+		<description>detaches all objects from session so that they can be
+			used after transaction is committed
+		</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.NonTransactionalRead</name>
+		<value>true</value>
+		<description>reads outside of transactions</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.ConnectionUserName</name>
+		<value>APP</value>
+		<description>username to use against metastore database</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.ConnectionPassword</name>
+		<value>mine</value>
+		<description>password to use against metastore database</description>
+	</property>
+
+	<property>
+		<name>javax.jdo.option.Multithreaded</name>
+		<value>true</value>
+		<description>Set this to true if multiple threads access metastore
+			through JDO concurrently.
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.connectionPoolingType</name>
+		<value>DBCP</value>
+		<description>Uses a DBCP connection pool for JDBC metastore
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.validateTables</name>
+		<value>false</value>
+		<description>validates existing schema against code. turn this on if
+			you want to verify existing schema
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.validateColumns</name>
+		<value>false</value>
+		<description>validates existing schema against code. turn this on if
+			you want to verify existing schema
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.validateConstraints</name>
+		<value>false</value>
+		<description>validates existing schema against code. turn this on if
+			you want to verify existing schema
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.storeManagerType</name>
+		<value>rdbms</value>
+		<description>metadata store type</description>
+	</property>
+
+	<property>
+		<name>datanucleus.autoCreateSchema</name>
+		<value>true</value>
+		<description>creates necessary schema on a startup if one doesn't
+			exist. set this to false, after creating it once
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.autoStartMechanismMode</name>
+		<value>checked</value>
+		<description>throw exception if metadata tables are incorrect
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.transactionIsolation</name>
+		<value>read-committed</value>
+		<description>Default transaction isolation level for identity
+			generation.
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.cache.level2</name>
+		<value>false</value>
+		<description>Use a level 2 cache. Turn this off if metadata is changed
+			independently of hive metastore server
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.cache.level2.type</name>
+		<value>SOFT</value>
+		<description>SOFT=soft reference based cache, WEAK=weak reference
+			based cache.
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.identifierFactory</name>
+		<value>datanucleus</value>
+		<description>Name of the identifier factory to use when generating
+			table/column names etc. 'datanucleus' is used for backward
+			compatibility
+		</description>
+	</property>
+
+	<property>
+		<name>datanucleus.plugin.pluginRegistryBundleCheck</name>
+		<value>LOG</value>
+		<description>Defines what happens when plugin bundles are found and
+			are duplicated [EXCEPTION|LOG|NONE]
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.warehouse.dir</name>
+		<value>/user/hive/warehouse</value>
+		<description>location of default database for the warehouse
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.execute.setugi</name>
+		<value>false</value>
+		<description>In unsecure mode, setting this property to true will
+			cause the metastore to execute DFS operations using the client's
+			reported user and group permissions. Note that this property must be
+			set on both the client and server sides. Further note that its best
+			effort. If client sets its to true and server sets it to false,
+			client setting will be ignored.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.event.listeners</name>
+		<value></value>
+		<description>list of comma seperated listeners for metastore events.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.partition.inherit.table.properties</name>
+		<value></value>
+		<description>list of comma seperated keys occurring in table
+			properties which will get inherited to newly created partitions. *
+			implies all the keys will get inherited.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metadata.export.location</name>
+		<value></value>
+		<description>When used in conjunction with the
+			org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event
+			listener, it is the location to which the metadata will be exported.
+			The default is an empty string, which results in the metadata being
+			exported to the current user's home directory on HDFS.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metadata.move.exported.metadata.to.trash</name>
+		<value></value>
+		<description>When used in conjunction with the
+			org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event
+			listener, this setting determines if the metadata that is exported
+			will subsequently be moved to the user's trash directory alongside
+			the dropped table data. This ensures that the metadata will be
+			cleaned up along with the dropped table data.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.partition.name.whitelist.pattern</name>
+		<value></value>
+		<description>Partition names will be checked against this regex
+			pattern and rejected if not matched.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.end.function.listeners</name>
+		<value></value>
+		<description>list of comma separated listeners for the end of
+			metastore functions.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.event.expiry.duration</name>
+		<value>0</value>
+		<description>Duration after which events expire from events table (in
+			seconds)
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.event.clean.freq</name>
+		<value>0</value>
+		<description>Frequency at which timer task runs to purge expired
+			events in metastore(in seconds).
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.connect.retries</name>
+		<value>5</value>
+		<description>Number of retries while opening a connection to metastore
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.failure.retries</name>
+		<value>3</value>
+		<description>Number of retries upon failure of Thrift metastore calls
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.client.connect.retry.delay</name>
+		<value>1</value>
+		<description>Number of seconds for the client to wait between
+			consecutive connection attempts
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.client.socket.timeout</name>
+		<value>20</value>
+		<description>MetaStore Client socket timeout in seconds</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.rawstore.impl</name>
+		<value>org.apache.hadoop.hive.metastore.ObjectStore</value>
+		<description>Name of the class that implements
+			org.apache.hadoop.hive.metastore.rawstore interface. This class is
+			used to store and retrieval of raw metadata objects such as table,
+			database
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.batch.retrieve.max</name>
+		<value>300</value>
+		<description>Maximum number of objects (tables/partitions) can be
+			retrieved from metastore in one batch. The higher the number, the
+			less the number of round trips is needed to the Hive metastore
+			server, but it may also cause higher memory requirement at the client
+			side.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.batch.retrieve.table.partition.max</name>
+		<value>1000</value>
+		<description>Maximum number of table partitions that metastore
+			internally retrieves in one batch.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.default.fileformat</name>
+		<value>TextFile</value>
+		<description>Default file format for CREATE TABLE statement. Options
+			are TextFile and SequenceFile. Users can explicitly say CREATE TABLE
+			... STORED AS &lt;TEXTFILE|SEQUENCEFILE&gt; to override</description>
+	</property>
+
+	<property>
+		<name>hive.fileformat.check</name>
+		<value>true</value>
+		<description>Whether to check file format or not when loading data
+			files
+		</description>
+	</property>
+
+	<property>
+		<name>hive.map.aggr</name>
+		<value>true</value>
+		<description>Whether to use map-side aggregation in Hive Group By
+			queries
+		</description>
+	</property>
+
+	<property>
+		<name>hive.groupby.skewindata</name>
+		<value>false</value>
+		<description>Whether there is skew in data to optimize group by
+			queries
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.multigroupby.common.distincts</name>
+		<value>true</value>
+		<description>Whether to optimize a multi-groupby query with the same
+			distinct.
+			Consider a query like:
+
+			from src
+			insert overwrite table dest1
+			select col1, count(distinct colx) group by
+			col1
+			insert overwrite table
+			dest2 select col2, count(distinct colx) group by
+			col2;
+
+			With this
+			parameter set to true, first we spray by the distinct value
+			(colx),
+			and then
+			perform the 2 groups bys. This makes sense if map-side
+			aggregation is turned
+			off. However,
+			with maps-side aggregation, it
+			might be useful in some cases to treat the
+			2 inserts independently,
+			thereby performing the query above in 2MR jobs instead of 3 (due to
+			spraying
+			by distinct key first).
+			If this parameter is turned off, we
+			dont consider the fact that the
+			distinct key is the same across
+			different MR jobs.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.groupby.mapaggr.checkinterval</name>
+		<value>100000</value>
+		<description>Number of rows after which size of the grouping
+			keys/aggregation classes is performed
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapred.local.mem</name>
+		<value>0</value>
+		<description>For local mode, memory of the mappers/reducers
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.followby.map.aggr.hash.percentmemory</name>
+		<value>0.3</value>
+		<description>Portion of total memory to be used by map-side grup
+			aggregation hash table, when this group by is followed by map join
+		</description>
+	</property>
+
+	<property>
+		<name>hive.map.aggr.hash.force.flush.memory.threshold</name>
+		<value>0.9</value>
+		<description>The max memory to be used by map-side grup aggregation
+			hash table, if the memory usage is higher than this number, force to
+			flush data
+		</description>
+	</property>
+
+	<property>
+		<name>hive.map.aggr.hash.percentmemory</name>
+		<value>0.5</value>
+		<description>Portion of total memory to be used by map-side grup
+			aggregation hash table
+		</description>
+	</property>
+
+	<property>
+		<name>hive.map.aggr.hash.min.reduction</name>
+		<value>0.5</value>
+		<description>Hash aggregation will be turned off if the ratio between
+			hash
+			table size and input rows is bigger than this number. Set to 1 to
+			make
+			sure
+			hash aggregation is never turned off.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.cp</name>
+		<value>true</value>
+		<description>Whether to enable column pruner</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.index.filter</name>
+		<value>false</value>
+		<description>Whether to enable automatic use of indexes</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.index.groupby</name>
+		<value>false</value>
+		<description>Whether to enable optimization of group-by queries using
+			Aggregate indexes.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.ppd</name>
+		<value>true</value>
+		<description>Whether to enable predicate pushdown</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.ppd.storage</name>
+		<value>true</value>
+		<description>Whether to push predicates down into storage handlers.
+			Ignored when hive.optimize.ppd is false.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.ppd.recognizetransivity</name>
+		<value>true</value>
+		<description>Whether to transitively replicate predicate filters over
+			equijoin conditions.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.groupby</name>
+		<value>true</value>
+		<description>Whether to enable the bucketed group by from bucketed
+			partitions/tables.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.skewjoin.compiletime</name>
+		<value>false</value>
+		<description>Whether to create a separate plan for skewed keys for the
+			tables in the join.
+			This is based on the skewed keys stored in the
+			metadata. At compile time,
+			the plan is broken
+			into different joins: one
+			for the skewed keys, and the other for the
+			remaining keys. And then,
+			a
+			union is performed for the 2 joins generated above. So unless the
+			same skewed key is present
+			in both the joined tables, the join for the
+			skewed key will be
+			performed as a map-side join.
+
+			The main difference
+			between this paramater and hive.optimize.skewjoin is
+			that this
+			parameter
+			uses the skew information stored in the metastore to
+			optimize the plan at
+			compile time itself.
+			If there is no skew
+			information in the metadata, this parameter will
+			not have any affect.
+			Both hive.optimize.skewjoin.compiletime and hive.optimize.skewjoin
+			should
+			be set to true.
+			Ideally, hive.optimize.skewjoin should be
+			renamed as
+			hive.optimize.skewjoin.runtime, but not doing
+			so for
+			backward compatibility.
+
+			If the skew information is correctly stored in
+			the metadata,
+			hive.optimize.skewjoin.compiletime
+			would change the query
+			plan to take care of it, and hive.optimize.skewjoin
+			will be a no-op.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.union.remove</name>
+		<value>false</value>
+		<description>
+			Whether to remove the union and push the operators
+			between union and the
+			filesink above
+			union. This avoids an extra scan
+			of the output by union. This is
+			independently useful for union
+			queries, and specially useful when hive.optimize.skewjoin.compiletime
+			is set
+			to true, since an
+			extra union is inserted.
+
+			The merge is triggered
+			if either of hive.merge.mapfiles or
+			hive.merge.mapredfiles is set to
+			true.
+			If the user has set hive.merge.mapfiles to true and
+			hive.merge.mapredfiles to false, the idea was the
+			number of reducers
+			are few, so the number of files anyway are small.
+			However, with this
+			optimization,
+			we are increasing the number of files possibly by a big
+			margin. So, we
+			merge aggresively.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapred.supports.subdirectories</name>
+		<value>false</value>
+		<description>Whether the version of hadoop which is running supports
+			sub-directories for tables/partitions.
+			Many hive optimizations can be
+			applied if the hadoop version supports
+			sub-directories for
+			tables/partitions. It was added by MAPREDUCE-1501
+		</description>
+	</property>
+
+	<property>
+		<name>hive.multigroupby.singlemr</name>
+		<value>false</value>
+		<description>Whether to optimize multi group by query to generate
+			single M/R
+			job plan. If the multi group by query has common group by
+			keys, it will
+			be
+			optimized to generate single M/R job.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.map.groupby.sorted</name>
+		<value>false</value>
+		<description>If the bucketing/sorting properties of the table exactly
+			match the grouping key, whether to
+			perform the group by in the mapper
+			by using BucketizedHiveInputFormat. The
+			only downside to this
+			is that
+			it limits the number of mappers to the number of files.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.map.groupby.sorted.testmode</name>
+		<value>false</value>
+		<description>If the bucketing/sorting properties of the table exactly
+			match the grouping key, whether to
+			perform the group by in the mapper
+			by using BucketizedHiveInputFormat. If
+			the test mode is set, the plan
+			is not converted, but a query property is set to denote the same.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.new.job.grouping.set.cardinality</name>
+		<value>30</value>
+		<description>
+			Whether a new map-reduce job should be launched for
+			grouping
+			sets/rollups/cubes.
+			For a query like: select a, b, c, count(1)
+			from T group by a, b, c with
+			rollup;
+			4 rows are created per row: (a, b,
+			c), (a, b, null), (a, null, null),
+			(null, null, null).
+			This can lead to
+			explosion across map-reduce boundary if the cardinality
+			of T is very
+			high,
+			and map-side aggregation does not do a very good job.
+
+			This
+			parameter decides if hive should add an additional map-reduce job.
+			If
+			the grouping set
+			cardinality (4 in the example above), is more than
+			this value, a new MR job is
+			added under the
+			assumption that the orginal
+			group by will reduce the data size.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.join.emit.interval</name>
+		<value>1000</value>
+		<description>How many rows in the right-most join operand Hive should
+			buffer before emitting the join result.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.join.cache.size</name>
+		<value>25000</value>
+		<description>How many rows in the joining tables (except the streaming
+			table) should be cached in memory.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.bucket.cache.size</name>
+		<value>100</value>
+		<description>How many values in each keys in the map-joined table
+			should be cached in memory.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.cache.numrows</name>
+		<value>25000</value>
+		<description>How many rows should be cached by jdbm for map join.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.skewjoin</name>
+		<value>false</value>
+		<description>Whether to enable skew join optimization.
+			The algorithm is
+			as follows: At runtime, detect the keys with a large
+			skew. Instead of
+			processing those keys, store them temporarily in a hdfs directory. In
+			a
+			follow-up map-reduce
+			job, process those skewed keys. The same key
+			need not be skewed for all
+			the tables, and so,
+			the follow-up map-reduce
+			job (for the skewed keys) would be much faster,
+			since it would be a
+			map-join.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.skewjoin.key</name>
+		<value>100000</value>
+		<description>Determine if we get a skew key in join. If we see more
+			than the specified number of rows with the same key in join operator,
+			we think the key as a skew join key.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.skewjoin.mapjoin.map.tasks</name>
+		<value>10000</value>
+		<description> Determine the number of map task used in the follow up
+			map join job
+			for a skew join. It should be used together with
+			hive.skewjoin.mapjoin.min.split
+			to perform a fine grained control.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.skewjoin.mapjoin.min.split</name>
+		<value>33554432</value>
+		<description> Determine the number of map task at most used in the
+			follow up map join job
+			for a skew join by specifying the minimum split
+			size. It should be used
+			together with
+			hive.skewjoin.mapjoin.map.tasks
+			to perform a fine grained control.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapred.mode</name>
+		<value>nonstrict</value>
+		<description>The mode in which the hive operations are being
+			performed.
+			In strict mode, some risky queries are not allowed to run.
+			They
+			include:
+			Cartesian Product.
+			No partition being picked up for a
+			query.
+			Comparing bigints and strings.
+			Comparing bigints and doubles.
+			Orderby without limit.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.enforce.bucketmapjoin</name>
+		<value>false</value>
+		<description>If the user asked for bucketed map-side join, and it
+			cannot be performed,
+			should the query fail or not ? For eg, if the
+			buckets in the tables being
+			joined are
+			not a multiple of each other,
+			bucketed map-side join cannot be
+			performed, and the
+			query will fail if
+			hive.enforce.bucketmapjoin is set to true.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.script.maxerrsize</name>
+		<value>100000</value>
+		<description>Maximum number of bytes a script is allowed to emit to
+			standard error (per map-reduce task). This prevents runaway scripts
+			from filling logs partitions to capacity
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.script.allow.partial.consumption</name>
+		<value>false</value>
+		<description> When enabled, this option allows a user script to exit
+			successfully without consuming all the data from the standard input.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.script.operator.id.env.var</name>
+		<value>HIVE_SCRIPT_OPERATOR_ID</value>
+		<description> Name of the environment variable that holds the unique
+			script operator ID in the user's transform function (the custom
+			mapper/reducer that the user has specified in the query)
+		</description>
+	</property>
+
+	<property>
+		<name>hive.script.operator.truncate.env</name>
+		<value>false</value>
+		<description>Truncate each environment variable for external script in
+			scripts operator to 20KB (to fit system limits)
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.compress.output</name>
+		<value>false</value>
+		<description> This controls whether the final outputs of a query (to a
+			local/hdfs file or a hive table) is compressed. The compression codec
+			and other options are determined from hadoop config variables
+			mapred.output.compress*
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.compress.intermediate</name>
+		<value>false</value>
+		<description> This controls whether intermediate files produced by
+			hive between multiple map-reduce jobs are compressed. The compression
+			codec and other options are determined from hadoop config variables
+			mapred.output.compress*
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.parallel</name>
+		<value>false</value>
+		<description>Whether to execute jobs in parallel</description>
+	</property>
+
+	<property>
+		<name>hive.exec.parallel.thread.number</name>
+		<value>8</value>
+		<description>How many jobs at most can be executed in parallel
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.rowoffset</name>
+		<value>false</value>
+		<description>Whether to provide the row offset virtual column
+		</description>
+	</property>
+
+	<property>
+		<name>hive.task.progress</name>
+		<value>false</value>
+		<description>Whether Hive should periodically update task progress
+			counters during execution. Enabling this allows task progress to be
+			monitored more closely in the job tracker, but may impose a
+			performance penalty. This flag is automatically set to true for jobs
+			with hive.exec.dynamic.partition set to true.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.hwi.war.file</name>
+		<value>lib/hive-hwi-@VERSION@.war</value>
+		<description>This sets the path to the HWI war file, relative to
+			${HIVE_HOME}.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.hwi.listen.host</name>
+		<value>0.0.0.0</value>
+		<description>This is the host address the Hive Web Interface will
+			listen on
+		</description>
+	</property>
+
+	<property>
+		<name>hive.hwi.listen.port</name>
+		<value>9999</value>
+		<description>This is the port the Hive Web Interface will listen on
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.pre.hooks</name>
+		<value></value>
+		<description>Comma-separated list of pre-execution hooks to be invoked
+			for each statement. A pre-execution hook is specified as the name of
+			a Java class which implements the
+			org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.post.hooks</name>
+		<value></value>
+		<description>Comma-separated list of post-execution hooks to be
+			invoked for each statement. A post-execution hook is specified as the
+			name of a Java class which implements the
+			org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.failure.hooks</name>
+		<value></value>
+		<description>Comma-separated list of on-failure hooks to be invoked
+			for each statement. An on-failure hook is specified as the name of
+			Java class which implements the
+			org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.init.hooks</name>
+		<value></value>
+		<description>A comma separated list of hooks to be invoked at the
+			beginning of HMSHandler initialization. Aninit hook is specified as
+			the name of Java class which extends
+			org.apache.hadoop.hive.metastore.MetaStoreInitListener.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.client.stats.publishers</name>
+		<value></value>
+		<description>Comma-separated list of statistics publishers to be
+			invoked on counters on each job. A client stats publisher is
+			specified as the name of a Java class which implements the
+			org.apache.hadoop.hive.ql.stats.ClientStatsPublisher interface.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.client.stats.counters</name>
+		<value></value>
+		<description>Subset of counters that should be of interest for
+			hive.client.stats.publishers (when one wants to limit their
+			publishing). Non-display names should be used
+		</description>
+	</property>
+
+	<property>
+		<name>hive.merge.mapfiles</name>
+		<value>true</value>
+		<description>Merge small files at the end of a map-only job
+		</description>
+	</property>
+
+	<property>
+		<name>hive.merge.mapredfiles</name>
+		<value>false</value>
+		<description>Merge small files at the end of a map-reduce job
+		</description>
+	</property>
+
+	<property>
+		<name>hive.heartbeat.interval</name>
+		<value>1000</value>
+		<description>Send a heartbeat after this interval - used by mapjoin
+			and filter operators
+		</description>
+	</property>
+
+	<property>
+		<name>hive.merge.size.per.task</name>
+		<value>256000000</value>
+		<description>Size of merged files at the end of the job</description>
+	</property>
+
+	<property>
+		<name>hive.merge.smallfiles.avgsize</name>
+		<value>16000000</value>
+		<description>When the average output file size of a job is less than
+			this number, Hive will start an additional map-reduce job to merge
+			the output files into bigger files. This is only done for map-only
+			jobs if hive.merge.mapfiles is true, and for map-reduce jobs if
+			hive.merge.mapredfiles is true.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.smalltable.filesize</name>
+		<value>25000000</value>
+		<description>The threshold for the input file size of the small
+			tables; if the file size is smaller than this threshold, it will try
+			to convert the common join into map join
+		</description>
+	</property>
+
+	<property>
+		<name>hive.ignore.mapjoin.hint</name>
+		<value>true</value>
+		<description>Ignore the mapjoin hint</description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.localtask.max.memory.usage</name>
+		<value>0.90</value>
+		<description>This number means how much memory the local task can take
+			to hold the key/value into in-memory hash table; If the local task's
+			memory usage is more than this number, the local task will be abort
+			by themself. It means the data of small table is too large to be hold
+			in the memory.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.followby.gby.localtask.max.memory.usage</name>
+		<value>0.55</value>
+		<description>This number means how much memory the local task can take
+			to hold the key/value into in-memory hash table when this map join
+			followed by a group by; If the local task's memory usage is more than
+			this number, the local task will be abort by themself. It means the
+			data of small table is too large to be hold in the memory.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapjoin.check.memory.rows</name>
+		<value>100000</value>
+		<description>The number means after how many rows processed it needs
+			to check the memory usage
+		</description>
+	</property>
+
+	<property>
+		<name>hive.auto.convert.join</name>
+		<value>false</value>
+		<description>Whether Hive enable the optimization about converting
+			common join into mapjoin based on the input file size
+		</description>
+	</property>
+
+	<property>
+		<name>hive.auto.convert.join.noconditionaltask</name>
+		<value>true</value>
+		<description>Whether Hive enable the optimization about converting
+			common join into mapjoin based on the input file
+			size. If this
+			paramater is on, and the sum of size for n-1 of the
+			tables/partitions
+			for a n-way join is smaller than the
+			specified size, the join is
+			directly converted to a mapjoin (there is no
+			conditional task).
+		</description>
+	</property>
+
+	<property>
+		<name>hive.auto.convert.join.noconditionaltask.size</name>
+		<value>10000000</value>
+		<description>If hive.auto.convert.join.noconditionaltask is off, this
+			parameter does not take affect. However, if it
+			is on, and the sum of
+			size for n-1 of the tables/partitions for a n-way
+			join is smaller than
+			this size, the join is directly
+			converted to a mapjoin(there is no
+			conditional task). The default is 10MB
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.mapjoin.mapreduce</name>
+		<value>false</value>
+		<description>If hive.auto.convert.join is off, this parameter does not
+			take
+			affect. If it is on, and if there are map-join jobs followed by a
+			map-reduce
+			job (for e.g a group by), each map-only job is merged with
+			the
+			following
+			map-reduce job.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.script.auto.progress</name>
+		<value>false</value>
+		<description>Whether Hive Tranform/Map/Reduce Clause should
+			automatically send progress information to TaskTracker to avoid the
+			task getting killed because of inactivity. Hive sends progress
+			information when the script is outputting to stderr. This option
+			removes the need of periodically producing stderr messages, but users
+			should be cautious because this may prevent infinite loops in the
+			scripts to be killed by TaskTracker.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.script.serde</name>
+		<value>org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe</value>
+		<description>The default serde for trasmitting input data to and
+			reading output data from the user scripts.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.binary.record.max.length</name>
+		<value>1000</value>
+		<description>Read from a binary stream and treat each
+			hive.binary.record.max.length bytes as a record.
+			The last record
+			before the end of stream can have less than
+			hive.binary.record.max.length bytes
+		</description>
+	</property>
+
+
+	<property>
+		<name>hive.script.recordreader</name>
+		<value>org.apache.hadoop.hive.ql.exec.TextRecordReader</value>
+		<description>The default record reader for reading data from the user
+			scripts.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.script.recordwriter</name>
+		<value>org.apache.hadoop.hive.ql.exec.TextRecordWriter</value>
+		<description>The default record writer for writing data to the user
+			scripts.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.input.format</name>
+		<value>org.apache.hadoop.hive.ql.io.CombineHiveInputFormat</value>
+		<description>The default input format. Set this to HiveInputFormat if
+			you encounter problems with CombineHiveInputFormat.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.udtf.auto.progress</name>
+		<value>false</value>
+		<description>Whether Hive should automatically send progress
+			information to TaskTracker when using UDTF's to prevent the task
+			getting killed because of inactivity. Users should be cautious
+			because this may prevent TaskTracker from killing tasks with infinte
+			loops.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.mapred.reduce.tasks.speculative.execution</name>
+		<value>true</value>
+		<description>Whether speculative execution for reducers should be
+			turned on.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.counters.pull.interval</name>
+		<value>1000</value>
+		<description>The interval with which to poll the JobTracker for the
+			counters the running job. The smaller it is the more load there will
+			be on the jobtracker, the higher it is the less granular the caught
+			will be.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.querylog.location</name>
+		<value>/tmp/${user.name}</value>
+		<description>
+			Location of Hive run time structured log file
+		</description>
+	</property>
+
+	<property>
+		<name>hive.querylog.enable.plan.progress</name>
+		<value>true</value>
+		<description>
+			Whether to log the plan's progress every time a job's
+			progress is checked.
+			These logs are written to the location specified
+			by
+			hive.querylog.location
+		</description>
+	</property>
+
+	<property>
+		<name>hive.querylog.plan.progress.interval</name>
+		<value>60000</value>
+		<description>
+			The interval to wait between logging the plan's progress
+			in
+			milliseconds.
+			If there is a whole number percentage change in the
+			progress of the
+			mappers or the reducers,
+			the progress is logged
+			regardless of this value.
+			The actual interval will be the ceiling of
+			(this value divided by the
+			value of
+			hive.exec.counters.pull.interval)
+			multiplied by the value of hive.exec.counters.pull.interval
+			I.e. if it
+			is not divide evenly by the value of
+			hive.exec.counters.pull.interval
+			it will be
+			logged less frequently than specified.
+			This only has an
+			effect if hive.querylog.enable.plan.progress is set to
+			true.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.enforce.bucketing</name>
+		<value>false</value>
+		<description>Whether bucketing is enforced. If true, while inserting
+			into the table, bucketing is enforced.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.enforce.sorting</name>
+		<value>false</value>
+		<description>Whether sorting is enforced. If true, while inserting
+			into the table, sorting is enforced.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.bucketingsorting</name>
+		<value>true</value>
+		<description>If hive.enforce.bucketing or hive.enforce.sorting is
+			true, dont create a reducer for enforcing
+			bucketing/sorting for
+			queries of the form:
+			insert overwrite table T2 select * from T1;
+			where
+			T1 and T2 are bucketed/sorted by the same keys into the same number
+			of buckets.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.enforce.sortmergebucketmapjoin</name>
+		<value>false</value>
+		<description>If the user asked for sort-merge bucketed map-side join,
+			and it cannot be performed,
+			should the query fail or not ?
+		</description>
+	</property>
+
+	<property>
+		<name>hive.auto.convert.sortmerge.join</name>
+		<value>false</value>
+		<description>Will the join be automatically converted to a sort-merge
+			join, if the joined tables pass
+			the criteria for sort-merge join.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.auto.convert.sortmerge.join.bigtable.selection.policy
+		</name>
+		<value>org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ
+		</value>
+		<description>The policy to choose the big table for automatic
+			conversion to sort-merge join.
+			By default, the table with the largest
+			partitions is assigned the big
+			table. All policies are:
+			. based on
+			position of the table - the leftmost table is selected
+			org.apache.hadoop.hive.ql.optimizer.LeftmostBigTableSMJ.
+			. based on
+			total size (all the partitions selected in the query) of
+			the table
+			org.apache.hadoop.hive.ql.optimizer.TableSizeBasedBigTableSelectorForAutoSMJ.
+			. based on average size (all the partitions selected in the query) of
+			the table
+			org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ.
+			New policies can be added in future.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.ds.connection.url.hook</name>
+		<value></value>
+		<description>Name of the hook to use for retriving the JDO connection
+			URL. If empty, the value in javax.jdo.option.ConnectionURL is used
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.ds.retry.attempts</name>
+		<value>1</value>
+		<description>The number of times to retry a metastore call if there
+			were a connection error
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.ds.retry.interval</name>
+		<value>1000</value>
+		<description>The number of miliseconds between metastore retry
+			attempts
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.server.min.threads</name>
+		<value>200</value>
+		<description>Minimum number of worker threads in the Thrift server's
+			pool.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.server.max.threads</name>
+		<value>100000</value>
+		<description>Maximum number of worker threads in the Thrift server's
+			pool.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.server.tcp.keepalive</name>
+		<value>true</value>
+		<description>Whether to enable TCP keepalive for the metastore server.
+			Keepalive will prevent accumulation of half-open connections.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.sasl.enabled</name>
+		<value>false</value>
+		<description>If true, the metastore thrift interface will be secured
+			with SASL. Clients must authenticate with Kerberos.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.thrift.framed.transport.enabled</name>
+		<value>false</value>
+		<description>If true, the metastore thrift interface will use
+			TFramedTransport. When false (default) a standard TTransport is used.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.kerberos.keytab.file</name>
+		<value></value>
+		<description>The path to the Kerberos Keytab file containing the
+			metastore thrift server's service principal.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.kerberos.principal</name>
+		<value>hive-metastore/_HOST@EXAMPLE.COM</value>
+		<description>The service principal for the metastore thrift server.
+			The special string _HOST will be replaced automatically with the
+			correct host name.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.cluster.delegation.token.store.class</name>
+		<value>org.apache.hadoop.hive.thrift.MemoryTokenStore</value>
+		<description>The delegation token store implementation. Set to
+			org.apache.hadoop.hive.thrift.ZooKeeperTokenStore for load-balanced
+			cluster.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.cluster.delegation.token.store.zookeeper.connectString
+		</name>
+		<value>localhost:2181</value>
+		<description>The ZooKeeper token store connect string.</description>
+	</property>
+
+	<property>
+		<name>hive.cluster.delegation.token.store.zookeeper.znode</name>
+		<value>/hive/cluster/delegation</value>
+		<description>The root path for token store data.</description>
+	</property>
+
+	<property>
+		<name>hive.cluster.delegation.token.store.zookeeper.acl</name>
+		<value>sasl:hive/host1@EXAMPLE.COM:cdrwa,sasl:hive/host2@EXAMPLE.COM:cdrwa
+		</value>
+		<description>ACL for token store entries. List comma separated all
+			server principals for the cluster.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.cache.pinobjtypes</name>
+		<value>Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order
+		</value>
+		<description>List of comma separated metastore object types that
+			should be pinned in the cache
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.reducededuplication</name>
+		<value>true</value>
+		<description>Remove extra map-reduce jobs if the data is already
+			clustered by the same key which needs to be used again. This should
+			always be set to true. Since it is a new feature, it has been made
+			configurable.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.reducededuplication.min.reducer</name>
+		<value>4</value>
+		<description>Reduce deduplication merges two RSs by moving
+			key/parts/reducer-num of the child RS to parent RS.
+			That means if
+			reducer-num of the child RS is fixed (order by or forced
+			bucketing)
+			and small, it can make very slow, single MR.
+			The optimization will be
+			disabled if number of reducers is less than
+			specified value.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.dynamic.partition</name>
+		<value>true</value>
+		<description>Whether or not to allow dynamic partitions in DML/DDL.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.dynamic.partition.mode</name>
+		<value>strict</value>
+		<description>In strict mode, the user must specify at least one static
+			partition in case the user accidentally overwrites all partitions.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.max.dynamic.partitions</name>
+		<value>1000</value>
+		<description>Maximum number of dynamic partitions allowed to be
+			created in total.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.max.dynamic.partitions.pernode</name>
+		<value>100</value>
+		<description>Maximum number of dynamic partitions allowed to be
+			created in each mapper/reducer node.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.max.created.files</name>
+		<value>100000</value>
+		<description>Maximum number of HDFS files created by all
+			mappers/reducers in a MapReduce job.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.default.partition.name</name>
+		<value>__HIVE_DEFAULT_PARTITION__</value>
+		<description>The default partition name in case the dynamic partition
+			column value is null/empty string or anyother values that cannot be
+			escaped. This value must not contain any special character used in
+			HDFS URI (e.g., ':', '%', '/' etc). The user has to be aware that the
+			dynamic partition value should not contain this value to avoid
+			confusions.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.dbclass</name>
+		<value>jdbc:derby</value>
+		<description>The default database that stores temporary hive
+			statistics.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.autogather</name>
+		<value>true</value>
+		<description>A flag to gather statistics automatically during the
+			INSERT OVERWRITE command.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.jdbcdriver</name>
+		<value>org.apache.derby.jdbc.EmbeddedDriver</value>
+		<description>The JDBC driver for the database that stores temporary
+			hive statistics.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.dbconnectionstring</name>
+		<value>jdbc:derby:;databaseName=TempStatsStore;create=true</value>
+		<description>The default connection string for the database that
+			stores temporary hive statistics.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.default.publisher</name>
+		<value></value>
+		<description>The Java class (implementing the StatsPublisher
+			interface) that is used by default if hive.stats.dbclass is not JDBC
+			or HBase.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.default.aggregator</name>
+		<value></value>
+		<description>The Java class (implementing the StatsAggregator
+			interface) that is used by default if hive.stats.dbclass is not JDBC
+			or HBase.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.jdbc.timeout</name>
+		<value>30</value>
+		<description>Timeout value (number of seconds) used by JDBC connection
+			and statements.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.retries.max</name>
+		<value>0</value>
+		<description>Maximum number of retries when stats publisher/aggregator
+			got an exception updating intermediate database. Default is no tries
+			on failures.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.retries.wait</name>
+		<value>3000</value>
+		<description>The base waiting window (in milliseconds) before the next
+			retry. The actual wait time is calculated by baseWindow * failues
+			baseWindow * (failure 1) * (random number between [0.0,1.0]).
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.reliable</name>
+		<value>false</value>
+		<description>Whether queries will fail because stats cannot be
+			collected completely accurately.
+			If this is set to true,
+			reading/writing from/into a partition may fail
+			becuase the stats
+			could
+			not be computed accurately.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.collect.tablekeys</name>
+		<value>false</value>
+		<description>Whether join and group by keys on tables are derived and
+			maintained in the QueryPlan.
+			This is useful to identify how tables are
+			accessed and to determine if
+			they should be bucketed.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.collect.scancols</name>
+		<value>false</value>
+		<description>Whether column accesses are tracked in the QueryPlan.
+			This is useful to identify how tables are accessed and to determine
+			if there are wasted columns that can be trimmed.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.ndv.error</name>
+		<value>20.0</value>
+		<description>Standard error expressed in percentage. Provides a
+			tradeoff between accuracy and compute cost.A lower value for error
+			indicates higher accuracy and a higher compute cost.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.stats.key.prefix.max.length</name>
+		<value>200</value>
+		<description>
+			Determines if when the prefix of the key used for
+			intermediate stats collection
+			exceeds a certain length, a hash of the
+			key is used instead. If the
+			value &lt; 0 then hashing
+			is never used, if
+			the value >= 0 then hashing is used only when the key
+			prefixes length
+			exceeds that value. The key prefix is defined as everything preceding
+			the
+			task ID in the key.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.support.concurrency</name>
+		<value>false</value>
+		<description>Whether hive supports concurrency or not. A zookeeper
+			instance must be up and running for the default hive lock manager to
+			support read-write locks.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.lock.numretries</name>
+		<value>100</value>
+		<description>The number of times you want to try to get all the locks
+		</description>
+	</property>
+
+	<property>
+		<name>hive.unlock.numretries</name>
+		<value>10</value>
+		<description>The number of times you want to retry to do one unlock
+		</description>
+	</property>
+
+	<property>
+		<name>hive.lock.sleep.between.retries</name>
+		<value>60</value>
+		<description>The sleep time (in seconds) between various retries
+		</description>
+	</property>
+
+	<property>
+		<name>hive.zookeeper.quorum</name>
+		<value></value>
+		<description>The list of zookeeper servers to talk to. This is only
+			needed for read/write locks.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.zookeeper.client.port</name>
+		<value>2181</value>
+		<description>The port of zookeeper servers to talk to. This is only
+			needed for read/write locks.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.zookeeper.session.timeout</name>
+		<value>600000</value>
+		<description>Zookeeper client's session timeout. The client is
+			disconnected, and as a result, all locks released, if a heartbeat is
+			not sent in the timeout.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.zookeeper.namespace</name>
+		<value>hive_zookeeper_namespace</value>
+		<description>The parent node under which all zookeeper nodes are
+			created.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.zookeeper.clean.extra.nodes</name>
+		<value>false</value>
+		<description>Clean extra nodes at the end of the session.
+		</description>
+	</property>
+
+	<property>
+		<name>fs.har.impl</name>
+		<value>org.apache.hadoop.hive.shims.HiveHarFileSystem</value>
+		<description>The implementation for accessing Hadoop Archives. Note
+			that this won't be applicable to Hadoop vers less than 0.20
+		</description>
+	</property>
+
+	<property>
+		<name>hive.archive.enabled</name>
+		<value>false</value>
+		<description>Whether archiving operations are permitted</description>
+	</property>
+
+	<property>
+		<name>hive.fetch.output.serde</name>
+		<value>org.apache.hadoop.hive.serde2.DelimitedJSONSerDe</value>
+		<description>The serde used by FetchTask to serialize the fetch
+			output.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.mode.local.auto</name>
+		<value>false</value>
+		<description> Let hive determine whether to run in local mode
+			automatically
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.drop.ignorenonexistent</name>
+		<value>true</value>
+		<description>
+			Do not report an error if DROP TABLE/VIEW specifies a
+			non-existent
+			table/view
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.show.job.failure.debug.info</name>
+		<value>true</value>
+		<description>
+			If a job fails, whether to provide a link in the CLI to
+			the task with
+			the
+			most failures, along with debugging hints if
+			applicable.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.auto.progress.timeout</name>
+		<value>0</value>
+		<description>
+			How long to run autoprogressor for the script/UDTF
+			operators (in
+			seconds).
+			Set to 0 for forever.
+		</description>
+	</property>
+
+	<!-- HBase Storage Handler Parameters -->
+
+	<property>
+		<name>hive.hbase.wal.enabled</name>
+		<value>true</value>
+		<description>Whether writes to HBase should be forced to the
+			write-ahead log. Disabling this improves HBase write performance at
+			the risk of lost writes in case of a crash.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.table.parameters.default</name>
+		<value></value>
+		<description>Default property values for newly created tables
+		</description>
+	</property>
+
+	<property>
+		<name>hive.entity.separator</name>
+		<value>@</value>
+		<description>Separator used to construct names of tables and
+			partitions. For example, dbname@tablename@partitionname
+		</description>
+	</property>
+
+	<property>
+		<name>hive.ddl.createtablelike.properties.whitelist</name>
+		<value></value>
+		<description>Table Properties to copy over when executing a Create
+			Table Like.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.variable.substitute</name>
+		<value>true</value>
+		<description>This enables substitution using syntax like ${var}
+			${system:var} and ${env:var}.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.variable.substitute.depth</name>
+		<value>40</value>
+		<description>The maximum replacements the substitution engine will do.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.conf.validation</name>
+		<value>true</value>
+		<description>Eables type checking for registered hive configurations
+		</description>
+	</property>
+
+	<property>
+		<name>hive.security.authorization.enabled</name>
+		<value>false</value>
+		<description>enable or disable the hive client authorization
+		</description>
+	</property>
+
+	<property>
+		<name>hive.security.authorization.createtable.user.grants</name>
+		<value></value>
+		<description>the privileges automatically granted to some users
+			whenever a table gets created.
+			An example like
+			"userX,userY:select;userZ:create" will grant select
+			privilege to userX
+			and userY,
+			and grant create privilege to userZ whenever a new table
+			created.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.security.authorization.createtable.group.grants</name>
+		<value></value>
+		<description>the privileges automatically granted to some groups
+			whenever a table gets created.
+			An example like
+			"groupX,groupY:select;groupZ:create" will grant select
+			privilege to
+			groupX and groupY,
+			and grant create privilege to groupZ whenever a new
+			table created.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.security.authorization.createtable.role.grants</name>
+		<value></value>
+		<description>the privileges automatically granted to some roles
+			whenever a table gets created.
+			An example like
+			"roleX,roleY:select;roleZ:create" will grant select
+			privilege to roleX
+			and roleY,
+			and grant create privilege to roleZ whenever a new table
+			created.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.security.authorization.createtable.owner.grants</name>
+		<value></value>
+		<description>the privileges automatically granted to the owner
+			whenever a table gets created.
+			An example like "select,drop" will
+			grant select and drop privilege to
+			the owner of the table
+		</description>
+	</property>
+
+	<property>
+		<name>hive.metastore.authorization.storage.checks</name>
+		<value>false</value>
+		<description>Should the metastore do authorization checks against the
+			underlying storage
+			for operations like drop-partition (disallow the
+			drop-partition if the
+			user in
+			question doesn't have permissions to
+			delete the corresponding directory
+			on the storage).
+		</description>
+	</property>
+
+	<property>
+		<name>hive.error.on.empty.partition</name>
+		<value>false</value>
+		<description>Whether to throw an excpetion if dynamic partition insert
+			generates empty results.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.index.compact.file.ignore.hdfs</name>
+		<value>false</value>
+		<description>True the hdfs location stored in the index file will be
+			igbored at runtime.
+			If the data got moved or the name of the cluster
+			got changed, the index
+			data should still be usable.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.index.filter.compact.minsize</name>
+		<value>5368709120</value>
+		<description>Minimum size (in bytes) of the inputs on which a compact
+			index is automatically used.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.optimize.index.filter.compact.maxsize</name>
+		<value>-1</value>
+		<description>Maximum size (in bytes) of the inputs on which a compact
+			index is automatically used.
+			A negative number is equivalent to
+			infinity.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.index.compact.query.max.size</name>
+		<value>10737418240</value>
+		<description>The maximum number of bytes that a query using the
+			compact index can read. Negative value is equivalent to infinity.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.index.compact.query.max.entries</name>
+		<value>10000000</value>
+		<description>The maximum number of index entries to read during a
+			query that uses the compact index. Negative value is equivalent to
+			infinity.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.index.compact.binary.search</name>
+		<value>true</value>
+		<description>Whether or not to use a binary search to find the entries
+			in an index table that match the filter, where possible
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exim.uri.scheme.whitelist</name>
+		<value>hdfs,pfile</value>
+		<description>A comma separated list of acceptable URI schemes for
+			import and export.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.lock.mapred.only.operation</name>
+		<value>false</value>
+		<description>This param is to control whether or not only do lock on
+			queries
+			that need to execute at least one mapred job.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.limit.row.max.size</name>
+		<value>100000</value>
+		<description>When trying a smaller subset of data for simple LIMIT,
+			how much size we need to guarantee
+			each row to have at least.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.limit.optimize.limit.file</name>
+		<value>10</value>
+		<description>When trying a smaller subset of data for simple LIMIT,
+			maximum number of files we can
+			sample.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.limit.optimize.enable</name>
+		<value>false</value>
+		<description>Whether to enable to optimization to trying a smaller
+			subset of data for simple LIMIT first.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.limit.optimize.fetch.max</name>
+		<value>50000</value>
+		<description>Maximum number of rows allowed for a smaller subset of
+			data for simple LIMIT, if it is a fetch query.
+			Insert queries are not
+			restricted by this limit.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.rework.mapredwork</name>
+		<value>false</value>
+		<description>should rework the mapred work or not.
+			This is first
+			introduced by SymlinkTextInputFormat to replace symlink
+			files with
+			real paths at compile time.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.concatenate.check.index</name>
+		<value>true</value>
+		<description>If this sets to true, hive will throw error when doing
+			'alter table tbl_name [partSpec] concatenate' on a table/partition
+			that has indexes on it. The reason the user want to set this to true
+			is because it can help user to avoid handling all index drop,
+			recreation,
+			rebuild work. This is very helpful for tables with
+			thousands of partitions.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.sample.seednumber</name>
+		<value>0</value>
+		<description>A number used to percentage sampling. By changing this
+			number, user will change the subsets
+			of data sampled.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.io.exception.handlers</name>
+		<value></value>
+		<description>A list of io exception handler class names. This is used
+			to construct a list exception handlers to handle exceptions thrown
+			by
+			record readers
+		</description>
+	</property>
+
+	<property>
+		<name>hive.autogen.columnalias.prefix.label</name>
+		<value>_c</value>
+		<description>String used as a prefix when auto generating column
+			alias.
+			By default the prefix label will be appended with a column
+			position
+			number to form the column alias. Auto generation would happen
+			if an
+			aggregate function is used in a select clause without an
+			explicit
+			alias.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.autogen.columnalias.prefix.includefuncname</name>
+		<value>false</value>
+		<description>Whether to include function name in the column alias auto
+			generated by hive.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.perf.logger</name>
+		<value>org.apache.hadoop.hive.ql.log.PerfLogger</value>
+		<description>The class responsible logging client side performance
+			metrics. Must be a subclass of
+			org.apache.hadoop.hive.ql.log.PerfLogger
+		</description>
+	</property>
+
+	<property>
+		<name>hive.start.cleanup.scratchdir</name>
+		<value>false</value>
+		<description>To cleanup the hive scratchdir while starting the hive
+			server
+		</description>
+	</property>
+
+	<property>
+		<name>hive.output.file.extension</name>
+		<value></value>
+		<description>String used as a file extension for output files. If not
+			set, defaults to the codec extension for text files (e.g. ".gz"), or
+			no extension otherwise.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.insert.into.multilevel.dirs</name>
+		<value>false</value>
+		<description>Where to insert into multilevel directories like
+			"insert
+			directory '/HIVEFT25686/chinna/' from table"
+		</description>
+	</property>
+
+	<property>
+		<name>hive.warehouse.subdir.inherit.perms</name>
+		<value>false</value>
+		<description>Set this to true if the the table directories should
+			inherit the
+			permission of the warehouse or database directory instead
+			of being created
+			with the permissions derived from dfs umask
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.job.debug.capture.stacktraces</name>
+		<value>true</value>
+		<description>Whether or not stack traces parsed from the task logs of
+			a sampled failed task for
+			each failed job should be stored in the
+			SessionState
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.driver.run.hooks</name>
+		<value></value>
+		<description>A comma separated list of hooks which implement
+			HiveDriverRunHook and will be run at the
+			beginning and end of
+			Driver.run, these will be run in the order specified
+		</description>
+	</property>
+
+	<property>
+		<name>hive.ddl.output.format</name>
+		<value>text</value>
+		<description>
+			The data format to use for DDL output. One of "text" (for
+			human
+			readable text) or "json" (for a json object).
+		</description>
+	</property>
+
+	<property>
+		<name>hive.transform.escape.input</name>
+		<value>false</value>
+		<description>
+			This adds an option to escape special chars (newlines,
+			carriage returns
+			and
+			tabs) when they are passed to the user script.
+			This is useful if the hive
+			tables
+			can contain data that contains
+			special characters.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.rcfile.use.explicit.header</name>
+		<value>true</value>
+		<description>
+			If this is set the header for RC Files will simply be
+			RCF. If this is
+			not
+			set the header will be that borrowed from sequence
+			files, e.g. SEQ-
+			followed
+			by the input and output RC File formats.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.multi.insert.move.tasks.share.dependencies</name>
+		<value>false</value>
+		<description>
+			If this is set all move tasks for tables/partitions (not
+			directories)
+			at the end of a
+			multi-insert query will only begin once
+			the dependencies for all these move tasks
+			have been
+			met.
+			Advantages: If
+			concurrency is enabled, the locks will only be released once the
+			query has
+			finished, so with this config enabled, the time when the
+			table/partition is
+			generated will be much closer to when the lock on
+			it is released.
+			Disadvantages: If concurrency is not enabled, with
+			this disabled, the
+			tables/partitions which
+			are produced by this query
+			and finish earlier will be available for
+			querying
+			much earlier. Since
+			the locks are only released once the query finishes,
+			this
+			does not
+			apply if concurrency is enabled.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.fetch.task.conversion</name>
+		<value>minimal</value>
+		<description>
+			Some select queries can be converted to single FETCH task
+			minimizing
+			latency.
+			Currently the query should be single sourced not
+			having any subquery and
+			should not have
+			any aggregations or distincts
+			(which incurrs RS), lateral views and
+			joins.
+			1. minimal : SELECT STAR,
+			FILTER on partition columns, LIMIT only
+			2. more : SELECT, FILTER,
+			LIMIT only (TABLESAMPLE, virtual columns)
+		</description>
+	</property>
+
+	<property>
+		<name>hive.hmshandler.retry.attempts</name>
+		<value>1</value>
+		<description>The number of times to retry a HMSHandler call if there
+			were a connection error
+		</description>
+	</property>
+
+	<property>
+		<name>hive.hmshandler.retry.interval</name>
+		<value>1000</value>
+		<description>The number of miliseconds between HMSHandler retry
+			attempts
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server.read.socket.timeout</name>
+		<value>10</value>
+		<description>Timeout for the HiveServer to close the connection if no
+			response from the client in N seconds, defaults to 10 seconds.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server.tcp.keepalive</name>
+		<value>true</value>
+		<description>Whether to enable TCP keepalive for the Hive server.
+			Keepalive will prevent accumulation of half-open connections.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.decode.partition.name</name>
+		<value>false</value>
+		<description>Whether to show the unquoted partition names in query
+			results.
+		</description>
+	</property>
+
+	<property>
+		<name>hive.log4j.file</name>
+		<value></value>
+		<description>Hive log4j configuration file.
+			If the property is not set,
+			then logging will be initialized using
+			hive-log4j.properties found on
+			the classpath.
+			If the property is set, the value must be a valid URI
+			(java.net.URI,
+			e.g. "file:///tmp/my-logging.properties"), which you
+			can then extract
+			a URL from and pass to
+			PropertyConfigurator.configure(URL).
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.log4j.file</name>
+		<value></value>
+		<description>Hive log4j configuration file for execution mode(sub
+			command).
+			If the property is not set, then logging will be initialized
+			using
+			hive-exec-log4j.properties found on the classpath.
+			If the
+			property is set, the value must be a valid URI (java.net.URI,
+			e.g.
+			"file:///tmp/my-logging.properties"), which you can then extract
+			a URL
+			from and pass to PropertyConfigurator.configure(URL).
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.infer.bucket.sort</name>
+		<value>false</value>
+		<description>
+			If this is set, when writing partitions, the metadata
+			will include the
+			bucketing/sorting
+			properties with which the data was
+			written if any (this will not overwrite the
+			metadata
+			inherited from the
+			table if the table is bucketed/sorted)
+		</description>
+	</property>
+
+	<property>
+		<name>hive.exec.infer.bucket.sort.num.buckets.power.two</name>
+		<value>false</value>
+		<description>
+			If this is set, when setting the number of reducers for
+			the map reduce
+			task which writes the
+			final output files, it will choose
+			a number which is a power of two,
+			unless the user specifies
+			the number
+			of reducers to use using mapred.reduce.tasks. The number of
+			reducers
+			may be set to a power of two, only to be followed by a merge task
+			meaning preventing
+			anything from being inferred.
+			With
+			hive.exec.infer.bucket.sort set to true:
+			Advantages: If this is not
+			set, the number of buckets for partitions will seem
+			arbitrary,
+			which
+			means that the number of mappers used for optimized joins, for
+			example, will
+			be very low. With this set, since the number of buckets
+			used for any
+			partition is
+			a power of two, the number of mappers used
+			for optimized joins will be
+			the least
+			number of buckets used by any
+			partition being joined.
+			Disadvantages: This may mean a much larger or
+			much smaller number of reducers being
+			used in the
+			final map reduce job,
+			e.g. if a job was originally going to take 257
+			reducers,
+			it will now
+			take 512 reducers, similarly if the max number of reducers
+			is 511,
+			and
+			a job was going to use this many, it will now use 256 reducers.
+
+		</description>
+	</property>
+
+	<property>
+		<name>hive.groupby.orderby.position.alias</name>
+		<value>false</value>
+		<description>Whether to enable using Column Position Alias in Group By
+			or Order By
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server2.thrift.min.worker.threads</name>
+		<value>5</value>
+		<description>Minimum number of Thrift worker threads</description>
+	</property>
+
+	<property>
+		<name>hive.server2.thrift.max.worker.threads</name>
+		<value>100</value>
+		<description>Maximum number of Thrift worker threads</description>
+	</property>
+
+	<property>
+		<name>hive.server2.thrift.port</name>
+		<value>10000</value>
+		<description>Port number of HiveServer2 Thrift interface.
+			Can be
+			overridden by setting $HIVE_SERVER2_THRIFT_PORT
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server2.thrift.bind.host</name>
+		<value>localhost</value>
+		<description>Bind host on which to run the HiveServer2 Thrift
+			interface.
+			Can be overridden by setting $HIVE_SERVER2_THRIFT_BIND_HOST
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server2.authentication</name>
+		<value>NONE</value>
+		<description>
+			Client authentication types.
+			NONE: no authentication check
+			LDAP: LDAP/AD based authentication
+			KERBEROS: Kerberos/GSSAPI
+			authentication
+			CUSTOM: Custom authentication provider
+			(Use with
+			property hive.server2.custom.authentication.class)
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server2.custom.authentication.class</name>
+		<value></value>
+		<description>
+			Custom authentication class. Used when property
+			'hive.server2.authentication' is set to 'CUSTOM'. Provided class
+			must
+			be a proper implementation of the interface
+			org.apache.hive.service.auth.PasswdAuthenticationProvider.
+			HiveServer2
+			will call its Authenticate(user, passed) method to
+			authenticate requests.
+			The implementation may optionally extend the
+			Hadoop's
+			org.apache.hadoop.conf.Configured class to grab Hive's
+			Configuration
+			object.
+		</description>
+	</property>
+
+	<property>
+		<name>>hive.server2.authentication.kerberos.principal</name>
+		<value></value>
+		<description>
+			Kerberos server principal
+		</description>
+	</property>
+
+	<property>
+		<name>>hive.server2.authentication.kerberos.keytab</name>
+		<value></value>
+		<description>
+			Kerberos keytab file for server principal
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server2.authentication.ldap.url</name>
+		<value></value>
+		<description>
+			LDAP connection URL
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server2.authentication.ldap.baseDN</name>
+		<value></value>
+		<description>
+			LDAP base DN
+		</description>
+	</property>
+
+	<property>
+		<name>hive.server2.enable.doAs</name>
+		<value>true</value>
+		<description>
+			Setting this property to true will have hive server2
+			execute
+			hive operations as the user making the calls to it.
+		</description>
+	</property>
+
+
+</configuration>
diff --git a/hivesterix/hivesterix-dist/src/main/resources/scripts/copylog.sh b/hivesterix/hivesterix-dist/src/main/resources/scripts/copylog.sh
new file mode 100644
index 0000000..7767b2d
--- /dev/null
+++ b/hivesterix/hivesterix-dist/src/main/resources/scripts/copylog.sh
@@ -0,0 +1,7 @@
+. conf/cluster.properties
+
+NODEID=`hostname | cut -d '.' -f 1`
+#echo $NODEID
+
+#echo "rsync ${NCLOGS_DIR}/${NODEID}.log ${1}:${2}"
+rsync ${NCLOGS_DIR}/${NODEID}.log ${1}:${2}
diff --git a/hivesterix/hivesterix-dist/src/main/resources/scripts/dumpAll.sh b/hivesterix/hivesterix-dist/src/main/resources/scripts/dumpAll.sh
new file mode 100644
index 0000000..e7d45e8
--- /dev/null
+++ b/hivesterix/hivesterix-dist/src/main/resources/scripts/dumpAll.sh
@@ -0,0 +1,12 @@
+. conf/cluster.properties
+PREGELIX_PATH=`pwd`
+LOG_PATH=$PREGELIX_PATH/logs/
+rm -rf $LOG_PATH
+mkdir $LOG_PATH
+ccname=`hostname`
+
+for i in `cat conf/slaves`
+do
+   ssh $i "cd ${PREGELIX_PATH}; bin/dumptrace.sh; bin/copylog.sh ${ccname} ${LOG_PATH}"
+done
+
diff --git a/hivesterix/hivesterix-dist/src/main/resources/scripts/dumptrace.sh b/hivesterix/hivesterix-dist/src/main/resources/scripts/dumptrace.sh
new file mode 100644
index 0000000..9fe55f0
--- /dev/null
+++ b/hivesterix/hivesterix-dist/src/main/resources/scripts/dumptrace.sh
@@ -0,0 +1,15 @@
+echo `hostname`
+#Kill process
+PID=`ps -ef|grep ${USER}|grep java|grep 'Dapp.name=pregelixnc'|awk '{print $2}'`
+
+if [ "$PID" == "" ]; then
+  PID=`ps -ef|grep ${USER}|grep java|grep 'hyracks'|awk '{print $2}'`
+fi
+
+if [ "$PID" == "" ]; then
+  USERID=`id | sed 's/^uid=//;s/(.*$//'`
+  PID=`ps -ef|grep ${USERID}|grep java|grep 'Dapp.name=pregelixnc'|awk '{print $2}'`
+fi
+
+echo $PID
+kill -QUIT $PID
diff --git a/hivesterix/hivesterix-dist/src/main/resources/scripts/hive b/hivesterix/hivesterix-dist/src/main/resources/scripts/hive
index 38a9e33..d2ef909 100755
--- a/hivesterix/hivesterix-dist/src/main/resources/scripts/hive
+++ b/hivesterix/hivesterix-dist/src/main/resources/scripts/hive
@@ -175,13 +175,6 @@
     exit 5
 fi
 
-if [ $hadoop_minor_ver -ne 20 -o $hadoop_patch_ver -eq 0 ]; then
-    echo "Hive requires Hadoop 0.20.x (x >= 1)."
-    echo "'hadoop version' returned:"
-    echo `$HADOOP version`
-    exit 6
-fi
-
 if [ "${AUX_PARAM}" != "" ]; then
   HIVE_OPTS="$HIVE_OPTS -hiveconf hive.aux.jars.path=${AUX_PARAM}"
   AUX_JARS_CMD_LINE="-libjars ${AUX_PARAM}"
diff --git a/hivesterix/hivesterix-dist/src/test/java/edu/uci/ics/hivesterix/test/runtimefunction/RuntimeFunctionTestSuite.java b/hivesterix/hivesterix-dist/src/test/java/edu/uci/ics/hivesterix/test/runtimefunction/RuntimeFunctionTestSuite.java
index b024269..5fdfb3a 100644
--- a/hivesterix/hivesterix-dist/src/test/java/edu/uci/ics/hivesterix/test/runtimefunction/RuntimeFunctionTestSuite.java
+++ b/hivesterix/hivesterix-dist/src/test/java/edu/uci/ics/hivesterix/test/runtimefunction/RuntimeFunctionTestSuite.java
@@ -12,77 +12,77 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package edu.uci.ics.hivesterix.test.runtimefunction;
-
-import java.io.File;
-import java.util.List;
-
-import junit.framework.Test;
-import junit.framework.TestResult;
-import edu.uci.ics.hivesterix.test.base.AbstractTestSuiteClass;
-
-public class RuntimeFunctionTestSuite extends AbstractTestSuiteClass {
-
-    private static final String PATH_TO_QUERIES = "src/test/resources/runtimefunctionts/queries/";
-    private static final String PATH_TO_RESULTS = "src/test/resources/runtimefunctionts/results/";
-    private static final String PATH_TO_IGNORES = "src/test/resources/runtimefunctionts/ignore.txt";
-
-    private static final String FILE_EXTENSION_OF_RESULTS = "result";
-
-    public static Test suite() throws Exception {
-        List<String> ignores = getIgnoreList(PATH_TO_IGNORES);
-        File testData = new File(PATH_TO_QUERIES);
-        File[] queries = testData.listFiles();
-        RuntimeFunctionTestSuite testSuite = new RuntimeFunctionTestSuite();
-
-        // set hdfs and hyracks cluster, and load test data to hdfs
-        try {
-            testSuite.setup();
-            testSuite.loadData();
-        } catch (Exception e) {
-            e.printStackTrace();
-            throw new IllegalStateException(e.getMessage());
-        }
-
-        for (File qFile : queries) {
-            if (isIgnored(qFile.getName(), ignores))
-                continue;
-
-            if (qFile.isFile()) {
-                String resultFileName = hiveExtToResExt(qFile.getName());
-                File rFile = new File(PATH_TO_RESULTS + resultFileName);
-                testSuite.addTest(new RuntimeFunctionTestCase(qFile, rFile));
-            }
-        }
-        return testSuite;
-    }
-
-    private static String hiveExtToResExt(String fname) {
-        int dot = fname.lastIndexOf('.');
-        return fname.substring(0, dot + 1) + FILE_EXTENSION_OF_RESULTS;
-    }
-
-    /**
-     * Runs the tests and collects their result in a TestResult.
-     */
-    @Override
-    public void run(TestResult result) {
-
-        int testCount = countTestCases();
-        for (int i = 0; i < testCount; i++) {
-            Test each = this.testAt(i);
-            if (result.shouldStop())
-                break;
-            runTest(each, result);
-        }
-
-        // cleanup hdfs and hyracks cluster
-        try {
-            cleanup();
-        } catch (Exception e) {
-            e.printStackTrace();
-            throw new IllegalStateException(e.getMessage());
-        }
-    }
-
-}
+package edu.uci.ics.hivesterix.test.runtimefunction;
+
+import java.io.File;
+import java.util.List;
+
+import junit.framework.Test;
+import junit.framework.TestResult;
+import edu.uci.ics.hivesterix.test.base.AbstractTestSuiteClass;
+
+public class RuntimeFunctionTestSuite extends AbstractTestSuiteClass {
+
+    private static final String PATH_TO_QUERIES = "src/test/resources/runtimefunctionts/queries/";
+    private static final String PATH_TO_RESULTS = "src/test/resources/runtimefunctionts/results/";
+    private static final String PATH_TO_IGNORES = "src/test/resources/runtimefunctionts/ignore.txt";
+
+    private static final String FILE_EXTENSION_OF_RESULTS = "result";
+
+    public static Test suite() throws Exception {
+        List<String> ignores = getIgnoreList(PATH_TO_IGNORES);
+        File testData = new File(PATH_TO_QUERIES);
+        File[] queries = testData.listFiles();
+        RuntimeFunctionTestSuite testSuite = new RuntimeFunctionTestSuite();
+
+        // set hdfs and hyracks cluster, and load test data to hdfs
+        try {
+            testSuite.setup();
+            testSuite.loadData();
+        } catch (Exception e) {
+            e.printStackTrace();
+            throw new IllegalStateException(e.getMessage());
+        }
+
+        for (File qFile : queries) {
+            if (isIgnored(qFile.getName(), ignores))
+                continue;
+
+            if (qFile.isFile()) {
+                String resultFileName = hiveExtToResExt(qFile.getName());
+                File rFile = new File(PATH_TO_RESULTS + resultFileName);
+                testSuite.addTest(new RuntimeFunctionTestCase(qFile, rFile));
+            }
+        }
+        return testSuite;
+    }
+
+    private static String hiveExtToResExt(String fname) {
+        int dot = fname.lastIndexOf('.');
+        return fname.substring(0, dot + 1) + FILE_EXTENSION_OF_RESULTS;
+    }
+
+    /**
+     * Runs the tests and collects their result in a TestResult.
+     */
+    @Override
+    public void run(TestResult result) {
+
+        int testCount = countTestCases();
+        for (int i = 0; i < testCount; i++) {
+            Test each = this.testAt(i);
+            if (result.shouldStop())
+                break;
+            runTest(each, result);
+        }
+
+        // cleanup hdfs and hyracks cluster
+        try {
+            cleanup();
+        } catch (Exception e) {
+            e.printStackTrace();
+            throw new IllegalStateException(e.getMessage());
+        }
+    }
+
+}
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q10_returned_item.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q10_returned_item.hive
index 3f1214a..bb07665 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q10_returned_item.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q10_returned_item.hive
@@ -13,9 +13,6 @@
 -- create the result table
 create table q10_returned_item (c_custkey int, c_name string, revenue double, c_acctbal string, n_name string, c_address string, c_phone string, c_comment string);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1024000000;
-
 -- the query
 insert overwrite table q10_returned_item
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q12_shipping.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q12_shipping.hive
index 062f7b9..ae2fa3a 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q12_shipping.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q12_shipping.hive
@@ -9,8 +9,6 @@
 -- create the result table
 create table q12_shipping(l_shipmode string, high_line_count double, low_line_count double);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1225000000;
 
 -- the query
 insert overwrite table q12_shipping
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q14_promotion_effect.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q14_promotion_effect.hive
index 988f400..4644d23 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q14_promotion_effect.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q14_promotion_effect.hive
@@ -9,9 +9,6 @@
 -- create the result table
 create table q14_promotion_effect(promo_revenue double);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1040000000;
-
 -- the query
 insert overwrite table q14_promotion_effect
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q15_top_supplier.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q15_top_supplier.hive
index 04064ed..8fa333e 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q15_top_supplier.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q15_top_supplier.hive
@@ -14,8 +14,6 @@
 create table q15_top_supplier(s_suppkey int, s_name string, s_address string, s_phone string, total_revenue double);
 
 
-set mapred.min.split.size=536870912;
-
 -- the query
 insert overwrite table revenue
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q18_large_volume_customer.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q18_large_volume_customer.hive
index 76d0475..c617c26 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q18_large_volume_customer.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q18_large_volume_customer.hive
@@ -13,8 +13,6 @@
 create table q18_tmp(l_orderkey int, t_sum_quantity double);
 create table q18_large_volume_customer(c_name string, c_custkey int, o_orderkey int, o_orderdate string, o_totalprice double, sum_quantity double);
 
-set mapred.min.split.size=268435456;
-set hive.exec.reducers.bytes.per.reducer=1164000000;
 
 -- the query
 insert overwrite table q18_tmp
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q19_discounted_revenue.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q19_discounted_revenue.hive
index fd330cd..a7a0a0a 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q19_discounted_revenue.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q19_discounted_revenue.hive
@@ -9,8 +9,6 @@
 -- create the result table
 create table q19_discounted_revenue(revenue double);
 
-set mapred.min.split.size=268435456;
-set hive.exec.reducers.bytes.per.reducer=1040000000;
 
 -- the query
 insert overwrite table q19_discounted_revenue
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q1_pricing_summary_report.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q1_pricing_summary_report.hive
index a002068..af64a4f 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q1_pricing_summary_report.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q1_pricing_summary_report.hive
@@ -7,8 +7,6 @@
 -- create the target table
 CREATE TABLE q1_pricing_summary_report ( L_RETURNFLAG STRING, L_LINESTATUS STRING, SUM_QTY DOUBLE, SUM_BASE_PRICE DOUBLE, SUM_DISC_PRICE DOUBLE, SUM_CHARGE DOUBLE, AVE_QTY DOUBLE, AVE_PRICE DOUBLE, AVE_DISC DOUBLE, COUNT_ORDER INT);
 
-set mapred.min.split.size=536870912;
-
 -- the query
 INSERT OVERWRITE TABLE q1_pricing_summary_report 
 SELECT 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q20_potential_part_promotion.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q20_potential_part_promotion.hive
index 63297e6..3149962 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q20_potential_part_promotion.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q20_potential_part_promotion.hive
@@ -22,7 +22,6 @@
 create table q20_tmp4(ps_suppkey int);
 create table q20_potential_part_promotion(s_name string, s_address string);
 
-set mapred.min.split.size=536870912;
 
 -- the query
 insert overwrite table q20_tmp1
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q3_shipping_priority.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q3_shipping_priority.hive
index 0049eb3..67f6dc4 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q3_shipping_priority.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q3_shipping_priority.hive
@@ -11,9 +11,6 @@
 -- create the target table
 create table q3_shipping_priority (l_orderkey int, revenue double, o_orderdate string, o_shippriority int);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1024000000;
-
 -- the query
 Insert overwrite table q3_shipping_priority 
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q4_order_priority.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q4_order_priority.hive
index aa828e9..efbcff2 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q4_order_priority.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q4_order_priority.hive
@@ -11,7 +11,6 @@
 CREATE TABLE q4_order_priority_tmp (O_ORDERKEY INT);
 CREATE TABLE q4_order_priority (O_ORDERPRIORITY STRING, ORDER_COUNT INT);
 
-set mapred.min.split.size=536870912;
 -- the query
 INSERT OVERWRITE TABLE q4_order_priority_tmp 
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q5_local_supplier_volume.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q5_local_supplier_volume.hive
index a975ce1..091f000 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q5_local_supplier_volume.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q5_local_supplier_volume.hive
@@ -17,7 +17,6 @@
 -- create the target table
 create table q5_local_supplier_volume (N_NAME STRING, REVENUE DOUBLE);
 
-set mapred.min.split.size=536870912;
 
 -- the query
 insert overwrite table q5_local_supplier_volume 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q7_volume_shipping.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q7_volume_shipping.hive
index 3dfb22a..444644f 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q7_volume_shipping.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q7_volume_shipping.hive
@@ -17,8 +17,6 @@
 create table q7_volume_shipping (supp_nation string, cust_nation string, l_year int, revenue double);
 create table q7_volume_shipping_tmp(supp_nation string, cust_nation string, s_nationkey int, c_nationkey int);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1225000000;
 
 -- the query
 insert overwrite table q7_volume_shipping_tmp
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q9_product_type_profit.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q9_product_type_profit.hive
index 586779c..a9bb58b 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q9_product_type_profit.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/q9_product_type_profit.hive
@@ -17,8 +17,6 @@
 -- create the result table
 create table q9_product_type_profit (nation string, o_year string, sum_profit double);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1024000000;
 
 -- the query
 insert overwrite table q9_product_type_profit
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/u7_multi_join.hive b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/u7_multi_join.hive
index 2891c56..70b3538 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/u7_multi_join.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/queries/u7_multi_join.hive
@@ -6,4 +6,7 @@
 create external table orders (O_ORDERKEY INT, O_CUSTKEY INT, O_ORDERSTATUS STRING, O_TOTALPRICE DOUBLE, O_ORDERDATE STRING, O_ORDERPRIORITY STRING, O_CLERK STRING, O_SHIPPRIORITY INT, O_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION '/tpch/orders';
 create external table customer (C_CUSTKEY INT, C_NAME STRING, C_ADDRESS STRING, C_NATIONKEY INT, C_PHONE STRING, C_ACCTBAL DOUBLE, C_MKTSEGMENT STRING, C_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION '/tpch/customer';
 
-select l_linenumber, o_orderkey, o_totalprice, o_orderdate, o_shippriority from  customer c join orders o  on c.c_custkey = o.o_custkey join lineitem l    on o.o_orderkey = l.l_orderkey  where c.c_custkey<5 and o.o_totalprice<30000;
+select l_linenumber, o_orderkey, o_totalprice, o_orderdate, o_shippriority from 
+ customer c join orders o  on c.c_custkey = o.o_custkey 
+ join lineitem l    on o.o_orderkey = l.l_orderkey  
+ where c.c_custkey<5 and o.o_totalprice<30000;
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q10_returned_item.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q10_returned_item.plan
index 05b3718..bda1113 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q10_returned_item.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q10_returned_item.plan
@@ -1,5 +1,5 @@
 write [%0->$$38, %0->$$39, %0->$$45, %0->$$40, %0->$$42, %0->$$43, %0->$$41, %0->$$44]
--- SINK_WRITE  |UNPARTITIONED|
+-- SINK_WRITE  |PARTITIONED|
   project ([$$38, $$39, $$45, $$40, $$42, $$43, $$41, $$44])
   -- STREAM_PROJECT  |PARTITIONED|
     limit 20
@@ -9,11 +9,11 @@
         exchange 
         -- SORT_MERGE_EXCHANGE [$$45(DESC) ]  |PARTITIONED|
           limit 20
-          -- STREAM_LIMIT  |LOCAL|
+          -- STREAM_LIMIT  |PARTITIONED|
             exchange 
-            -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+            -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
               order (DESC, %0->$$45) 
-              -- STABLE_SORT [$$45(DESC)]  |LOCAL|
+              -- STABLE_SORT [$$45(DESC)]  |PARTITIONED|
                 exchange 
                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                   group by ([$$38 := %0->$$48; $$39 := %0->$$49; $$40 := %0->$$50; $$41 := %0->$$51; $$42 := %0->$$52; $$43 := %0->$$53; $$44 := %0->$$54]) decor ([]) {
@@ -31,7 +31,7 @@
                                   nested tuple source
                                   -- NESTED_TUPLE_SOURCE  |LOCAL|
                              }
-                      -- EXTERNAL_GROUP_BY[$$21, $$22, $$26, $$25, $$18, $$23, $$28]  |LOCAL|
+                      -- EXTERNAL_GROUP_BY[$$21, $$22, $$26, $$25, $$18, $$23, $$28]  |PARTITIONED|
                         exchange 
                         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                           project ([$$21, $$22, $$23, $$25, $$26, $$28, $$18, $$6, $$7])
@@ -82,7 +82,7 @@
                                                 -- HASH_PARTITION_EXCHANGE [$$30]  |PARTITIONED|
                                                   project ([$$30, $$29])
                                                   -- STREAM_PROJECT  |PARTITIONED|
-                                                    select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$33, 1994-01-01], function-call: algebricks:ge, Args:[%0->$$33, 1993-10-01], function-call: algebricks:lt, Args:[%0->$$33, 1994-01-01]])
+                                                    select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$33, 1993-10-01], function-call: algebricks:lt, Args:[%0->$$33, 1994-01-01]])
                                                     -- STREAM_SELECT  |PARTITIONED|
                                                       exchange 
                                                       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -99,4 +99,4 @@
                                                     exchange 
                                                     -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                                       empty-tuple-source
-                                                      -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                                      -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q11_important_stock.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q11_important_stock.plan
index 70ad7ee..8195ef0 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q11_important_stock.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q11_important_stock.plan
@@ -19,7 +19,7 @@
                       nested tuple source
                       -- NESTED_TUPLE_SOURCE  |LOCAL|
                  }
-          -- EXTERNAL_GROUP_BY[$$1]  |LOCAL|
+          -- EXTERNAL_GROUP_BY[$$1]  |PARTITIONED|
             exchange 
             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
               project ([$$1, $$3, $$4])
@@ -85,7 +85,7 @@
                     nested tuple source
                     -- NESTED_TUPLE_SOURCE  |LOCAL|
                }
-        -- EXTERNAL_GROUP_BY[]  |LOCAL|
+        -- EXTERNAL_GROUP_BY[]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             data-scan [$$2]<-[$$1, $$2] <- default.q11_part_tmp
@@ -99,7 +99,7 @@
   exchange 
   -- SORT_MERGE_EXCHANGE [$$3(DESC) ]  |PARTITIONED|
     order (DESC, %0->$$3) 
-    -- STABLE_SORT [$$3(DESC)]  |LOCAL|
+    -- STABLE_SORT [$$3(DESC)]  |PARTITIONED|
       exchange 
       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         project ([$$2, $$3])
@@ -123,4 +123,4 @@
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     empty-tuple-source
-                    -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                    -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q12_shipping.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q12_shipping.plan
index 5c240e2..d976bba 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q12_shipping.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q12_shipping.plan
@@ -7,7 +7,7 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$26(ASC) ]  |PARTITIONED|
         order (ASC, %0->$$26) 
-        -- STABLE_SORT [$$26(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$26(ASC)]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             group by ([$$26 := %0->$$34]) decor ([]) {
@@ -25,7 +25,7 @@
                             nested tuple source
                             -- NESTED_TUPLE_SOURCE  |LOCAL|
                        }
-                -- EXTERNAL_GROUP_BY[$$24]  |LOCAL|
+                -- EXTERNAL_GROUP_BY[$$24]  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     project ([$$6, $$24])
@@ -38,7 +38,7 @@
                           -- HASH_PARTITION_EXCHANGE [$$10]  |PARTITIONED|
                             project ([$$10, $$24])
                             -- STREAM_PROJECT  |PARTITIONED|
-                              select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$22, 1995-01-01], function-call: algebricks:ge, Args:[%0->$$22, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$20, %0->$$21], function-call: algebricks:lt, Args:[%0->$$21, %0->$$22], function-call: algebricks:lt, Args:[%0->$$20, %0->$$21], function-call: algebricks:ge, Args:[%0->$$22, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$22, 1995-01-01], function-call: algebricks:or, Args:[function-call: algebricks:eq, Args:[%0->$$24, MAIL], function-call: algebricks:eq, Args:[%0->$$24, SHIP]], function-call: algebricks:or, Args:[function-call: algebricks:eq, Args:[%0->$$24, MAIL], function-call: algebricks:eq, Args:[%0->$$24, SHIP]]])
+                              select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$21, %0->$$22], function-call: algebricks:lt, Args:[%0->$$20, %0->$$21], function-call: algebricks:ge, Args:[%0->$$22, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$22, 1995-01-01], function-call: algebricks:or, Args:[function-call: algebricks:eq, Args:[%0->$$24, MAIL], function-call: algebricks:eq, Args:[%0->$$24, SHIP]]])
                               -- STREAM_SELECT  |PARTITIONED|
                                 exchange 
                                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -55,4 +55,4 @@
                               exchange 
                               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                 empty-tuple-source
-                                -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q13_customer_distribution.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q13_customer_distribution.plan
index 19bcd24..40cedd6 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q13_customer_distribution.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q13_customer_distribution.plan
@@ -7,74 +7,65 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$21(DESC), $$20(DESC) ]  |PARTITIONED|
         order (DESC, %0->$$21) (DESC, %0->$$20) 
-        -- STABLE_SORT [$$21(DESC), $$20(DESC)]  |LOCAL|
+        -- STABLE_SORT [$$21(DESC), $$20(DESC)]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-            group by ([$$20 := %0->$$28]) decor ([]) {
-                      aggregate [$$21] <- [function-call: hive:count(FINAL), Args:[%0->$$27]]
+            group by ([$$20 := %0->$$26]) decor ([]) {
+                      aggregate [$$21] <- [function-call: hive:count(FINAL), Args:[%0->$$25]]
                       -- AGGREGATE  |LOCAL|
                         nested tuple source
                         -- NESTED_TUPLE_SOURCE  |LOCAL|
                    }
-            -- EXTERNAL_GROUP_BY[$$28]  |PARTITIONED|
+            -- EXTERNAL_GROUP_BY[$$26]  |PARTITIONED|
               exchange 
-              -- HASH_PARTITION_EXCHANGE [$$28]  |PARTITIONED|
-                group by ([$$28 := %0->$$19]) decor ([]) {
-                          aggregate [$$27] <- [function-call: hive:count(PARTIAL1), Args:[1]]
+              -- HASH_PARTITION_EXCHANGE [$$26]  |PARTITIONED|
+                group by ([$$26 := %0->$$19]) decor ([]) {
+                          aggregate [$$25] <- [function-call: hive:count(PARTIAL1), Args:[1]]
                           -- AGGREGATE  |LOCAL|
                             nested tuple source
                             -- NESTED_TUPLE_SOURCE  |LOCAL|
                        }
-                -- EXTERNAL_GROUP_BY[$$19]  |LOCAL|
+                -- EXTERNAL_GROUP_BY[$$19]  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     project ([$$19])
                     -- STREAM_PROJECT  |PARTITIONED|
                       exchange 
                       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                        group by ([$$18 := %0->$$26]) decor ([]) {
-                                  aggregate [$$19] <- [function-call: hive:count(FINAL), Args:[%0->$$25]]
+                        group by ([$$18 := %0->$$10]) decor ([]) {
+                                  aggregate [$$19] <- [function-call: hive:count(COMPLETE), Args:[%0->$$1]]
                                   -- AGGREGATE  |LOCAL|
                                     nested tuple source
                                     -- NESTED_TUPLE_SOURCE  |LOCAL|
                                }
-                        -- EXTERNAL_GROUP_BY[$$26]  |PARTITIONED|
+                        -- EXTERNAL_GROUP_BY[$$10]  |PARTITIONED|
                           exchange 
-                          -- HASH_PARTITION_EXCHANGE [$$26]  |PARTITIONED|
-                            group by ([$$26 := %0->$$10]) decor ([]) {
-                                      aggregate [$$25] <- [function-call: hive:count(PARTIAL1), Args:[%0->$$1]]
-                                      -- AGGREGATE  |LOCAL|
-                                        nested tuple source
-                                        -- NESTED_TUPLE_SOURCE  |LOCAL|
-                                   }
-                            -- EXTERNAL_GROUP_BY[$$10]  |LOCAL|
+                          -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
+                            project ([$$10, $$1])
+                            -- STREAM_PROJECT  |PARTITIONED|
                               exchange 
                               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                                project ([$$10, $$1])
-                                -- STREAM_PROJECT  |PARTITIONED|
+                                left outer join (function-call: algebricks:eq, Args:[%0->$$2, %0->$$10])
+                                -- HYBRID_HASH_JOIN [$$10][$$2]  |PARTITIONED|
                                   exchange 
-                                  -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                                    left outer join (function-call: algebricks:eq, Args:[%0->$$2, %0->$$10])
-                                    -- HYBRID_HASH_JOIN [$$10][$$2]  |PARTITIONED|
+                                  -- HASH_PARTITION_EXCHANGE [$$10]  |PARTITIONED|
+                                    data-scan [$$10]<-[$$10, $$11, $$12, $$13, $$14, $$15, $$16, $$17] <- default.customer
+                                    -- DATASOURCE_SCAN  |PARTITIONED|
                                       exchange 
-                                      -- HASH_PARTITION_EXCHANGE [$$10]  |PARTITIONED|
-                                        data-scan [$$10]<-[$$10, $$11, $$12, $$13, $$14, $$15, $$16, $$17] <- default.customer
-                                        -- DATASOURCE_SCAN  |PARTITIONED|
-                                          exchange 
-                                          -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                                            empty-tuple-source
-                                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
-                                      exchange 
-                                      -- HASH_PARTITION_EXCHANGE [$$2]  |PARTITIONED|
-                                        project ([$$2, $$1])
-                                        -- STREAM_PROJECT  |PARTITIONED|
-                                          select (function-call: algebricks:not, Args:[function-call: hive:org.apache.hadoop.hive.ql.udf.UDFLike, Args:[%0->$$9, %special%requests%]])
-                                          -- STREAM_SELECT  |PARTITIONED|
+                                      -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
+                                        empty-tuple-source
+                                        -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                  exchange 
+                                  -- HASH_PARTITION_EXCHANGE [$$2]  |PARTITIONED|
+                                    project ([$$2, $$1])
+                                    -- STREAM_PROJECT  |PARTITIONED|
+                                      select (function-call: algebricks:not, Args:[function-call: hive:org.apache.hadoop.hive.ql.udf.UDFLike, Args:[%0->$$9, %special%requests%]])
+                                      -- STREAM_SELECT  |PARTITIONED|
+                                        exchange 
+                                        -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
+                                          data-scan [$$1, $$2, $$9]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7, $$8, $$9] <- default.orders
+                                          -- DATASOURCE_SCAN  |PARTITIONED|
                                             exchange 
                                             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                                              data-scan [$$1, $$2, $$9]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7, $$8, $$9] <- default.orders
-                                              -- DATASOURCE_SCAN  |PARTITIONED|
-                                                exchange 
-                                                -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                                                  empty-tuple-source
-                                                  -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                              empty-tuple-source
+                                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q14_promotion_effect.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q14_promotion_effect.plan
index 21b90bd..e6d1c1d 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q14_promotion_effect.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q14_promotion_effect.plan
@@ -21,7 +21,7 @@
                         nested tuple source
                         -- NESTED_TUPLE_SOURCE  |LOCAL|
                    }
-            -- EXTERNAL_GROUP_BY[]  |LOCAL|
+            -- EXTERNAL_GROUP_BY[]  |PARTITIONED|
               exchange 
               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 project ([$$5, $$15, $$16])
@@ -34,7 +34,7 @@
                       -- HASH_PARTITION_EXCHANGE [$$11]  |PARTITIONED|
                         project ([$$11, $$15, $$16])
                         -- STREAM_PROJECT  |PARTITIONED|
-                          select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$20, 1995-10-01], function-call: algebricks:ge, Args:[%0->$$20, 1995-09-01], function-call: algebricks:lt, Args:[%0->$$20, 1995-10-01]])
+                          select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$20, 1995-09-01], function-call: algebricks:lt, Args:[%0->$$20, 1995-10-01]])
                           -- STREAM_SELECT  |PARTITIONED|
                             exchange 
                             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -51,4 +51,4 @@
                           exchange 
                           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                             empty-tuple-source
-                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q15_top_supplier.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q15_top_supplier.plan
index a5bd27a..c61ed37 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q15_top_supplier.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q15_top_supplier.plan
@@ -19,12 +19,12 @@
                       nested tuple source
                       -- NESTED_TUPLE_SOURCE  |LOCAL|
                  }
-          -- EXTERNAL_GROUP_BY[$$3]  |LOCAL|
+          -- EXTERNAL_GROUP_BY[$$3]  |PARTITIONED|
             exchange 
             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
               project ([$$3, $$6, $$7])
               -- STREAM_PROJECT  |PARTITIONED|
-                select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$11, 1996-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1996-04-01], function-call: algebricks:ge, Args:[%0->$$11, 1996-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1996-04-01]])
+                select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$11, 1996-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1996-04-01]])
                 -- STREAM_SELECT  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -53,7 +53,7 @@
                     nested tuple source
                     -- NESTED_TUPLE_SOURCE  |LOCAL|
                }
-        -- PRE_CLUSTERED_GROUP_BY[]  |LOCAL|
+        -- PRE_CLUSTERED_GROUP_BY[]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             data-scan [$$2]<-[$$1, $$2] <- default.revenue
@@ -67,7 +67,7 @@
   exchange 
   -- SORT_MERGE_EXCHANGE [$$2(ASC) ]  |PARTITIONED|
     order (ASC, %0->$$2) 
-    -- STABLE_SORT [$$2(ASC)]  |LOCAL|
+    -- STABLE_SORT [$$2(ASC)]  |PARTITIONED|
       exchange 
       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         project ([$$2, $$3, $$4, $$6, $$10])
@@ -107,4 +107,4 @@
                           exchange 
                           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                             empty-tuple-source
-                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q16_parts_supplier_relationship.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q16_parts_supplier_relationship.plan
index 9835346..c986cb4 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q16_parts_supplier_relationship.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q16_parts_supplier_relationship.plan
@@ -38,7 +38,7 @@
               -- HYBRID_HASH_JOIN [$$2][$$11]  |PARTITIONED|
                 exchange 
                 -- HASH_PARTITION_EXCHANGE [$$2]  |PARTITIONED|
-                  select (function-call: algebricks:and, Args:[function-call: algebricks:not, Args:[function-call: hive:org.apache.hadoop.hive.ql.udf.UDFLike, Args:[%0->$$6, MEDIUM POLISHED%]], function-call: algebricks:neq, Args:[%0->$$5, Brand#45], function-call: algebricks:not, Args:[function-call: hive:org.apache.hadoop.hive.ql.udf.UDFLike, Args:[%0->$$6, MEDIUM POLISHED%]]])
+                  select (function-call: algebricks:and, Args:[function-call: algebricks:neq, Args:[%0->$$5, Brand#45], function-call: algebricks:not, Args:[function-call: hive:org.apache.hadoop.hive.ql.udf.UDFLike, Args:[%0->$$6, MEDIUM POLISHED%]]])
                   -- STREAM_SELECT  |PARTITIONED|
                     exchange 
                     -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -65,7 +65,7 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$13(DESC), $$10(ASC), $$11(ASC), $$12(ASC) ]  |PARTITIONED|
         order (DESC, %0->$$13) (ASC, %0->$$10) (ASC, %0->$$11) (ASC, %0->$$12) 
-        -- STABLE_SORT [$$13(DESC), $$10(ASC), $$11(ASC), $$12(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$13(DESC), $$10(ASC), $$11(ASC), $$12(ASC)]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             group by ([$$10 := %0->$$5; $$11 := %0->$$6; $$12 := %0->$$7]) decor ([]) {
@@ -95,4 +95,4 @@
                           exchange 
                           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                             empty-tuple-source
-                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q17_small_quantity_order_revenue.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q17_small_quantity_order_revenue.plan
index a827007..8a75f64 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q17_small_quantity_order_revenue.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q17_small_quantity_order_revenue.plan
@@ -21,7 +21,7 @@
                         nested tuple source
                         -- NESTED_TUPLE_SOURCE  |LOCAL|
                    }
-            -- EXTERNAL_GROUP_BY[$$2]  |LOCAL|
+            -- EXTERNAL_GROUP_BY[$$2]  |PARTITIONED|
               exchange 
               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 data-scan [$$2, $$5]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7, $$8, $$9, $$10, $$11, $$12, $$13, $$14, $$15, $$16] <- default.lineitem
@@ -53,13 +53,13 @@
                         nested tuple source
                         -- NESTED_TUPLE_SOURCE  |LOCAL|
                    }
-            -- EXTERNAL_GROUP_BY[]  |LOCAL|
+            -- EXTERNAL_GROUP_BY[]  |PARTITIONED|
               exchange 
               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 project ([$$17])
                 -- STREAM_PROJECT  |PARTITIONED|
                   select (function-call: algebricks:lt, Args:[%0->$$16, %0->$$2])
-                  -- STREAM_SELECT  |UNPARTITIONED|
+                  -- STREAM_SELECT  |PARTITIONED|
                     exchange 
                     -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                       join (function-call: algebricks:eq, Args:[%0->$$13, %0->$$1])
@@ -84,7 +84,7 @@
                                 -- HASH_PARTITION_EXCHANGE [$$3]  |PARTITIONED|
                                   project ([$$3])
                                   -- STREAM_PROJECT  |PARTITIONED|
-                                    select (function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$9, MED BOX], function-call: algebricks:eq, Args:[%0->$$6, Brand#23], function-call: algebricks:eq, Args:[%0->$$9, MED BOX]])
+                                    select (function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$6, Brand#23], function-call: algebricks:eq, Args:[%0->$$9, MED BOX]])
                                     -- STREAM_SELECT  |PARTITIONED|
                                       exchange 
                                       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -101,4 +101,4 @@
                             exchange 
                             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                               empty-tuple-source
-                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q18_large_volume_customer.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q18_large_volume_customer.plan
index ea47ea0..eb78f1d 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q18_large_volume_customer.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q18_large_volume_customer.plan
@@ -19,7 +19,7 @@
                       nested tuple source
                       -- NESTED_TUPLE_SOURCE  |LOCAL|
                  }
-          -- EXTERNAL_GROUP_BY[$$1]  |LOCAL|
+          -- EXTERNAL_GROUP_BY[$$1]  |PARTITIONED|
             exchange 
             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
               data-scan [$$1, $$5]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7, $$8, $$9, $$10, $$11, $$12, $$13, $$14, $$15, $$16] <- default.lineitem
@@ -29,7 +29,7 @@
                   empty-tuple-source
                   -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
 write [%0->$$36, %0->$$37, %0->$$38, %0->$$39, %0->$$40, %0->$$41]
--- SINK_WRITE  |UNPARTITIONED|
+-- SINK_WRITE  |PARTITIONED|
   project ([$$36, $$37, $$38, $$39, $$40, $$41])
   -- STREAM_PROJECT  |PARTITIONED|
     limit 100
@@ -39,11 +39,11 @@
         exchange 
         -- SORT_MERGE_EXCHANGE [$$40(DESC), $$39(ASC) ]  |PARTITIONED|
           limit 100
-          -- STREAM_LIMIT  |LOCAL|
+          -- STREAM_LIMIT  |PARTITIONED|
             exchange 
-            -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+            -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
               order (DESC, %0->$$40) (ASC, %0->$$39) 
-              -- STABLE_SORT [$$40(DESC), $$39(ASC)]  |LOCAL|
+              -- STABLE_SORT [$$40(DESC), $$39(ASC)]  |PARTITIONED|
                 exchange 
                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                   group by ([$$36 := %0->$$44; $$37 := %0->$$45; $$38 := %0->$$46; $$39 := %0->$$47; $$40 := %0->$$48]) decor ([]) {
@@ -61,7 +61,7 @@
                                   nested tuple source
                                   -- NESTED_TUPLE_SOURCE  |LOCAL|
                              }
-                      -- EXTERNAL_GROUP_BY[$$20, $$19, $$27, $$31, $$30]  |LOCAL|
+                      -- EXTERNAL_GROUP_BY[$$20, $$19, $$27, $$31, $$30]  |PARTITIONED|
                         exchange 
                         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                           project ([$$19, $$20, $$27, $$30, $$31, $$7])
@@ -90,7 +90,7 @@
                                         -- HASH_PARTITION_EXCHANGE [$$1]  |PARTITIONED|
                                           project ([$$1])
                                           -- STREAM_PROJECT  |PARTITIONED|
-                                            select (function-call: algebricks:gt, Args:[%0->$$2, 300])
+                                            select (function-call: algebricks:gt, Args:[%0->$$2, 300.0])
                                             -- STREAM_SELECT  |PARTITIONED|
                                               exchange 
                                               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -123,4 +123,4 @@
                                             exchange 
                                             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                               empty-tuple-source
-                                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q19_discounted_revenue.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q19_discounted_revenue.plan
index 1827729..9e97b7a 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q19_discounted_revenue.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q19_discounted_revenue.plan
@@ -17,13 +17,13 @@
                     nested tuple source
                     -- NESTED_TUPLE_SOURCE  |LOCAL|
                }
-        -- EXTERNAL_GROUP_BY[]  |LOCAL|
+        -- EXTERNAL_GROUP_BY[]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             project ([$$15, $$16])
             -- STREAM_PROJECT  |PARTITIONED|
-              select (function-call: algebricks:or, Args:[function-call: algebricks:or, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$4, Brand#12], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$7, SM CASE||SM BOX||SM PACK||SM PKG]], function-call: algebricks:ge, Args:[%0->$$14, 1]], function-call: algebricks:le, Args:[%0->$$14, 11]], function-call: algebricks:ge, Args:[%0->$$6, 1]], function-call: algebricks:le, Args:[%0->$$6, 5]], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$24, AIR||AIR REG]], function-call: algebricks:eq, Args:[%0->$$23, DELIVER IN PERSON]], function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$4, Brand#23], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$7, MED BAG||MED BOX||MED PKG||MED PACK]], function-call: algebricks:ge, Args:[%0->$$14, 10]], function-call: algebricks:le, Args:[%0->$$14, 20]], function-call: algebricks:ge, Args:[%0->$$6, 1]], function-call: algebricks:le, Args:[%0->$$6, 10]], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$24, AIR||AIR REG]], function-call: algebricks:eq, Args:[%0->$$23, DELIVER IN PERSON]]], function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$4, Brand#34], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$7, LG CASE||LG BOX||LG PACK||LG PKG]], function-call: algebricks:ge, Args:[%0->$$14, 20]], function-call: algebricks:le, Args:[%0->$$14, 30]], function-call: algebricks:ge, Args:[%0->$$6, 1]], function-call: algebricks:le, Args:[%0->$$6, 15]], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$24, AIR||AIR REG]], function-call: algebricks:eq, Args:[%0->$$23, DELIVER IN PERSON]]])
-              -- STREAM_SELECT  |UNPARTITIONED|
+              select (function-call: algebricks:or, Args:[function-call: algebricks:or, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$4, Brand#12], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$7, SM CASE||SM BOX||SM PACK||SM PKG]], function-call: algebricks:ge, Args:[%0->$$14, 1.0]], function-call: algebricks:le, Args:[%0->$$14, 11.0]], function-call: algebricks:ge, Args:[%0->$$6, 1]], function-call: algebricks:le, Args:[%0->$$6, 5]], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$24, AIR||AIR REG]], function-call: algebricks:eq, Args:[%0->$$23, DELIVER IN PERSON]], function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$4, Brand#23], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$7, MED BAG||MED BOX||MED PKG||MED PACK]], function-call: algebricks:ge, Args:[%0->$$14, 10.0]], function-call: algebricks:le, Args:[%0->$$14, 20.0]], function-call: algebricks:ge, Args:[%0->$$6, 1]], function-call: algebricks:le, Args:[%0->$$6, 10]], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$24, AIR||AIR REG]], function-call: algebricks:eq, Args:[%0->$$23, DELIVER IN PERSON]]], function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$4, Brand#34], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$7, LG CASE||LG BOX||LG PACK||LG PKG]], function-call: algebricks:ge, Args:[%0->$$14, 20.0]], function-call: algebricks:le, Args:[%0->$$14, 30.0]], function-call: algebricks:ge, Args:[%0->$$6, 1]], function-call: algebricks:le, Args:[%0->$$6, 15]], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFRegExp, Args:[%0->$$24, AIR||AIR REG]], function-call: algebricks:eq, Args:[%0->$$23, DELIVER IN PERSON]]])
+              -- STREAM_SELECT  |PARTITIONED|
                 exchange 
                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                   join (function-call: algebricks:eq, Args:[%0->$$11, %0->$$1])
@@ -43,4 +43,4 @@
                         exchange 
                         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                           empty-tuple-source
-                          -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                          -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q1_pricing_summary_report.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q1_pricing_summary_report.plan
index 0e9c90f..de964ac 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q1_pricing_summary_report.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q1_pricing_summary_report.plan
@@ -7,7 +7,7 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$17(ASC), $$18(ASC) ]  |PARTITIONED|
         order (ASC, %0->$$17) (ASC, %0->$$18) 
-        -- STABLE_SORT [$$17(ASC), $$18(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$17(ASC), $$18(ASC)]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             group by ([$$17 := %0->$$37; $$18 := %0->$$38]) decor ([]) {
@@ -25,7 +25,7 @@
                             nested tuple source
                             -- NESTED_TUPLE_SOURCE  |LOCAL|
                        }
-                -- EXTERNAL_GROUP_BY[$$9, $$10]  |LOCAL|
+                -- EXTERNAL_GROUP_BY[$$9, $$10]  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     project ([$$9, $$10, $$5, $$6, $$7, $$8])
@@ -39,4 +39,4 @@
                             exchange 
                             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                               empty-tuple-source
-                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q20_potential_part_promotion.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q20_potential_part_promotion.plan
index eddfca5..ded599c 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q20_potential_part_promotion.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q20_potential_part_promotion.plan
@@ -5,9 +5,9 @@
     distinct ([%0->$$1])
     -- PRE_SORTED_DISTINCT_BY  |PARTITIONED|
       exchange 
-      -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+      -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         order (ASC, %0->$$1) 
-        -- STABLE_SORT [$$1(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$1(ASC)]  |PARTITIONED|
           exchange 
           -- HASH_PARTITION_EXCHANGE [$$1]  |PARTITIONED|
             project ([$$1])
@@ -45,12 +45,12 @@
                         nested tuple source
                         -- NESTED_TUPLE_SOURCE  |LOCAL|
                    }
-            -- EXTERNAL_GROUP_BY[$$2, $$3]  |LOCAL|
+            -- EXTERNAL_GROUP_BY[$$2, $$3]  |PARTITIONED|
               exchange 
               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 project ([$$2, $$3, $$5])
                 -- STREAM_PROJECT  |PARTITIONED|
-                  select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$11, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1995-01-01], function-call: algebricks:ge, Args:[%0->$$11, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1995-01-01]])
+                  select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$11, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1995-01-01]])
                   -- STREAM_SELECT  |PARTITIONED|
                     exchange 
                     -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -107,9 +107,9 @@
     distinct ([%0->$$1])
     -- PRE_SORTED_DISTINCT_BY  |PARTITIONED|
       exchange 
-      -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+      -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         order (ASC, %0->$$1) 
-        -- STABLE_SORT [$$1(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$1(ASC)]  |PARTITIONED|
           exchange 
           -- HASH_PARTITION_EXCHANGE [$$1]  |PARTITIONED|
             project ([$$1])
@@ -129,7 +129,7 @@
   exchange 
   -- SORT_MERGE_EXCHANGE [$$3(ASC) ]  |PARTITIONED|
     order (ASC, %0->$$3) 
-    -- STABLE_SORT [$$3(ASC)]  |LOCAL|
+    -- STABLE_SORT [$$3(ASC)]  |PARTITIONED|
       exchange 
       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         project ([$$3, $$4])
@@ -175,4 +175,4 @@
                           exchange 
                           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                             empty-tuple-source
-                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q21_suppliers_who_kept_orders_waiting.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q21_suppliers_who_kept_orders_waiting.plan
index cc47cf3..a22bf53 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q21_suppliers_who_kept_orders_waiting.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q21_suppliers_who_kept_orders_waiting.plan
@@ -23,9 +23,9 @@
                    }
             -- PRE_CLUSTERED_GROUP_BY[$$1, $$3]  |PARTITIONED|
               exchange 
-              -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+              -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 order (ASC, %0->$$1) (ASC, %0->$$3) 
-                -- STABLE_SORT [$$1(ASC), $$3(ASC)]  |LOCAL|
+                -- STABLE_SORT [$$1(ASC), $$3(ASC)]  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     data-scan [$$1, $$3]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7, $$8, $$9, $$10, $$11, $$12, $$13, $$14, $$15, $$16] <- default.lineitem
@@ -59,9 +59,9 @@
                    }
             -- PRE_CLUSTERED_GROUP_BY[$$1, $$3]  |PARTITIONED|
               exchange 
-              -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+              -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 order (ASC, %0->$$1) (ASC, %0->$$3) 
-                -- STABLE_SORT [$$1(ASC), $$3(ASC)]  |LOCAL|
+                -- STABLE_SORT [$$1(ASC), $$3(ASC)]  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     project ([$$1, $$3])
@@ -89,11 +89,11 @@
           exchange 
           -- SORT_MERGE_EXCHANGE [$$44(DESC), $$43(ASC) ]  |PARTITIONED|
             limit 100
-            -- STREAM_LIMIT  |LOCAL|
+            -- STREAM_LIMIT  |PARTITIONED|
               exchange 
-              -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+              -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 order (DESC, %0->$$44) (ASC, %0->$$43) 
-                -- STABLE_SORT [$$44(DESC), $$43(ASC)]  |LOCAL|
+                -- STABLE_SORT [$$44(DESC), $$43(ASC)]  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     group by ([$$43 := %0->$$48]) decor ([]) {
@@ -111,7 +111,7 @@
                                     nested tuple source
                                     -- NESTED_TUPLE_SOURCE  |LOCAL|
                                }
-                        -- EXTERNAL_GROUP_BY[$$37]  |LOCAL|
+                        -- EXTERNAL_GROUP_BY[$$37]  |PARTITIONED|
                           exchange 
                           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                             project ([$$37])
@@ -127,7 +127,7 @@
                                       project ([$$37, $$4, $$18])
                                       -- STREAM_PROJECT  |PARTITIONED|
                                         select (function-call: algebricks:or, Args:[function-call: algebricks:gt, Args:[%0->$$5, 1], function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$5, 1], function-call: algebricks:neq, Args:[%0->$$18, %0->$$6]]])
-                                        -- STREAM_SELECT  |UNPARTITIONED|
+                                        -- STREAM_SELECT  |PARTITIONED|
                                           exchange 
                                           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                             join (function-call: algebricks:eq, Args:[%0->$$16, %0->$$4])
@@ -150,9 +150,9 @@
                                                             -- HYBRID_HASH_JOIN [$$18][$$36]  |PARTITIONED|
                                                               exchange 
                                                               -- HASH_PARTITION_EXCHANGE [$$18]  |PARTITIONED|
-                                                                project ([$$16, $$18])
+                                                                project ([$$18, $$16])
                                                                 -- STREAM_PROJECT  |PARTITIONED|
-                                                                  select (function-call: algebricks:and, Args:[function-call: algebricks:gt, Args:[%0->$$28, %0->$$27], function-call: algebricks:gt, Args:[%0->$$28, %0->$$27]])
+                                                                  select (function-call: algebricks:gt, Args:[%0->$$28, %0->$$27])
                                                                   -- STREAM_SELECT  |PARTITIONED|
                                                                     exchange 
                                                                     -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -221,4 +221,4 @@
                                         exchange 
                                         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                           empty-tuple-source
-                                          -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                          -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q22_global_sales_opportunity.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q22_global_sales_opportunity.plan
index 591576b..c5897f7 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q22_global_sales_opportunity.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q22_global_sales_opportunity.plan
@@ -33,7 +33,7 @@
                     nested tuple source
                     -- NESTED_TUPLE_SOURCE  |LOCAL|
                }
-        -- EXTERNAL_GROUP_BY[]  |LOCAL|
+        -- EXTERNAL_GROUP_BY[]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             select (function-call: algebricks:gt, Args:[%0->$$1, 0.0])
@@ -53,9 +53,9 @@
     distinct ([%0->$$2])
     -- PRE_SORTED_DISTINCT_BY  |PARTITIONED|
       exchange 
-      -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+      -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         order (ASC, %0->$$2) 
-        -- STABLE_SORT [$$2(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$2(ASC)]  |PARTITIONED|
           exchange 
           -- HASH_PARTITION_EXCHANGE [$$2]  |PARTITIONED|
             data-scan [$$2]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7, $$8, $$9] <- default.orders
@@ -73,7 +73,7 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$6(ASC) ]  |PARTITIONED|
         order (ASC, %0->$$6) 
-        -- STABLE_SORT [$$6(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$6(ASC)]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             group by ([$$6 := %0->$$13]) decor ([]) {
@@ -91,7 +91,7 @@
                             nested tuple source
                             -- NESTED_TUPLE_SOURCE  |LOCAL|
                        }
-                -- EXTERNAL_GROUP_BY[$$5]  |LOCAL|
+                -- EXTERNAL_GROUP_BY[$$5]  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     project ([$$5, $$3])
@@ -133,4 +133,4 @@
                               exchange 
                               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                 empty-tuple-source
-                                -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q2_minimum_cost_supplier.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q2_minimum_cost_supplier.plan
index 151f34d..6138f7a 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q2_minimum_cost_supplier.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q2_minimum_cost_supplier.plan
@@ -10,7 +10,7 @@
         -- HASH_PARTITION_EXCHANGE [$$1]  |PARTITIONED|
           project ([$$1, $$3])
           -- STREAM_PROJECT  |PARTITIONED|
-            select (function-call: algebricks:and, Args:[function-call: hive:org.apache.hadoop.hive.ql.udf.UDFLike, Args:[%0->$$5, %BRASS], function-call: algebricks:eq, Args:[%0->$$6, 15], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFLike, Args:[%0->$$5, %BRASS]])
+            select (function-call: algebricks:and, Args:[function-call: algebricks:eq, Args:[%0->$$6, 15], function-call: hive:org.apache.hadoop.hive.ql.udf.UDFLike, Args:[%0->$$5, %BRASS]])
             -- STREAM_SELECT  |PARTITIONED|
               exchange 
               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -103,11 +103,11 @@
                       nested tuple source
                       -- NESTED_TUPLE_SOURCE  |LOCAL|
                  }
-          -- PRE_CLUSTERED_GROUP_BY[$$4]  |LOCAL|
+          -- PRE_CLUSTERED_GROUP_BY[$$4]  |PARTITIONED|
             exchange 
-            -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+            -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
               order (ASC, %0->$$4) 
-              -- STABLE_SORT [$$4(ASC)]  |LOCAL|
+              -- STABLE_SORT [$$4(ASC)]  |PARTITIONED|
                 exchange 
                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                   data-scan [$$4, $$5]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7, $$8, $$9] <- default.q2_minimum_cost_supplier_tmp1
@@ -125,11 +125,11 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$3(DESC), $$5(ASC), $$4(ASC), $$6(ASC) ]  |PARTITIONED|
         limit 100
-        -- STREAM_LIMIT  |LOCAL|
+        -- STREAM_LIMIT  |PARTITIONED|
           exchange 
-          -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+          -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             order (DESC, %0->$$3) (ASC, %0->$$5) (ASC, %0->$$4) (ASC, %0->$$6) 
-            -- STABLE_SORT [$$3(DESC), $$5(ASC), $$4(ASC), $$6(ASC)]  |LOCAL|
+            -- STABLE_SORT [$$3(DESC), $$5(ASC), $$4(ASC), $$6(ASC)]  |PARTITIONED|
               exchange 
               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 project ([$$3, $$4, $$5, $$6, $$8, $$9, $$10, $$11])
@@ -153,4 +153,4 @@
                           exchange 
                           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                             empty-tuple-source
-                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q3_shipping_priority.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q3_shipping_priority.plan
index a1b8e42..31c4210 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q3_shipping_priority.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q3_shipping_priority.plan
@@ -7,11 +7,11 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$34(DESC) ]  |PARTITIONED|
         limit 10
-        -- STREAM_LIMIT  |LOCAL|
+        -- STREAM_LIMIT  |PARTITIONED|
           exchange 
-          -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+          -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             order (DESC, %0->$$34) 
-            -- STABLE_SORT [$$34(DESC)]  |LOCAL|
+            -- STABLE_SORT [$$34(DESC)]  |PARTITIONED|
               exchange 
               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                 project ([$$1, $$34, $$29, $$32])
@@ -67,4 +67,4 @@
                                             exchange 
                                             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                               empty-tuple-source
-                                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q4_order_priority.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q4_order_priority.plan
index 435fd7c..be5a66a 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q4_order_priority.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q4_order_priority.plan
@@ -5,9 +5,9 @@
     distinct ([%0->$$1])
     -- PRE_SORTED_DISTINCT_BY  |PARTITIONED|
       exchange 
-      -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+      -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         order (ASC, %0->$$1) 
-        -- STABLE_SORT [$$1(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$1(ASC)]  |PARTITIONED|
           exchange 
           -- HASH_PARTITION_EXCHANGE [$$1]  |PARTITIONED|
             project ([$$1])
@@ -31,7 +31,7 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$11(ASC) ]  |PARTITIONED|
         order (ASC, %0->$$11) 
-        -- STABLE_SORT [$$11(ASC)]  |LOCAL|
+        -- STABLE_SORT [$$11(ASC)]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             group by ([$$11 := %0->$$16]) decor ([]) {
@@ -49,7 +49,7 @@
                             nested tuple source
                             -- NESTED_TUPLE_SOURCE  |LOCAL|
                        }
-                -- EXTERNAL_GROUP_BY[$$7]  |LOCAL|
+                -- EXTERNAL_GROUP_BY[$$7]  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                     project ([$$7])
@@ -70,7 +70,7 @@
                           -- HASH_PARTITION_EXCHANGE [$$2]  |PARTITIONED|
                             project ([$$2, $$7])
                             -- STREAM_PROJECT  |PARTITIONED|
-                              select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$6, 1993-10-01], function-call: algebricks:ge, Args:[%0->$$6, 1993-07-01], function-call: algebricks:lt, Args:[%0->$$6, 1993-10-01]])
+                              select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$6, 1993-07-01], function-call: algebricks:lt, Args:[%0->$$6, 1993-10-01]])
                               -- STREAM_SELECT  |PARTITIONED|
                                 exchange 
                                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -79,4 +79,4 @@
                                     exchange 
                                     -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                       empty-tuple-source
-                                      -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                      -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q5_local_supplier_volume.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q5_local_supplier_volume.plan
index 177d24c..383e550 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q5_local_supplier_volume.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q5_local_supplier_volume.plan
@@ -5,7 +5,7 @@
     exchange 
     -- SORT_MERGE_EXCHANGE [$$49(DESC) ]  |PARTITIONED|
       order (DESC, %0->$$49) 
-      -- STABLE_SORT [$$49(DESC)]  |LOCAL|
+      -- STABLE_SORT [$$49(DESC)]  |PARTITIONED|
         exchange 
         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
           group by ([$$48 := %0->$$52]) decor ([]) {
@@ -23,7 +23,7 @@
                           nested tuple source
                           -- NESTED_TUPLE_SOURCE  |LOCAL|
                      }
-              -- EXTERNAL_GROUP_BY[$$42]  |LOCAL|
+              -- EXTERNAL_GROUP_BY[$$42]  |PARTITIONED|
                 exchange 
                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                   project ([$$42, $$23, $$24])
@@ -106,7 +106,7 @@
                                 -- HASH_PARTITION_EXCHANGE [$$9]  |PARTITIONED|
                                   project ([$$9, $$10])
                                   -- STREAM_PROJECT  |PARTITIONED|
-                                    select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$13, 1995-01-01], function-call: algebricks:ge, Args:[%0->$$13, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$13, 1995-01-01]])
+                                    select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$13, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$13, 1995-01-01]])
                                     -- STREAM_SELECT  |PARTITIONED|
                                       exchange 
                                       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -123,4 +123,4 @@
                             exchange 
                             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                               empty-tuple-source
-                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q6_forecast_revenue_change.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q6_forecast_revenue_change.plan
index cd9ffcd..aac9a5b 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q6_forecast_revenue_change.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q6_forecast_revenue_change.plan
@@ -17,12 +17,12 @@
                     nested tuple source
                     -- NESTED_TUPLE_SOURCE  |LOCAL|
                }
-        -- EXTERNAL_GROUP_BY[]  |LOCAL|
+        -- EXTERNAL_GROUP_BY[]  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             project ([$$6, $$7])
             -- STREAM_PROJECT  |PARTITIONED|
-              select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$11, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1995-01-01], function-call: algebricks:ge, Args:[%0->$$7, 0.05], function-call: algebricks:le, Args:[%0->$$7, 0.07], function-call: algebricks:lt, Args:[%0->$$5, 24], function-call: algebricks:ge, Args:[%0->$$11, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1995-01-01], function-call: algebricks:ge, Args:[%0->$$7, 0.05], function-call: algebricks:le, Args:[%0->$$7, 0.07], function-call: algebricks:lt, Args:[%0->$$5, 24]])
+              select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$11, 1994-01-01], function-call: algebricks:lt, Args:[%0->$$11, 1995-01-01], function-call: algebricks:ge, Args:[%0->$$7, 0.05], function-call: algebricks:le, Args:[%0->$$7, 0.07], function-call: algebricks:lt, Args:[%0->$$5, 24.0]])
               -- STREAM_SELECT  |PARTITIONED|
                 exchange 
                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -31,4 +31,4 @@
                     exchange 
                     -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                       empty-tuple-source
-                      -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                      -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q7_volume_shipping.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q7_volume_shipping.plan
index 39f8301..c1d5b26 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q7_volume_shipping.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q7_volume_shipping.plan
@@ -5,9 +5,9 @@
     union ($$6, $$10, $$17) ($$2, $$14, $$18) ($$5, $$9, $$19) ($$1, $$13, $$20)
     -- UNION_ALL  |PARTITIONED|
       exchange 
-      -- ONE_TO_ONE_EXCHANGE  |UNPARTITIONED|
+      -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         project ([$$6, $$2, $$5, $$1])
-        -- STREAM_PROJECT  |UNPARTITIONED|
+        -- STREAM_PROJECT  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             join (true)
@@ -31,9 +31,9 @@
                   select (function-call: algebricks:eq, Args:[%0->$$6, FRANCE])
                   -- STREAM_SELECT  |PARTITIONED|
                     project ([$$5, $$6])
-                    -- STREAM_PROJECT  |UNPARTITIONED|
+                    -- STREAM_PROJECT  |PARTITIONED|
                       assign [$$5, $$6] <- [%0->$$9, %0->$$10]
-                      -- ASSIGN  |UNPARTITIONED|
+                      -- ASSIGN  |PARTITIONED|
                         exchange 
                         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                           replicate 
@@ -47,9 +47,9 @@
                                   empty-tuple-source
                                   -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
       exchange 
-      -- ONE_TO_ONE_EXCHANGE  |UNPARTITIONED|
+      -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         project ([$$10, $$14, $$9, $$13])
-        -- STREAM_PROJECT  |UNPARTITIONED|
+        -- STREAM_PROJECT  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             join (true)
@@ -91,7 +91,7 @@
     exchange 
     -- SORT_MERGE_EXCHANGE [$$47(ASC), $$48(ASC), $$49(ASC) ]  |PARTITIONED|
       order (ASC, %0->$$47) (ASC, %0->$$48) (ASC, %0->$$49) 
-      -- STABLE_SORT [$$47(ASC), $$48(ASC), $$49(ASC)]  |LOCAL|
+      -- STABLE_SORT [$$47(ASC), $$48(ASC), $$49(ASC)]  |PARTITIONED|
         exchange 
         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
           group by ([$$47 := %0->$$53; $$48 := %0->$$54; $$49 := %0->$$55]) decor ([]) {
@@ -109,7 +109,7 @@
                           nested tuple source
                           -- NESTED_TUPLE_SOURCE  |LOCAL|
                      }
-              -- EXTERNAL_GROUP_BY[$$1, $$2, $$45]  |LOCAL|
+              -- EXTERNAL_GROUP_BY[$$1, $$2, $$45]  |PARTITIONED|
                 exchange 
                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                   project ([$$1, $$2, $$45, $$46])
@@ -148,7 +148,7 @@
                                                   -- HYBRID_HASH_JOIN [$$20][$$36]  |PARTITIONED|
                                                     exchange 
                                                     -- HASH_PARTITION_EXCHANGE [$$20]  |PARTITIONED|
-                                                      select (function-call: algebricks:and, Args:[function-call: algebricks:le, Args:[%0->$$30, 1996-12-31], function-call: algebricks:ge, Args:[%0->$$30, 1995-01-01], function-call: algebricks:le, Args:[%0->$$30, 1996-12-31]])
+                                                      select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$30, 1995-01-01], function-call: algebricks:le, Args:[%0->$$30, 1996-12-31]])
                                                       -- STREAM_SELECT  |PARTITIONED|
                                                         exchange 
                                                         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -189,4 +189,4 @@
                                 exchange 
                                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                   empty-tuple-source
-                                  -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                  -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q8_national_market_share.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q8_national_market_share.plan
index b807a24..b9916e2 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q8_national_market_share.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q8_national_market_share.plan
@@ -3,7 +3,7 @@
   exchange 
   -- SORT_MERGE_EXCHANGE [$$63(ASC) ]  |PARTITIONED|
     order (ASC, %0->$$63) 
-    -- STABLE_SORT [$$63(ASC)]  |LOCAL|
+    -- STABLE_SORT [$$63(ASC)]  |PARTITIONED|
       exchange 
       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         project ([$$63, $$66])
@@ -27,7 +27,7 @@
                               nested tuple source
                               -- NESTED_TUPLE_SOURCE  |LOCAL|
                          }
-                  -- EXTERNAL_GROUP_BY[$$61]  |LOCAL|
+                  -- EXTERNAL_GROUP_BY[$$61]  |PARTITIONED|
                     exchange 
                     -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                       project ([$$61, $$62, $$2])
@@ -138,7 +138,7 @@
                                                                 -- HASH_PARTITION_EXCHANGE [$$38]  |PARTITIONED|
                                                                   project ([$$38, $$37, $$41])
                                                                   -- STREAM_PROJECT  |PARTITIONED|
-                                                                    select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$41, 1996-12-31], function-call: algebricks:ge, Args:[%0->$$41, 1995-01-01]])
+                                                                    select (function-call: algebricks:and, Args:[function-call: algebricks:ge, Args:[%0->$$41, 1995-01-01], function-call: algebricks:lt, Args:[%0->$$41, 1996-12-31]])
                                                                     -- STREAM_SELECT  |PARTITIONED|
                                                                       exchange 
                                                                       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
@@ -175,7 +175,7 @@
                                   project ([$$1, $$2])
                                   -- STREAM_PROJECT  |PARTITIONED|
                                     assign [$$1, $$2, $$3, $$4] <- [%0->$$54, %0->$$55, %0->$$56, %0->$$57]
-                                    -- ASSIGN  |UNPARTITIONED|
+                                    -- ASSIGN  |PARTITIONED|
                                       exchange 
                                       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                         replicate 
@@ -187,4 +187,4 @@
                                               exchange 
                                               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                                 empty-tuple-source
-                                                -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                                -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q9_product_type_profit.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q9_product_type_profit.plan
index f57f4a3..ecf4acb 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q9_product_type_profit.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/q9_product_type_profit.plan
@@ -5,7 +5,7 @@
     exchange 
     -- SORT_MERGE_EXCHANGE [$$53(ASC), $$54(DESC) ]  |PARTITIONED|
       order (ASC, %0->$$53) (DESC, %0->$$54) 
-      -- STABLE_SORT [$$53(ASC), $$54(DESC)]  |LOCAL|
+      -- STABLE_SORT [$$53(ASC), $$54(DESC)]  |PARTITIONED|
         exchange 
         -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
           group by ([$$53 := %0->$$58; $$54 := %0->$$59]) decor ([]) {
@@ -23,7 +23,7 @@
                           nested tuple source
                           -- NESTED_TUPLE_SOURCE  |LOCAL|
                      }
-              -- EXTERNAL_GROUP_BY[$$48, $$51]  |LOCAL|
+              -- EXTERNAL_GROUP_BY[$$48, $$51]  |PARTITIONED|
                 exchange 
                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                   project ([$$48, $$51, $$52])
@@ -121,4 +121,4 @@
                                 exchange 
                                 -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                                   empty-tuple-source
-                                  -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                                  -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u1_group_by.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u1_group_by.plan
index 188aa6d..bec1353 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u1_group_by.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u1_group_by.plan
@@ -19,7 +19,7 @@
                       nested tuple source
                       -- NESTED_TUPLE_SOURCE  |LOCAL|
                  }
-          -- EXTERNAL_GROUP_BY[$$9]  |LOCAL|
+          -- EXTERNAL_GROUP_BY[$$9]  |PARTITIONED|
             exchange 
             -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
               project ([$$9, $$5, $$6, $$7, $$8])
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u5_lateral_view.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u5_lateral_view.plan
index 48e624e..2cbea4a 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u5_lateral_view.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u5_lateral_view.plan
@@ -6,7 +6,7 @@
     -- UNNEST  |PARTITIONED|
       exchange 
       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-        data-scan [$$1, $$2, $$3]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7] <- default.supplier
+        data-scan [$$2, $$3, $$1]<-[$$1, $$2, $$3, $$4, $$5, $$6, $$7] <- default.supplier
         -- DATASOURCE_SCAN  |PARTITIONED|
           exchange 
           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u6_limit.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u6_limit.plan
index b5ed12f..6a0b125 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u6_limit.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u6_limit.plan
@@ -7,14 +7,14 @@
       exchange 
       -- SORT_MERGE_EXCHANGE [$$4(ASC) ]  |PARTITIONED|
         limit 4
-        -- STREAM_LIMIT  |LOCAL|
+        -- STREAM_LIMIT  |PARTITIONED|
           exchange 
-          -- ONE_TO_ONE_EXCHANGE  |LOCAL|
+          -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
             order (ASC, %0->$$4) 
-            -- STABLE_SORT [$$4(ASC)]  |LOCAL|
+            -- STABLE_SORT [$$4(ASC)]  |PARTITIONED|
               exchange 
               -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                select (function-call: algebricks:lt, Args:[%0->$$4, 10000])
+                select (function-call: algebricks:lt, Args:[%0->$$4, 10000.0])
                 -- STREAM_SELECT  |PARTITIONED|
                   exchange 
                   -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u7_multi_join.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u7_multi_join.plan
index ab55181..b5f1dc2 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u7_multi_join.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u7_multi_join.plan
@@ -16,37 +16,35 @@
               -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
         exchange 
         -- HASH_PARTITION_EXCHANGE [$$25]  |PARTITIONED|
-          project ([$$32, $$25, $$29, $$28])
+          project ([$$25, $$28, $$29, $$32])
           -- STREAM_PROJECT  |PARTITIONED|
-            project ([$$25, $$17, $$28, $$29, $$32])
-            -- STREAM_PROJECT  |PARTITIONED|
-              exchange 
-              -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                join (function-call: algebricks:eq, Args:[%0->$$26, %0->$$17])
-                -- HYBRID_HASH_JOIN [$$26][$$17]  |PARTITIONED|
-                  exchange 
-                  -- HASH_PARTITION_EXCHANGE [$$26]  |PARTITIONED|
-                    select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$28, 30000], function-call: algebricks:lt, Args:[%0->$$28, 30000]])
+            exchange 
+            -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
+              join (function-call: algebricks:eq, Args:[%0->$$26, %0->$$17])
+              -- HYBRID_HASH_JOIN [$$26][$$17]  |PARTITIONED|
+                exchange 
+                -- HASH_PARTITION_EXCHANGE [$$26]  |PARTITIONED|
+                  select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$28, 30000.0], function-call: algebricks:lt, Args:[%0->$$26, 5]])
+                  -- STREAM_SELECT  |PARTITIONED|
+                    exchange 
+                    -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
+                      data-scan [$$32, $$25, $$26, $$29, $$28]<-[$$25, $$26, $$27, $$28, $$29, $$30, $$31, $$32, $$33] <- default.orders
+                      -- DATASOURCE_SCAN  |PARTITIONED|
+                        exchange 
+                        -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
+                          empty-tuple-source
+                          -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                exchange 
+                -- HASH_PARTITION_EXCHANGE [$$17]  |PARTITIONED|
+                  project ([$$17])
+                  -- STREAM_PROJECT  |PARTITIONED|
+                    select (function-call: algebricks:lt, Args:[%0->$$17, 5])
                     -- STREAM_SELECT  |PARTITIONED|
                       exchange 
                       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                        data-scan [$$32, $$25, $$26, $$29, $$28]<-[$$25, $$26, $$27, $$28, $$29, $$30, $$31, $$32, $$33] <- default.orders
+                        data-scan [$$17]<-[$$17, $$18, $$19, $$20, $$21, $$22, $$23, $$24] <- default.customer
                         -- DATASOURCE_SCAN  |PARTITIONED|
                           exchange 
                           -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
                             empty-tuple-source
-                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
-                  exchange 
-                  -- HASH_PARTITION_EXCHANGE [$$17]  |PARTITIONED|
-                    project ([$$17])
-                    -- STREAM_PROJECT  |PARTITIONED|
-                      select (function-call: algebricks:and, Args:[function-call: algebricks:lt, Args:[%0->$$17, 5], function-call: algebricks:lt, Args:[%0->$$17, 5]])
-                      -- STREAM_SELECT  |PARTITIONED|
-                        exchange 
-                        -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                          data-scan [$$17]<-[$$17, $$18, $$19, $$20, $$21, $$22, $$23, $$24] <- default.customer
-                          -- DATASOURCE_SCAN  |PARTITIONED|
-                            exchange 
-                            -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
-                              empty-tuple-source
-                              -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
+                            -- EMPTY_TUPLE_SOURCE  |PARTITIONED|
\ No newline at end of file
diff --git a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u9_order_by.plan b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u9_order_by.plan
index 7370fcf..344898d 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u9_order_by.plan
+++ b/hivesterix/hivesterix-dist/src/test/resources/optimizerts/results/u9_order_by.plan
@@ -3,7 +3,7 @@
   exchange 
   -- SORT_MERGE_EXCHANGE [$$2(ASC) ]  |PARTITIONED|
     order (ASC, %0->$$2) 
-    -- STABLE_SORT [$$2(ASC)]  |LOCAL|
+    -- STABLE_SORT [$$2(ASC)]  |PARTITIONED|
       exchange 
       -- ONE_TO_ONE_EXCHANGE  |PARTITIONED|
         select (function-call: algebricks:lt, Args:[function-call: hive:org.apache.hadoop.hive.ql.udf.UDFOPMultiply, Args:[%0->$$1, 2], 20])
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/hive/conf/hive-default.xml b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/hive/conf/hive-default.xml
index a4ee677..49cdedf 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/hive/conf/hive-default.xml
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/hive/conf/hive-default.xml
@@ -1,22 +1,66 @@
 <?xml version="1.0"?>
-<!--
- ! Copyright 2009-2013 by The Regents of the University of California
- ! Licensed under the Apache License, Version 2.0 (the "License");
- ! you may not use this file except in compliance with the License.
- ! you may obtain a copy of the License from
- ! 
- !     http://www.apache.org/licenses/LICENSE-2.0
- ! 
- ! Unless required by applicable law or agreed to in writing, software
- ! distributed under the License is distributed on an "AS IS" BASIS,
- ! WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- ! See the License for the specific language governing permissions and
- ! limitations under the License.
- !-->
+<!-- ! Copyright 2009-2013 by The Regents of the University of California 
+	! Licensed under the Apache License, Version 2.0 (the "License"); ! you may 
+	not use this file except in compliance with the License. ! you may obtain 
+	a copy of the License from ! ! http://www.apache.org/licenses/LICENSE-2.0 
+	! ! Unless required by applicable law or agreed to in writing, software ! 
+	distributed under the License is distributed on an "AS IS" BASIS, ! WITHOUT 
+	WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ! See the 
+	License for the specific language governing permissions and ! limitations 
+	under the License. ! -->
 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
 
 <configuration>
 
+	<!-- Hivesterix Execution Parameters -->
+	<property>
+		<name>hive.hyracks.connectorpolicy</name>
+		<value>PIPELINING</value>
+	</property>
+
+	<property>
+		<name>hive.hyracks.parrallelism</name>
+		<value>4</value>
+	</property>
+
+	<property>
+		<name>hive.algebricks.groupby.external</name>
+		<value>true</value>
+	</property>
+
+	<property>
+		<name>hive.algebricks.groupby.external.memory</name>
+		<value>3072</value>
+	</property>
+
+	<property>
+		<name>hive.algebricks.sort.memory</name>
+		<value>3072</value>
+	</property>
+
+	<property>
+		<name>hive.algebricks.framesize</name>
+		<value>768</value>
+	</property>
+
+	<property>
+		<name>hive.auto.convert.join</name>
+		<value>false</value>
+	</property>
+
+	<property>
+		<name>hive.auto.convert.join.noconditionaltask</name>
+		<value>false</value>
+		<description>Whether Hive enable the optimization about converting
+			common join into mapjoin based on the input file
+			size. If this paramater is on, and the sum of size for n-1 of the
+			tables/partitions for a n-way join is smaller than the
+			specified size, the join is directly converted to a mapjoin (there is no
+			conditional task).
+		</description>
+	</property>
+
+
 	<!-- Hive Configuration can either be stored in this file or in the hadoop 
 		configuration files -->
 	<!-- that are implied by Hadoop setup variables. -->
@@ -42,52 +86,6 @@
 	</property>
 
 	<property>
-		<name>hive.hyracks.connectorpolicy</name>
-		<value>SEND_SIDE_MAT_PIPELINING</value>
-	</property>
-
-	<property>
-		<name>hive.hyracks.host</name>
-		<value>127.0.0.1</value>
-	</property>
-
-	<property>
-		<name>hive.hyracks.port</name>
-		<value>13099</value>
-	</property>
-
-	<property>
-		<name>hive.hyracks.app</name>
-		<value>hivesterix</value>
-	</property>
-
-
-	<property>
-		<name>hive.hyracks.parrallelism</name>
-		<value>2</value>
-	</property>
-
-	<property>
-		<name>hive.algebricks.groupby.external</name>
-		<value>true</value>
-	</property>
-
-	<property>
-		<name>hive.algebricks.groupby.external.memory</name>
-		<value>3072</value>
-	</property>
-
-	<property>
-		<name>hive.algebricks.sort.memory</name>
-		<value>3072</value>
-	</property>
-
-	<property>
-		<name>hive.algebricks.framesize</name>
-		<value>768</value>
-	</property>
-
-	<property>
 		<name>hive.exec.reducers.bytes.per.reducer</name>
 		<value>1000000000</value>
 		<description>size per reducer.The default is 1G, i.e if the input size
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/logging.properties b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/logging.properties
index a7d8d9c..f886a44 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/logging.properties
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/logging.properties
@@ -43,7 +43,7 @@
 # Note that the ConsoleHandler also has a separate level
 # setting to limit messages printed to the console.
 
-.level= WARNING
+.level= INFO
 # .level= INFO
 # .level= FINE
 # .level = FINEST
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q10_returned_item.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q10_returned_item.hive
index 3f1214a..bb07665 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q10_returned_item.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q10_returned_item.hive
@@ -13,9 +13,6 @@
 -- create the result table
 create table q10_returned_item (c_custkey int, c_name string, revenue double, c_acctbal string, n_name string, c_address string, c_phone string, c_comment string);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1024000000;
-
 -- the query
 insert overwrite table q10_returned_item
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q12_shipping.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q12_shipping.hive
index 062f7b9..8546365 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q12_shipping.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q12_shipping.hive
@@ -9,9 +9,6 @@
 -- create the result table
 create table q12_shipping(l_shipmode string, high_line_count double, low_line_count double);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1225000000;
-
 -- the query
 insert overwrite table q12_shipping
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q14_promotion_effect.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q14_promotion_effect.hive
index 988f400..4644d23 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q14_promotion_effect.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q14_promotion_effect.hive
@@ -9,9 +9,6 @@
 -- create the result table
 create table q14_promotion_effect(promo_revenue double);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1040000000;
-
 -- the query
 insert overwrite table q14_promotion_effect
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q15_top_supplier.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q15_top_supplier.hive
index 04064ed..8fa333e 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q15_top_supplier.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q15_top_supplier.hive
@@ -14,8 +14,6 @@
 create table q15_top_supplier(s_suppkey int, s_name string, s_address string, s_phone string, total_revenue double);
 
 
-set mapred.min.split.size=536870912;
-
 -- the query
 insert overwrite table revenue
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q18_large_volume_customer.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q18_large_volume_customer.hive
index ac2902c..d1eaacc 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q18_large_volume_customer.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q18_large_volume_customer.hive
@@ -13,9 +13,6 @@
 create table q18_tmp(l_orderkey int, t_sum_quantity double);
 create table q18_large_volume_customer(c_name string, c_custkey int, o_orderkey int, o_orderdate string, o_totalprice double, sum_quantity double);
 
-set mapred.min.split.size=268435456;
-set hive.exec.reducers.bytes.per.reducer=1164000000;
-
 -- the query
 insert overwrite table q18_tmp
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q19_discounted_revenue.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q19_discounted_revenue.hive
index 2002e1e..6badfcf 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q19_discounted_revenue.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q19_discounted_revenue.hive
@@ -9,9 +9,6 @@
 -- create the result table
 create table q19_discounted_revenue(revenue double);
 
-set mapred.min.split.size=268435456;
-set hive.exec.reducers.bytes.per.reducer=1040000000;
-
 -- the query
 insert overwrite table q19_discounted_revenue
 select
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q1_pricing_summary_report.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q1_pricing_summary_report.hive
index a002068..af64a4f 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q1_pricing_summary_report.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q1_pricing_summary_report.hive
@@ -7,8 +7,6 @@
 -- create the target table
 CREATE TABLE q1_pricing_summary_report ( L_RETURNFLAG STRING, L_LINESTATUS STRING, SUM_QTY DOUBLE, SUM_BASE_PRICE DOUBLE, SUM_DISC_PRICE DOUBLE, SUM_CHARGE DOUBLE, AVE_QTY DOUBLE, AVE_PRICE DOUBLE, AVE_DISC DOUBLE, COUNT_ORDER INT);
 
-set mapred.min.split.size=536870912;
-
 -- the query
 INSERT OVERWRITE TABLE q1_pricing_summary_report 
 SELECT 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q20_potential_part_promotion.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q20_potential_part_promotion.hive
index 2bb90ea..32181bf 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q20_potential_part_promotion.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q20_potential_part_promotion.hive
@@ -23,8 +23,6 @@
 create table q20_tmp4(ps_suppkey int);
 create table q20_potential_part_promotion(s_name string, s_address string);
 
-set mapred.min.split.size=536870912;
-
 -- the query
 insert overwrite table q20_tmp1
 select distinct p_partkey
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q3_shipping_priority.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q3_shipping_priority.hive
index 0049eb3..67f6dc4 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q3_shipping_priority.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q3_shipping_priority.hive
@@ -11,9 +11,6 @@
 -- create the target table
 create table q3_shipping_priority (l_orderkey int, revenue double, o_orderdate string, o_shippriority int);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1024000000;
-
 -- the query
 Insert overwrite table q3_shipping_priority 
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q4_order_priority.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q4_order_priority.hive
index aa828e9..efbcff2 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q4_order_priority.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q4_order_priority.hive
@@ -11,7 +11,6 @@
 CREATE TABLE q4_order_priority_tmp (O_ORDERKEY INT);
 CREATE TABLE q4_order_priority (O_ORDERPRIORITY STRING, ORDER_COUNT INT);
 
-set mapred.min.split.size=536870912;
 -- the query
 INSERT OVERWRITE TABLE q4_order_priority_tmp 
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q5_local_supplier_volume.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q5_local_supplier_volume.hive
index 9af2dd2..838a1e8 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q5_local_supplier_volume.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q5_local_supplier_volume.hive
@@ -17,7 +17,6 @@
 -- create the target table
 create table q5_local_supplier_volume (N_NAME STRING, REVENUE DOUBLE);
 
-set mapred.min.split.size=536870912;
 
 -- the query
 insert overwrite table q5_local_supplier_volume 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q7_volume_shipping.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q7_volume_shipping.hive
index 2678f80..12ae8ae 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q7_volume_shipping.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q7_volume_shipping.hive
@@ -17,9 +17,6 @@
 create table q7_volume_shipping (supp_nation string, cust_nation string, l_year int, revenue double);
 create table q7_volume_shipping_tmp(supp_nation string, cust_nation string, s_nationkey int, c_nationkey int);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1225000000;
-
 -- the query
 insert overwrite table q7_volume_shipping_tmp
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q9_product_type_profit.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q9_product_type_profit.hive
index 2e5b4a1..c491997 100644
--- a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q9_product_type_profit.hive
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/q9_product_type_profit.hive
@@ -17,9 +17,6 @@
 -- create the result table
 create table q9_product_type_profit (nation string, o_year string, sum_profit double);
 
-set mapred.min.split.size=536870912;
-set hive.exec.reducers.bytes.per.reducer=1024000000;
-
 -- the query
 insert overwrite table q9_product_type_profit
 select 
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/u8_order_by.hive b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/u8_order_by.hive
new file mode 100644
index 0000000..6efd2ae
--- /dev/null
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/queries/u8_order_by.hive
@@ -0,0 +1,8 @@
+drop table IF EXISTS nation;
+drop table IF EXISTS u8_non_mapred;
+
+create external table nation (N_NATIONKEY INT, N_NAME STRING, N_REGIONKEY INT, N_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION '/tpch/nation';
+create table u8_order_by (N_NATIONKEY INT, N_NAME STRING, N_REGIONKEY INT, N_COMMENT STRING);
+
+insert overwrite table u8_order_by
+select * FROM nation order by N_NATIONKEY;
diff --git a/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/results/u8_order_by.result b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/results/u8_order_by.result
new file mode 100644
index 0000000..719b246
--- /dev/null
+++ b/hivesterix/hivesterix-dist/src/test/resources/runtimefunctionts/results/u8_order_by.result
@@ -0,0 +1,25 @@
+0ALGERIA0 haggle. carefully final deposits detect slyly agai
+1ARGENTINA1al foxes promise slyly according to the regular accounts. bold requests alon
+2BRAZIL1y alongside of the pending deposits. carefully special packages are about the ironic forges. slyly special 
+3CANADA1eas hang ironic, silent packages. slyly regular packages are furiously over the tithes. fluffily bold
+4EGYPT4y above the carefully unusual theodolites. final dugouts are quickly across the furiously regular d
+5ETHIOPIA0ven packages wake quickly. regu
+6FRANCE3refully final requests. regular, ironi
+7GERMANY3l platelets. regular accounts x-ray: unusual, regular acco
+8INDIA2ss excuses cajole slyly across the packages. deposits print aroun
+9INDONESIA2 slyly express asymptotes. regular deposits haggle slyly. carefully ironic hockey players sleep blithely. carefull
+10IRAN4efully alongside of the slyly final dependencies. 
+11IRAQ4nic deposits boost atop the quickly final requests? quickly regula
+12JAPAN2ously. final, express gifts cajole a
+13JORDAN4ic deposits are blithely about the carefully regular pa
+14KENYA0 pending excuses haggle furiously deposits. pending, express pinto beans wake fluffily past t
+15MOROCCO0rns. blithely bold courts among the closely regular packages use furiously bold platelets?
+16MOZAMBIQUE0s. ironic, unusual asymptotes wake blithely r
+17PERU1platelets. blithely pending dependencies use fluffily across the even pinto beans. carefully silent accoun
+18CHINA2c dependencies. furiously express notornis sleep slyly regular accounts. ideas sleep. depos
+19ROMANIA3ular asymptotes are about the furious multipliers. express dependencies nag above the ironically ironic account
+20SAUDI ARABIA4ts. silent requests haggle. closely express packages sleep across the blithely
+21VIETNAM2hely enticingly express accounts. even, final 
+22RUSSIA3 requests against the platelets use never according to the quickly regular pint
+23UNITED KINGDOM3eans boost carefully special requests. accounts are. carefull
+24UNITED STATES1y final packages. slow foxes cajole quickly. quickly silent platelets breach ironic accounts. unusual pinto be
diff --git a/hivesterix/hivesterix-optimizer/pom.xml b/hivesterix/hivesterix-optimizer/pom.xml
index ba7c7ad..858507e 100644
--- a/hivesterix/hivesterix-optimizer/pom.xml
+++ b/hivesterix/hivesterix-optimizer/pom.xml
@@ -18,7 +18,7 @@
 	<parent>
 		<artifactId>hivesterix</artifactId>
 		<groupId>edu.uci.ics.hyracks</groupId>
-		<version>0.2.7-SNAPSHOT</version>
+		<version>0.2.10-SNAPSHOT</version>
 	</parent>
 
 	<artifactId>hivesterix-optimizer</artifactId>
@@ -44,14 +44,14 @@
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hivesterix-common</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hivesterix-translator</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
diff --git a/hivesterix/hivesterix-optimizer/src/main/java/edu/uci/ics/hivesterix/optimizer/rulecollections/HiveRuleCollections.java b/hivesterix/hivesterix-optimizer/src/main/java/edu/uci/ics/hivesterix/optimizer/rulecollections/HiveRuleCollections.java
index 959e73e..12b5986 100644
--- a/hivesterix/hivesterix-optimizer/src/main/java/edu/uci/ics/hivesterix/optimizer/rulecollections/HiveRuleCollections.java
+++ b/hivesterix/hivesterix-optimizer/src/main/java/edu/uci/ics/hivesterix/optimizer/rulecollections/HiveRuleCollections.java
@@ -12,115 +12,116 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package edu.uci.ics.hivesterix.optimizer.rulecollections;
-
-import java.util.LinkedList;
-
-import edu.uci.ics.hivesterix.optimizer.rules.InsertProjectBeforeWriteRule;
-import edu.uci.ics.hivesterix.optimizer.rules.IntroduceEarlyProjectRule;
-import edu.uci.ics.hivesterix.optimizer.rules.LocalGroupByRule;
-import edu.uci.ics.hivesterix.optimizer.rules.RemoveRedundantSelectRule;
-import edu.uci.ics.hyracks.algebricks.core.rewriter.base.HeuristicOptimizer;
-import edu.uci.ics.hyracks.algebricks.core.rewriter.base.IAlgebraicRewriteRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.BreakSelectIntoConjunctsRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.ComplexJoinInferenceRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.ConsolidateAssignsRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.ConsolidateSelectsRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.EliminateSubplanRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.EnforceStructuralPropertiesRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.ExtractCommonOperatorsRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.ExtractGbyExpressionsRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.FactorRedundantGroupAndDecorVarsRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.InferTypesRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.InlineVariablesRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.InsertProjectBeforeUnionRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.IntroduceAggregateCombinerRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.IntroduceGroupByCombinerRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.IsolateHyracksOperatorsRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.PullSelectOutOfEqJoin;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushLimitDownRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushProjectDownRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushProjectIntoDataSourceScanRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushSelectDownRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushSelectIntoJoinRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.ReinferAllTypesRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.RemoveRedundantProjectionRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.RemoveUnusedAssignAndAggregateRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.SetAlgebricksPhysicalOperatorsRule;
-import edu.uci.ics.hyracks.algebricks.rewriter.rules.SetExecutionModeRule;
-
-public final class HiveRuleCollections {
-
-    public final static LinkedList<IAlgebraicRewriteRule> NORMALIZATION = new LinkedList<IAlgebraicRewriteRule>();
-    static {
-        NORMALIZATION.add(new EliminateSubplanRule());
-        NORMALIZATION.add(new BreakSelectIntoConjunctsRule());
-        NORMALIZATION.add(new PushSelectIntoJoinRule());
-        NORMALIZATION.add(new ExtractGbyExpressionsRule());
-        NORMALIZATION.add(new RemoveRedundantSelectRule());
-    }
-
-    public final static LinkedList<IAlgebraicRewriteRule> COND_PUSHDOWN_AND_JOIN_INFERENCE = new LinkedList<IAlgebraicRewriteRule>();
-    static {
-        COND_PUSHDOWN_AND_JOIN_INFERENCE.add(new PushSelectDownRule());
-        COND_PUSHDOWN_AND_JOIN_INFERENCE.add(new InlineVariablesRule());
-        COND_PUSHDOWN_AND_JOIN_INFERENCE.add(new FactorRedundantGroupAndDecorVarsRule());
-        COND_PUSHDOWN_AND_JOIN_INFERENCE.add(new EliminateSubplanRule());
-    }
-
-    public final static LinkedList<IAlgebraicRewriteRule> LOAD_FIELDS = new LinkedList<IAlgebraicRewriteRule>();
-    static {
-        // should LoadRecordFieldsRule be applied in only one pass over the
-        // plan?
-        LOAD_FIELDS.add(new InlineVariablesRule());
-        // LOAD_FIELDS.add(new RemoveUnusedAssignAndAggregateRule());
-        LOAD_FIELDS.add(new ComplexJoinInferenceRule());
-        LOAD_FIELDS.add(new InferTypesRule());
-    }
-
-    public final static LinkedList<IAlgebraicRewriteRule> OP_PUSHDOWN = new LinkedList<IAlgebraicRewriteRule>();
-    static {
-        OP_PUSHDOWN.add(new PushProjectDownRule());
-        OP_PUSHDOWN.add(new PushSelectDownRule());
-    }
-
-    public final static LinkedList<IAlgebraicRewriteRule> DATA_EXCHANGE = new LinkedList<IAlgebraicRewriteRule>();
-    static {
-        DATA_EXCHANGE.add(new SetExecutionModeRule());
-    }
-
-    public final static LinkedList<IAlgebraicRewriteRule> CONSOLIDATION = new LinkedList<IAlgebraicRewriteRule>();
-    static {
-        CONSOLIDATION.add(new RemoveRedundantProjectionRule());
-        CONSOLIDATION.add(new ConsolidateSelectsRule());
-        CONSOLIDATION.add(new IntroduceEarlyProjectRule());
-        CONSOLIDATION.add(new ConsolidateAssignsRule());
-        CONSOLIDATION.add(new IntroduceGroupByCombinerRule());
-        CONSOLIDATION.add(new IntroduceAggregateCombinerRule());
-        CONSOLIDATION.add(new RemoveUnusedAssignAndAggregateRule());
-    }
-
-    public final static LinkedList<IAlgebraicRewriteRule> PHYSICAL_PLAN_REWRITES = new LinkedList<IAlgebraicRewriteRule>();
-    static {
-        PHYSICAL_PLAN_REWRITES.add(new PullSelectOutOfEqJoin());
-        PHYSICAL_PLAN_REWRITES.add(new SetAlgebricksPhysicalOperatorsRule());
-        PHYSICAL_PLAN_REWRITES.add(new EnforceStructuralPropertiesRule());
-        PHYSICAL_PLAN_REWRITES.add(new PushProjectDownRule());
-        PHYSICAL_PLAN_REWRITES.add(new SetAlgebricksPhysicalOperatorsRule());
-        PHYSICAL_PLAN_REWRITES.add(new PushLimitDownRule());
-        PHYSICAL_PLAN_REWRITES.add(new InsertProjectBeforeWriteRule());
-        PHYSICAL_PLAN_REWRITES.add(new InsertProjectBeforeUnionRule());
-    }
-
-    public final static LinkedList<IAlgebraicRewriteRule> prepareJobGenRules = new LinkedList<IAlgebraicRewriteRule>();
-    static {
-        prepareJobGenRules.add(new ReinferAllTypesRule());
-        prepareJobGenRules.add(new IsolateHyracksOperatorsRule(
-                HeuristicOptimizer.hyraxOperatorsBelowWhichJobGenIsDisabled));
-        prepareJobGenRules.add(new ExtractCommonOperatorsRule());
-        prepareJobGenRules.add(new LocalGroupByRule());
-        prepareJobGenRules.add(new PushProjectIntoDataSourceScanRule());
-        prepareJobGenRules.add(new ReinferAllTypesRule());
-    }
-
-}
+package edu.uci.ics.hivesterix.optimizer.rulecollections;
+
+import java.util.LinkedList;
+
+import edu.uci.ics.hivesterix.optimizer.rules.InsertProjectBeforeWriteRule;
+import edu.uci.ics.hivesterix.optimizer.rules.IntroduceEarlyProjectRule;
+import edu.uci.ics.hivesterix.optimizer.rules.LocalGroupByRule;
+import edu.uci.ics.hivesterix.optimizer.rules.RemoveRedundantSelectRule;
+import edu.uci.ics.hyracks.algebricks.core.rewriter.base.HeuristicOptimizer;
+import edu.uci.ics.hyracks.algebricks.core.rewriter.base.IAlgebraicRewriteRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.BreakSelectIntoConjunctsRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.ComplexJoinInferenceRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.ConsolidateAssignsRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.ConsolidateSelectsRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.EliminateSubplanRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.EnforceStructuralPropertiesRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.ExtractCommonOperatorsRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.ExtractGbyExpressionsRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.FactorRedundantGroupAndDecorVarsRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.InferTypesRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.InlineVariablesRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.InsertProjectBeforeUnionRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.IntroduceAggregateCombinerRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.IntroduceGroupByCombinerRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.IsolateHyracksOperatorsRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.PullSelectOutOfEqJoin;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushLimitDownRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushProjectDownRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushProjectIntoDataSourceScanRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushSelectDownRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.PushSelectIntoJoinRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.ReinferAllTypesRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.RemoveRedundantProjectionRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.RemoveUnusedAssignAndAggregateRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.SetAlgebricksPhysicalOperatorsRule;
+import edu.uci.ics.hyracks.algebricks.rewriter.rules.SetExecutionModeRule;
+
+public final class HiveRuleCollections {
+
+    public final static LinkedList<IAlgebraicRewriteRule> NORMALIZATION = new LinkedList<IAlgebraicRewriteRule>();
+    static {
+        NORMALIZATION.add(new EliminateSubplanRule());
+        NORMALIZATION.add(new BreakSelectIntoConjunctsRule());
+        NORMALIZATION.add(new PushSelectIntoJoinRule());
+        NORMALIZATION.add(new ExtractGbyExpressionsRule());
+        NORMALIZATION.add(new RemoveRedundantSelectRule());
+    }
+
+    public final static LinkedList<IAlgebraicRewriteRule> COND_PUSHDOWN_AND_JOIN_INFERENCE = new LinkedList<IAlgebraicRewriteRule>();
+    static {
+        COND_PUSHDOWN_AND_JOIN_INFERENCE.add(new PushSelectDownRule());
+        COND_PUSHDOWN_AND_JOIN_INFERENCE.add(new InlineVariablesRule());
+        COND_PUSHDOWN_AND_JOIN_INFERENCE.add(new FactorRedundantGroupAndDecorVarsRule());
+        COND_PUSHDOWN_AND_JOIN_INFERENCE.add(new EliminateSubplanRule());
+    }
+
+    public final static LinkedList<IAlgebraicRewriteRule> LOAD_FIELDS = new LinkedList<IAlgebraicRewriteRule>();
+    static {
+        // should LoadRecordFieldsRule be applied in only one pass over the
+        // plan?
+        LOAD_FIELDS.add(new InlineVariablesRule());
+        // LOAD_FIELDS.add(new RemoveUnusedAssignAndAggregateRule());
+        LOAD_FIELDS.add(new ComplexJoinInferenceRule());
+        LOAD_FIELDS.add(new InferTypesRule());
+    }
+
+    public final static LinkedList<IAlgebraicRewriteRule> OP_PUSHDOWN = new LinkedList<IAlgebraicRewriteRule>();
+    static {
+        OP_PUSHDOWN.add(new PushProjectDownRule());
+        OP_PUSHDOWN.add(new PushSelectDownRule());
+    }
+
+    public final static LinkedList<IAlgebraicRewriteRule> DATA_EXCHANGE = new LinkedList<IAlgebraicRewriteRule>();
+    static {
+        DATA_EXCHANGE.add(new SetExecutionModeRule());
+    }
+
+    public final static LinkedList<IAlgebraicRewriteRule> CONSOLIDATION = new LinkedList<IAlgebraicRewriteRule>();
+    static {
+        CONSOLIDATION.add(new RemoveRedundantProjectionRule());
+        CONSOLIDATION.add(new ConsolidateSelectsRule());
+        CONSOLIDATION.add(new IntroduceEarlyProjectRule());
+        CONSOLIDATION.add(new ConsolidateAssignsRule());
+        CONSOLIDATION.add(new IntroduceGroupByCombinerRule());
+        CONSOLIDATION.add(new IntroduceAggregateCombinerRule());
+        CONSOLIDATION.add(new RemoveUnusedAssignAndAggregateRule());
+    }
+
+    public final static LinkedList<IAlgebraicRewriteRule> PHYSICAL_PLAN_REWRITES = new LinkedList<IAlgebraicRewriteRule>();
+    static {
+        PHYSICAL_PLAN_REWRITES.add(new PullSelectOutOfEqJoin());
+        PHYSICAL_PLAN_REWRITES.add(new SetAlgebricksPhysicalOperatorsRule());
+        PHYSICAL_PLAN_REWRITES.add(new EnforceStructuralPropertiesRule());
+        PHYSICAL_PLAN_REWRITES.add(new PushProjectDownRule());
+        PHYSICAL_PLAN_REWRITES.add(new SetAlgebricksPhysicalOperatorsRule());
+        PHYSICAL_PLAN_REWRITES.add(new PushLimitDownRule());
+        PHYSICAL_PLAN_REWRITES.add(new InsertProjectBeforeWriteRule());
+        PHYSICAL_PLAN_REWRITES.add(new InsertProjectBeforeUnionRule());
+    }
+
+    public final static LinkedList<IAlgebraicRewriteRule> prepareJobGenRules = new LinkedList<IAlgebraicRewriteRule>();
+    static {
+        prepareJobGenRules.add(new ReinferAllTypesRule());
+        prepareJobGenRules.add(new IsolateHyracksOperatorsRule(
+                HeuristicOptimizer.hyraxOperatorsBelowWhichJobGenIsDisabled));
+        prepareJobGenRules.add(new ExtractCommonOperatorsRule());
+        prepareJobGenRules.add(new LocalGroupByRule());
+        prepareJobGenRules.add(new PushProjectIntoDataSourceScanRule());
+        prepareJobGenRules.add(new ReinferAllTypesRule());
+        prepareJobGenRules.add(new SetExecutionModeRule());
+    }
+
+}
diff --git a/hivesterix/hivesterix-runtime/pom.xml b/hivesterix/hivesterix-runtime/pom.xml
index e4f5416..6d10286 100644
--- a/hivesterix/hivesterix-runtime/pom.xml
+++ b/hivesterix/hivesterix-runtime/pom.xml
@@ -20,16 +20,14 @@
 	<parent>
                 <groupId>edu.uci.ics.hyracks</groupId>
                 <artifactId>hivesterix</artifactId>
-                <version>0.2.7-SNAPSHOT</version>
+                <version>0.2.10-SNAPSHOT</version>
         </parent>
 
 	<dependencies>
-        <dependency>
-			<groupId>javax.servlet</groupId>
-			<artifactId>servlet-api</artifactId>
-			<version>2.5</version>
-			<type>jar</type>
-			<scope>compile</scope>
+		<dependency>
+  			<groupId>sqlline</groupId>
+  			<artifactId>sqlline</artifactId>
+  			<version>1_0_2</version>
 		</dependency>
 		<dependency>
 			<groupId>junit</groupId>
@@ -38,285 +36,105 @@
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>args4j</groupId>
-			<artifactId>args4j</artifactId>
-			<version>2.0.12</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.json</groupId>
-			<artifactId>json</artifactId>
-			<version>20090211</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.eclipse.jetty</groupId>
-			<artifactId>jetty-server</artifactId>
-			<version>8.0.0.M1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.eclipse.jetty</groupId>
-			<artifactId>jetty-servlet</artifactId>
-			<version>8.0.0.M1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>jline</groupId>
-			<artifactId>jline</artifactId>
-			<version>0.9.94</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.datanucleus</groupId>
-			<artifactId>datanucleus-core</artifactId>
-			<version>2.0.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.datanucleus</groupId>
-			<artifactId>datanucleus-connectionpool</artifactId>
-			<version>2.0.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.datanucleus</groupId>
-			<artifactId>datanucleus-enhancer</artifactId>
-			<version>2.0.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.datanucleus</groupId>
-			<artifactId>datanucleus-rdbms</artifactId>
-			<version>2.0.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-dbcp</groupId>
-			<artifactId>commons-dbcp</artifactId>
-			<version>1.4</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-pool</groupId>
-			<artifactId>commons-pool</artifactId>
-			<version>1.5.4</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-collections</groupId>
-			<artifactId>commons-collections</artifactId>
-			<version>3.2.1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-lang</groupId>
-			<artifactId>commons-lang</artifactId>
-			<version>2.4</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>javax</groupId>
-			<artifactId>jdo2-api</artifactId>
-			<version>2.3-ec</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>com.facebook</groupId>
-			<artifactId>libfb303</artifactId>
-			<version>0.5.0</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.thrift</groupId>
-			<artifactId>libthrift</artifactId>
-			<version>0.5.0</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.commons</groupId>
-			<artifactId>cli</artifactId>
-			<version>1.2</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache</groupId>
-			<artifactId>log4j</artifactId>
-			<version>1.2.15</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.antlr</groupId>
-			<artifactId>antlr-runtime</artifactId>
-			<version>3.0.1</version>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-cli</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-common</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-exec</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-hwi</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-jdbc</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-metastore</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-service</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-shims</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-serde</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.slf4j</groupId>
-			<artifactId>slf4j-api</artifactId>
-			<version>1.6.1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-cli</groupId>
-			<artifactId>commons-cli</artifactId>
-			<version>1.2</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.slf4j</groupId>
-			<artifactId>slf4j-log4j12</artifactId>
-			<version>1.6.1</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>commons-logging</groupId>
-			<artifactId>commons-logging</artifactId>
-			<version>1.1.1</version>
-			<type>jar</type>
-			<classifier>api</classifier>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>com.google.guava</groupId>
-			<artifactId>guava</artifactId>
-			<version>r06</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.antlr</groupId>
-			<artifactId>stringtemplate</artifactId>
-			<version>3.2</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.derby</groupId>
-			<artifactId>derby</artifactId>
-			<version>10.8.1.2</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
-			<groupId>org.apache.hbase</groupId>
-			<artifactId>hbase</artifactId>
-			<version>0.90.3</version>
-			<type>jar</type>
-			<scope>compile</scope>
+			<groupId>org.apache.hive</groupId>
+			<artifactId>hive-hbase-handler</artifactId>
+			<version>0.11.0</version>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>algebricks-compiler</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hyracks-control-cc</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hyracks-control-nc</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hivesterix-serde</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hivesterix-common</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
@@ -384,5 +202,19 @@
 			<id>hyracks-public-release</id>
 			<url>http://obelix.ics.uci.edu/nexus/content/repositories/hyracks-public-releases</url>
 		</repository>
+		<repository>
+			<releases>
+				<enabled>true</enabled>
+				<updatePolicy>always</updatePolicy>
+				<checksumPolicy>warn</checksumPolicy>
+			</releases>
+			<snapshots>
+				<enabled>true</enabled>
+				<updatePolicy>always</updatePolicy>
+				<checksumPolicy>fail</checksumPolicy>
+			</snapshots>
+			<id>plugins-release</id>
+			<url>http://repo.springsource.org/plugins-release</url>
+		</repository>
 	</repositories>
 </project>
diff --git a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AbstractExpressionEvaluator.java b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AbstractExpressionEvaluator.java
index a5177c9..dd4fbe7 100644
--- a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AbstractExpressionEvaluator.java
+++ b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AbstractExpressionEvaluator.java
@@ -34,6 +34,7 @@
 import edu.uci.ics.hyracks.data.std.api.IDataOutputProvider;
 import edu.uci.ics.hyracks.dataflow.common.data.accessors.IFrameTupleReference;
 
+@SuppressWarnings("deprecation")
 public abstract class AbstractExpressionEvaluator implements ICopyEvaluator {
 
     private List<ICopyEvaluator> children;
diff --git a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AggregationFunctionEvaluator.java b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AggregationFunctionEvaluator.java
index d061b23..87d2221 100644
--- a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AggregationFunctionEvaluator.java
+++ b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AggregationFunctionEvaluator.java
@@ -36,6 +36,7 @@
 import edu.uci.ics.hyracks.algebricks.runtime.base.ICopyAggregateFunction;
 import edu.uci.ics.hyracks.dataflow.common.data.accessors.IFrameTupleReference;
 
+@SuppressWarnings("deprecation")
 public class AggregationFunctionEvaluator implements ICopyAggregateFunction {
 
     /**
diff --git a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AggregatuibFunctionSerializableEvaluator.java b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AggregatuibFunctionSerializableEvaluator.java
index f4b77b8..3f1cc27 100644
--- a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AggregatuibFunctionSerializableEvaluator.java
+++ b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/AggregatuibFunctionSerializableEvaluator.java
@@ -35,6 +35,7 @@
 import edu.uci.ics.hyracks.algebricks.runtime.base.ICopySerializableAggregateFunction;
 import edu.uci.ics.hyracks.dataflow.common.data.accessors.IFrameTupleReference;
 
+@SuppressWarnings("deprecation")
 public class AggregatuibFunctionSerializableEvaluator implements ICopySerializableAggregateFunction {
 
     /**
diff --git a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/UDTFFunctionEvaluator.java b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/UDTFFunctionEvaluator.java
index d91b806..b511d87 100644
--- a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/UDTFFunctionEvaluator.java
+++ b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/evaluator/UDTFFunctionEvaluator.java
@@ -35,6 +35,7 @@
 import edu.uci.ics.hyracks.algebricks.runtime.base.ICopyUnnestingFunction;
 import edu.uci.ics.hyracks.dataflow.common.data.accessors.IFrameTupleReference;
 
+@SuppressWarnings("deprecation")
 public class UDTFFunctionEvaluator implements ICopyUnnestingFunction, Collector {
 
     /**
diff --git a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/factory/evaluator/AggregationFunctionFactory.java b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/factory/evaluator/AggregationFunctionFactory.java
index 09f0cb6..d65dc24 100644
--- a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/factory/evaluator/AggregationFunctionFactory.java
+++ b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/factory/evaluator/AggregationFunctionFactory.java
@@ -12,370 +12,383 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package edu.uci.ics.hivesterix.runtime.factory.evaluator;
-
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-
-import org.apache.hadoop.conf.Configuration;
-import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
-import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
-import org.apache.hadoop.hive.ql.exec.FunctionRegistry;
-import org.apache.hadoop.hive.ql.exec.Utilities;
-import org.apache.hadoop.hive.ql.metadata.HiveException;
-import org.apache.hadoop.hive.ql.plan.AggregationDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;
-import org.apache.hadoop.hive.serde2.SerDe;
-import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
-import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
-
-import edu.uci.ics.hivesterix.logical.expression.ExpressionTranslator;
-import edu.uci.ics.hivesterix.runtime.evaluator.AggregationFunctionEvaluator;
-import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
-import edu.uci.ics.hivesterix.serde.lazy.LazyFactory;
-import edu.uci.ics.hivesterix.serde.lazy.LazyObject;
-import edu.uci.ics.hivesterix.serde.lazy.LazySerDe;
-import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AggregateFunctionCallExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.IVariableTypeEnvironment;
-import edu.uci.ics.hyracks.algebricks.runtime.base.ICopyAggregateFunction;
-import edu.uci.ics.hyracks.algebricks.runtime.base.ICopyAggregateFunctionFactory;
-import edu.uci.ics.hyracks.data.std.api.IDataOutputProvider;
-
-public class AggregationFunctionFactory implements ICopyAggregateFunctionFactory {
-
-    private static final long serialVersionUID = 1L;
-
-    /**
-     * list of parameters' serialization
-     */
-    private List<String> parametersSerialization = new ArrayList<String>();
-
-    /**
-     * the name of the udf
-     */
-    private String genericUDAFName;
-
-    /**
-     * aggregation mode
-     */
-    private GenericUDAFEvaluator.Mode mode;
-
-    /**
-     * list of type info
-     */
-    private List<TypeInfo> types = new ArrayList<TypeInfo>();
-
-    /**
-     * distinct or not
-     */
-    private boolean distinct;
-
-    /**
-     * the schema of incoming rows
-     */
-    private Schema rowSchema;
-
-    /**
-     * list of parameters
-     */
-    private transient List<ExprNodeDesc> parametersOrigin;
-
-    /**
-     * row inspector
-     */
-    private transient ObjectInspector rowInspector = null;
-
-    /**
-     * output object inspector
-     */
-    private transient ObjectInspector outputInspector = null;
-
-    /**
-     * output object inspector
-     */
-    private transient ObjectInspector outputInspectorPartial = null;
-
-    /**
-     * parameter inspectors
-     */
-    private transient ObjectInspector[] parameterInspectors = null;
-
-    /**
-     * expression desc
-     */
-    private transient HashMap<Long, List<ExprNodeDesc>> parameterExprs = new HashMap<Long, List<ExprNodeDesc>>();
-
-    /**
-     * evaluators
-     */
-    private transient HashMap<Long, ExprNodeEvaluator[]> evaluators = new HashMap<Long, ExprNodeEvaluator[]>();
-
-    /**
-     * cached parameter objects
-     */
-    private transient HashMap<Long, Object[]> cachedParameters = new HashMap<Long, Object[]>();
-
-    /**
-     * cached row object: one per thread
-     */
-    private transient HashMap<Long, LazyObject<? extends ObjectInspector>> cachedRowObjects = new HashMap<Long, LazyObject<? extends ObjectInspector>>();
-
-    /**
-     * we only use lazy serde to do serialization
-     */
-    private transient HashMap<Long, SerDe> serDe = new HashMap<Long, SerDe>();
-
-    /**
-     * udaf evaluators
-     */
-    private transient HashMap<Long, GenericUDAFEvaluator> udafsPartial = new HashMap<Long, GenericUDAFEvaluator>();
-
-    /**
-     * udaf evaluators
-     */
-    private transient HashMap<Long, GenericUDAFEvaluator> udafsComplete = new HashMap<Long, GenericUDAFEvaluator>();
-
-    /**
-     * aggregation function desc
-     */
-    private transient AggregationDesc aggregator;
-
-    /**
-     * @param aggregator
-     *            Algebricks function call expression
-     * @param oi
-     *            schema
-     */
-    public AggregationFunctionFactory(AggregateFunctionCallExpression expression, Schema oi,
-            IVariableTypeEnvironment env) throws AlgebricksException {
-
-        try {
-            aggregator = (AggregationDesc) ExpressionTranslator.getHiveExpression(expression, env);
-        } catch (Exception e) {
-            e.printStackTrace();
-            throw new AlgebricksException(e.getMessage());
-        }
-        init(aggregator.getParameters(), aggregator.getGenericUDAFName(), aggregator.getMode(),
-                aggregator.getDistinct(), oi);
-    }
-
-    /**
-     * constructor of aggregation function factory
-     * 
-     * @param inputs
-     * @param name
-     * @param udafMode
-     * @param distinct
-     * @param oi
-     */
-    private void init(List<ExprNodeDesc> inputs, String name, GenericUDAFEvaluator.Mode udafMode, boolean distinct,
-            Schema oi) {
-        parametersOrigin = inputs;
-        genericUDAFName = name;
-        mode = udafMode;
-        this.distinct = distinct;
-        rowSchema = oi;
-
-        for (ExprNodeDesc input : inputs) {
-            TypeInfo type = input.getTypeInfo();
-            if (type instanceof StructTypeInfo) {
-                types.add(TypeInfoFactory.doubleTypeInfo);
-            } else
-                types.add(type);
-
-            String s = Utilities.serializeExpression(input);
-            parametersSerialization.add(s);
-        }
-    }
-
-    @Override
-    public synchronized ICopyAggregateFunction createAggregateFunction(IDataOutputProvider provider)
-            throws AlgebricksException {
-        if (parametersOrigin == null) {
-            Configuration config = new Configuration();
-            config.setClassLoader(this.getClass().getClassLoader());
-            /**
-             * in case of class.forname(...) call in hive code
-             */
-            Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
-
-            parametersOrigin = new ArrayList<ExprNodeDesc>();
-            for (String serialization : parametersSerialization) {
-                parametersOrigin.add(Utilities.deserializeExpression(serialization, config));
-            }
-        }
-
-        /**
-         * exprs
-         */
-        if (parameterExprs == null)
-            parameterExprs = new HashMap<Long, List<ExprNodeDesc>>();
-
-        /**
-         * evaluators
-         */
-        if (evaluators == null)
-            evaluators = new HashMap<Long, ExprNodeEvaluator[]>();
-
-        /**
-         * cached parameter objects
-         */
-        if (cachedParameters == null)
-            cachedParameters = new HashMap<Long, Object[]>();
-
-        /**
-         * cached row object: one per thread
-         */
-        if (cachedRowObjects == null)
-            cachedRowObjects = new HashMap<Long, LazyObject<? extends ObjectInspector>>();
-
-        /**
-         * we only use lazy serde to do serialization
-         */
-        if (serDe == null)
-            serDe = new HashMap<Long, SerDe>();
-
-        /**
-         * UDAF functions
-         */
-        if (udafsComplete == null)
-            udafsComplete = new HashMap<Long, GenericUDAFEvaluator>();
-
-        /**
-         * UDAF functions
-         */
-        if (udafsPartial == null)
-            udafsPartial = new HashMap<Long, GenericUDAFEvaluator>();
-
-        if (parameterInspectors == null)
-            parameterInspectors = new ObjectInspector[parametersOrigin.size()];
-
-        if (rowInspector == null)
-            rowInspector = rowSchema.toObjectInspector();
-
-        // get current thread id
-        long threadId = Thread.currentThread().getId();
-
-        /**
-         * expressions, expressions are thread local
-         */
-        List<ExprNodeDesc> parameters = parameterExprs.get(threadId);
-        if (parameters == null) {
-            parameters = new ArrayList<ExprNodeDesc>();
-            for (ExprNodeDesc parameter : parametersOrigin)
-                parameters.add(parameter.clone());
-            parameterExprs.put(threadId, parameters);
-        }
-
-        /**
-         * cached parameter objects
-         */
-        Object[] cachedParas = cachedParameters.get(threadId);
-        if (cachedParas == null) {
-            cachedParas = new Object[parameters.size()];
-            cachedParameters.put(threadId, cachedParas);
-        }
-
-        /**
-         * cached row object: one per thread
-         */
-        LazyObject<? extends ObjectInspector> cachedRowObject = cachedRowObjects.get(threadId);
-        if (cachedRowObject == null) {
-            cachedRowObject = LazyFactory.createLazyObject(rowInspector);
-            cachedRowObjects.put(threadId, cachedRowObject);
-        }
-
-        /**
-         * we only use lazy serde to do serialization
-         */
-        SerDe lazySer = serDe.get(threadId);
-        if (lazySer == null) {
-            lazySer = new LazySerDe();
-            serDe.put(threadId, lazySer);
-        }
-
-        /**
-         * evaluators
-         */
-        ExprNodeEvaluator[] evals = evaluators.get(threadId);
-        if (evals == null) {
-            evals = new ExprNodeEvaluator[parameters.size()];
-            evaluators.put(threadId, evals);
-        }
-
-        GenericUDAFEvaluator udafPartial;
-        GenericUDAFEvaluator udafComplete;
-
-        // initialize object inspectors
-        try {
-            /**
-             * evaluators, udf, object inpsectors are shared in one thread
-             */
-            for (int i = 0; i < evals.length; i++) {
-                if (evals[i] == null) {
-                    evals[i] = ExprNodeEvaluatorFactory.get(parameters.get(i));
-                    if (parameterInspectors[i] == null) {
-                        parameterInspectors[i] = evals[i].initialize(rowInspector);
-                    } else {
-                        evals[i].initialize(rowInspector);
-                    }
-                }
-            }
-
-            udafComplete = udafsComplete.get(threadId);
-            if (udafComplete == null) {
-                try {
-                    udafComplete = FunctionRegistry.getGenericUDAFEvaluator(genericUDAFName, types, distinct, false);
-                } catch (HiveException e) {
-                    throw new AlgebricksException(e);
-                }
-                udafsComplete.put(threadId, udafComplete);
-                udafComplete.init(mode, parameterInspectors);
-            }
-
-            // multiple stage group by, determined by the mode parameter
-            if (outputInspector == null)
-                outputInspector = udafComplete.init(mode, parameterInspectors);
-
-            // initial partial gby udaf
-            GenericUDAFEvaluator.Mode partialMode;
-            // adjust mode for external groupby
-            if (mode == GenericUDAFEvaluator.Mode.COMPLETE)
-                partialMode = GenericUDAFEvaluator.Mode.PARTIAL1;
-            else if (mode == GenericUDAFEvaluator.Mode.FINAL)
-                partialMode = GenericUDAFEvaluator.Mode.PARTIAL2;
-            else
-                partialMode = mode;
-            udafPartial = udafsPartial.get(threadId);
-            if (udafPartial == null) {
-                try {
-                    udafPartial = FunctionRegistry.getGenericUDAFEvaluator(genericUDAFName, types, distinct, false);
-                } catch (HiveException e) {
-                    throw new AlgebricksException(e);
-                }
-                udafPartial.init(partialMode, parameterInspectors);
-                udafsPartial.put(threadId, udafPartial);
-            }
-
-            // multiple stage group by, determined by the mode parameter
-            if (outputInspectorPartial == null)
-                outputInspectorPartial = udafPartial.init(partialMode, parameterInspectors);
-        } catch (Exception e) {
-            e.printStackTrace();
-            throw new AlgebricksException(e);
-        }
-
-        return new AggregationFunctionEvaluator(parameters, types, genericUDAFName, mode, distinct, rowInspector,
-                provider.getDataOutput(), evals, parameterInspectors, cachedParas, lazySer, cachedRowObject,
-                udafPartial, udafComplete, outputInspector, outputInspectorPartial);
-    }
-
-    public String toString() {
-        return "aggregation function expression evaluator factory: " + this.genericUDAFName;
-    }
-}
+package edu.uci.ics.hivesterix.runtime.factory.evaluator;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
+import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
+import org.apache.hadoop.hive.ql.exec.FunctionRegistry;
+import org.apache.hadoop.hive.ql.exec.Utilities;
+import org.apache.hadoop.hive.ql.metadata.HiveException;
+import org.apache.hadoop.hive.ql.plan.AggregationDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;
+import org.apache.hadoop.hive.serde2.SerDe;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+
+import edu.uci.ics.hivesterix.logical.expression.ExpressionTranslator;
+import edu.uci.ics.hivesterix.runtime.evaluator.AggregationFunctionEvaluator;
+import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
+import edu.uci.ics.hivesterix.serde.lazy.LazyFactory;
+import edu.uci.ics.hivesterix.serde.lazy.LazyObject;
+import edu.uci.ics.hivesterix.serde.lazy.LazySerDe;
+import edu.uci.ics.hivesterix.serde.lazy.LazyUtils;
+import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AggregateFunctionCallExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.IVariableTypeEnvironment;
+import edu.uci.ics.hyracks.algebricks.runtime.base.ICopyAggregateFunction;
+import edu.uci.ics.hyracks.algebricks.runtime.base.ICopyAggregateFunctionFactory;
+import edu.uci.ics.hyracks.data.std.api.IDataOutputProvider;
+
+@SuppressWarnings("deprecation")
+public class AggregationFunctionFactory implements ICopyAggregateFunctionFactory {
+
+    private static final long serialVersionUID = 1L;
+
+    /**
+     * list of parameters' serialization
+     */
+    private List<String> parametersSerialization = new ArrayList<String>();
+
+    /**
+     * the name of the udf
+     */
+    private String genericUDAFName;
+
+    /**
+     * aggregation mode
+     */
+    private GenericUDAFEvaluator.Mode mode;
+
+    /**
+     * list of type info
+     */
+    private List<TypeInfo> types = new ArrayList<TypeInfo>();
+
+    /**
+     * distinct or not
+     */
+    private boolean distinct;
+
+    /**
+     * the schema of incoming rows
+     */
+    private Schema rowSchema;
+
+    /**
+     * list of parameters
+     */
+    private transient List<ExprNodeDesc> parametersOrigin;
+
+    /**
+     * row inspector
+     */
+    private transient ObjectInspector rowInspector = null;
+
+    /**
+     * output object inspector
+     */
+    private transient ObjectInspector outputInspector = null;
+
+    /**
+     * output object inspector
+     */
+    private transient ObjectInspector outputInspectorPartial = null;
+
+    /**
+     * parameter inspectors
+     */
+    private transient ObjectInspector[] parameterInspectors = null;
+
+    /**
+     * expression desc
+     */
+    private transient HashMap<Long, List<ExprNodeDesc>> parameterExprs = new HashMap<Long, List<ExprNodeDesc>>();
+
+    /**
+     * evaluators
+     */
+    private transient HashMap<Long, ExprNodeEvaluator[]> evaluators = new HashMap<Long, ExprNodeEvaluator[]>();
+
+    /**
+     * cached parameter objects
+     */
+    private transient HashMap<Long, Object[]> cachedParameters = new HashMap<Long, Object[]>();
+
+    /**
+     * cached row object: one per thread
+     */
+    private transient HashMap<Long, LazyObject<? extends ObjectInspector>> cachedRowObjects = new HashMap<Long, LazyObject<? extends ObjectInspector>>();
+
+    /**
+     * we only use lazy serde to do serialization
+     */
+    private transient HashMap<Long, SerDe> serDe = new HashMap<Long, SerDe>();
+
+    /**
+     * udaf evaluators
+     */
+    private transient HashMap<Long, GenericUDAFEvaluator> udafsPartial = new HashMap<Long, GenericUDAFEvaluator>();
+
+    /**
+     * udaf evaluators
+     */
+    private transient HashMap<Long, GenericUDAFEvaluator> udafsComplete = new HashMap<Long, GenericUDAFEvaluator>();
+
+    /**
+     * aggregation function desc
+     */
+    private transient AggregationDesc aggregator;
+
+    /**
+     * @param aggregator
+     *            Algebricks function call expression
+     * @param oi
+     *            schema
+     */
+    public AggregationFunctionFactory(AggregateFunctionCallExpression expression, Schema oi,
+            IVariableTypeEnvironment env) throws AlgebricksException {
+
+        try {
+            aggregator = (AggregationDesc) ExpressionTranslator.getHiveExpression(expression, env);
+        } catch (Exception e) {
+            e.printStackTrace();
+            throw new AlgebricksException(e.getMessage());
+        }
+        init(aggregator.getParameters(), aggregator.getGenericUDAFName(), aggregator.getMode(),
+                aggregator.getDistinct(), oi);
+    }
+
+    /**
+     * constructor of aggregation function factory
+     * 
+     * @param inputs
+     * @param name
+     * @param udafMode
+     * @param distinct
+     * @param oi
+     */
+    private void init(List<ExprNodeDesc> inputs, String name, GenericUDAFEvaluator.Mode udafMode, boolean distinct,
+            Schema oi) {
+        parametersOrigin = inputs;
+        genericUDAFName = name;
+        mode = udafMode;
+        this.distinct = distinct;
+        rowSchema = oi;
+
+        for (ExprNodeDesc input : inputs) {
+            TypeInfo type = input.getTypeInfo();
+            if (type instanceof StructTypeInfo) {
+                types.add(TypeInfoFactory.doubleTypeInfo);
+            } else {
+                types.add(type);
+            }
+
+            String s = Utilities.serializeExpression(input);
+            parametersSerialization.add(s);
+        }
+    }
+
+    @Override
+    public synchronized ICopyAggregateFunction createAggregateFunction(IDataOutputProvider provider)
+            throws AlgebricksException {
+        /**
+         * list of object inspectors correlated to types
+         */
+        List<ObjectInspector> oiListForTypes = new ArrayList<ObjectInspector>();
+        for (TypeInfo type : types) {
+            oiListForTypes.add(LazyUtils.getLazyObjectInspectorFromTypeInfo(type, false));
+        }
+
+        if (parametersOrigin == null) {
+            Configuration config = new Configuration();
+            config.setClassLoader(this.getClass().getClassLoader());
+            /**
+             * in case of class.forname(...) call in hive code
+             */
+            Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
+
+            parametersOrigin = new ArrayList<ExprNodeDesc>();
+            for (String serialization : parametersSerialization) {
+                parametersOrigin.add(Utilities.deserializeExpression(serialization, config));
+            }
+        }
+
+        /**
+         * exprs
+         */
+        if (parameterExprs == null)
+            parameterExprs = new HashMap<Long, List<ExprNodeDesc>>();
+
+        /**
+         * evaluators
+         */
+        if (evaluators == null)
+            evaluators = new HashMap<Long, ExprNodeEvaluator[]>();
+
+        /**
+         * cached parameter objects
+         */
+        if (cachedParameters == null)
+            cachedParameters = new HashMap<Long, Object[]>();
+
+        /**
+         * cached row object: one per thread
+         */
+        if (cachedRowObjects == null)
+            cachedRowObjects = new HashMap<Long, LazyObject<? extends ObjectInspector>>();
+
+        /**
+         * we only use lazy serde to do serialization
+         */
+        if (serDe == null)
+            serDe = new HashMap<Long, SerDe>();
+
+        /**
+         * UDAF functions
+         */
+        if (udafsComplete == null)
+            udafsComplete = new HashMap<Long, GenericUDAFEvaluator>();
+
+        /**
+         * UDAF functions
+         */
+        if (udafsPartial == null)
+            udafsPartial = new HashMap<Long, GenericUDAFEvaluator>();
+
+        if (parameterInspectors == null)
+            parameterInspectors = new ObjectInspector[parametersOrigin.size()];
+
+        if (rowInspector == null)
+            rowInspector = rowSchema.toObjectInspector();
+
+        // get current thread id
+        long threadId = Thread.currentThread().getId();
+
+        /**
+         * expressions, expressions are thread local
+         */
+        List<ExprNodeDesc> parameters = parameterExprs.get(threadId);
+        if (parameters == null) {
+            parameters = new ArrayList<ExprNodeDesc>();
+            for (ExprNodeDesc parameter : parametersOrigin)
+                parameters.add(parameter.clone());
+            parameterExprs.put(threadId, parameters);
+        }
+
+        /**
+         * cached parameter objects
+         */
+        Object[] cachedParas = cachedParameters.get(threadId);
+        if (cachedParas == null) {
+            cachedParas = new Object[parameters.size()];
+            cachedParameters.put(threadId, cachedParas);
+        }
+
+        /**
+         * cached row object: one per thread
+         */
+        LazyObject<? extends ObjectInspector> cachedRowObject = cachedRowObjects.get(threadId);
+        if (cachedRowObject == null) {
+            cachedRowObject = LazyFactory.createLazyObject(rowInspector);
+            cachedRowObjects.put(threadId, cachedRowObject);
+        }
+
+        /**
+         * we only use lazy serde to do serialization
+         */
+        SerDe lazySer = serDe.get(threadId);
+        if (lazySer == null) {
+            lazySer = new LazySerDe();
+            serDe.put(threadId, lazySer);
+        }
+
+        /**
+         * evaluators
+         */
+        ExprNodeEvaluator[] evals = evaluators.get(threadId);
+        if (evals == null) {
+            evals = new ExprNodeEvaluator[parameters.size()];
+            evaluators.put(threadId, evals);
+        }
+
+        GenericUDAFEvaluator udafPartial;
+        GenericUDAFEvaluator udafComplete;
+
+        // initialize object inspectors
+        try {
+            /**
+             * evaluators, udf, object inpsectors are shared in one thread
+             */
+            for (int i = 0; i < evals.length; i++) {
+                if (evals[i] == null) {
+                    evals[i] = ExprNodeEvaluatorFactory.get(parameters.get(i));
+                    if (parameterInspectors[i] == null) {
+                        parameterInspectors[i] = evals[i].initialize(rowInspector);
+                    } else {
+                        evals[i].initialize(rowInspector);
+                    }
+                }
+            }
+
+            udafComplete = udafsComplete.get(threadId);
+            if (udafComplete == null) {
+                try {
+                    udafComplete = FunctionRegistry.getGenericUDAFEvaluator(genericUDAFName, oiListForTypes, distinct,
+                            false);
+                } catch (HiveException e) {
+                    throw new AlgebricksException(e);
+                }
+                udafsComplete.put(threadId, udafComplete);
+                udafComplete.init(mode, parameterInspectors);
+            }
+
+            // multiple stage group by, determined by the mode parameter
+            if (outputInspector == null)
+                outputInspector = udafComplete.init(mode, parameterInspectors);
+
+            // initial partial gby udaf
+            GenericUDAFEvaluator.Mode partialMode;
+            // adjust mode for external groupby
+            if (mode == GenericUDAFEvaluator.Mode.COMPLETE)
+                partialMode = GenericUDAFEvaluator.Mode.PARTIAL1;
+            else if (mode == GenericUDAFEvaluator.Mode.FINAL)
+                partialMode = GenericUDAFEvaluator.Mode.PARTIAL2;
+            else
+                partialMode = mode;
+            udafPartial = udafsPartial.get(threadId);
+            if (udafPartial == null) {
+                try {
+                    udafPartial = FunctionRegistry.getGenericUDAFEvaluator(genericUDAFName, oiListForTypes, distinct,
+                            false);
+                } catch (HiveException e) {
+                    throw new AlgebricksException(e);
+                }
+                udafPartial.init(partialMode, parameterInspectors);
+                udafsPartial.put(threadId, udafPartial);
+            }
+
+            // multiple stage group by, determined by the mode parameter
+            if (outputInspectorPartial == null)
+                outputInspectorPartial = udafPartial.init(partialMode, parameterInspectors);
+        } catch (Exception e) {
+            e.printStackTrace();
+            throw new AlgebricksException(e);
+        }
+
+        return new AggregationFunctionEvaluator(parameters, types, genericUDAFName, mode, distinct, rowInspector,
+                provider.getDataOutput(), evals, parameterInspectors, cachedParas, lazySer, cachedRowObject,
+                udafPartial, udafComplete, outputInspector, outputInspectorPartial);
+    }
+
+    public String toString() {
+        return "aggregation function expression evaluator factory: " + this.genericUDAFName;
+    }
+}
diff --git a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/factory/evaluator/AggregationFunctionSerializableFactory.java b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/factory/evaluator/AggregationFunctionSerializableFactory.java
index 71d11c0..c1ee814 100644
--- a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/factory/evaluator/AggregationFunctionSerializableFactory.java
+++ b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/factory/evaluator/AggregationFunctionSerializableFactory.java
@@ -39,12 +39,14 @@
 import edu.uci.ics.hivesterix.serde.lazy.LazyFactory;
 import edu.uci.ics.hivesterix.serde.lazy.LazyObject;
 import edu.uci.ics.hivesterix.serde.lazy.LazySerDe;
+import edu.uci.ics.hivesterix.serde.lazy.LazyUtils;
 import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
 import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AggregateFunctionCallExpression;
 import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.IVariableTypeEnvironment;
 import edu.uci.ics.hyracks.algebricks.runtime.base.ICopySerializableAggregateFunction;
 import edu.uci.ics.hyracks.algebricks.runtime.base.ICopySerializableAggregateFunctionFactory;
 
+@SuppressWarnings("deprecation")
 public class AggregationFunctionSerializableFactory implements ICopySerializableAggregateFunctionFactory {
 
     private static final long serialVersionUID = 1L;
@@ -190,10 +192,19 @@
             String s = Utilities.serializeExpression(input);
             parametersSerialization.add(s);
         }
+
     }
 
     @Override
     public synchronized ICopySerializableAggregateFunction createAggregateFunction() throws AlgebricksException {
+        /**
+         * list of object inspectors correlated to types
+         */
+        List<ObjectInspector> oiListForTypes = new ArrayList<ObjectInspector>();
+        for (TypeInfo type : types) {
+            oiListForTypes.add(LazyUtils.getLazyObjectInspectorFromTypeInfo(type, false));
+        }
+
         if (parametersOrigin == null) {
             Configuration config = new Configuration();
             config.setClassLoader(this.getClass().getClassLoader());
@@ -328,7 +339,8 @@
             udafComplete = udafsComplete.get(threadId);
             if (udafComplete == null) {
                 try {
-                    udafComplete = FunctionRegistry.getGenericUDAFEvaluator(genericUDAFName, types, distinct, false);
+                    udafComplete = FunctionRegistry.getGenericUDAFEvaluator(genericUDAFName, oiListForTypes, distinct,
+                            false);
                 } catch (HiveException e) {
                     throw new AlgebricksException(e);
                 }
@@ -352,7 +364,8 @@
             udafPartial = udafsPartial.get(threadId);
             if (udafPartial == null) {
                 try {
-                    udafPartial = FunctionRegistry.getGenericUDAFEvaluator(genericUDAFName, types, distinct, false);
+                    udafPartial = FunctionRegistry.getGenericUDAFEvaluator(genericUDAFName, oiListForTypes, distinct,
+                            false);
                 } catch (HiveException e) {
                     throw new AlgebricksException(e);
                 }
diff --git a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/operator/filewrite/HiveFileWritePushRuntime.java b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/operator/filewrite/HiveFileWritePushRuntime.java
index e89a4c4..4bbb21f 100644
--- a/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/operator/filewrite/HiveFileWritePushRuntime.java
+++ b/hivesterix/hivesterix-runtime/src/main/java/edu/uci/ics/hivesterix/runtime/operator/filewrite/HiveFileWritePushRuntime.java
@@ -12,156 +12,176 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package edu.uci.ics.hivesterix.runtime.operator.filewrite;
-
-import java.nio.ByteBuffer;
-
-import org.apache.hadoop.hive.ql.exec.FileSinkOperator;
-import org.apache.hadoop.hive.ql.exec.OperatorFactory;
-import org.apache.hadoop.hive.ql.exec.RowSchema;
-import org.apache.hadoop.hive.ql.metadata.HiveException;
-import org.apache.hadoop.hive.ql.plan.FileSinkDesc;
-import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
-import org.apache.hadoop.mapred.JobConf;
-
-import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
-import edu.uci.ics.hivesterix.serde.lazy.LazyColumnar;
-import edu.uci.ics.hivesterix.serde.lazy.objectinspector.LazyColumnarObjectInspector;
-import edu.uci.ics.hyracks.algebricks.runtime.base.IPushRuntime;
-import edu.uci.ics.hyracks.api.comm.IFrameWriter;
-import edu.uci.ics.hyracks.api.context.IHyracksTaskContext;
-import edu.uci.ics.hyracks.api.dataflow.value.RecordDescriptor;
-import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
-import edu.uci.ics.hyracks.dataflow.common.comm.io.FrameTupleAccessor;
-import edu.uci.ics.hyracks.dataflow.common.data.accessors.FrameTupleReference;
-
-@SuppressWarnings("deprecation")
-public class HiveFileWritePushRuntime implements IPushRuntime {
-
-	/**
-	 * frame tuple accessor to access byte buffer
-	 */
-	private final FrameTupleAccessor accessor;
-
-	/**
-	 * input object inspector
-	 */
-	private final ObjectInspector inputInspector;
-
-	/**
-	 * cachedInput
-	 */
-	private final LazyColumnar cachedInput;
-
-	/**
-	 * File sink operator of Hive
-	 */
-	private final FileSinkDesc fileSink;
-
-	/**
-	 * job configuration, which contain name node and other configuration
-	 * information
-	 */
-	private JobConf conf;
-
-	/**
-	 * input object inspector
-	 */
-	private final Schema inputSchema;
-
-	/**
-	 * a copy of hive schema representation
-	 */
-	private RowSchema rowSchema;
-
-	/**
-	 * the Hive file sink operator
-	 */
-	private FileSinkOperator fsOp;
-
-	/**
-	 * cached tuple object reference
-	 */
-	private FrameTupleReference tuple = new FrameTupleReference();
-
-	/**
-	 * @param spec
-	 * @param fsProvider
-	 */
-	public HiveFileWritePushRuntime(IHyracksTaskContext context,
-			RecordDescriptor inputRecordDesc, JobConf job, FileSinkDesc fs,
-			RowSchema schema, Schema oi) {
-		fileSink = fs;
-		fileSink.setGatherStats(false);
-
-		rowSchema = schema;
-		conf = job;
-		inputSchema = oi;
-
-		accessor = new FrameTupleAccessor(context.getFrameSize(),
-				inputRecordDesc);
-		inputInspector = inputSchema.toObjectInspector();
-		cachedInput = new LazyColumnar(
-				(LazyColumnarObjectInspector) inputInspector);
-	}
-
-	@Override
-	public void open() throws HyracksDataException {
-		fsOp = (FileSinkOperator) OperatorFactory.get(fileSink, rowSchema);
-		fsOp.setChildOperators(null);
-		fsOp.setParentOperators(null);
-		conf.setClassLoader(this.getClass().getClassLoader());
-
-		ObjectInspector[] inspectors = new ObjectInspector[1];
-		inspectors[0] = inputInspector;
-		try {
-			fsOp.initialize(conf, inspectors);
-			fsOp.setExecContext(null);
-		} catch (Exception e) {
-			e.printStackTrace();
-		}
-	}
-
-	@Override
-	public void nextFrame(ByteBuffer buffer) throws HyracksDataException {
-		accessor.reset(buffer);
-		int n = accessor.getTupleCount();
-		try {
-			for (int i = 0; i < n; ++i) {
-				tuple.reset(accessor, i);
-				cachedInput.init(tuple);
-				fsOp.process(cachedInput, 0);
-			}
-		} catch (HiveException e) {
-			throw new HyracksDataException(e);
-		}
-	}
-
-	@Override
-	public void close() throws HyracksDataException {
-		try {
-			Thread.currentThread().setContextClassLoader(
-					this.getClass().getClassLoader());
-			fsOp.closeOp(false);
-		} catch (HiveException e) {
-			throw new HyracksDataException(e);
-		}
-	}
-
-	@Override
-	public void setFrameWriter(int index, IFrameWriter writer,
-			RecordDescriptor recordDesc) {
-		throw new IllegalStateException();
-	}
-
-	@Override
-	public void setInputRecordDescriptor(int index,
-			RecordDescriptor recordDescriptor) {
-	}
-
-	@Override
-	public void fail() throws HyracksDataException {
-
-	}
-
-}
+package edu.uci.ics.hivesterix.runtime.operator.filewrite;
+
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.util.logging.Logger;
+
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.ql.exec.FileSinkOperator;
+import org.apache.hadoop.hive.ql.exec.OperatorFactory;
+import org.apache.hadoop.hive.ql.exec.RowSchema;
+import org.apache.hadoop.hive.ql.exec.Utilities;
+import org.apache.hadoop.hive.ql.metadata.HiveException;
+import org.apache.hadoop.hive.ql.plan.FileSinkDesc;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.shims.ShimLoader;
+import org.apache.hadoop.mapred.JobConf;
+
+import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
+import edu.uci.ics.hivesterix.serde.lazy.LazyColumnar;
+import edu.uci.ics.hivesterix.serde.lazy.objectinspector.LazyColumnarObjectInspector;
+import edu.uci.ics.hyracks.algebricks.runtime.base.IPushRuntime;
+import edu.uci.ics.hyracks.api.comm.IFrameWriter;
+import edu.uci.ics.hyracks.api.context.IHyracksTaskContext;
+import edu.uci.ics.hyracks.api.dataflow.value.RecordDescriptor;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.dataflow.common.comm.io.FrameTupleAccessor;
+import edu.uci.ics.hyracks.dataflow.common.data.accessors.FrameTupleReference;
+
+@SuppressWarnings("deprecation")
+public class HiveFileWritePushRuntime implements IPushRuntime {
+    private final static Logger LOGGER = Logger.getLogger(HiveFileWritePushRuntime.class.getName());
+
+    /**
+     * frame tuple accessor to access byte buffer
+     */
+    private final FrameTupleAccessor accessor;
+
+    /**
+     * input object inspector
+     */
+    private final ObjectInspector inputInspector;
+
+    /**
+     * cachedInput
+     */
+    private final LazyColumnar cachedInput;
+
+    /**
+     * File sink operator of Hive
+     */
+    private final FileSinkDesc fileSink;
+
+    /**
+     * job configuration, which contain name node and other configuration
+     * information
+     */
+    private JobConf conf;
+
+    /**
+     * input object inspector
+     */
+    private final Schema inputSchema;
+
+    /**
+     * a copy of hive schema representation
+     */
+    private RowSchema rowSchema;
+
+    /**
+     * the Hive file sink operator
+     */
+    private FileSinkOperator fsOp;
+
+    /**
+     * cached tuple object reference
+     */
+    private FrameTupleReference tuple = new FrameTupleReference();
+
+    /**
+     * @param spec
+     * @param fsProvider
+     */
+    public HiveFileWritePushRuntime(IHyracksTaskContext context, RecordDescriptor inputRecordDesc, JobConf job,
+            FileSinkDesc fs, RowSchema schema, Schema oi) {
+        fileSink = fs;
+        fileSink.setGatherStats(false);
+
+        rowSchema = schema;
+        conf = job;
+        inputSchema = oi;
+
+        accessor = new FrameTupleAccessor(context.getFrameSize(), inputRecordDesc);
+        inputInspector = inputSchema.toObjectInspector();
+        cachedInput = new LazyColumnar((LazyColumnarObjectInspector) inputInspector);
+    }
+
+    @Override
+    public void open() throws HyracksDataException {
+        fsOp = (FileSinkOperator) OperatorFactory.get(fileSink, rowSchema);
+        fsOp.setChildOperators(null);
+        fsOp.setParentOperators(null);
+        conf.setClassLoader(this.getClass().getClassLoader());
+
+        ObjectInspector[] inspectors = new ObjectInspector[1];
+        inspectors[0] = inputInspector;
+        try {
+            fsOp.initialize(conf, inspectors);
+            fsOp.setExecContext(null);
+            createTempDir();
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+    }
+
+    @Override
+    public void nextFrame(ByteBuffer buffer) throws HyracksDataException {
+        accessor.reset(buffer);
+        int n = accessor.getTupleCount();
+        try {
+            for (int i = 0; i < n; ++i) {
+                tuple.reset(accessor, i);
+                cachedInput.init(tuple);
+                fsOp.process(cachedInput, 0);
+            }
+        } catch (HiveException e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    @Override
+    public void close() throws HyracksDataException {
+        try {
+            Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
+            fsOp.closeOp(false);
+        } catch (HiveException e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    @Override
+    public void setFrameWriter(int index, IFrameWriter writer, RecordDescriptor recordDesc) {
+        throw new IllegalStateException();
+    }
+
+    @Override
+    public void setInputRecordDescriptor(int index, RecordDescriptor recordDescriptor) {
+    }
+
+    @Override
+    public void fail() throws HyracksDataException {
+
+    }
+
+    private void createTempDir() throws IOException {
+        FileSinkDesc fdesc = fsOp.getConf();
+        String tempDir = fdesc.getDirName();
+        if (tempDir != null) {
+            Path tempPath = Utilities.toTempPath(new Path(tempDir));
+            FileSystem fs = tempPath.getFileSystem(conf);
+            if (!fs.exists(tempPath)) {
+                try {
+                    fs.mkdirs(tempPath);
+                    ShimLoader.getHadoopShims().fileSystemDeleteOnExit(fs, tempPath);
+                } catch (IOException e) {
+                    //if the dir already exists, that should be fine; so log a warning msg
+                    LOGGER.warning("create tmp result directory fails.");
+                }
+            }
+        }
+    }
+
+}
diff --git a/hivesterix/hivesterix-serde/pom.xml b/hivesterix/hivesterix-serde/pom.xml
index 97c9174..b53661b 100644
--- a/hivesterix/hivesterix-serde/pom.xml
+++ b/hivesterix/hivesterix-serde/pom.xml
@@ -18,7 +18,7 @@
 	<parent>
 		<artifactId>hivesterix</artifactId>
 		<groupId>edu.uci.ics.hyracks</groupId>
-		<version>0.2.7-SNAPSHOT</version>
+		<version>0.2.10-SNAPSHOT</version>
 	</parent>
 
 	<artifactId>hivesterix-serde</artifactId>
@@ -42,37 +42,37 @@
 
 	<dependencies>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-serde</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
+			<groupId>org.apache.hive</groupId>
 			<artifactId>hive-common</artifactId>
-			<version>0.7.0</version>
+			<version>0.11.0</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>algebricks-compiler</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
-                        <groupId>edu.uci.ics.hyracks</groupId>
-                        <artifactId>hivesterix-common</artifactId>
-                        <version>0.2.7-SNAPSHOT</version>
-                        <type>jar</type>
-                        <scope>compile</scope>
-                </dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hyracks-hdfs-core</artifactId>
+			<version>0.2.10-SNAPSHOT</version>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
 		<dependency>
 			<groupId>junit</groupId>
 			<artifactId>junit</artifactId>
-			<version>3.8.1</version>
+			<version>4.8.1</version>
 			<scope>test</scope>
 		</dependency>
 	</dependencies>
diff --git a/hivesterix/hivesterix-serde/src/main/java/edu/uci/ics/hivesterix/serde/lazy/LazySerDe.java b/hivesterix/hivesterix-serde/src/main/java/edu/uci/ics/hivesterix/serde/lazy/LazySerDe.java
index b5d64e8..2bbb1d5 100644
--- a/hivesterix/hivesterix-serde/src/main/java/edu/uci/ics/hivesterix/serde/lazy/LazySerDe.java
+++ b/hivesterix/hivesterix-serde/src/main/java/edu/uci/ics/hivesterix/serde/lazy/LazySerDe.java
@@ -46,6 +46,7 @@
 import org.apache.hadoop.hive.serde2.ByteStream.Output;
 import org.apache.hadoop.hive.serde2.SerDe;
 import org.apache.hadoop.hive.serde2.SerDeException;
+import org.apache.hadoop.hive.serde2.SerDeStats;
 import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector;
 import org.apache.hadoop.hive.serde2.objectinspector.MapObjectInspector;
 import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
@@ -74,6 +75,7 @@
  * deserialized until required. Binary means a field is serialized in binary
  * compact format.
  */
+@SuppressWarnings("deprecation")
 public class LazySerDe implements SerDe {
 
     public static final Log LOG = LogFactory.getLog(LazySerDe.class.getName());
@@ -140,7 +142,6 @@
     /**
      * Deserialize a table record to a Lazy struct.
      */
-    @SuppressWarnings("deprecation")
     @Override
     public Object deserialize(Writable field) throws SerDeException {
         if (byteArrayRef == null) {
@@ -471,4 +472,9 @@
             }
         }
     }
+
+	@Override
+	public SerDeStats getSerDeStats() {
+		return null;
+	}
 }
diff --git a/hivesterix/hivesterix-translator/pom.xml b/hivesterix/hivesterix-translator/pom.xml
index 8a24d5e..d8c205f 100644
--- a/hivesterix/hivesterix-translator/pom.xml
+++ b/hivesterix/hivesterix-translator/pom.xml
@@ -21,7 +21,7 @@
 	<parent>
 		<artifactId>hivesterix</artifactId>
 		<groupId>edu.uci.ics.hyracks</groupId>
-		<version>0.2.7-SNAPSHOT</version>
+		<version>0.2.10-SNAPSHOT</version>
 	</parent>
 
 	<build>
@@ -42,30 +42,23 @@
 
 	<dependencies>
 		<dependency>
-			<groupId>org.apache.hadoop.hive</groupId>
-			<artifactId>hive-exec</artifactId>
-			<version>0.7.0</version>
-			<type>jar</type>
-			<scope>compile</scope>
-		</dependency>
-		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>algebricks-compiler</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hivesterix-common</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
 		<dependency>
 			<groupId>edu.uci.ics.hyracks</groupId>
 			<artifactId>hivesterix-runtime</artifactId>
-			<version>0.2.7-SNAPSHOT</version>
+			<version>0.2.10-SNAPSHOT</version>
 			<type>jar</type>
 			<scope>compile</scope>
 		</dependency>
diff --git a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/HiveAlgebricksTranslator.java b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/HiveAlgebricksTranslator.java
index f32d85b..76cc51d 100644
--- a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/HiveAlgebricksTranslator.java
+++ b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/HiveAlgebricksTranslator.java
@@ -12,810 +12,809 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package edu.uci.ics.hivesterix.logical.plan;
-
-import java.io.OutputStreamWriter;
-import java.io.PrintWriter;
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Set;
-
-import org.apache.commons.lang3.mutable.Mutable;
-import org.apache.commons.lang3.mutable.MutableObject;
-import org.apache.hadoop.hive.ql.exec.ColumnInfo;
-import org.apache.hadoop.hive.ql.exec.ExtractOperator;
-import org.apache.hadoop.hive.ql.exec.FileSinkOperator;
-import org.apache.hadoop.hive.ql.exec.FilterOperator;
-import org.apache.hadoop.hive.ql.exec.GroupByOperator;
-import org.apache.hadoop.hive.ql.exec.JoinOperator;
-import org.apache.hadoop.hive.ql.exec.LateralViewJoinOperator;
-import org.apache.hadoop.hive.ql.exec.LimitOperator;
-import org.apache.hadoop.hive.ql.exec.MapJoinOperator;
-import org.apache.hadoop.hive.ql.exec.Operator;
-import org.apache.hadoop.hive.ql.exec.ReduceSinkOperator;
-import org.apache.hadoop.hive.ql.exec.SelectOperator;
-import org.apache.hadoop.hive.ql.exec.TableScanOperator;
-import org.apache.hadoop.hive.ql.exec.UDF;
-import org.apache.hadoop.hive.ql.exec.UDTFOperator;
-import org.apache.hadoop.hive.ql.exec.UnionOperator;
-import org.apache.hadoop.hive.ql.plan.AggregationDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeFieldDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeNullDesc;
-import org.apache.hadoop.hive.ql.plan.PartitionDesc;
-import org.apache.hadoop.hive.ql.plan.UDTFDesc;
-import org.apache.hadoop.hive.ql.plan.api.OperatorType;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFBridge;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
-
-import edu.uci.ics.hivesterix.logical.expression.ExpressionConstant;
-import edu.uci.ics.hivesterix.logical.expression.HiveAlgebricksBuiltInFunctionMap;
-import edu.uci.ics.hivesterix.logical.expression.HiveFunctionInfo;
-import edu.uci.ics.hivesterix.logical.expression.HivesterixConstantValue;
-import edu.uci.ics.hivesterix.logical.plan.visitor.ExtractVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.FilterVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.GroupByVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.JoinVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.LateralViewJoinVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.LimitVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.MapJoinVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.ProjectVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.SortVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.TableScanWriteVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.UnionVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.base.Translator;
-import edu.uci.ics.hivesterix.logical.plan.visitor.base.Visitor;
-import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
-import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalPlan;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AggregateFunctionCallExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.ConstantExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.ScalarFunctionCallExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.UnnestingFunctionCallExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.functions.FunctionIdentifier;
-import edu.uci.ics.hyracks.algebricks.core.algebra.metadata.IMetadataProvider;
-import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.AssignOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.ReplicateOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.plan.ALogicalPlanImpl;
-import edu.uci.ics.hyracks.algebricks.core.algebra.prettyprint.LogicalOperatorPrettyPrintVisitor;
-import edu.uci.ics.hyracks.algebricks.core.algebra.prettyprint.PlanPrettyPrinter;
-
-@SuppressWarnings("rawtypes")
-public class HiveAlgebricksTranslator implements Translator {
-
-    private int currentVariable = 0;
-
-    private List<Mutable<ILogicalOperator>> logicalOp = new ArrayList<Mutable<ILogicalOperator>>();
-
-    private boolean continueTraverse = true;
-
-    private IMetadataProvider<PartitionDesc, Object> metaData;
-
-    /**
-     * map variable name to the logical variable
-     */
-    private HashMap<String, LogicalVariable> nameToLogicalVariableMap = new HashMap<String, LogicalVariable>();
-
-    /**
-     * map field name to LogicalVariable
-     */
-    private HashMap<String, LogicalVariable> fieldToLogicalVariableMap = new HashMap<String, LogicalVariable>();
-
-    /**
-     * map logical variable to name
-     */
-    private HashMap<LogicalVariable, String> logicalVariableToFieldMap = new HashMap<LogicalVariable, String>();
-
-    /**
-     * asterix root operators
-     */
-    private List<Mutable<ILogicalOperator>> rootOperators = new ArrayList<Mutable<ILogicalOperator>>();
-
-    /**
-     * a list of visitors
-     */
-    private List<Visitor> visitors = new ArrayList<Visitor>();
-
-    /**
-     * output writer to print things out
-     */
-    private static PrintWriter outputWriter = new PrintWriter(new OutputStreamWriter(System.out));
-
-    /**
-     * map a logical variable to type info
-     */
-    private HashMap<LogicalVariable, TypeInfo> variableToType = new HashMap<LogicalVariable, TypeInfo>();
-
-    @Override
-    public LogicalVariable getVariable(String fieldName, TypeInfo type) {
-        LogicalVariable var = fieldToLogicalVariableMap.get(fieldName);
-        if (var == null) {
-            currentVariable++;
-            var = new LogicalVariable(currentVariable);
-            fieldToLogicalVariableMap.put(fieldName, var);
-            nameToLogicalVariableMap.put(var.toString(), var);
-            variableToType.put(var, type);
-            logicalVariableToFieldMap.put(var, fieldName);
-        }
-        return var;
-    }
-
-    @Override
-    public LogicalVariable getNewVariable(String fieldName, TypeInfo type) {
-        currentVariable++;
-        LogicalVariable var = new LogicalVariable(currentVariable);
-        fieldToLogicalVariableMap.put(fieldName, var);
-        nameToLogicalVariableMap.put(var.toString(), var);
-        variableToType.put(var, type);
-        logicalVariableToFieldMap.put(var, fieldName);
-        return var;
-    }
-
-    @Override
-    public void replaceVariable(LogicalVariable oldVar, LogicalVariable newVar) {
-        String name = this.logicalVariableToFieldMap.get(oldVar);
-        if (name != null) {
-            fieldToLogicalVariableMap.put(name, newVar);
-            nameToLogicalVariableMap.put(newVar.toString(), newVar);
-            nameToLogicalVariableMap.put(oldVar.toString(), newVar);
-            logicalVariableToFieldMap.put(newVar, name);
-        }
-    }
-
-    @Override
-    public IMetadataProvider<PartitionDesc, Object> getMetadataProvider() {
-        return metaData;
-    }
-
-    /**
-     * only get an variable, without rewriting it
-     * 
-     * @param fieldName
-     * @return
-     */
-    private LogicalVariable getVariableOnly(String fieldName) {
-        return fieldToLogicalVariableMap.get(fieldName);
-    }
-
-    private void updateVariable(String fieldName, LogicalVariable variable) {
-        LogicalVariable var = fieldToLogicalVariableMap.get(fieldName);
-        if (var == null) {
-            fieldToLogicalVariableMap.put(fieldName, variable);
-            nameToLogicalVariableMap.put(fieldName, variable);
-        } else if (!var.equals(variable)) {
-            fieldToLogicalVariableMap.put(fieldName, variable);
-            nameToLogicalVariableMap.put(fieldName, variable);
-        }
-    }
-
-    /**
-     * get a list of logical variables from the schema
-     * 
-     * @param schema
-     * @return
-     */
-    @Override
-    public List<LogicalVariable> getVariablesFromSchema(Schema schema) {
-        List<LogicalVariable> variables = new ArrayList<LogicalVariable>();
-        List<String> names = schema.getNames();
-
-        for (String name : names)
-            variables.add(nameToLogicalVariableMap.get(name));
-        return variables;
-    }
-
-    /**
-     * get variable to typeinfo map
-     * 
-     * @return
-     */
-    public HashMap<LogicalVariable, TypeInfo> getVariableContext() {
-        return this.variableToType;
-    }
-
-    /**
-     * get the number of variables s
-     * 
-     * @return
-     */
-    public int getVariableCounter() {
-        return currentVariable + 1;
-    }
-
-    /**
-     * translate from hive operator tree to asterix operator tree
-     * 
-     * @param hive
-     *            roots
-     * @return Algebricks roots
-     */
-    public void translate(List<Operator> hiveRoot, ILogicalOperator parentOperator,
-            HashMap<String, PartitionDesc> aliasToPathMap) throws AlgebricksException {
-        /**
-         * register visitors
-         */
-        visitors.add(new FilterVisitor());
-        visitors.add(new GroupByVisitor());
-        visitors.add(new JoinVisitor());
-        visitors.add(new LateralViewJoinVisitor());
-        visitors.add(new UnionVisitor());
-        visitors.add(new LimitVisitor());
-        visitors.add(new MapJoinVisitor());
-        visitors.add(new ProjectVisitor());
-        visitors.add(new SortVisitor());
-        visitors.add(new ExtractVisitor());
-        visitors.add(new TableScanWriteVisitor(aliasToPathMap));
-
-        List<Mutable<ILogicalOperator>> refList = translate(hiveRoot, new MutableObject<ILogicalOperator>(
-                parentOperator));
-        insertReplicateOperator(refList);
-        if (refList != null)
-            rootOperators.addAll(refList);
-    }
-
-    /**
-     * translate operator DAG
-     * 
-     * @param hiveRoot
-     * @param AlgebricksParentOperator
-     * @return
-     */
-    private List<Mutable<ILogicalOperator>> translate(List<Operator> hiveRoot,
-            Mutable<ILogicalOperator> AlgebricksParentOperator) throws AlgebricksException {
-
-        for (Operator hiveOperator : hiveRoot) {
-            continueTraverse = true;
-            Mutable<ILogicalOperator> currentOperatorRef = null;
-            if (hiveOperator.getType() == OperatorType.FILTER) {
-                FilterOperator fop = (FilterOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.REDUCESINK) {
-                ReduceSinkOperator fop = (ReduceSinkOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.JOIN) {
-                JoinOperator fop = (JoinOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null) {
-                        continueTraverse = true;
-                        break;
-                    } else
-                        continueTraverse = false;
-                }
-                if (currentOperatorRef == null)
-                    return null;
-            } else if (hiveOperator.getType() == OperatorType.LATERALVIEWJOIN) {
-                LateralViewJoinOperator fop = (LateralViewJoinOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-                if (currentOperatorRef == null)
-                    return null;
-            } else if (hiveOperator.getType() == OperatorType.MAPJOIN) {
-                MapJoinOperator fop = (MapJoinOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null) {
-                        continueTraverse = true;
-                        break;
-                    } else
-                        continueTraverse = false;
-                }
-                if (currentOperatorRef == null)
-                    return null;
-            } else if (hiveOperator.getType() == OperatorType.SELECT) {
-                SelectOperator fop = (SelectOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.EXTRACT) {
-                ExtractOperator fop = (ExtractOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.GROUPBY) {
-                GroupByOperator fop = (GroupByOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.TABLESCAN) {
-                TableScanOperator fop = (TableScanOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.FILESINK) {
-                FileSinkOperator fop = (FileSinkOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.LIMIT) {
-                LimitOperator lop = (LimitOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(lop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.UDTF) {
-                UDTFOperator lop = (UDTFOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(lop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null)
-                        break;
-                }
-            } else if (hiveOperator.getType() == OperatorType.UNION) {
-                UnionOperator lop = (UnionOperator) hiveOperator;
-                for (Visitor visitor : visitors) {
-                    currentOperatorRef = visitor.visit(lop, AlgebricksParentOperator, this);
-                    if (currentOperatorRef != null) {
-                        continueTraverse = true;
-                        break;
-                    } else
-                        continueTraverse = false;
-                }
-            } else
-                ;
-            if (hiveOperator.getChildOperators() != null && hiveOperator.getChildOperators().size() > 0
-                    && continueTraverse) {
-                @SuppressWarnings("unchecked")
-                List<Operator> children = hiveOperator.getChildOperators();
-                if (currentOperatorRef == null)
-                    currentOperatorRef = AlgebricksParentOperator;
-                translate(children, currentOperatorRef);
-            }
-            if (hiveOperator.getChildOperators() == null || hiveOperator.getChildOperators().size() == 0)
-                logicalOp.add(currentOperatorRef);
-        }
-        return logicalOp;
-    }
-
-    /**
-     * used in select, group by to get no-column-expression columns
-     * 
-     * @param cols
-     * @return
-     */
-    public ILogicalOperator getAssignOperator(Mutable<ILogicalOperator> parent, List<ExprNodeDesc> cols,
-            ArrayList<LogicalVariable> variables) {
-
-        ArrayList<Mutable<ILogicalExpression>> expressions = new ArrayList<Mutable<ILogicalExpression>>();
-
-        /**
-         * variables to be appended in the assign operator
-         */
-        ArrayList<LogicalVariable> appendedVariables = new ArrayList<LogicalVariable>();
-
-        // one variable can only be assigned once
-        for (ExprNodeDesc hiveExpr : cols) {
-            rewriteExpression(hiveExpr);
-
-            if (hiveExpr instanceof ExprNodeColumnDesc) {
-                ExprNodeColumnDesc desc2 = (ExprNodeColumnDesc) hiveExpr;
-                String fieldName = desc2.getTabAlias() + "." + desc2.getColumn();
-
-                // System.out.println("project expr: " + fieldName);
-
-                if (fieldName.indexOf("$$") < 0) {
-                    LogicalVariable var = getVariable(fieldName, hiveExpr.getTypeInfo());
-                    desc2.setColumn(var.toString());
-                    desc2.setTabAlias("");
-                    variables.add(var);
-                } else {
-                    LogicalVariable var = nameToLogicalVariableMap.get(desc2.getColumn());
-                    String name = this.logicalVariableToFieldMap.get(var);
-                    var = this.getVariableOnly(name);
-                    variables.add(var);
-                }
-            } else {
-                Mutable<ILogicalExpression> asterixExpr = translateScalarFucntion(hiveExpr);
-                expressions.add(asterixExpr);
-                LogicalVariable var = getVariable(hiveExpr.getExprString() + asterixExpr.hashCode(),
-                        hiveExpr.getTypeInfo());
-                variables.add(var);
-                appendedVariables.add(var);
-            }
-        }
-
-        /**
-         * create an assign operator to deal with appending
-         */
-        ILogicalOperator assignOp = null;
-        if (appendedVariables.size() > 0) {
-            assignOp = new AssignOperator(appendedVariables, expressions);
-            assignOp.getInputs().add(parent);
-        }
-        return assignOp;
-    }
-
-    private ILogicalPlan plan;
-
-    public ILogicalPlan genLogicalPlan() {
-        plan = new ALogicalPlanImpl(rootOperators);
-        return plan;
-    }
-
-    public void printOperators() throws AlgebricksException {
-        LogicalOperatorPrettyPrintVisitor pvisitor = new LogicalOperatorPrettyPrintVisitor();
-        StringBuilder buffer = new StringBuilder();
-        PlanPrettyPrinter.printPlan(plan, buffer, pvisitor, 0);
-        outputWriter.println(buffer);
-        outputWriter.println("rewritten variables: ");
-        outputWriter.flush();
-        printVariables();
-
-    }
-
-    public static void setOutputPrinter(PrintWriter writer) {
-        outputWriter = writer;
-    }
-
-    private void printVariables() {
-        Set<Entry<String, LogicalVariable>> entries = fieldToLogicalVariableMap.entrySet();
-
-        for (Entry<String, LogicalVariable> entry : entries) {
-            outputWriter.println(entry.getKey() + " -> " + entry.getValue());
-        }
-        outputWriter.flush();
-    }
-
-    /**
-     * generate the object inspector for the output of an operator
-     * 
-     * @param operator
-     *            The Hive operator
-     * @return an ObjectInspector object
-     */
-    public Schema generateInputSchema(Operator operator) {
-        List<String> variableNames = new ArrayList<String>();
-        List<TypeInfo> typeList = new ArrayList<TypeInfo>();
-        List<ColumnInfo> columns = operator.getSchema().getSignature();
-
-        for (ColumnInfo col : columns) {
-            // typeList.add();
-            TypeInfo type = col.getType();
-            typeList.add(type);
-
-            String fieldName = col.getInternalName();
-            variableNames.add(fieldName);
-        }
-
-        return new Schema(variableNames, typeList);
-    }
-
-    /**
-     * rewrite the names of output columns for feature expression evaluators to
-     * use
-     * 
-     * @param operator
-     */
-    public void rewriteOperatorOutputSchema(Operator operator) {
-        List<ColumnInfo> columns = operator.getSchema().getSignature();
-
-        for (ColumnInfo column : columns) {
-            String columnName = column.getTabAlias() + "." + column.getInternalName();
-            if (columnName.indexOf("$$") < 0) {
-                LogicalVariable var = getVariable(columnName, column.getType());
-                column.setInternalName(var.toString());
-            }
-        }
-    }
-
-    @Override
-    public void rewriteOperatorOutputSchema(List<LogicalVariable> variables, Operator operator) {
-
-        //printOperatorSchema(operator);
-        List<ColumnInfo> columns = operator.getSchema().getSignature();
-        if (variables.size() != columns.size()) {
-            throw new IllegalStateException("output cardinality error " + operator.getName() + " variable size: "
-                    + variables.size() + " expected " + columns.size());
-        }
-
-        for (int i = 0; i < variables.size(); i++) {
-            LogicalVariable var = variables.get(i);
-            ColumnInfo column = columns.get(i);
-            String fieldName = column.getTabAlias() + "." + column.getInternalName();
-            if (fieldName.indexOf("$$") < 0) {
-                updateVariable(fieldName, var);
-                column.setInternalName(var.toString());
-            }
-        }
-        //printOperatorSchema(operator);
-    }
-
-    /**
-     * rewrite an expression and substitute variables
-     * 
-     * @param expr
-     *            hive expression
-     */
-    public void rewriteExpression(ExprNodeDesc expr) {
-        if (expr instanceof ExprNodeColumnDesc) {
-            ExprNodeColumnDesc desc = (ExprNodeColumnDesc) expr;
-            String fieldName = desc.getTabAlias() + "." + desc.getColumn();
-            if (fieldName.indexOf("$$") < 0) {
-                LogicalVariable var = getVariableOnly(fieldName);
-                if (var == null) {
-                    fieldName = "." + desc.getColumn();
-                    var = getVariableOnly(fieldName);
-                    if (var == null) {
-                        fieldName = "null." + desc.getColumn();
-                        var = getVariableOnly(fieldName);
-                        if (var == null) {
-                            throw new IllegalStateException(fieldName + " is wrong!!! ");
-                        }
-                    }
-                }
-                String name = this.logicalVariableToFieldMap.get(var);
-                var = getVariableOnly(name);
-                desc.setColumn(var.toString());
-            }
-        } else {
-            if (expr.getChildren() != null && expr.getChildren().size() > 0) {
-                List<ExprNodeDesc> children = expr.getChildren();
-                for (ExprNodeDesc desc : children)
-                    rewriteExpression(desc);
-            }
-        }
-    }
-
-    /**
-     * rewrite an expression and substitute variables
-     * 
-     * @param expr
-     *            hive expression
-     */
-    public void rewriteExpressionPartial(ExprNodeDesc expr) {
-        if (expr instanceof ExprNodeColumnDesc) {
-            ExprNodeColumnDesc desc = (ExprNodeColumnDesc) expr;
-            String fieldName = desc.getTabAlias() + "." + desc.getColumn();
-            if (fieldName.indexOf("$$") < 0) {
-                LogicalVariable var = getVariableOnly(fieldName);
-                desc.setColumn(var.toString());
-            }
-        } else {
-            if (expr.getChildren() != null && expr.getChildren().size() > 0) {
-                List<ExprNodeDesc> children = expr.getChildren();
-                for (ExprNodeDesc desc : children)
-                    rewriteExpressionPartial(desc);
-            }
-        }
-    }
-
-    // private void printOperatorSchema(Operator operator) {
-    // // System.out.println(operator.getName());
-    // // List<ColumnInfo> columns = operator.getSchema().getSignature();
-    // // for (ColumnInfo column : columns) {
-    // // System.out.print(column.getTabAlias() + "." +
-    // // column.getInternalName() + "  ");
-    // // }
-    // // System.out.println();
-    // }
-
-    /**
-     * translate scalar function expression
-     * 
-     * @param hiveExpr
-     * @return
-     */
-    public Mutable<ILogicalExpression> translateScalarFucntion(ExprNodeDesc hiveExpr) {
-        ILogicalExpression AlgebricksExpr;
-
-        if (hiveExpr instanceof ExprNodeGenericFuncDesc) {
-            List<Mutable<ILogicalExpression>> arguments = new ArrayList<Mutable<ILogicalExpression>>();
-            List<ExprNodeDesc> children = hiveExpr.getChildren();
-
-            for (ExprNodeDesc child : children)
-                arguments.add(translateScalarFucntion(child));
-
-            ExprNodeGenericFuncDesc funcExpr = (ExprNodeGenericFuncDesc) hiveExpr;
-            GenericUDF genericUdf = funcExpr.getGenericUDF();
-            UDF udf = null;
-            if (genericUdf instanceof GenericUDFBridge) {
-                GenericUDFBridge bridge = (GenericUDFBridge) genericUdf;
-                try {
-                    udf = bridge.getUdfClass().newInstance();
-                } catch (Exception e) {
-                    e.printStackTrace();
-                }
-            }
-
-            /**
-             * set up the hive function
-             */
-            Object hiveFunction = genericUdf;
-            if (udf != null)
-                hiveFunction = udf;
-
-            FunctionIdentifier funcId = HiveAlgebricksBuiltInFunctionMap.INSTANCE.getAlgebricksFunctionId(hiveFunction
-                    .getClass());
-            if (funcId == null) {
-                funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, hiveFunction.getClass().getName());
-            }
-
-            Object functionInfo = null;
-            if (genericUdf instanceof GenericUDFBridge) {
-                functionInfo = funcExpr;
-            }
-
-            /**
-             * generate the function call expression
-             */
-            ScalarFunctionCallExpression AlgebricksFuncExpr = new ScalarFunctionCallExpression(new HiveFunctionInfo(
-                    funcId, functionInfo), arguments);
-            AlgebricksExpr = AlgebricksFuncExpr;
-
-        } else if (hiveExpr instanceof ExprNodeColumnDesc) {
-            ExprNodeColumnDesc column = (ExprNodeColumnDesc) hiveExpr;
-            LogicalVariable var = this.getVariable(column.getColumn());
-            AlgebricksExpr = new VariableReferenceExpression(var);
-
-        } else if (hiveExpr instanceof ExprNodeFieldDesc) {
-            FunctionIdentifier funcId;
-            funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, ExpressionConstant.FIELDACCESS);
-
-            ScalarFunctionCallExpression AlgebricksFuncExpr = new ScalarFunctionCallExpression(new HiveFunctionInfo(
-                    funcId, hiveExpr));
-            AlgebricksExpr = AlgebricksFuncExpr;
-        } else if (hiveExpr instanceof ExprNodeConstantDesc) {
-            ExprNodeConstantDesc hiveConst = (ExprNodeConstantDesc) hiveExpr;
-            Object value = hiveConst.getValue();
-            AlgebricksExpr = new ConstantExpression(new HivesterixConstantValue(value));
-        } else if (hiveExpr instanceof ExprNodeNullDesc) {
-            FunctionIdentifier funcId;
-            funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, ExpressionConstant.NULL);
-
-            ScalarFunctionCallExpression AlgebricksFuncExpr = new ScalarFunctionCallExpression(new HiveFunctionInfo(
-                    funcId, hiveExpr));
-
-            AlgebricksExpr = AlgebricksFuncExpr;
-        } else {
-            throw new IllegalStateException("unknown hive expression");
-        }
-        return new MutableObject<ILogicalExpression>(AlgebricksExpr);
-    }
-
-    /**
-     * translate aggregation function expression
-     * 
-     * @param aggregateDesc
-     * @return
-     */
-    public Mutable<ILogicalExpression> translateAggregation(AggregationDesc aggregateDesc) {
-
-        String UDAFName = aggregateDesc.getGenericUDAFName();
-
-        List<Mutable<ILogicalExpression>> arguments = new ArrayList<Mutable<ILogicalExpression>>();
-        List<ExprNodeDesc> children = aggregateDesc.getParameters();
-
-        for (ExprNodeDesc child : children)
-            arguments.add(translateScalarFucntion(child));
-
-        FunctionIdentifier funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, UDAFName + "("
-                + aggregateDesc.getMode() + ")");
-        HiveFunctionInfo funcInfo = new HiveFunctionInfo(funcId, aggregateDesc);
-        AggregateFunctionCallExpression aggregationExpression = new AggregateFunctionCallExpression(funcInfo, false,
-                arguments);
-        return new MutableObject<ILogicalExpression>(aggregationExpression);
-    }
-
-    /**
-     * translate aggregation function expression
-     * 
-     * @param aggregator
-     * @return
-     */
-    public Mutable<ILogicalExpression> translateUnnestFunction(UDTFDesc udtfDesc, Mutable<ILogicalExpression> argument) {
-
-        String UDTFName = udtfDesc.getUDTFName();
-
-        FunctionIdentifier funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, UDTFName);
-        UnnestingFunctionCallExpression unnestingExpression = new UnnestingFunctionCallExpression(new HiveFunctionInfo(
-                funcId, udtfDesc));
-        unnestingExpression.getArguments().add(argument);
-        return new MutableObject<ILogicalExpression>(unnestingExpression);
-    }
-
-    /**
-     * get typeinfo
-     */
-    @Override
-    public TypeInfo getType(LogicalVariable var) {
-        return variableToType.get(var);
-    }
-
-    /**
-     * get variable from variable name
-     */
-    @Override
-    public LogicalVariable getVariable(String name) {
-        return nameToLogicalVariableMap.get(name);
-    }
-
-    @Override
-    public LogicalVariable getVariableFromFieldName(String fieldName) {
-        return this.getVariableOnly(fieldName);
-    }
-
-    /**
-     * set the metadata provider
-     */
-    @Override
-    public void setMetadataProvider(IMetadataProvider<PartitionDesc, Object> metadata) {
-        this.metaData = metadata;
-    }
-
-    /**
-     * insert ReplicateOperator when necessary
-     */
-    private void insertReplicateOperator(List<Mutable<ILogicalOperator>> roots) {
-        Map<Mutable<ILogicalOperator>, List<Mutable<ILogicalOperator>>> childToParentsMap = new HashMap<Mutable<ILogicalOperator>, List<Mutable<ILogicalOperator>>>();
-        buildChildToParentsMapping(roots, childToParentsMap);
-        for (Entry<Mutable<ILogicalOperator>, List<Mutable<ILogicalOperator>>> entry : childToParentsMap.entrySet()) {
-            List<Mutable<ILogicalOperator>> pList = entry.getValue();
-            if (pList.size() > 1) {
-                ILogicalOperator rop = new ReplicateOperator(pList.size());
-                Mutable<ILogicalOperator> ropRef = new MutableObject<ILogicalOperator>(rop);
-                Mutable<ILogicalOperator> childRef = entry.getKey();
-                rop.getInputs().add(childRef);
-                for (Mutable<ILogicalOperator> parentRef : pList) {
-                    ILogicalOperator parentOp = parentRef.getValue();
-                    int index = parentOp.getInputs().indexOf(childRef);
-                    parentOp.getInputs().set(index, ropRef);
-                }
-            }
-        }
-    }
-
-    /**
-     * build the mapping from child to Parents
-     * 
-     * @param roots
-     * @param childToParentsMap
-     */
-    private void buildChildToParentsMapping(List<Mutable<ILogicalOperator>> roots,
-            Map<Mutable<ILogicalOperator>, List<Mutable<ILogicalOperator>>> map) {
-        for (Mutable<ILogicalOperator> opRef : roots) {
-            List<Mutable<ILogicalOperator>> childRefs = opRef.getValue().getInputs();
-            for (Mutable<ILogicalOperator> childRef : childRefs) {
-                List<Mutable<ILogicalOperator>> parentList = map.get(childRef);
-                if (parentList == null) {
-                    parentList = new ArrayList<Mutable<ILogicalOperator>>();
-                    map.put(childRef, parentList);
-                }
-                if (!parentList.contains(opRef))
-                    parentList.add(opRef);
-            }
-            buildChildToParentsMapping(childRefs, map);
-        }
-    }
-}
+package edu.uci.ics.hivesterix.logical.plan;
+
+import java.io.OutputStreamWriter;
+import java.io.PrintWriter;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Map.Entry;
+import java.util.Set;
+
+import org.apache.commons.lang3.mutable.Mutable;
+import org.apache.commons.lang3.mutable.MutableObject;
+import org.apache.hadoop.hive.ql.exec.ColumnInfo;
+import org.apache.hadoop.hive.ql.exec.ExtractOperator;
+import org.apache.hadoop.hive.ql.exec.FileSinkOperator;
+import org.apache.hadoop.hive.ql.exec.FilterOperator;
+import org.apache.hadoop.hive.ql.exec.GroupByOperator;
+import org.apache.hadoop.hive.ql.exec.JoinOperator;
+import org.apache.hadoop.hive.ql.exec.LateralViewJoinOperator;
+import org.apache.hadoop.hive.ql.exec.LimitOperator;
+import org.apache.hadoop.hive.ql.exec.MapJoinOperator;
+import org.apache.hadoop.hive.ql.exec.Operator;
+import org.apache.hadoop.hive.ql.exec.ReduceSinkOperator;
+import org.apache.hadoop.hive.ql.exec.SelectOperator;
+import org.apache.hadoop.hive.ql.exec.TableScanOperator;
+import org.apache.hadoop.hive.ql.exec.UDF;
+import org.apache.hadoop.hive.ql.exec.UDTFOperator;
+import org.apache.hadoop.hive.ql.exec.UnionOperator;
+import org.apache.hadoop.hive.ql.plan.AggregationDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeFieldDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeNullDesc;
+import org.apache.hadoop.hive.ql.plan.PartitionDesc;
+import org.apache.hadoop.hive.ql.plan.UDTFDesc;
+import org.apache.hadoop.hive.ql.plan.api.OperatorType;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFBridge;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+
+import edu.uci.ics.hivesterix.logical.expression.ExpressionConstant;
+import edu.uci.ics.hivesterix.logical.expression.HiveAlgebricksBuiltInFunctionMap;
+import edu.uci.ics.hivesterix.logical.expression.HiveFunctionInfo;
+import edu.uci.ics.hivesterix.logical.expression.HivesterixConstantValue;
+import edu.uci.ics.hivesterix.logical.plan.visitor.ExtractVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.FilterVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.GroupByVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.JoinVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.LateralViewJoinVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.LimitVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.MapJoinVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.ProjectVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.SortVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.TableScanWriteVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.UnionVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.base.Translator;
+import edu.uci.ics.hivesterix.logical.plan.visitor.base.Visitor;
+import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
+import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalPlan;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.AggregateFunctionCallExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.ConstantExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.ScalarFunctionCallExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.UnnestingFunctionCallExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.functions.FunctionIdentifier;
+import edu.uci.ics.hyracks.algebricks.core.algebra.metadata.IMetadataProvider;
+import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.AssignOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.ReplicateOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.plan.ALogicalPlanImpl;
+import edu.uci.ics.hyracks.algebricks.core.algebra.prettyprint.LogicalOperatorPrettyPrintVisitor;
+import edu.uci.ics.hyracks.algebricks.core.algebra.prettyprint.PlanPrettyPrinter;
+
+@SuppressWarnings("rawtypes")
+public class HiveAlgebricksTranslator implements Translator {
+
+    private int currentVariable = 0;
+
+    private List<Mutable<ILogicalOperator>> logicalOp = new ArrayList<Mutable<ILogicalOperator>>();
+
+    private boolean continueTraverse = true;
+
+    private IMetadataProvider<PartitionDesc, Object> metaData;
+
+    /**
+     * map variable name to the logical variable
+     */
+    private HashMap<String, LogicalVariable> nameToLogicalVariableMap = new HashMap<String, LogicalVariable>();
+
+    /**
+     * map field name to LogicalVariable
+     */
+    private HashMap<String, LogicalVariable> fieldToLogicalVariableMap = new HashMap<String, LogicalVariable>();
+
+    /**
+     * map logical variable to name
+     */
+    private HashMap<LogicalVariable, String> logicalVariableToFieldMap = new HashMap<LogicalVariable, String>();
+
+    /**
+     * asterix root operators
+     */
+    private List<Mutable<ILogicalOperator>> rootOperators = new ArrayList<Mutable<ILogicalOperator>>();
+
+    /**
+     * a list of visitors
+     */
+    private List<Visitor> visitors = new ArrayList<Visitor>();
+
+    /**
+     * output writer to print things out
+     */
+    private static PrintWriter outputWriter = new PrintWriter(new OutputStreamWriter(System.out));
+
+    /**
+     * map a logical variable to type info
+     */
+    private HashMap<LogicalVariable, TypeInfo> variableToType = new HashMap<LogicalVariable, TypeInfo>();
+
+    @Override
+    public LogicalVariable getVariable(String fieldName, TypeInfo type) {
+        LogicalVariable var = fieldToLogicalVariableMap.get(fieldName);
+        if (var == null) {
+            currentVariable++;
+            var = new LogicalVariable(currentVariable);
+            fieldToLogicalVariableMap.put(fieldName, var);
+            nameToLogicalVariableMap.put(var.toString(), var);
+            variableToType.put(var, type);
+            logicalVariableToFieldMap.put(var, fieldName);
+        }
+        return var;
+    }
+
+    @Override
+    public LogicalVariable getNewVariable(String fieldName, TypeInfo type) {
+        currentVariable++;
+        LogicalVariable var = new LogicalVariable(currentVariable);
+        fieldToLogicalVariableMap.put(fieldName, var);
+        nameToLogicalVariableMap.put(var.toString(), var);
+        variableToType.put(var, type);
+        logicalVariableToFieldMap.put(var, fieldName);
+        return var;
+    }
+
+    @Override
+    public void replaceVariable(LogicalVariable oldVar, LogicalVariable newVar) {
+        String name = this.logicalVariableToFieldMap.get(oldVar);
+        if (name != null) {
+            fieldToLogicalVariableMap.put(name, newVar);
+            nameToLogicalVariableMap.put(newVar.toString(), newVar);
+            nameToLogicalVariableMap.put(oldVar.toString(), newVar);
+            logicalVariableToFieldMap.put(newVar, name);
+        }
+    }
+
+    @Override
+    public IMetadataProvider<PartitionDesc, Object> getMetadataProvider() {
+        return metaData;
+    }
+
+    /**
+     * only get an variable, without rewriting it
+     * 
+     * @param fieldName
+     * @return
+     */
+    private LogicalVariable getVariableOnly(String fieldName) {
+        return fieldToLogicalVariableMap.get(fieldName);
+    }
+
+    public void updateVariable(String fieldName, LogicalVariable variable) {
+        LogicalVariable var = fieldToLogicalVariableMap.get(fieldName);
+        if (var == null) {
+            fieldToLogicalVariableMap.put(fieldName, variable);
+            nameToLogicalVariableMap.put(fieldName, variable);
+        } else if (!var.equals(variable)) {
+            fieldToLogicalVariableMap.put(fieldName, variable);
+            nameToLogicalVariableMap.put(fieldName, variable);
+        }
+    }
+
+    /**
+     * get a list of logical variables from the schema
+     * 
+     * @param schema
+     * @return
+     */
+    @Override
+    public List<LogicalVariable> getVariablesFromSchema(Schema schema) {
+        List<LogicalVariable> variables = new ArrayList<LogicalVariable>();
+        List<String> names = schema.getNames();
+
+        for (String name : names)
+            variables.add(nameToLogicalVariableMap.get(name));
+        return variables;
+    }
+
+    /**
+     * get variable to typeinfo map
+     * 
+     * @return
+     */
+    public HashMap<LogicalVariable, TypeInfo> getVariableContext() {
+        return this.variableToType;
+    }
+
+    /**
+     * get the number of variables s
+     * 
+     * @return
+     */
+    public int getVariableCounter() {
+        return currentVariable + 1;
+    }
+
+    /**
+     * translate from hive operator tree to asterix operator tree
+     * 
+     * @param hive
+     *            roots
+     * @return Algebricks roots
+     */
+    public void translate(List<Operator> hiveRoot, ILogicalOperator parentOperator,
+            HashMap<String, PartitionDesc> aliasToPathMap) throws AlgebricksException {
+        /**
+         * register visitors
+         */
+        visitors.add(new FilterVisitor());
+        visitors.add(new GroupByVisitor());
+        visitors.add(new JoinVisitor());
+        visitors.add(new LateralViewJoinVisitor());
+        visitors.add(new UnionVisitor());
+        visitors.add(new LimitVisitor());
+        visitors.add(new MapJoinVisitor());
+        visitors.add(new ProjectVisitor());
+        visitors.add(new SortVisitor());
+        visitors.add(new ExtractVisitor());
+        visitors.add(new TableScanWriteVisitor(aliasToPathMap));
+
+        List<Mutable<ILogicalOperator>> refList = translate(hiveRoot, new MutableObject<ILogicalOperator>(
+                parentOperator));
+        insertReplicateOperator(refList);
+        if (refList != null)
+            rootOperators.addAll(refList);
+    }
+
+    /**
+     * translate operator DAG
+     * 
+     * @param hiveRoot
+     * @param AlgebricksParentOperator
+     * @return
+     */
+    private List<Mutable<ILogicalOperator>> translate(List<Operator> hiveRoot,
+            Mutable<ILogicalOperator> AlgebricksParentOperator) throws AlgebricksException {
+
+        for (Operator hiveOperator : hiveRoot) {
+            continueTraverse = true;
+            Mutable<ILogicalOperator> currentOperatorRef = null;
+            if (hiveOperator.getType() == OperatorType.FILTER) {
+                FilterOperator fop = (FilterOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.REDUCESINK) {
+                ReduceSinkOperator fop = (ReduceSinkOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.JOIN) {
+                JoinOperator fop = (JoinOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null) {
+                        continueTraverse = true;
+                        break;
+                    } else
+                        continueTraverse = false;
+                }
+                if (currentOperatorRef == null)
+                    return null;
+            } else if (hiveOperator.getType() == OperatorType.LATERALVIEWJOIN) {
+                LateralViewJoinOperator fop = (LateralViewJoinOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+                if (currentOperatorRef == null)
+                    return null;
+            } else if (hiveOperator.getType() == OperatorType.MAPJOIN) {
+                MapJoinOperator fop = (MapJoinOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null) {
+                        continueTraverse = true;
+                        break;
+                    } else
+                        continueTraverse = false;
+                }
+                if (currentOperatorRef == null)
+                    return null;
+            } else if (hiveOperator.getType() == OperatorType.SELECT) {
+                SelectOperator fop = (SelectOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.EXTRACT) {
+                ExtractOperator fop = (ExtractOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.GROUPBY) {
+                GroupByOperator fop = (GroupByOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.TABLESCAN) {
+                TableScanOperator fop = (TableScanOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.FILESINK) {
+                FileSinkOperator fop = (FileSinkOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(fop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.LIMIT) {
+                LimitOperator lop = (LimitOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(lop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.UDTF) {
+                UDTFOperator lop = (UDTFOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(lop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null)
+                        break;
+                }
+            } else if (hiveOperator.getType() == OperatorType.UNION) {
+                UnionOperator lop = (UnionOperator) hiveOperator;
+                for (Visitor visitor : visitors) {
+                    currentOperatorRef = visitor.visit(lop, AlgebricksParentOperator, this);
+                    if (currentOperatorRef != null) {
+                        continueTraverse = true;
+                        break;
+                    } else
+                        continueTraverse = false;
+                }
+            } else
+                ;
+            if (hiveOperator.getChildOperators() != null && hiveOperator.getChildOperators().size() > 0
+                    && continueTraverse) {
+                @SuppressWarnings("unchecked")
+                List<Operator> children = hiveOperator.getChildOperators();
+                if (currentOperatorRef == null)
+                    currentOperatorRef = AlgebricksParentOperator;
+                translate(children, currentOperatorRef);
+            }
+            if (hiveOperator.getChildOperators() == null || hiveOperator.getChildOperators().size() == 0)
+                logicalOp.add(currentOperatorRef);
+        }
+        return logicalOp;
+    }
+
+    /**
+     * used in select, group by to get no-column-expression columns
+     * 
+     * @param cols
+     * @return
+     */
+    public ILogicalOperator getAssignOperator(Mutable<ILogicalOperator> parent, List<ExprNodeDesc> cols,
+            ArrayList<LogicalVariable> variables) {
+
+        ArrayList<Mutable<ILogicalExpression>> expressions = new ArrayList<Mutable<ILogicalExpression>>();
+
+        /**
+         * variables to be appended in the assign operator
+         */
+        ArrayList<LogicalVariable> appendedVariables = new ArrayList<LogicalVariable>();
+
+        // one variable can only be assigned once
+        for (ExprNodeDesc hiveExpr : cols) {
+            rewriteExpression(hiveExpr);
+
+            if (hiveExpr instanceof ExprNodeColumnDesc) {
+                ExprNodeColumnDesc desc2 = (ExprNodeColumnDesc) hiveExpr;
+                String fieldName = desc2.getTabAlias() + "." + desc2.getColumn();
+
+                // System.out.println("project expr: " + fieldName);
+
+                if (fieldName.indexOf("$$") < 0) {
+                    LogicalVariable var = getVariable(fieldName, hiveExpr.getTypeInfo());
+                    desc2.setColumn(var.toString());
+                    desc2.setTabAlias("");
+                    variables.add(var);
+                } else {
+                    LogicalVariable var = nameToLogicalVariableMap.get(desc2.getColumn());
+                    String name = this.logicalVariableToFieldMap.get(var);
+                    var = this.getVariableOnly(name);
+                    variables.add(var);
+                }
+            } else {
+                Mutable<ILogicalExpression> asterixExpr = translateScalarFucntion(hiveExpr);
+                expressions.add(asterixExpr);
+                LogicalVariable var = getVariable(hiveExpr.getExprString() + asterixExpr.hashCode(),
+                        hiveExpr.getTypeInfo());
+                variables.add(var);
+                appendedVariables.add(var);
+            }
+        }
+
+        /**
+         * create an assign operator to deal with appending
+         */
+        ILogicalOperator assignOp = null;
+        if (appendedVariables.size() > 0) {
+            assignOp = new AssignOperator(appendedVariables, expressions);
+            assignOp.getInputs().add(parent);
+        }
+        return assignOp;
+    }
+
+    private ILogicalPlan plan;
+
+    public ILogicalPlan genLogicalPlan() {
+        plan = new ALogicalPlanImpl(rootOperators);
+        return plan;
+    }
+
+    public void printOperators() throws AlgebricksException {
+        LogicalOperatorPrettyPrintVisitor pvisitor = new LogicalOperatorPrettyPrintVisitor();
+        StringBuilder buffer = new StringBuilder();
+        PlanPrettyPrinter.printPlan(plan, buffer, pvisitor, 0);
+        outputWriter.println(buffer);
+        outputWriter.println("rewritten variables: ");
+        outputWriter.flush();
+        printVariables();
+
+    }
+
+    public static void setOutputPrinter(PrintWriter writer) {
+        outputWriter = writer;
+    }
+
+    private void printVariables() {
+        Set<Entry<String, LogicalVariable>> entries = fieldToLogicalVariableMap.entrySet();
+
+        for (Entry<String, LogicalVariable> entry : entries) {
+            outputWriter.println(entry.getKey() + " -> " + entry.getValue());
+        }
+        outputWriter.flush();
+    }
+
+    /**
+     * generate the object inspector for the output of an operator
+     * 
+     * @param operator
+     *            The Hive operator
+     * @return an ObjectInspector object
+     */
+    public Schema generateInputSchema(Operator operator) {
+        List<String> variableNames = new ArrayList<String>();
+        List<TypeInfo> typeList = new ArrayList<TypeInfo>();
+        List<ColumnInfo> columns = operator.getSchema().getSignature();
+
+        for (ColumnInfo col : columns) {
+            // typeList.add();
+            TypeInfo type = col.getType();
+            typeList.add(type);
+
+            String fieldName = col.getInternalName();
+            variableNames.add(fieldName);
+        }
+
+        return new Schema(variableNames, typeList);
+    }
+
+    /**
+     * rewrite the names of output columns for feature expression evaluators to
+     * use
+     * 
+     * @param operator
+     */
+    public void rewriteOperatorOutputSchema(Operator operator) {
+        List<ColumnInfo> columns = operator.getSchema().getSignature();
+        for (ColumnInfo column : columns) {
+            String columnName = column.getTabAlias() + "." + column.getInternalName();
+            if (columnName.indexOf("$$") < 0) {
+                LogicalVariable var = getVariable(columnName, column.getType());
+                column.setInternalName(var.toString());
+            }
+        }
+    }
+
+    @Override
+    public void rewriteOperatorOutputSchema(List<LogicalVariable> variables, Operator operator) {
+        // printOperatorSchema(operator);
+        List<ColumnInfo> columns = operator.getSchema().getSignature();
+        // if (variables.size() != columns.size()) {
+        // throw new IllegalStateException("output cardinality error " +
+        // operator.getName() + " variable size: "
+        // + variables.size() + " expected " + columns.size());
+        // }
+        for (int i = 0; i < variables.size(); i++) {
+            LogicalVariable var = variables.get(i);
+            ColumnInfo column = columns.get(i);
+            String fieldName = column.getTabAlias() + "." + column.getInternalName();
+            if (fieldName.indexOf("$$") < 0) {
+                updateVariable(fieldName, var);
+                column.setInternalName(var.toString());
+            }
+        }
+
+        // printOperatorSchema(operator);
+    }
+
+    /**
+     * rewrite an expression and substitute variables
+     * 
+     * @param expr
+     *            hive expression
+     */
+    public void rewriteExpression(ExprNodeDesc expr) {
+        if (expr instanceof ExprNodeColumnDesc) {
+            ExprNodeColumnDesc desc = (ExprNodeColumnDesc) expr;
+            String fieldName = desc.getTabAlias() + "." + desc.getColumn();
+            if (fieldName.indexOf("$$") < 0) {
+                LogicalVariable var = getVariableOnly(fieldName);
+                if (var == null) {
+                    fieldName = "." + desc.getColumn();
+                    var = getVariableOnly(fieldName);
+                    if (var == null) {
+                        fieldName = "null." + desc.getColumn();
+                        var = getVariableOnly(fieldName);
+                        if (var == null) {
+                            throw new IllegalStateException(fieldName + " is wrong!!! ");
+                        }
+                    }
+                }
+                String name = this.logicalVariableToFieldMap.get(var);
+                var = getVariableOnly(name);
+                desc.setColumn(var.toString());
+            }
+        } else {
+            if (expr.getChildren() != null && expr.getChildren().size() > 0) {
+                List<ExprNodeDesc> children = expr.getChildren();
+                for (ExprNodeDesc desc : children)
+                    rewriteExpression(desc);
+            }
+        }
+    }
+
+    /**
+     * rewrite an expression and substitute variables
+     * 
+     * @param expr
+     *            hive expression
+     */
+    public void rewriteExpressionPartial(ExprNodeDesc expr) {
+        if (expr instanceof ExprNodeColumnDesc) {
+            ExprNodeColumnDesc desc = (ExprNodeColumnDesc) expr;
+            String fieldName = desc.getTabAlias() + "." + desc.getColumn();
+            if (fieldName.indexOf("$$") < 0) {
+                LogicalVariable var = getVariableOnly(fieldName);
+                desc.setColumn(var.toString());
+            }
+        } else {
+            if (expr.getChildren() != null && expr.getChildren().size() > 0) {
+                List<ExprNodeDesc> children = expr.getChildren();
+                for (ExprNodeDesc desc : children)
+                    rewriteExpressionPartial(desc);
+            }
+        }
+    }
+
+    // private void printOperatorSchema(Operator operator) {
+    // // System.out.println(operator.getName());
+    // // List<ColumnInfo> columns = operator.getSchema().getSignature();
+    // // for (ColumnInfo column : columns) {
+    // // System.out.print(column.getTabAlias() + "." +
+    // // column.getInternalName() + "  ");
+    // // }
+    // // System.out.println();
+    // }
+
+    /**
+     * translate scalar function expression
+     * 
+     * @param hiveExpr
+     * @return
+     */
+    public Mutable<ILogicalExpression> translateScalarFucntion(ExprNodeDesc hiveExpr) {
+        ILogicalExpression AlgebricksExpr;
+
+        if (hiveExpr instanceof ExprNodeGenericFuncDesc) {
+            List<Mutable<ILogicalExpression>> arguments = new ArrayList<Mutable<ILogicalExpression>>();
+            List<ExprNodeDesc> children = hiveExpr.getChildren();
+
+            for (ExprNodeDesc child : children)
+                arguments.add(translateScalarFucntion(child));
+
+            ExprNodeGenericFuncDesc funcExpr = (ExprNodeGenericFuncDesc) hiveExpr;
+            GenericUDF genericUdf = funcExpr.getGenericUDF();
+            UDF udf = null;
+            if (genericUdf instanceof GenericUDFBridge) {
+                GenericUDFBridge bridge = (GenericUDFBridge) genericUdf;
+                try {
+                    udf = bridge.getUdfClass().newInstance();
+                } catch (Exception e) {
+                    e.printStackTrace();
+                }
+            }
+
+            /**
+             * set up the hive function
+             */
+            Object hiveFunction = genericUdf;
+            if (udf != null)
+                hiveFunction = udf;
+
+            FunctionIdentifier funcId = HiveAlgebricksBuiltInFunctionMap.INSTANCE.getAlgebricksFunctionId(hiveFunction
+                    .getClass());
+            if (funcId == null) {
+                funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, hiveFunction.getClass().getName());
+            }
+
+            Object functionInfo = null;
+            if (genericUdf instanceof GenericUDFBridge) {
+                functionInfo = funcExpr;
+            }
+
+            /**
+             * generate the function call expression
+             */
+            ScalarFunctionCallExpression AlgebricksFuncExpr = new ScalarFunctionCallExpression(new HiveFunctionInfo(
+                    funcId, functionInfo), arguments);
+            AlgebricksExpr = AlgebricksFuncExpr;
+
+        } else if (hiveExpr instanceof ExprNodeColumnDesc) {
+            ExprNodeColumnDesc column = (ExprNodeColumnDesc) hiveExpr;
+            LogicalVariable var = this.getVariable(column.getColumn());
+            AlgebricksExpr = new VariableReferenceExpression(var);
+
+        } else if (hiveExpr instanceof ExprNodeFieldDesc) {
+            FunctionIdentifier funcId;
+            funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, ExpressionConstant.FIELDACCESS);
+
+            ScalarFunctionCallExpression AlgebricksFuncExpr = new ScalarFunctionCallExpression(new HiveFunctionInfo(
+                    funcId, hiveExpr));
+            AlgebricksExpr = AlgebricksFuncExpr;
+        } else if (hiveExpr instanceof ExprNodeConstantDesc) {
+            ExprNodeConstantDesc hiveConst = (ExprNodeConstantDesc) hiveExpr;
+            Object value = hiveConst.getValue();
+            AlgebricksExpr = new ConstantExpression(new HivesterixConstantValue(value));
+        } else if (hiveExpr instanceof ExprNodeNullDesc) {
+            FunctionIdentifier funcId;
+            funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, ExpressionConstant.NULL);
+
+            ScalarFunctionCallExpression AlgebricksFuncExpr = new ScalarFunctionCallExpression(new HiveFunctionInfo(
+                    funcId, hiveExpr));
+
+            AlgebricksExpr = AlgebricksFuncExpr;
+        } else {
+            throw new IllegalStateException("unknown hive expression");
+        }
+        return new MutableObject<ILogicalExpression>(AlgebricksExpr);
+    }
+
+    /**
+     * translate aggregation function expression
+     * 
+     * @param aggregateDesc
+     * @return
+     */
+    public Mutable<ILogicalExpression> translateAggregation(AggregationDesc aggregateDesc) {
+
+        String UDAFName = aggregateDesc.getGenericUDAFName();
+
+        List<Mutable<ILogicalExpression>> arguments = new ArrayList<Mutable<ILogicalExpression>>();
+        List<ExprNodeDesc> children = aggregateDesc.getParameters();
+
+        for (ExprNodeDesc child : children)
+            arguments.add(translateScalarFucntion(child));
+
+        FunctionIdentifier funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, UDAFName + "("
+                + aggregateDesc.getMode() + ")");
+        HiveFunctionInfo funcInfo = new HiveFunctionInfo(funcId, aggregateDesc);
+        AggregateFunctionCallExpression aggregationExpression = new AggregateFunctionCallExpression(funcInfo, false,
+                arguments);
+        return new MutableObject<ILogicalExpression>(aggregationExpression);
+    }
+
+    /**
+     * translate aggregation function expression
+     * 
+     * @param aggregator
+     * @return
+     */
+    public Mutable<ILogicalExpression> translateUnnestFunction(UDTFDesc udtfDesc, Mutable<ILogicalExpression> argument) {
+
+        String UDTFName = udtfDesc.getUDTFName();
+
+        FunctionIdentifier funcId = new FunctionIdentifier(ExpressionConstant.NAMESPACE, UDTFName);
+        UnnestingFunctionCallExpression unnestingExpression = new UnnestingFunctionCallExpression(new HiveFunctionInfo(
+                funcId, udtfDesc));
+        unnestingExpression.getArguments().add(argument);
+        return new MutableObject<ILogicalExpression>(unnestingExpression);
+    }
+
+    /**
+     * get typeinfo
+     */
+    @Override
+    public TypeInfo getType(LogicalVariable var) {
+        return variableToType.get(var);
+    }
+
+    /**
+     * get variable from variable name
+     */
+    @Override
+    public LogicalVariable getVariable(String name) {
+        return nameToLogicalVariableMap.get(name);
+    }
+
+    @Override
+    public LogicalVariable getVariableFromFieldName(String fieldName) {
+        return this.getVariableOnly(fieldName);
+    }
+
+    /**
+     * set the metadata provider
+     */
+    @Override
+    public void setMetadataProvider(IMetadataProvider<PartitionDesc, Object> metadata) {
+        this.metaData = metadata;
+    }
+
+    /**
+     * insert ReplicateOperator when necessary
+     */
+    private void insertReplicateOperator(List<Mutable<ILogicalOperator>> roots) {
+        Map<Mutable<ILogicalOperator>, List<Mutable<ILogicalOperator>>> childToParentsMap = new HashMap<Mutable<ILogicalOperator>, List<Mutable<ILogicalOperator>>>();
+        buildChildToParentsMapping(roots, childToParentsMap);
+        for (Entry<Mutable<ILogicalOperator>, List<Mutable<ILogicalOperator>>> entry : childToParentsMap.entrySet()) {
+            List<Mutable<ILogicalOperator>> pList = entry.getValue();
+            if (pList.size() > 1) {
+                ILogicalOperator rop = new ReplicateOperator(pList.size());
+                Mutable<ILogicalOperator> ropRef = new MutableObject<ILogicalOperator>(rop);
+                Mutable<ILogicalOperator> childRef = entry.getKey();
+                rop.getInputs().add(childRef);
+                for (Mutable<ILogicalOperator> parentRef : pList) {
+                    ILogicalOperator parentOp = parentRef.getValue();
+                    int index = parentOp.getInputs().indexOf(childRef);
+                    parentOp.getInputs().set(index, ropRef);
+                }
+            }
+        }
+    }
+
+    /**
+     * build the mapping from child to Parents
+     * 
+     * @param roots
+     * @param childToParentsMap
+     */
+    private void buildChildToParentsMapping(List<Mutable<ILogicalOperator>> roots,
+            Map<Mutable<ILogicalOperator>, List<Mutable<ILogicalOperator>>> map) {
+        for (Mutable<ILogicalOperator> opRef : roots) {
+            List<Mutable<ILogicalOperator>> childRefs = opRef.getValue().getInputs();
+            for (Mutable<ILogicalOperator> childRef : childRefs) {
+                List<Mutable<ILogicalOperator>> parentList = map.get(childRef);
+                if (parentList == null) {
+                    parentList = new ArrayList<Mutable<ILogicalOperator>>();
+                    map.put(childRef, parentList);
+                }
+                if (!parentList.contains(opRef))
+                    parentList.add(opRef);
+            }
+            buildChildToParentsMapping(childRefs, map);
+        }
+    }
+}
diff --git a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/LateralViewJoinVisitor.java b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/LateralViewJoinVisitor.java
index f4161a4..aa1837c 100644
--- a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/LateralViewJoinVisitor.java
+++ b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/LateralViewJoinVisitor.java
@@ -12,113 +12,145 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package edu.uci.ics.hivesterix.logical.plan.visitor;
-
-import java.util.ArrayList;
-import java.util.List;
-
-import org.apache.commons.lang3.mutable.Mutable;
-import org.apache.commons.lang3.mutable.MutableObject;
-import org.apache.hadoop.hive.ql.exec.LateralViewJoinOperator;
-import org.apache.hadoop.hive.ql.exec.Operator;
-import org.apache.hadoop.hive.ql.exec.UDTFOperator;
-import org.apache.hadoop.hive.ql.plan.UDTFDesc;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
-
-import edu.uci.ics.hivesterix.logical.plan.visitor.base.DefaultVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.base.Translator;
-import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
-import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
-import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.UnnestOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.visitors.VariableUtilities;
-
-/**
- * The lateral view join operator is used for FROM src LATERAL VIEW udtf()...
- * This operator was implemented with the following operator DAG in mind.
- * For a query such as
- * SELECT pageid, adid.* FROM example_table LATERAL VIEW explode(adid_list) AS
- * adid
- * The top of the operator DAG will look similar to
- * [Table Scan] | [Lateral View Forward] / \ [Select](*) [Select](adid_list) | |
- * | [UDTF] (explode) \ / [Lateral View Join] | | [Select] (pageid, adid.*) |
- * ....
- * Rows from the table scan operator are first to a lateral view forward
- * operator that just forwards the row and marks the start of a LV. The select
- * operator on the left picks all the columns while the select operator on the
- * right picks only the columns needed by the UDTF.
- * The output of select in the left branch and output of the UDTF in the right
- * branch are then sent to the lateral view join (LVJ). In most cases, the UDTF
- * will generate > 1 row for every row received from the TS, while the left
- * select operator will generate only one. For each row output from the TS, the
- * LVJ outputs all possible rows that can be created by joining the row from the
- * left select and one of the rows output from the UDTF.
- * Additional lateral views can be supported by adding a similar DAG after the
- * previous LVJ operator.
- */
-
-@SuppressWarnings("rawtypes")
-public class LateralViewJoinVisitor extends DefaultVisitor {
-
-    private UDTFDesc udtf;
-
-    private List<Mutable<ILogicalOperator>> parents = new ArrayList<Mutable<ILogicalOperator>>();
-
-    @Override
-    public Mutable<ILogicalOperator> visit(LateralViewJoinOperator operator,
-            Mutable<ILogicalOperator> AlgebricksParentOperatorRef, Translator t) throws AlgebricksException {
-
-        parents.add(AlgebricksParentOperatorRef);
-        if (operator.getParentOperators().size() > parents.size()) {
-            return null;
-        }
-
-        Operator parent0 = operator.getParentOperators().get(0);
-        ILogicalOperator parentOperator;
-        ILogicalExpression unnestArg;
-        if (parent0 instanceof UDTFOperator) {
-            List<LogicalVariable> unnestVars = new ArrayList<LogicalVariable>();
-            VariableUtilities.getLiveVariables(parents.get(1).getValue(), unnestVars);
-            unnestArg = new VariableReferenceExpression(unnestVars.get(0));
-            parentOperator = parents.get(1).getValue();
-        } else {
-            List<LogicalVariable> unnestVars = new ArrayList<LogicalVariable>();
-            VariableUtilities.getLiveVariables(parents.get(0).getValue(), unnestVars);
-            unnestArg = new VariableReferenceExpression(unnestVars.get(0));
-            parentOperator = parents.get(0).getValue();
-        }
-
-        LogicalVariable var = t.getVariable(udtf.toString(), TypeInfoFactory.unknownTypeInfo);
-
-        Mutable<ILogicalExpression> unnestExpr = t.translateUnnestFunction(udtf, new MutableObject<ILogicalExpression>(
-                unnestArg));
-        ILogicalOperator currentOperator = new UnnestOperator(var, unnestExpr);
-
-        List<LogicalVariable> outputVars = new ArrayList<LogicalVariable>();
-        VariableUtilities.getLiveVariables(parentOperator, outputVars);
-        outputVars.add(var);
-        currentOperator.getInputs().add(new MutableObject<ILogicalOperator>(parentOperator));
-
-        parents.clear();
-        udtf = null;
-        t.rewriteOperatorOutputSchema(outputVars, operator);
-        return new MutableObject<ILogicalOperator>(currentOperator);
-    }
-
-    @Override
-    public Mutable<ILogicalOperator> visit(UDTFOperator operator,
-            Mutable<ILogicalOperator> AlgebricksParentOperatorRef, Translator t) {
-        Schema currentSchema = t.generateInputSchema(operator.getParentOperators().get(0));
-        udtf = (UDTFDesc) operator.getConf();
-
-        // populate the schema from upstream operator
-        operator.setSchema(operator.getParentOperators().get(0).getSchema());
-        List<LogicalVariable> latestOutputSchema = t.getVariablesFromSchema(currentSchema);
-        t.rewriteOperatorOutputSchema(latestOutputSchema, operator);
-        return null;
-    }
-
-}
+package edu.uci.ics.hivesterix.logical.plan.visitor;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.commons.lang3.mutable.Mutable;
+import org.apache.commons.lang3.mutable.MutableObject;
+import org.apache.hadoop.hive.ql.exec.ColumnInfo;
+import org.apache.hadoop.hive.ql.exec.LateralViewJoinOperator;
+import org.apache.hadoop.hive.ql.exec.Operator;
+import org.apache.hadoop.hive.ql.exec.UDTFOperator;
+import org.apache.hadoop.hive.ql.plan.LateralViewJoinDesc;
+import org.apache.hadoop.hive.ql.plan.UDTFDesc;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+
+import edu.uci.ics.hivesterix.logical.plan.visitor.base.DefaultVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.base.Translator;
+import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
+import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
+import edu.uci.ics.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.ProjectOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.UnnestOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.visitors.VariableUtilities;
+
+/**
+ * The lateral view join operator is used for FROM src LATERAL VIEW udtf()...
+ * This operator was implemented with the following operator DAG in mind.
+ * For a query such as
+ * SELECT pageid, adid.* FROM example_table LATERAL VIEW explode(adid_list) AS
+ * adid
+ * The top of the operator DAG will look similar to
+ * [Table Scan] | [Lateral View Forward] / \ [Select](*) [Select](adid_list) | |
+ * | [UDTF] (explode) \ / [Lateral View Join] | | [Select] (pageid, adid.*) |
+ * ....
+ * Rows from the table scan operator are first to a lateral view forward
+ * operator that just forwards the row and marks the start of a LV. The select
+ * operator on the left picks all the columns while the select operator on the
+ * right picks only the columns needed by the UDTF.
+ * The output of select in the left branch and output of the UDTF in the right
+ * branch are then sent to the lateral view join (LVJ). In most cases, the UDTF
+ * will generate > 1 row for every row received from the TS, while the left
+ * select operator will generate only one. For each row output from the TS, the
+ * LVJ outputs all possible rows that can be created by joining the row from the
+ * left select and one of the rows output from the UDTF.
+ * Additional lateral views can be supported by adding a similar DAG after the
+ * previous LVJ operator.
+ */
+
+@SuppressWarnings("rawtypes")
+public class LateralViewJoinVisitor extends DefaultVisitor {
+
+    private UDTFDesc udtf;
+
+    private List<Mutable<ILogicalOperator>> parents = new ArrayList<Mutable<ILogicalOperator>>();
+
+    @Override
+    public Mutable<ILogicalOperator> visit(LateralViewJoinOperator operator,
+            Mutable<ILogicalOperator> AlgebricksParentOperatorRef, Translator t) throws AlgebricksException {
+
+        parents.add(AlgebricksParentOperatorRef);
+        if (operator.getParentOperators().size() > parents.size()) {
+            return null;
+        }
+
+        ILogicalOperator parentOperator = null;
+        ILogicalExpression unnestArg = null;
+        List<LogicalVariable> projectVariables = new ArrayList<LogicalVariable>();
+        for (Mutable<ILogicalOperator> parentLOpRef : parents) {
+            VariableUtilities.getLiveVariables(parentLOpRef.getValue(), projectVariables);
+        }
+        for (Operator parentOp : operator.getParentOperators()) {
+            if (parentOp instanceof UDTFOperator) {
+                int index = operator.getParentOperators().indexOf(parentOp);
+                List<LogicalVariable> unnestVars = new ArrayList<LogicalVariable>();
+                VariableUtilities.getLiveVariables(parents.get(index).getValue(), unnestVars);
+                unnestArg = new VariableReferenceExpression(unnestVars.get(0));
+                parentOperator = parents.get(index).getValue();
+            }
+        }
+
+        LogicalVariable var = t.getVariable(udtf.toString(), TypeInfoFactory.unknownTypeInfo);
+        Mutable<ILogicalExpression> unnestExpr = t.translateUnnestFunction(udtf, new MutableObject<ILogicalExpression>(
+                unnestArg));
+        ILogicalOperator currentOperator = new UnnestOperator(var, unnestExpr);
+
+        List<LogicalVariable> outputVars = new ArrayList<LogicalVariable>();
+        VariableUtilities.getLiveVariables(parents.get(0).getValue(), outputVars);
+        outputVars.add(var);
+        ILogicalOperator inputProjectOperator = new ProjectOperator(projectVariables);
+        currentOperator.getInputs().add(new MutableObject<ILogicalOperator>(inputProjectOperator));
+        inputProjectOperator.getInputs().addAll(parentOperator.getInputs());
+
+        parents.clear();
+        udtf = null;
+        List<ColumnInfo> inputSchema = operator.getSchema().getSignature();
+        rewriteOperatorDesc(outputVars, operator.getConf(), inputSchema, t);
+        //t.rewriteOperatorOutputSchema(outputVars, operator);
+        return new MutableObject<ILogicalOperator>(currentOperator);
+    }
+
+    @Override
+    public Mutable<ILogicalOperator> visit(UDTFOperator operator,
+            Mutable<ILogicalOperator> AlgebricksParentOperatorRef, Translator t) {
+        Schema currentSchema = t.generateInputSchema(operator.getParentOperators().get(0));
+        udtf = (UDTFDesc) operator.getConf();
+
+        // populate the schema from upstream operator
+        operator.setSchema(operator.getParentOperators().get(0).getSchema());
+        List<LogicalVariable> latestOutputSchema = t.getVariablesFromSchema(currentSchema);
+        t.rewriteOperatorOutputSchema(latestOutputSchema, operator);
+        return null;
+    }
+
+    private void rewriteOperatorDesc(List<LogicalVariable> variables, LateralViewJoinDesc desc,
+            List<ColumnInfo> schema, Translator t) {
+        List<String> outputFieldNames = desc.getOutputInternalColNames();
+        for (int i = 0; i < variables.size(); i++) {
+            LogicalVariable var = variables.get(i);
+            String fieldName = outputFieldNames.get(i);
+            String tabAlias = findTabAlias(fieldName, schema);
+            fieldName = tabAlias + "." + fieldName;
+            if (fieldName.indexOf("$$") < 0) {
+                //outputFieldNames.set(i, var.toString());
+                t.updateVariable(fieldName, var);
+            }
+        }
+    }
+
+    private String findTabAlias(String fieldName, List<ColumnInfo> schema) {
+        for (int i = 0; i < schema.size(); i++) {
+            ColumnInfo column = schema.get(i);
+            if (column.getInternalName().equals(fieldName)) {
+                return column.getTabAlias();
+            }
+        }
+        return "null";
+    }
+
+}
diff --git a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/MapJoinVisitor.java b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/MapJoinVisitor.java
index 186b291..3ed9786 100644
--- a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/MapJoinVisitor.java
+++ b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/MapJoinVisitor.java
@@ -14,36 +14,36 @@
  */
 package edu.uci.ics.hivesterix.logical.plan.visitor;
 
-import java.io.Serializable;
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Set;
-
-import org.apache.commons.lang3.mutable.Mutable;
-import org.apache.commons.lang3.mutable.MutableObject;
-import org.apache.hadoop.hive.ql.exec.ColumnInfo;
-import org.apache.hadoop.hive.ql.exec.MapJoinOperator;
-import org.apache.hadoop.hive.ql.exec.Operator;
-import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
-import org.apache.hadoop.hive.ql.plan.MapJoinDesc;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqual;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
-
-import edu.uci.ics.hivesterix.logical.plan.visitor.base.DefaultVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.base.Translator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
-import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.InnerJoinOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.ProjectOperator;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import java.util.Map.Entry;
+import java.util.Set;
+
+import org.apache.commons.lang3.mutable.Mutable;
+import org.apache.commons.lang3.mutable.MutableObject;
+import org.apache.hadoop.hive.ql.exec.ColumnInfo;
+import org.apache.hadoop.hive.ql.exec.MapJoinOperator;
+import org.apache.hadoop.hive.ql.exec.Operator;
+import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
+import org.apache.hadoop.hive.ql.plan.MapJoinDesc;
+import org.apache.hadoop.hive.ql.plan.OperatorDesc;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqual;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+
+import edu.uci.ics.hivesterix.logical.plan.visitor.base.DefaultVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.base.Translator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
+import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.InnerJoinOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.ProjectOperator;
 
 @SuppressWarnings("rawtypes")
 public class MapJoinVisitor extends DefaultVisitor {
@@ -56,7 +56,7 @@
     @Override
     public Mutable<ILogicalOperator> visit(MapJoinOperator operator,
             Mutable<ILogicalOperator> AlgebricksParentOperatorRef, Translator t) {
-        List<Operator<? extends Serializable>> joinSrc = operator.getParentOperators();
+        List<Operator<? extends OperatorDesc>> joinSrc = operator.getParentOperators();
         List<Mutable<ILogicalOperator>> parents = opMap.get(operator);
         if (parents == null) {
             parents = new ArrayList<Mutable<ILogicalOperator>>();
diff --git a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/TableScanWriteVisitor.java b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/TableScanWriteVisitor.java
index 74cebaa..25abdec 100644
--- a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/TableScanWriteVisitor.java
+++ b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/TableScanWriteVisitor.java
@@ -69,9 +69,9 @@
 
     @Override
     public Mutable<ILogicalOperator> visit(TableScanOperator operator,
-            Mutable<ILogicalOperator> AlgebricksParentOperator, Translator t) throws AlgebricksException {
+            Mutable<ILogicalOperator> AlgebricksParentOperator, Translator t) throws AlgebricksException {    	
         TableScanDesc desc = (TableScanDesc) operator.getConf();
-        if (desc == null) {
+        if (desc == null || desc.getAlias()==null) {
             List<LogicalVariable> schema = new ArrayList<LogicalVariable>();
             VariableUtilities.getLiveVariables(AlgebricksParentOperator.getValue(), schema);
             t.rewriteOperatorOutputSchema(schema, operator);
@@ -124,7 +124,6 @@
     @Override
     public Mutable<ILogicalOperator> visit(FileSinkOperator hiveOperator,
             Mutable<ILogicalOperator> AlgebricksParentOperator, Translator t) {
-
         if (hiveOperator.getChildOperators() != null && hiveOperator.getChildOperators().size() > 0)
             return null;
 
diff --git a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/UnionVisitor.java b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/UnionVisitor.java
index 1cb5121..c710f3f 100644
--- a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/UnionVisitor.java
+++ b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/UnionVisitor.java
@@ -14,21 +14,21 @@
  */
 package edu.uci.ics.hivesterix.logical.plan.visitor;
 
-import java.util.ArrayList;
-import java.util.List;
-
-import org.apache.commons.lang3.mutable.Mutable;
-import org.apache.commons.lang3.mutable.MutableObject;
-import org.apache.hadoop.hive.ql.exec.UnionOperator;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
-
-import edu.uci.ics.hivesterix.logical.plan.visitor.base.DefaultVisitor;
-import edu.uci.ics.hivesterix.logical.plan.visitor.base.Translator;
-import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
-import edu.uci.ics.hyracks.algebricks.common.utils.Triple;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
-import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.visitors.VariableUtilities;
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.commons.lang3.mutable.Mutable;
+import org.apache.commons.lang3.mutable.MutableObject;
+import org.apache.hadoop.hive.ql.exec.UnionOperator;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+
+import edu.uci.ics.hivesterix.logical.plan.visitor.base.DefaultVisitor;
+import edu.uci.ics.hivesterix.logical.plan.visitor.base.Translator;
+import edu.uci.ics.hyracks.algebricks.common.exceptions.AlgebricksException;
+import edu.uci.ics.hyracks.algebricks.common.utils.Triple;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
+import edu.uci.ics.hyracks.algebricks.core.algebra.operators.logical.visitors.VariableUtilities;
 
 public class UnionVisitor extends DefaultVisitor {
 
@@ -46,8 +46,8 @@
         List<LogicalVariable> leftVars = new ArrayList<LogicalVariable>();
         List<LogicalVariable> rightVars = new ArrayList<LogicalVariable>();
 
-        VariableUtilities.getUsedVariables(parents.get(0).getValue(), leftVars);
-        VariableUtilities.getUsedVariables(parents.get(1).getValue(), rightVars);
+        VariableUtilities.getLiveVariables(parents.get(0).getValue(), leftVars);
+        VariableUtilities.getLiveVariables(parents.get(1).getValue(), rightVars);
 
         List<Triple<LogicalVariable, LogicalVariable, LogicalVariable>> triples = new ArrayList<Triple<LogicalVariable, LogicalVariable, LogicalVariable>>();
         List<LogicalVariable> unionVars = new ArrayList<LogicalVariable>();
diff --git a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/base/Translator.java b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/base/Translator.java
index 32b0f66..5b6ac50 100644
--- a/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/base/Translator.java
+++ b/hivesterix/hivesterix-translator/src/main/java/edu/uci/ics/hivesterix/logical/plan/visitor/base/Translator.java
@@ -12,173 +12,181 @@
  * See the License for the specific language governing permissions and
  * limitations under the License.
  */
-package edu.uci.ics.hivesterix.logical.plan.visitor.base;
-
-import java.util.ArrayList;
-import java.util.List;
-
-import org.apache.commons.lang3.mutable.Mutable;
-import org.apache.hadoop.hive.ql.exec.Operator;
-import org.apache.hadoop.hive.ql.plan.AggregationDesc;
-import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
-import org.apache.hadoop.hive.ql.plan.PartitionDesc;
-import org.apache.hadoop.hive.ql.plan.UDTFDesc;
-import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
-
-import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
-import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
-import edu.uci.ics.hyracks.algebricks.core.algebra.metadata.IMetadataProvider;
-
-@SuppressWarnings("rawtypes")
-public interface Translator {
-
-    /**
-     * generate input schema
-     * 
-     * @param operator
-     * @return
-     */
-    public Schema generateInputSchema(Operator operator);
-
-    /**
-     * rewrite the names of output columns for feture expression evaluators to
-     * use
-     * 
-     * @param operator
-     */
-    public void rewriteOperatorOutputSchema(List<LogicalVariable> vars, Operator operator);
-
-    /**
-     * rewrite the names of output columns for feture expression evaluators to
-     * use
-     * 
-     * @param operator
-     */
-    public void rewriteOperatorOutputSchema(Operator operator);
-
-    /**
-     * rewrite an expression and substitute variables
-     * 
-     * @param expr
-     *            hive expression
-     */
-    public void rewriteExpression(ExprNodeDesc expr);
-
-    /**
-     * rewrite an expression and substitute variables
-     * 
-     * @param expr
-     *            hive expression
-     */
-    public void rewriteExpressionPartial(ExprNodeDesc expr);
-
-    /**
-     * get an assign operator as a child of parent
-     * 
-     * @param parent
-     * @param cols
-     * @param variables
-     * @return
-     */
-    public ILogicalOperator getAssignOperator(Mutable<ILogicalOperator> parent, List<ExprNodeDesc> cols,
-            ArrayList<LogicalVariable> variables);
-
-    /**
-     * get type for a logical variable
-     * 
-     * @param var
-     * @return type info
-     */
-    public TypeInfo getType(LogicalVariable var);
-
-    /**
-     * translate an expression from hive to Algebricks
-     * 
-     * @param desc
-     * @return
-     */
-    public Mutable<ILogicalExpression> translateScalarFucntion(ExprNodeDesc desc);
-
-    /**
-     * translate an aggregation from hive to Algebricks
-     * 
-     * @param aggregateDesc
-     * @return
-     */
-    public Mutable<ILogicalExpression> translateAggregation(AggregationDesc aggregateDesc);
-
-    /**
-     * translate unnesting (UDTF) function expression
-     * 
-     * @param aggregator
-     * @return
-     */
-    public Mutable<ILogicalExpression> translateUnnestFunction(UDTFDesc udtfDesc, Mutable<ILogicalExpression> argument);
-
-    /**
-     * get variable from a schema
-     * 
-     * @param schema
-     * @return
-     */
-    public List<LogicalVariable> getVariablesFromSchema(Schema schema);
-
-    /**
-     * get variable from name
-     * 
-     * @param name
-     * @return
-     */
-    public LogicalVariable getVariable(String name);
-
-    /**
-     * get variable from field name
-     * 
-     * @param name
-     * @return
-     */
-    public LogicalVariable getVariableFromFieldName(String name);
-
-    /**
-     * get variable from name, type
-     * 
-     * @param fieldName
-     * @param type
-     * @return
-     */
-    public LogicalVariable getVariable(String fieldName, TypeInfo type);
-
-    /**
-     * get new variable from name, type
-     * 
-     * @param fieldName
-     * @param type
-     * @return
-     */
-    public LogicalVariable getNewVariable(String fieldName, TypeInfo type);
-
-    /**
-     * set the metadata provider
-     * 
-     * @param metadata
-     */
-    public void setMetadataProvider(IMetadataProvider<PartitionDesc, Object> metadata);
-
-    /**
-     * get the metadata provider
-     * 
-     * @param metadata
-     */
-    public IMetadataProvider<PartitionDesc, Object> getMetadataProvider();
-
-    /**
-     * replace the variable
-     * 
-     * @param oldVar
-     * @param newVar
-     */
-    public void replaceVariable(LogicalVariable oldVar, LogicalVariable newVar);
-
-}
+package edu.uci.ics.hivesterix.logical.plan.visitor.base;
+
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.commons.lang3.mutable.Mutable;
+import org.apache.hadoop.hive.ql.exec.Operator;
+import org.apache.hadoop.hive.ql.plan.AggregationDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
+import org.apache.hadoop.hive.ql.plan.PartitionDesc;
+import org.apache.hadoop.hive.ql.plan.UDTFDesc;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+
+import edu.uci.ics.hivesterix.runtime.jobgen.Schema;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalExpression;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.ILogicalOperator;
+import edu.uci.ics.hyracks.algebricks.core.algebra.base.LogicalVariable;
+import edu.uci.ics.hyracks.algebricks.core.algebra.metadata.IMetadataProvider;
+
+@SuppressWarnings("rawtypes")
+public interface Translator {
+
+    /**
+     * generate input schema
+     * 
+     * @param operator
+     * @return
+     */
+    public Schema generateInputSchema(Operator operator);
+
+    /**
+     * rewrite the names of output columns for feture expression evaluators to
+     * use
+     * 
+     * @param operator
+     */
+    public void rewriteOperatorOutputSchema(List<LogicalVariable> vars, Operator operator);
+
+    /**
+     * rewrite the names of output columns for feture expression evaluators to
+     * use
+     * 
+     * @param operator
+     */
+    public void rewriteOperatorOutputSchema(Operator operator);
+
+    /**
+     * rewrite an expression and substitute variables
+     * 
+     * @param expr
+     *            hive expression
+     */
+    public void rewriteExpression(ExprNodeDesc expr);
+
+    /**
+     * rewrite an expression and substitute variables
+     * 
+     * @param expr
+     *            hive expression
+     */
+    public void rewriteExpressionPartial(ExprNodeDesc expr);
+
+    /**
+     * get an assign operator as a child of parent
+     * 
+     * @param parent
+     * @param cols
+     * @param variables
+     * @return
+     */
+    public ILogicalOperator getAssignOperator(Mutable<ILogicalOperator> parent, List<ExprNodeDesc> cols,
+            ArrayList<LogicalVariable> variables);
+
+    /**
+     * get type for a logical variable
+     * 
+     * @param var
+     * @return type info
+     */
+    public TypeInfo getType(LogicalVariable var);
+
+    /**
+     * translate an expression from hive to Algebricks
+     * 
+     * @param desc
+     * @return
+     */
+    public Mutable<ILogicalExpression> translateScalarFucntion(ExprNodeDesc desc);
+
+    /**
+     * translate an aggregation from hive to Algebricks
+     * 
+     * @param aggregateDesc
+     * @return
+     */
+    public Mutable<ILogicalExpression> translateAggregation(AggregationDesc aggregateDesc);
+
+    /**
+     * translate unnesting (UDTF) function expression
+     * 
+     * @param aggregator
+     * @return
+     */
+    public Mutable<ILogicalExpression> translateUnnestFunction(UDTFDesc udtfDesc, Mutable<ILogicalExpression> argument);
+
+    /**
+     * get variable from a schema
+     * 
+     * @param schema
+     * @return
+     */
+    public List<LogicalVariable> getVariablesFromSchema(Schema schema);
+
+    /**
+     * get variable from name
+     * 
+     * @param name
+     * @return
+     */
+    public LogicalVariable getVariable(String name);
+
+    /**
+     * get variable from field name
+     * 
+     * @param name
+     * @return
+     */
+    public LogicalVariable getVariableFromFieldName(String name);
+
+    /**
+     * get variable from name, type
+     * 
+     * @param fieldName
+     * @param type
+     * @return
+     */
+    public LogicalVariable getVariable(String fieldName, TypeInfo type);
+
+    /**
+     * get new variable from name, type
+     * 
+     * @param fieldName
+     * @param type
+     * @return
+     */
+    public LogicalVariable getNewVariable(String fieldName, TypeInfo type);
+
+    /**
+     * update a name-variable binding
+     * 
+     * @param fieldName
+     * @param variable
+     */
+    public void updateVariable(String fieldName, LogicalVariable variable);
+
+    /**
+     * set the metadata provider
+     * 
+     * @param metadata
+     */
+    public void setMetadataProvider(IMetadataProvider<PartitionDesc, Object> metadata);
+
+    /**
+     * get the metadata provider
+     * 
+     * @param metadata
+     */
+    public IMetadataProvider<PartitionDesc, Object> getMetadataProvider();
+
+    /**
+     * replace the variable
+     * 
+     * @param oldVar
+     * @param newVar
+     */
+    public void replaceVariable(LogicalVariable oldVar, LogicalVariable newVar);
+
+}
diff --git a/hivesterix/pom.xml b/hivesterix/pom.xml
index 2bee50c..ba43c0d 100644
--- a/hivesterix/pom.xml
+++ b/hivesterix/pom.xml
@@ -17,7 +17,7 @@
 	<modelVersion>4.0.0</modelVersion>
 	<groupId>edu.uci.ics.hyracks</groupId>
 	<artifactId>hivesterix</artifactId>
-	<version>0.2.7-SNAPSHOT</version>
+	<version>0.2.10-SNAPSHOT</version>
 	<packaging>pom</packaging>
 	<name>hivesterix</name>