diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParser.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParser.java
new file mode 100644
index 0000000..5923e1e
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParser.java
@@ -0,0 +1,50 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.api;
+
+import edu.uci.ics.hyracks.api.comm.IFrameWriter;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+/**
+ * Users need to implement this interface to use the HDFSReadOperatorDescriptor.
+ * 
+ * @param <K>
+ *            the key type
+ * @param <V>
+ *            the value type
+ */
+public interface IKeyValueParser<K, V> {
+
+    /**
+     * Parse a key-value pair returned by HDFS record reader to a tuple.
+     * when the parsers' internal buffer is full, it can flush the buffer to the writer
+     * 
+     * @param key
+     * @param value
+     * @param writer
+     * @throws HyracksDataException
+     */
+    public void parse(K key, V value, IFrameWriter writer) throws HyracksDataException;
+
+    /**
+     * Flush the residual tuples in the internal buffer to the writer.
+     * This method is called in the close() of HDFSReadOperatorDescriptor.
+     * 
+     * @param writer
+     * @throws HyracksDataException
+     */
+    public void flush(IFrameWriter writer) throws HyracksDataException;
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParserFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParserFactory.java
new file mode 100644
index 0000000..6e943ad
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParserFactory.java
@@ -0,0 +1,41 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.api;
+
+import java.io.Serializable;
+
+import edu.uci.ics.hyracks.api.context.IHyracksTaskContext;
+
+/**
+ * Users need to implement this interface to use the HDFSReadOperatorDescriptor.
+ * 
+ * @param <K>
+ *            the key type
+ * @param <V>
+ *            the value type
+ */
+public interface IKeyValueParserFactory<K, V> extends Serializable {
+
+    /**
+     * This method creates a key-value parser.
+     * 
+     * @param ctx
+     *            the IHyracksTaskContext
+     * @return a key-value parser instance.
+     */
+    public IKeyValueParser<K, V> createKeyValueParser(IHyracksTaskContext ctx);
+
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriter.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriter.java
new file mode 100644
index 0000000..25b9523
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriter.java
@@ -0,0 +1,39 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.api;
+
+import java.io.DataOutput;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.dataflow.common.data.accessors.ITupleReference;
+
+/**
+ * Users need to implement this interface to use the HDFSWriteOperatorDescriptor.
+ */
+public interface ITupleWriter {
+
+    /**
+     * Write the tuple to the DataOutput.
+     * 
+     * @param output
+     *            the DataOutput channel
+     * @param tuple
+     *            the tuple to write
+     * @throws HyracksDataException
+     */
+    public void write(DataOutput output, ITupleReference tuple) throws HyracksDataException;
+
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriterFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriterFactory.java
new file mode 100644
index 0000000..839de8f
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriterFactory.java
@@ -0,0 +1,30 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.api;
+
+import java.io.Serializable;
+
+/**
+ * Users need to implement this interface to use the HDFSWriteOperatorDescriptor.
+ */
+public interface ITupleWriterFactory extends Serializable {
+
+    /**
+     * @return a tuple writer instance
+     */
+    public ITupleWriter getTupleWriter();
+
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/ConfFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/ConfFactory.java
new file mode 100644
index 0000000..4fa0164
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/ConfFactory.java
@@ -0,0 +1,41 @@
+package edu.uci.ics.hyracks.hdfs.dataflow;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.DataInputStream;
+import java.io.DataOutputStream;
+import java.io.Serializable;
+
+import org.apache.hadoop.mapred.JobConf;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+@SuppressWarnings("deprecation")
+public class ConfFactory implements Serializable {
+    private static final long serialVersionUID = 1L;
+    private byte[] confBytes;
+
+    public ConfFactory(JobConf conf) throws HyracksDataException {
+        try {
+            ByteArrayOutputStream bos = new ByteArrayOutputStream();
+            DataOutputStream dos = new DataOutputStream(bos);
+            conf.write(dos);
+            confBytes = bos.toByteArray();
+            dos.close();
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    public JobConf getConf() throws HyracksDataException {
+        try {
+            JobConf conf = new JobConf();
+            DataInputStream dis = new DataInputStream(new ByteArrayInputStream(confBytes));
+            conf.readFields(dis);
+            dis.close();
+            return conf;
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSReadOperatorDescriptor.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSReadOperatorDescriptor.java
new file mode 100644
index 0000000..a0c821a3
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSReadOperatorDescriptor.java
@@ -0,0 +1,140 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.dataflow;
+
+import java.util.Arrays;
+
+import org.apache.hadoop.mapred.InputFormat;
+import org.apache.hadoop.mapred.InputSplit;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.RecordReader;
+import org.apache.hadoop.mapred.Reporter;
+
+import edu.uci.ics.hyracks.api.context.IHyracksTaskContext;
+import edu.uci.ics.hyracks.api.dataflow.IOperatorNodePushable;
+import edu.uci.ics.hyracks.api.dataflow.value.IRecordDescriptorProvider;
+import edu.uci.ics.hyracks.api.dataflow.value.RecordDescriptor;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.api.exceptions.HyracksException;
+import edu.uci.ics.hyracks.api.job.JobSpecification;
+import edu.uci.ics.hyracks.dataflow.std.base.AbstractSingleActivityOperatorDescriptor;
+import edu.uci.ics.hyracks.dataflow.std.base.AbstractUnaryOutputSourceOperatorNodePushable;
+import edu.uci.ics.hyracks.hdfs.api.IKeyValueParser;
+import edu.uci.ics.hyracks.hdfs.api.IKeyValueParserFactory;
+
+/**
+ * The HDFS file read operator using the Hadoop old API.
+ * To use this operator, a user need to provide an IKeyValueParserFactory implementation which convert
+ * key-value pairs into tuples.
+ */
+@SuppressWarnings({ "deprecation", "rawtypes" })
+public class HDFSReadOperatorDescriptor extends AbstractSingleActivityOperatorDescriptor {
+
+    private static final long serialVersionUID = 1L;
+    private final ConfFactory confFactory;
+    private final InputSplitsFactory splitsFactory;
+    private final String[] scheduledLocations;
+    private final IKeyValueParserFactory tupleParserFactory;
+    private final boolean[] executed;
+
+    /**
+     * The constructor of HDFSReadOperatorDescriptor.
+     * 
+     * @param spec
+     *            the JobSpecification object
+     * @param rd
+     *            the output record descriptor
+     * @param conf
+     *            the Hadoop JobConf object, which contains the input format and the input paths
+     * @param splits
+     *            the array of FileSplits (HDFS chunks).
+     * @param scheduledLocations
+     *            the node controller names to scan the FileSplits, which is an one-to-one mapping. The String array
+     *            is obtained from the edu.cui.ics.hyracks.hdfs.scheduler.Scheduler.getLocationConstraints(InputSplits[]).
+     * @param tupleParserFactory
+     *            the ITupleParserFactory implementation instance.
+     * @throws HyracksException
+     */
+    public HDFSReadOperatorDescriptor(JobSpecification spec, RecordDescriptor rd, JobConf conf, InputSplit[] splits,
+            String[] scheduledLocations, IKeyValueParserFactory tupleParserFactory) throws HyracksException {
+        super(spec, 0, 1);
+        try {
+            this.splitsFactory = new InputSplitsFactory(splits);
+            this.confFactory = new ConfFactory(conf);
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+        this.scheduledLocations = scheduledLocations;
+        this.executed = new boolean[scheduledLocations.length];
+        Arrays.fill(executed, false);
+        this.tupleParserFactory = tupleParserFactory;
+        this.recordDescriptors[0] = rd;
+    }
+
+    @Override
+    public IOperatorNodePushable createPushRuntime(final IHyracksTaskContext ctx,
+            IRecordDescriptorProvider recordDescProvider, final int partition, final int nPartitions)
+            throws HyracksDataException {
+        final InputSplit[] inputSplits = splitsFactory.getSplits();
+        final JobConf conf = confFactory.getConf();
+
+        return new AbstractUnaryOutputSourceOperatorNodePushable() {
+            private String nodeName = ctx.getJobletContext().getApplicationContext().getNodeId();
+
+            @SuppressWarnings("unchecked")
+            @Override
+            public void initialize() throws HyracksDataException {
+                try {
+                    IKeyValueParser parser = tupleParserFactory.createKeyValueParser(ctx);
+                    writer.open();
+                    InputFormat inputFormat = conf.getInputFormat();
+                    for (int i = 0; i < inputSplits.length; i++) {
+                        /**
+                         * read all the partitions scheduled to the current node
+                         */
+                        if (scheduledLocations[i].equals(nodeName)) {
+                            /**
+                             * pick an unread split to read
+                             * synchronize among simultaneous partitions in the same machine
+                             */
+                            synchronized (executed) {
+                                if (executed[i] == false) {
+                                    executed[i] = true;
+                                } else {
+                                    continue;
+                                }
+                            }
+
+                            /**
+                             * read the split
+                             */
+                            RecordReader reader = inputFormat.getRecordReader(inputSplits[i], conf, Reporter.NULL);
+                            Object key = reader.createKey();
+                            Object value = reader.createValue();
+                            while (reader.next(key, value) == true) {
+                                parser.parse(key, value, writer);
+                            }
+                        }
+                    }
+                    parser.flush(writer);
+                    writer.close();
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                }
+            }
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSWriteOperatorDescriptor.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSWriteOperatorDescriptor.java
new file mode 100644
index 0000000..e29848c
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSWriteOperatorDescriptor.java
@@ -0,0 +1,123 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.dataflow;
+
+import java.io.File;
+import java.nio.ByteBuffer;
+
+import org.apache.hadoop.fs.FSDataOutputStream;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.mapred.FileOutputFormat;
+import org.apache.hadoop.mapred.JobConf;
+
+import edu.uci.ics.hyracks.api.context.IHyracksTaskContext;
+import edu.uci.ics.hyracks.api.dataflow.IOperatorNodePushable;
+import edu.uci.ics.hyracks.api.dataflow.value.IRecordDescriptorProvider;
+import edu.uci.ics.hyracks.api.dataflow.value.RecordDescriptor;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.api.exceptions.HyracksException;
+import edu.uci.ics.hyracks.api.job.JobSpecification;
+import edu.uci.ics.hyracks.dataflow.common.comm.io.FrameTupleAccessor;
+import edu.uci.ics.hyracks.dataflow.common.data.accessors.FrameTupleReference;
+import edu.uci.ics.hyracks.dataflow.std.base.AbstractSingleActivityOperatorDescriptor;
+import edu.uci.ics.hyracks.dataflow.std.base.AbstractUnaryInputSinkOperatorNodePushable;
+import edu.uci.ics.hyracks.hdfs.api.ITupleWriter;
+import edu.uci.ics.hyracks.hdfs.api.ITupleWriterFactory;
+
+/**
+ * The HDFS file write operator using the Hadoop old API.
+ * To use this operator, a user need to provide an ITupleWriterFactory.
+ */
+@SuppressWarnings("deprecation")
+public class HDFSWriteOperatorDescriptor extends AbstractSingleActivityOperatorDescriptor {
+
+    private static final long serialVersionUID = 1L;
+    private ConfFactory confFactory;
+    private ITupleWriterFactory tupleWriterFactory;
+
+    /**
+     * The constructor of HDFSWriteOperatorDescriptor.
+     * 
+     * @param spec
+     *            the JobSpecification object
+     * @param conf
+     *            the Hadoop JobConf which contains the output path
+     * @param tupleWriterFactory
+     *            the ITupleWriterFactory implementation object
+     * @throws HyracksException
+     */
+    public HDFSWriteOperatorDescriptor(JobSpecification spec, JobConf conf, ITupleWriterFactory tupleWriterFactory)
+            throws HyracksException {
+        super(spec, 1, 0);
+        this.confFactory = new ConfFactory(conf);
+        this.tupleWriterFactory = tupleWriterFactory;
+    }
+
+    @Override
+    public IOperatorNodePushable createPushRuntime(final IHyracksTaskContext ctx,
+            final IRecordDescriptorProvider recordDescProvider, final int partition, final int nPartitions)
+            throws HyracksDataException {
+        final JobConf conf = confFactory.getConf();
+        final String outputDirPath = FileOutputFormat.getOutputPath(conf).toString();
+
+        return new AbstractUnaryInputSinkOperatorNodePushable() {
+
+            private String fileName = outputDirPath + File.separator + "part-" + partition;
+            private FSDataOutputStream dos;
+            private RecordDescriptor inputRd = recordDescProvider.getInputRecordDescriptor(getActivityId(), 0);;
+            private FrameTupleAccessor accessor = new FrameTupleAccessor(ctx.getFrameSize(), inputRd);
+            private FrameTupleReference tuple = new FrameTupleReference();
+            private ITupleWriter tupleWriter;
+
+            @Override
+            public void open() throws HyracksDataException {
+                tupleWriter = tupleWriterFactory.getTupleWriter();
+                try {
+                    FileSystem dfs = FileSystem.get(conf);
+                    dos = dfs.create(new Path(fileName), true);
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                }
+            }
+
+            @Override
+            public void nextFrame(ByteBuffer buffer) throws HyracksDataException {
+                accessor.reset(buffer);
+                int tupleCount = accessor.getTupleCount();
+                for (int i = 0; i < tupleCount; i++) {
+                    tuple.reset(accessor, i);
+                    tupleWriter.write(dos, tuple);
+                }
+            }
+
+            @Override
+            public void fail() throws HyracksDataException {
+
+            }
+
+            @Override
+            public void close() throws HyracksDataException {
+                try {
+                    dos.close();
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                }
+            }
+
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/InputSplitsFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/InputSplitsFactory.java
new file mode 100644
index 0000000..9cc9ebc
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/InputSplitsFactory.java
@@ -0,0 +1,103 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.dataflow;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.DataInputStream;
+import java.io.DataOutputStream;
+import java.io.IOException;
+import java.io.Serializable;
+import java.lang.reflect.Constructor;
+
+import org.apache.hadoop.mapred.InputSplit;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+@SuppressWarnings({ "deprecation", "rawtypes" })
+public class InputSplitsFactory implements Serializable {
+
+    private static final long serialVersionUID = 1L;
+    private byte[] splitBytes;
+    private String splitClassName;
+
+    public InputSplitsFactory(InputSplit[] splits) throws HyracksDataException {
+        splitBytes = splitsToBytes(splits);
+        if (splits.length > 0) {
+            splitClassName = splits[0].getClass().getName();
+        }
+    }
+
+    public InputSplit[] getSplits() throws HyracksDataException {
+        return bytesToSplits(splitBytes);
+    }
+
+    /**
+     * Convert splits to bytes.
+     * 
+     * @param splits
+     *            input splits
+     * @return bytes which serialize the splits
+     * @throws IOException
+     */
+    private byte[] splitsToBytes(InputSplit[] splits) throws HyracksDataException {
+        try {
+            ByteArrayOutputStream bos = new ByteArrayOutputStream();
+            DataOutputStream dos = new DataOutputStream(bos);
+            dos.writeInt(splits.length);
+            for (int i = 0; i < splits.length; i++) {
+                splits[i].write(dos);
+            }
+            dos.close();
+            return bos.toByteArray();
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    /**
+     * Covert bytes to splits.
+     * 
+     * @param bytes
+     * @return
+     * @throws HyracksDataException
+     */
+    private InputSplit[] bytesToSplits(byte[] bytes) throws HyracksDataException {
+        try {
+            Class splitClass = Class.forName(splitClassName);
+            Constructor[] constructors = splitClass.getDeclaredConstructors();
+            Constructor defaultConstructor = null;
+            for (Constructor constructor : constructors) {
+                if (constructor.getParameterTypes().length == 0) {
+                    constructor.setAccessible(true);
+                    defaultConstructor = constructor;
+                }
+            }
+            ByteArrayInputStream bis = new ByteArrayInputStream(bytes);
+            DataInputStream dis = new DataInputStream(bis);
+            int size = dis.readInt();
+            InputSplit[] splits = new InputSplit[size];
+            for (int i = 0; i < size; i++) {
+                splits[i] = (InputSplit) defaultConstructor.newInstance();
+                splits[i].readFields(dis);
+            }
+            dis.close();
+            return splits;
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryComparatorFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryComparatorFactory.java
new file mode 100644
index 0000000..90c5977
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryComparatorFactory.java
@@ -0,0 +1,32 @@
+package edu.uci.ics.hyracks.hdfs.lib;
+
+import edu.uci.ics.hyracks.api.dataflow.value.IBinaryComparator;
+import edu.uci.ics.hyracks.api.dataflow.value.IBinaryComparatorFactory;
+
+public class RawBinaryComparatorFactory implements IBinaryComparatorFactory {
+
+    private static final long serialVersionUID = 1L;
+    public static IBinaryComparatorFactory INSTANCE = new RawBinaryComparatorFactory();
+
+    private RawBinaryComparatorFactory() {
+    }
+
+    @Override
+    public IBinaryComparator createBinaryComparator() {
+        return new IBinaryComparator() {
+
+            @Override
+            public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2) {
+                int commonLength = Math.min(l1, l2);
+                for (int i = 0; i < commonLength; i++) {
+                    if (b1[s1 + i] != b2[s2 + i]) {
+                        return b1[s1 + i] - b2[s2 + i];
+                    }
+                }
+                int difference = l1 - l2;
+                return difference == 0 ? 0 : (difference > 0 ? 1 : -1);
+            }
+
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryHashFunctionFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryHashFunctionFactory.java
new file mode 100644
index 0000000..7895fec
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryHashFunctionFactory.java
@@ -0,0 +1,29 @@
+package edu.uci.ics.hyracks.hdfs.lib;
+
+import edu.uci.ics.hyracks.api.dataflow.value.IBinaryHashFunction;
+import edu.uci.ics.hyracks.api.dataflow.value.IBinaryHashFunctionFactory;
+
+public class RawBinaryHashFunctionFactory implements IBinaryHashFunctionFactory {
+    private static final long serialVersionUID = 1L;
+
+    public static IBinaryHashFunctionFactory INSTANCE = new RawBinaryHashFunctionFactory();
+
+    private RawBinaryHashFunctionFactory() {
+    }
+
+    @Override
+    public IBinaryHashFunction createBinaryHashFunction() {
+
+        return new IBinaryHashFunction() {
+            @Override
+            public int hash(byte[] bytes, int offset, int length) {
+                int value = 1;
+                int end = offset + length;
+                for (int i = offset; i < end; i++)
+                    value = value * 31 + (int) bytes[i];
+                return value;
+            }
+        };
+    }
+
+}
\ No newline at end of file
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextKeyValueParserFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextKeyValueParserFactory.java
new file mode 100644
index 0000000..c691f5d
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextKeyValueParserFactory.java
@@ -0,0 +1,66 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.lib;
+
+import java.nio.ByteBuffer;
+
+import org.apache.hadoop.io.LongWritable;
+import org.apache.hadoop.io.Text;
+
+import edu.uci.ics.hyracks.api.comm.IFrameWriter;
+import edu.uci.ics.hyracks.api.context.IHyracksTaskContext;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.dataflow.common.comm.io.ArrayTupleBuilder;
+import edu.uci.ics.hyracks.dataflow.common.comm.io.FrameTupleAppender;
+import edu.uci.ics.hyracks.dataflow.common.comm.util.FrameUtils;
+import edu.uci.ics.hyracks.hdfs.api.IKeyValueParser;
+import edu.uci.ics.hyracks.hdfs.api.IKeyValueParserFactory;
+
+public class TextKeyValueParserFactory implements IKeyValueParserFactory<LongWritable, Text> {
+    private static final long serialVersionUID = 1L;
+
+    @Override
+    public IKeyValueParser<LongWritable, Text> createKeyValueParser(final IHyracksTaskContext ctx) {
+
+        final ArrayTupleBuilder tb = new ArrayTupleBuilder(1);
+        final ByteBuffer buffer = ctx.allocateFrame();
+        final FrameTupleAppender appender = new FrameTupleAppender(ctx.getFrameSize());
+        appender.reset(buffer, true);
+
+        return new IKeyValueParser<LongWritable, Text>() {
+
+            @Override
+            public void parse(LongWritable key, Text value, IFrameWriter writer) throws HyracksDataException {
+                tb.reset();
+                tb.addField(value.getBytes(), 0, value.getLength());
+                if (!appender.append(tb.getFieldEndOffsets(), tb.getByteArray(), 0, tb.getSize())) {
+                    FrameUtils.flushFrame(buffer, writer);
+                    appender.reset(buffer, true);
+                    if (!appender.append(tb.getFieldEndOffsets(), tb.getByteArray(), 0, tb.getSize())) {
+                        throw new HyracksDataException("tuple cannot be appended into the frame");
+                    }
+                }
+            }
+
+            @Override
+            public void flush(IFrameWriter writer) throws HyracksDataException {
+                FrameUtils.flushFrame(buffer, writer);
+            }
+
+        };
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextTupleWriterFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextTupleWriterFactory.java
new file mode 100644
index 0000000..d26721d
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextTupleWriterFactory.java
@@ -0,0 +1,49 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.lib;
+
+import java.io.DataOutput;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.dataflow.common.data.accessors.ITupleReference;
+import edu.uci.ics.hyracks.hdfs.api.ITupleWriter;
+import edu.uci.ics.hyracks.hdfs.api.ITupleWriterFactory;
+
+public class TextTupleWriterFactory implements ITupleWriterFactory {
+    private static final long serialVersionUID = 1L;
+
+    @Override
+    public ITupleWriter getTupleWriter() {
+        return new ITupleWriter() {
+            byte newLine = "\n".getBytes()[0];
+
+            @Override
+            public void write(DataOutput output, ITupleReference tuple) throws HyracksDataException {
+                byte[] data = tuple.getFieldData(0);
+                int start = tuple.getFieldStart(0);
+                int len = tuple.getFieldLength(0);
+                try {
+                    output.write(data, start, len);
+                    output.writeByte(newLine);
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                }
+            }
+
+        };
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/Scheduler.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/Scheduler.java
new file mode 100644
index 0000000..e7309d4
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/Scheduler.java
@@ -0,0 +1,210 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.scheduler;
+
+import java.io.IOException;
+import java.net.InetAddress;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Random;
+
+import org.apache.hadoop.mapred.InputSplit;
+
+import edu.uci.ics.hyracks.api.client.HyracksConnection;
+import edu.uci.ics.hyracks.api.client.IHyracksClientConnection;
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.api.exceptions.HyracksException;
+
+/**
+ * The scheduler conduct data-local scheduling for data reading on HDFS.
+ * This class works for Hadoop old API.
+ */
+@SuppressWarnings("deprecation")
+public class Scheduler {
+
+    /** a list of NCs */
+    private String[] NCs;
+
+    /** a map from ip to NCs */
+    private Map<String, List<String>> ipToNcMapping = new HashMap<String, List<String>>();
+
+    /** a map from the NC name to the index */
+    private Map<String, Integer> ncNameToIndex = new HashMap<String, Integer>();
+
+    /**
+     * The constructor of the scheduler
+     * 
+     * @param ncNameToNcInfos
+     * @throws HyracksException
+     */
+    public Scheduler(String ipAddress, int port) throws HyracksException {
+        try {
+            IHyracksClientConnection hcc = new HyracksConnection(ipAddress, port);
+            Map<String, NodeControllerInfo> ncNameToNcInfos = hcc.getNodeControllerInfos();
+            loadIPAddressToNCMap(ncNameToNcInfos);
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+    }
+
+    public Scheduler(Map<String, NodeControllerInfo> ncNameToNcInfos) throws HyracksException {
+        loadIPAddressToNCMap(ncNameToNcInfos);
+    }
+
+    /**
+     * Set location constraints for a file scan operator with a list of file splits
+     * 
+     * @throws HyracksDataException
+     */
+    public String[] getLocationConstraints(InputSplit[] splits) throws HyracksException {
+        int[] capacity = new int[NCs.length];
+        Arrays.fill(capacity, 0);
+        String[] locations = new String[splits.length];
+        int slots = splits.length % capacity.length == 0 ? (splits.length / capacity.length) : (splits.length
+                / capacity.length + 1);
+
+        try {
+            Random random = new Random(System.currentTimeMillis());
+            boolean scheduled[] = new boolean[splits.length];
+            Arrays.fill(scheduled, false);
+
+            for (int i = 0; i < splits.length; i++) {
+                /**
+                 * get the location of all the splits
+                 */
+                String[] loc = splits[i].getLocations();
+                if (loc.length > 0) {
+                    for (int j = 0; j < loc.length; j++) {
+                        /**
+                         * get all the IP addresses from the name
+                         */
+                        InetAddress[] allIps = InetAddress.getAllByName(loc[j]);
+                        /**
+                         * iterate overa all ips
+                         */
+                        for (InetAddress ip : allIps) {
+                            /**
+                             * if the node controller exists
+                             */
+                            if (ipToNcMapping.get(ip.getHostAddress()) != null) {
+                                /**
+                                 * set the ncs
+                                 */
+                                List<String> dataLocations = ipToNcMapping.get(ip.getHostAddress());
+                                int arrayPos = random.nextInt(dataLocations.size());
+                                String nc = dataLocations.get(arrayPos);
+                                int pos = ncNameToIndex.get(nc);
+                                /**
+                                 * check if the node is already full
+                                 */
+                                if (capacity[pos] < slots) {
+                                    locations[i] = nc;
+                                    capacity[pos]++;
+                                    scheduled[i] = true;
+                                }
+                            }
+                        }
+
+                        /**
+                         * break the loop for data-locations if the schedule has already been found
+                         */
+                        if (scheduled[i] == true) {
+                            break;
+                        }
+                    }
+                }
+            }
+
+            /**
+             * find the lowest index the current available NCs
+             */
+            int currentAvailableNC = 0;
+            for (int i = 0; i < capacity.length; i++) {
+                if (capacity[i] < slots) {
+                    currentAvailableNC = i;
+                    break;
+                }
+            }
+
+            /**
+             * schedule no-local file reads
+             */
+            for (int i = 0; i < splits.length; i++) {
+                // if there is no data-local NC choice, choose a random one
+                if (!scheduled[i]) {
+                    locations[i] = NCs[currentAvailableNC];
+                    capacity[currentAvailableNC]++;
+                    scheduled[i] = true;
+
+                    /**
+                     * move the available NC cursor to the next one
+                     */
+                    for (int j = currentAvailableNC; j < capacity.length; j++) {
+                        if (capacity[j] < slots) {
+                            currentAvailableNC = j;
+                            break;
+                        }
+                    }
+                }
+            }
+            return locations;
+        } catch (IOException e) {
+            throw new HyracksException(e);
+        }
+    }
+
+    /**
+     * Load the IP-address-to-NC map from the NCNameToNCInfoMap
+     * 
+     * @param ncNameToNcInfos
+     * @throws HyracksException
+     */
+    private void loadIPAddressToNCMap(Map<String, NodeControllerInfo> ncNameToNcInfos) throws HyracksException {
+        try {
+            NCs = new String[ncNameToNcInfos.size()];
+            int i = 0;
+
+            /**
+             * build the IP address to NC map
+             */
+            for (Map.Entry<String, NodeControllerInfo> entry : ncNameToNcInfos.entrySet()) {
+                String ipAddr = InetAddress.getByAddress(entry.getValue().getNetworkAddress().getIpAddress())
+                        .getHostAddress();
+                List<String> matchedNCs = ipToNcMapping.get(ipAddr);
+                if (matchedNCs == null) {
+                    matchedNCs = new ArrayList<String>();
+                    ipToNcMapping.put(ipAddr, matchedNCs);
+                }
+                matchedNCs.add(entry.getKey());
+                NCs[i] = entry.getKey();
+                i++;
+            }
+
+            /**
+             * set up the NC name to index mapping
+             */
+            for (i = 0; i < NCs.length; i++) {
+                ncNameToIndex.put(NCs[i], i);
+            }
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/ConfFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/ConfFactory.java
new file mode 100644
index 0000000..d843d27
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/ConfFactory.java
@@ -0,0 +1,40 @@
+package edu.uci.ics.hyracks.hdfs2.dataflow;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.DataInputStream;
+import java.io.DataOutputStream;
+import java.io.Serializable;
+
+import org.apache.hadoop.mapreduce.Job;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+public class ConfFactory implements Serializable {
+    private static final long serialVersionUID = 1L;
+    private byte[] confBytes;
+
+    public ConfFactory(Job conf) throws HyracksDataException {
+        try {
+            ByteArrayOutputStream bos = new ByteArrayOutputStream();
+            DataOutputStream dos = new DataOutputStream(bos);
+            conf.getConfiguration().write(dos);
+            confBytes = bos.toByteArray();
+            dos.close();
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    public Job getConf() throws HyracksDataException {
+        try {
+            Job conf = new Job();
+            DataInputStream dis = new DataInputStream(new ByteArrayInputStream(confBytes));
+            conf.getConfiguration().readFields(dis);
+            dis.close();
+            return conf;
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/FileSplitsFactory.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/FileSplitsFactory.java
new file mode 100644
index 0000000..14dc70c
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/FileSplitsFactory.java
@@ -0,0 +1,106 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs2.dataflow;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.DataInputStream;
+import java.io.DataOutputStream;
+import java.io.IOException;
+import java.io.Serializable;
+import java.lang.reflect.Constructor;
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.hadoop.mapreduce.lib.input.FileSplit;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+@SuppressWarnings("rawtypes")
+public class FileSplitsFactory implements Serializable {
+
+    private static final long serialVersionUID = 1L;
+    private byte[] splitBytes;
+    private String splitClassName;
+
+    public FileSplitsFactory(List<FileSplit> splits) throws HyracksDataException {
+        splitBytes = splitsToBytes(splits);
+        if (splits.size() > 0) {
+            splitClassName = splits.get(0).getClass().getName();
+        }
+    }
+
+    public List<FileSplit> getSplits() throws HyracksDataException {
+        return bytesToSplits(splitBytes);
+    }
+
+    /**
+     * Convert splits to bytes.
+     * 
+     * @param splits
+     *            input splits
+     * @return bytes which serialize the splits
+     * @throws IOException
+     */
+    private byte[] splitsToBytes(List<FileSplit> splits) throws HyracksDataException {
+        try {
+            ByteArrayOutputStream bos = new ByteArrayOutputStream();
+            DataOutputStream dos = new DataOutputStream(bos);
+            dos.writeInt(splits.size());
+            int size = splits.size();
+            for (int i = 0; i < size; i++) {
+                splits.get(i).write(dos);
+            }
+            dos.close();
+            return bos.toByteArray();
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    /**
+     * Covert bytes to splits.
+     * 
+     * @param bytes
+     * @return
+     * @throws HyracksDataException
+     */
+    private List<FileSplit> bytesToSplits(byte[] bytes) throws HyracksDataException {
+        try {
+            Class splitClass = Class.forName(splitClassName);
+            Constructor[] constructors = splitClass.getDeclaredConstructors();
+            Constructor defaultConstructor = null;
+            for (Constructor constructor : constructors) {
+                if (constructor.getParameterTypes().length == 0) {
+                    constructor.setAccessible(true);
+                    defaultConstructor = constructor;
+                }
+            }
+            ByteArrayInputStream bis = new ByteArrayInputStream(bytes);
+            DataInputStream dis = new DataInputStream(bis);
+            int size = dis.readInt();
+            List<FileSplit> splits = new ArrayList<FileSplit>();
+            for (int i = 0; i < size; i++) {
+                splits.add((FileSplit) defaultConstructor.newInstance());
+                splits.get(i).readFields(dis);
+            }
+            dis.close();
+            return splits;
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSReadOperatorDescriptor.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSReadOperatorDescriptor.java
new file mode 100644
index 0000000..8a1ba6d
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSReadOperatorDescriptor.java
@@ -0,0 +1,153 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs2.dataflow;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+
+import org.apache.hadoop.mapreduce.InputFormat;
+import org.apache.hadoop.mapreduce.InputSplit;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.RecordReader;
+import org.apache.hadoop.mapreduce.TaskAttemptContext;
+import org.apache.hadoop.mapreduce.TaskAttemptID;
+import org.apache.hadoop.mapreduce.lib.input.FileSplit;
+import org.apache.hadoop.util.ReflectionUtils;
+
+import edu.uci.ics.hyracks.api.context.IHyracksTaskContext;
+import edu.uci.ics.hyracks.api.dataflow.IOperatorNodePushable;
+import edu.uci.ics.hyracks.api.dataflow.value.IRecordDescriptorProvider;
+import edu.uci.ics.hyracks.api.dataflow.value.RecordDescriptor;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.api.exceptions.HyracksException;
+import edu.uci.ics.hyracks.api.job.JobSpecification;
+import edu.uci.ics.hyracks.dataflow.std.base.AbstractSingleActivityOperatorDescriptor;
+import edu.uci.ics.hyracks.dataflow.std.base.AbstractUnaryOutputSourceOperatorNodePushable;
+import edu.uci.ics.hyracks.hdfs.api.IKeyValueParser;
+import edu.uci.ics.hyracks.hdfs.api.IKeyValueParserFactory;
+
+/**
+ * The HDFS file read operator using the Hadoop new API.
+ * To use this operator, a user need to provide an IKeyValueParserFactory implementation which convert
+ * key-value pairs into tuples.
+ */
+@SuppressWarnings("rawtypes")
+public class HDFSReadOperatorDescriptor extends AbstractSingleActivityOperatorDescriptor {
+
+    private static final long serialVersionUID = 1L;
+    private final ConfFactory confFactory;
+    private final FileSplitsFactory splitsFactory;
+    private final String[] scheduledLocations;
+    private final IKeyValueParserFactory tupleParserFactory;
+    private final boolean[] executed;
+
+    /**
+     * The constructor of HDFSReadOperatorDescriptor.
+     * 
+     * @param spec
+     *            the JobSpecification object
+     * @param rd
+     *            the output record descriptor
+     * @param conf
+     *            the Hadoop JobConf object, which contains the input format and the input paths
+     * @param splits
+     *            the array of FileSplits (HDFS chunks).
+     * @param scheduledLocations
+     *            the node controller names to scan the FileSplits, which is an one-to-one mapping. The String array
+     *            is obtained from the edu.cui.ics.hyracks.hdfs.scheduler.Scheduler.getLocationConstraints(InputSplits[]).
+     * @param tupleParserFactory
+     *            the ITupleParserFactory implementation instance.
+     * @throws HyracksException
+     */
+    public HDFSReadOperatorDescriptor(JobSpecification spec, RecordDescriptor rd, Job conf, List<InputSplit> splits,
+            String[] scheduledLocations, IKeyValueParserFactory tupleParserFactory) throws HyracksException {
+        super(spec, 0, 1);
+        try {
+            List<FileSplit> fileSplits = new ArrayList<FileSplit>();
+            for (int i = 0; i < splits.size(); i++) {
+                fileSplits.add((FileSplit) splits.get(i));
+            }
+            this.splitsFactory = new FileSplitsFactory(fileSplits);
+            this.confFactory = new ConfFactory(conf);
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+        this.scheduledLocations = scheduledLocations;
+        this.executed = new boolean[scheduledLocations.length];
+        Arrays.fill(executed, false);
+        this.tupleParserFactory = tupleParserFactory;
+        this.recordDescriptors[0] = rd;
+    }
+
+    @Override
+    public IOperatorNodePushable createPushRuntime(final IHyracksTaskContext ctx,
+            IRecordDescriptorProvider recordDescProvider, final int partition, final int nPartitions)
+            throws HyracksDataException {
+        final Job conf = confFactory.getConf();
+        final List<FileSplit> inputSplits = splitsFactory.getSplits();
+
+        return new AbstractUnaryOutputSourceOperatorNodePushable() {
+            private String nodeName = ctx.getJobletContext().getApplicationContext().getNodeId();
+
+            @SuppressWarnings("unchecked")
+            @Override
+            public void initialize() throws HyracksDataException {
+                try {
+                    Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
+                    IKeyValueParser parser = tupleParserFactory.createKeyValueParser(ctx);
+                    writer.open();
+                    InputFormat inputFormat = ReflectionUtils.newInstance(conf.getInputFormatClass(),
+                            conf.getConfiguration());
+                    int size = inputSplits.size();
+                    for (int i = 0; i < size; i++) {
+                        /**
+                         * read all the partitions scheduled to the current node
+                         */
+                        if (scheduledLocations[i].equals(nodeName)) {
+                            /**
+                             * pick an unread split to read
+                             * synchronize among simultaneous partitions in the same machine
+                             */
+                            synchronized (executed) {
+                                if (executed[i] == false) {
+                                    executed[i] = true;
+                                } else {
+                                    continue;
+                                }
+                            }
+
+                            /**
+                             * read the split
+                             */
+                            TaskAttemptContext context = new TaskAttemptContext(conf.getConfiguration(),
+                                    new TaskAttemptID());
+                            RecordReader reader = inputFormat.createRecordReader(inputSplits.get(i), context);
+                            reader.initialize(inputSplits.get(i), context);
+                            while (reader.nextKeyValue() == true) {
+                                parser.parse(reader.getCurrentKey(), reader.getCurrentValue(), writer);
+                            }
+                        }
+                    }
+                    parser.flush(writer);
+                    writer.close();
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                }
+            }
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSWriteOperatorDescriptor.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSWriteOperatorDescriptor.java
new file mode 100644
index 0000000..32bb9dc
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSWriteOperatorDescriptor.java
@@ -0,0 +1,125 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs2.dataflow;
+
+import java.io.File;
+import java.nio.ByteBuffer;
+
+import org.apache.hadoop.fs.FSDataOutputStream;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.JobContext;
+import org.apache.hadoop.mapreduce.JobID;
+import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
+
+import edu.uci.ics.hyracks.api.context.IHyracksTaskContext;
+import edu.uci.ics.hyracks.api.dataflow.IOperatorNodePushable;
+import edu.uci.ics.hyracks.api.dataflow.value.IRecordDescriptorProvider;
+import edu.uci.ics.hyracks.api.dataflow.value.RecordDescriptor;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.api.exceptions.HyracksException;
+import edu.uci.ics.hyracks.api.job.JobSpecification;
+import edu.uci.ics.hyracks.dataflow.common.comm.io.FrameTupleAccessor;
+import edu.uci.ics.hyracks.dataflow.common.data.accessors.FrameTupleReference;
+import edu.uci.ics.hyracks.dataflow.std.base.AbstractSingleActivityOperatorDescriptor;
+import edu.uci.ics.hyracks.dataflow.std.base.AbstractUnaryInputSinkOperatorNodePushable;
+import edu.uci.ics.hyracks.hdfs.api.ITupleWriter;
+import edu.uci.ics.hyracks.hdfs.api.ITupleWriterFactory;
+
+/**
+ * The HDFS file write operator using the Hadoop new API.
+ * To use this operator, a user need to provide an ITupleWriterFactory.
+ */
+public class HDFSWriteOperatorDescriptor extends AbstractSingleActivityOperatorDescriptor {
+
+    private static final long serialVersionUID = 1L;
+    private ConfFactory confFactory;
+    private ITupleWriterFactory tupleWriterFactory;
+
+    /**
+     * The constructor of HDFSWriteOperatorDescriptor.
+     * 
+     * @param spec
+     *            the JobSpecification object
+     * @param conf
+     *            the Hadoop JobConf which contains the output path
+     * @param tupleWriterFactory
+     *            the ITupleWriterFactory implementation object
+     * @throws HyracksException
+     */
+    public HDFSWriteOperatorDescriptor(JobSpecification spec, Job conf, ITupleWriterFactory tupleWriterFactory)
+            throws HyracksException {
+        super(spec, 1, 0);
+        this.confFactory = new ConfFactory(conf);
+        this.tupleWriterFactory = tupleWriterFactory;
+    }
+
+    @Override
+    public IOperatorNodePushable createPushRuntime(final IHyracksTaskContext ctx,
+            final IRecordDescriptorProvider recordDescProvider, final int partition, final int nPartitions)
+            throws HyracksDataException {
+        final Job conf = confFactory.getConf();
+        final String outputPath = FileOutputFormat.getOutputPath(new JobContext(conf.getConfiguration(), new JobID()))
+                .toString();
+
+        return new AbstractUnaryInputSinkOperatorNodePushable() {
+
+            private String fileName = outputPath + File.separator + "part-" + partition;
+            private FSDataOutputStream dos;
+            private RecordDescriptor inputRd = recordDescProvider.getInputRecordDescriptor(getActivityId(), 0);;
+            private FrameTupleAccessor accessor = new FrameTupleAccessor(ctx.getFrameSize(), inputRd);
+            private FrameTupleReference tuple = new FrameTupleReference();
+            private ITupleWriter tupleWriter;
+
+            @Override
+            public void open() throws HyracksDataException {
+                tupleWriter = tupleWriterFactory.getTupleWriter();
+                try {
+                    FileSystem dfs = FileSystem.get(conf.getConfiguration());
+                    dos = dfs.create(new Path(fileName), true);
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                }
+            }
+
+            @Override
+            public void nextFrame(ByteBuffer buffer) throws HyracksDataException {
+                accessor.reset(buffer);
+                int tupleCount = accessor.getTupleCount();
+                for (int i = 0; i < tupleCount; i++) {
+                    tuple.reset(accessor, i);
+                    tupleWriter.write(dos, tuple);
+                }
+            }
+
+            @Override
+            public void fail() throws HyracksDataException {
+
+            }
+
+            @Override
+            public void close() throws HyracksDataException {
+                try {
+                    dos.close();
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                }
+            }
+
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/Scheduler.java b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/Scheduler.java
new file mode 100644
index 0000000..3445d68
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/Scheduler.java
@@ -0,0 +1,208 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs2.scheduler;
+
+import java.net.InetAddress;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Random;
+
+import org.apache.hadoop.mapreduce.InputSplit;
+
+import edu.uci.ics.hyracks.api.client.HyracksConnection;
+import edu.uci.ics.hyracks.api.client.IHyracksClientConnection;
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.api.exceptions.HyracksException;
+
+/**
+ * The scheduler conduct data-local scheduling for data reading on HDFS.
+ * This class works for Hadoop new API.
+ */
+public class Scheduler {
+
+    /** a list of NCs */
+    private String[] NCs;
+
+    /** a map from ip to NCs */
+    private Map<String, List<String>> ipToNcMapping = new HashMap<String, List<String>>();
+
+    /** a map from the NC name to the index */
+    private Map<String, Integer> ncNameToIndex = new HashMap<String, Integer>();
+
+    /**
+     * The constructor of the scheduler
+     * 
+     * @param ncNameToNcInfos
+     * @throws HyracksException
+     */
+    public Scheduler(String ipAddress, int port) throws HyracksException {
+        try {
+            IHyracksClientConnection hcc = new HyracksConnection(ipAddress, port);
+            Map<String, NodeControllerInfo> ncNameToNcInfos = hcc.getNodeControllerInfos();
+            loadIPAddressToNCMap(ncNameToNcInfos);
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+    }
+
+    public Scheduler(Map<String, NodeControllerInfo> ncNameToNcInfos) throws HyracksException {
+        loadIPAddressToNCMap(ncNameToNcInfos);
+    }
+
+    /**
+     * Set location constraints for a file scan operator with a list of file splits
+     * 
+     * @throws HyracksDataException
+     */
+    public String[] getLocationConstraints(List<InputSplit> splits) throws HyracksException {
+        int[] capacity = new int[NCs.length];
+        Arrays.fill(capacity, 0);
+        String[] locations = new String[splits.size()];
+        int slots = splits.size() % capacity.length == 0 ? (splits.size() / capacity.length) : (splits.size()
+                / capacity.length + 1);
+
+        try {
+            Random random = new Random(System.currentTimeMillis());
+            boolean scheduled[] = new boolean[splits.size()];
+            Arrays.fill(scheduled, false);
+
+            for (int i = 0; i < splits.size(); i++) {
+                /**
+                 * get the location of all the splits
+                 */
+                String[] loc = splits.get(i).getLocations();
+                if (loc.length > 0) {
+                    for (int j = 0; j < loc.length; j++) {
+                        /**
+                         * get all the IP addresses from the name
+                         */
+                        InetAddress[] allIps = InetAddress.getAllByName(loc[j]);
+                        /**
+                         * iterate overa all ips
+                         */
+                        for (InetAddress ip : allIps) {
+                            /**
+                             * if the node controller exists
+                             */
+                            if (ipToNcMapping.get(ip.getHostAddress()) != null) {
+                                /**
+                                 * set the ncs
+                                 */
+                                List<String> dataLocations = ipToNcMapping.get(ip.getHostAddress());
+                                int arrayPos = random.nextInt(dataLocations.size());
+                                String nc = dataLocations.get(arrayPos);
+                                int pos = ncNameToIndex.get(nc);
+                                /**
+                                 * check if the node is already full
+                                 */
+                                if (capacity[pos] < slots) {
+                                    locations[i] = nc;
+                                    capacity[pos]++;
+                                    scheduled[i] = true;
+                                }
+                            }
+                        }
+
+                        /**
+                         * break the loop for data-locations if the schedule has already been found
+                         */
+                        if (scheduled[i] == true) {
+                            break;
+                        }
+                    }
+                }
+            }
+
+            /**
+             * find the lowest index the current available NCs
+             */
+            int currentAvailableNC = 0;
+            for (int i = 0; i < capacity.length; i++) {
+                if (capacity[i] < slots) {
+                    currentAvailableNC = i;
+                    break;
+                }
+            }
+
+            /**
+             * schedule no-local file reads
+             */
+            for (int i = 0; i < splits.size(); i++) {
+                // if there is no data-local NC choice, choose a random one
+                if (!scheduled[i]) {
+                    locations[i] = NCs[currentAvailableNC];
+                    capacity[currentAvailableNC]++;
+                    scheduled[i] = true;
+
+                    /**
+                     * move the available NC cursor to the next one
+                     */
+                    for (int j = currentAvailableNC; j < capacity.length; j++) {
+                        if (capacity[j] < slots) {
+                            currentAvailableNC = j;
+                            break;
+                        }
+                    }
+                }
+            }
+            return locations;
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+    }
+
+    /**
+     * Load the IP-address-to-NC map from the NCNameToNCInfoMap
+     * 
+     * @param ncNameToNcInfos
+     * @throws HyracksException
+     */
+    private void loadIPAddressToNCMap(Map<String, NodeControllerInfo> ncNameToNcInfos) throws HyracksException {
+        try {
+            NCs = new String[ncNameToNcInfos.size()];
+            int i = 0;
+
+            /**
+             * build the IP address to NC map
+             */
+            for (Map.Entry<String, NodeControllerInfo> entry : ncNameToNcInfos.entrySet()) {
+                String ipAddr = InetAddress.getByAddress(entry.getValue().getNetworkAddress().getIpAddress())
+                        .getHostAddress();
+                List<String> matchedNCs = ipToNcMapping.get(ipAddr);
+                if (matchedNCs == null) {
+                    matchedNCs = new ArrayList<String>();
+                    ipToNcMapping.put(ipAddr, matchedNCs);
+                }
+                matchedNCs.add(entry.getKey());
+                NCs[i] = entry.getKey();
+                i++;
+            }
+
+            /**
+             * set up the NC name to index mapping
+             */
+            for (i = 0; i < NCs.length; i++) {
+                ncNameToIndex.put(NCs[i], i);
+            }
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/dataflow/DataflowTest.java b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/dataflow/DataflowTest.java
new file mode 100644
index 0000000..2686077
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/dataflow/DataflowTest.java
@@ -0,0 +1,204 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.dataflow;
+
+import java.io.DataOutputStream;
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+
+import junit.framework.Assert;
+import junit.framework.TestCase;
+
+import org.apache.commons.io.FileUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hdfs.MiniDFSCluster;
+import org.apache.hadoop.mapred.FileInputFormat;
+import org.apache.hadoop.mapred.FileOutputFormat;
+import org.apache.hadoop.mapred.InputSplit;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.TextInputFormat;
+
+import edu.uci.ics.hyracks.api.client.HyracksConnection;
+import edu.uci.ics.hyracks.api.client.IHyracksClientConnection;
+import edu.uci.ics.hyracks.api.constraints.PartitionConstraintHelper;
+import edu.uci.ics.hyracks.api.dataflow.value.IBinaryComparatorFactory;
+import edu.uci.ics.hyracks.api.dataflow.value.IBinaryHashFunctionFactory;
+import edu.uci.ics.hyracks.api.dataflow.value.ISerializerDeserializer;
+import edu.uci.ics.hyracks.api.dataflow.value.RecordDescriptor;
+import edu.uci.ics.hyracks.api.job.JobId;
+import edu.uci.ics.hyracks.api.job.JobSpecification;
+import edu.uci.ics.hyracks.dataflow.common.data.marshalling.UTF8StringSerializerDeserializer;
+import edu.uci.ics.hyracks.dataflow.common.data.partition.FieldHashPartitionComputerFactory;
+import edu.uci.ics.hyracks.dataflow.std.connectors.MToNPartitioningMergingConnectorDescriptor;
+import edu.uci.ics.hyracks.dataflow.std.connectors.OneToOneConnectorDescriptor;
+import edu.uci.ics.hyracks.dataflow.std.sort.ExternalSortOperatorDescriptor;
+import edu.uci.ics.hyracks.hdfs.lib.RawBinaryComparatorFactory;
+import edu.uci.ics.hyracks.hdfs.lib.RawBinaryHashFunctionFactory;
+import edu.uci.ics.hyracks.hdfs.lib.TextKeyValueParserFactory;
+import edu.uci.ics.hyracks.hdfs.lib.TextTupleWriterFactory;
+import edu.uci.ics.hyracks.hdfs.scheduler.Scheduler;
+import edu.uci.ics.hyracks.hdfs.utils.HyracksUtils;
+import edu.uci.ics.hyracks.hdfs.utils.TestUtils;
+
+/**
+ * Test the edu.uci.ics.hyracks.hdfs.dataflow package,
+ * the operators for the Hadoop old API.
+ */
+@SuppressWarnings({ "deprecation" })
+public class DataflowTest extends TestCase {
+
+    private static final String ACTUAL_RESULT_DIR = "actual";
+    private static final String EXPECTED_RESULT_PATH = "src/test/resources/expected";
+    private static final String PATH_TO_HADOOP_CONF = "src/test/resources/hadoop/conf";
+
+    private static final String DATA_PATH = "src/test/resources/data/customer.tbl";
+    private static final String HDFS_INPUT_PATH = "/customer/";
+    private static final String HDFS_OUTPUT_PATH = "/customer_result/";
+
+    private static final String HYRACKS_APP_NAME = "DataflowTest";
+    private static final String HADOOP_CONF_PATH = ACTUAL_RESULT_DIR + File.separator + "conf.xml";
+    private MiniDFSCluster dfsCluster;
+
+    private JobConf conf = new JobConf();
+    private int numberOfNC = 2;
+
+    @Override
+    public void setUp() throws Exception {
+        cleanupStores();
+        HyracksUtils.init();
+        HyracksUtils.createApp(HYRACKS_APP_NAME);
+        FileUtils.forceMkdir(new File(ACTUAL_RESULT_DIR));
+        FileUtils.cleanDirectory(new File(ACTUAL_RESULT_DIR));
+        startHDFS();
+    }
+
+    private void cleanupStores() throws IOException {
+        FileUtils.forceMkdir(new File("teststore"));
+        FileUtils.forceMkdir(new File("build"));
+        FileUtils.cleanDirectory(new File("teststore"));
+        FileUtils.cleanDirectory(new File("build"));
+    }
+
+    /**
+     * Start the HDFS cluster and setup the data files
+     * 
+     * @throws IOException
+     */
+    private void startHDFS() throws IOException {
+        conf.addResource(new Path(PATH_TO_HADOOP_CONF + "/core-site.xml"));
+        conf.addResource(new Path(PATH_TO_HADOOP_CONF + "/mapred-site.xml"));
+        conf.addResource(new Path(PATH_TO_HADOOP_CONF + "/hdfs-site.xml"));
+
+        FileSystem lfs = FileSystem.getLocal(new Configuration());
+        lfs.delete(new Path("build"), true);
+        System.setProperty("hadoop.log.dir", "logs");
+        dfsCluster = new MiniDFSCluster(conf, numberOfNC, true, null);
+        FileSystem dfs = FileSystem.get(conf);
+        Path src = new Path(DATA_PATH);
+        Path dest = new Path(HDFS_INPUT_PATH);
+        Path result = new Path(HDFS_OUTPUT_PATH);
+        dfs.mkdirs(dest);
+        dfs.mkdirs(result);
+        dfs.copyFromLocalFile(src, dest);
+
+        DataOutputStream confOutput = new DataOutputStream(new FileOutputStream(new File(HADOOP_CONF_PATH)));
+        conf.writeXml(confOutput);
+        confOutput.flush();
+        confOutput.close();
+    }
+
+    /**
+     * Test a job with only HDFS read and writes.
+     * 
+     * @throws Exception
+     */
+    public void testHDFSReadWriteOperators() throws Exception {
+        FileInputFormat.setInputPaths(conf, HDFS_INPUT_PATH);
+        FileOutputFormat.setOutputPath(conf, new Path(HDFS_OUTPUT_PATH));
+        conf.setInputFormat(TextInputFormat.class);
+
+        Scheduler scheduler = new Scheduler(HyracksUtils.CC_HOST, HyracksUtils.TEST_HYRACKS_CC_CLIENT_PORT);
+        InputSplit[] splits = conf.getInputFormat().getSplits(conf, numberOfNC * 4);
+
+        String[] readSchedule = scheduler.getLocationConstraints(splits);
+        JobSpecification jobSpec = new JobSpecification();
+        RecordDescriptor recordDesc = new RecordDescriptor(
+                new ISerializerDeserializer[] { UTF8StringSerializerDeserializer.INSTANCE });
+
+        String[] locations = new String[] { HyracksUtils.NC1_ID, HyracksUtils.NC1_ID, HyracksUtils.NC2_ID,
+                HyracksUtils.NC2_ID };
+        HDFSReadOperatorDescriptor readOperator = new HDFSReadOperatorDescriptor(jobSpec, recordDesc, conf, splits,
+                readSchedule, new TextKeyValueParserFactory());
+        PartitionConstraintHelper.addAbsoluteLocationConstraint(jobSpec, readOperator, locations);
+
+        ExternalSortOperatorDescriptor sortOperator = new ExternalSortOperatorDescriptor(jobSpec, 10, new int[] { 0 },
+                new IBinaryComparatorFactory[] { RawBinaryComparatorFactory.INSTANCE }, recordDesc);
+        PartitionConstraintHelper.addAbsoluteLocationConstraint(jobSpec, sortOperator, locations);
+
+        HDFSWriteOperatorDescriptor writeOperator = new HDFSWriteOperatorDescriptor(jobSpec, conf,
+                new TextTupleWriterFactory());
+        PartitionConstraintHelper.addAbsoluteLocationConstraint(jobSpec, writeOperator, HyracksUtils.NC1_ID);
+
+        jobSpec.connect(new OneToOneConnectorDescriptor(jobSpec), readOperator, 0, sortOperator, 0);
+        jobSpec.connect(new MToNPartitioningMergingConnectorDescriptor(jobSpec, new FieldHashPartitionComputerFactory(
+                new int[] { 0 }, new IBinaryHashFunctionFactory[] { RawBinaryHashFunctionFactory.INSTANCE }),
+                new int[] { 0 }, new IBinaryComparatorFactory[] { RawBinaryComparatorFactory.INSTANCE }), sortOperator,
+                0, writeOperator, 0);
+        jobSpec.addRoot(writeOperator);
+
+        IHyracksClientConnection client = new HyracksConnection(HyracksUtils.CC_HOST,
+                HyracksUtils.TEST_HYRACKS_CC_CLIENT_PORT);
+        JobId jobId = client.startJob(HYRACKS_APP_NAME, jobSpec);
+        client.waitForCompletion(jobId);
+
+        Assert.assertEquals(true, checkResults());
+    }
+
+    /**
+     * Check if the results are correct
+     * 
+     * @return true if correct
+     * @throws Exception
+     */
+    private boolean checkResults() throws Exception {
+        FileSystem dfs = FileSystem.get(conf);
+        Path result = new Path(HDFS_OUTPUT_PATH);
+        Path actual = new Path(ACTUAL_RESULT_DIR);
+        dfs.copyToLocalFile(result, actual);
+
+        TestUtils.compareWithResult(new File(EXPECTED_RESULT_PATH + File.separator + "part-0"), new File(
+                ACTUAL_RESULT_DIR + File.separator + "customer_result" + File.separator + "part-0"));
+        return true;
+    }
+
+    /**
+     * cleanup hdfs cluster
+     */
+    private void cleanupHDFS() throws Exception {
+        dfsCluster.shutdown();
+    }
+
+    @Override
+    public void tearDown() throws Exception {
+        HyracksUtils.destroyApp(HYRACKS_APP_NAME);
+        HyracksUtils.deinit();
+        cleanupHDFS();
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/scheduler/SchedulerTest.java b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/scheduler/SchedulerTest.java
new file mode 100644
index 0000000..4b8a278
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/scheduler/SchedulerTest.java
@@ -0,0 +1,210 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.scheduler;
+
+import java.net.InetAddress;
+import java.util.HashMap;
+import java.util.Map;
+
+import junit.framework.Assert;
+import junit.framework.TestCase;
+
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.mapred.FileSplit;
+import org.apache.hadoop.mapred.InputSplit;
+
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+import edu.uci.ics.hyracks.api.client.NodeStatus;
+import edu.uci.ics.hyracks.api.comm.NetworkAddress;
+
+@SuppressWarnings("deprecation")
+public class SchedulerTest extends TestCase {
+
+    /**
+     * Test the scheduler for the case when the Hyracks cluster is the HDFS cluster
+     * 
+     * @throws Exception
+     */
+    public void testSchedulerSimple() throws Exception {
+        Map<String, NodeControllerInfo> ncNameToNcInfos = new HashMap<String, NodeControllerInfo>();
+        ncNameToNcInfos.put("nc1", new NodeControllerInfo("nc1", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.1").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099)));
+
+        InputSplit[] fileSplits = new InputSplit[6];
+        fileSplits[0] = new FileSplit(new Path("part-1"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" });
+        fileSplits[1] = new FileSplit(new Path("part-2"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[2] = new FileSplit(new Path("part-3"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.6" });
+        fileSplits[3] = new FileSplit(new Path("part-4"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.6" });
+        fileSplits[4] = new FileSplit(new Path("part-5"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[5] = new FileSplit(new Path("part-6"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" });
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc3", "nc4", "nc2", "nc5", "nc6" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+    /**
+     * Test the case where the HDFS cluster is a larger than the Hyracks cluster
+     * 
+     * @throws Exception
+     */
+    public void testSchedulerLargerHDFS() throws Exception {
+        Map<String, NodeControllerInfo> ncNameToNcInfos = new HashMap<String, NodeControllerInfo>();
+        ncNameToNcInfos.put("nc1", new NodeControllerInfo("nc1", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.1").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099)));
+
+        InputSplit[] fileSplits = new InputSplit[12];
+        fileSplits[0] = new FileSplit(new Path("part-1"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" });
+        fileSplits[1] = new FileSplit(new Path("part-2"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[2] = new FileSplit(new Path("part-3"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.6" });
+        fileSplits[3] = new FileSplit(new Path("part-4"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.6" });
+        fileSplits[4] = new FileSplit(new Path("part-5"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[5] = new FileSplit(new Path("part-6"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" });
+        fileSplits[6] = new FileSplit(new Path("part-7"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" });
+        fileSplits[7] = new FileSplit(new Path("part-8"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[8] = new FileSplit(new Path("part-9"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.6" });
+        fileSplits[9] = new FileSplit(new Path("part-10"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.6" });
+        fileSplits[10] = new FileSplit(new Path("part-11"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.7" });
+        fileSplits[11] = new FileSplit(new Path("part-12"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" });
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc3", "nc4", "nc2", "nc3", "nc2", "nc1", "nc4", "nc5", "nc6",
+                "nc6", "nc5" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+    /**
+     * Test the case where the HDFS cluster is a larger than the Hyracks cluster
+     * 
+     * @throws Exception
+     */
+    public void testSchedulerSmallerHDFS() throws Exception {
+        Map<String, NodeControllerInfo> ncNameToNcInfos = new HashMap<String, NodeControllerInfo>();
+        ncNameToNcInfos.put("nc1", new NodeControllerInfo("nc1", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.1").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099)));
+
+        InputSplit[] fileSplits = new InputSplit[12];
+        fileSplits[0] = new FileSplit(new Path("part-1"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" });
+        fileSplits[1] = new FileSplit(new Path("part-2"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[2] = new FileSplit(new Path("part-3"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.3" });
+        fileSplits[3] = new FileSplit(new Path("part-4"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.3" });
+        fileSplits[4] = new FileSplit(new Path("part-5"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[5] = new FileSplit(new Path("part-6"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" });
+        fileSplits[6] = new FileSplit(new Path("part-7"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" });
+        fileSplits[7] = new FileSplit(new Path("part-8"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[8] = new FileSplit(new Path("part-9"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.1" });
+        fileSplits[9] = new FileSplit(new Path("part-10"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.2" });
+        fileSplits[10] = new FileSplit(new Path("part-11"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[11] = new FileSplit(new Path("part-12"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" });
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc3", "nc4", "nc2", "nc3", "nc2", "nc1", "nc4", "nc5", "nc6",
+                "nc5", "nc6" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+    /**
+     * Test the case where the HDFS cluster is a larger than the Hyracks cluster
+     * 
+     * @throws Exception
+     */
+    public void testSchedulerSmallerHDFSOdd() throws Exception {
+        Map<String, NodeControllerInfo> ncNameToNcInfos = new HashMap<String, NodeControllerInfo>();
+        ncNameToNcInfos.put("nc1", new NodeControllerInfo("nc1", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.1").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099)));
+
+        InputSplit[] fileSplits = new InputSplit[13];
+        fileSplits[0] = new FileSplit(new Path("part-1"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" });
+        fileSplits[1] = new FileSplit(new Path("part-2"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[2] = new FileSplit(new Path("part-3"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.3" });
+        fileSplits[3] = new FileSplit(new Path("part-4"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.3" });
+        fileSplits[4] = new FileSplit(new Path("part-5"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[5] = new FileSplit(new Path("part-6"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" });
+        fileSplits[6] = new FileSplit(new Path("part-7"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" });
+        fileSplits[7] = new FileSplit(new Path("part-8"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[8] = new FileSplit(new Path("part-9"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.1" });
+        fileSplits[9] = new FileSplit(new Path("part-10"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.2" });
+        fileSplits[10] = new FileSplit(new Path("part-11"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" });
+        fileSplits[11] = new FileSplit(new Path("part-12"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" });
+        fileSplits[12] = new FileSplit(new Path("part-13"), 0, 0, new String[] { "10.0.0.2", "10.0.0.4", "10.0.0.5" });
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc3", "nc4", "nc2", "nc3", "nc2", "nc1", "nc3", "nc4", "nc2",
+                "nc4", "nc5", "nc5" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/utils/HyracksUtils.java b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/utils/HyracksUtils.java
new file mode 100644
index 0000000..d44b75a
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/utils/HyracksUtils.java
@@ -0,0 +1,104 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.utils;
+
+import java.util.EnumSet;
+
+import edu.uci.ics.hyracks.api.client.HyracksConnection;
+import edu.uci.ics.hyracks.api.client.IHyracksClientConnection;
+import edu.uci.ics.hyracks.api.job.JobFlag;
+import edu.uci.ics.hyracks.api.job.JobId;
+import edu.uci.ics.hyracks.api.job.JobSpecification;
+import edu.uci.ics.hyracks.control.cc.ClusterControllerService;
+import edu.uci.ics.hyracks.control.common.controllers.CCConfig;
+import edu.uci.ics.hyracks.control.common.controllers.NCConfig;
+import edu.uci.ics.hyracks.control.nc.NodeControllerService;
+
+public class HyracksUtils {
+
+    public static final String NC1_ID = "nc1";
+    public static final String NC2_ID = "nc2";
+
+    public static final int DEFAULT_HYRACKS_CC_PORT = 1099;
+    public static final int TEST_HYRACKS_CC_PORT = 1099;
+    public static final int TEST_HYRACKS_CC_CLIENT_PORT = 2099;
+    public static final String CC_HOST = "localhost";
+
+    public static final int FRAME_SIZE = 65536;
+
+    private static ClusterControllerService cc;
+    private static NodeControllerService nc1;
+    private static NodeControllerService nc2;
+    private static IHyracksClientConnection hcc;
+
+    public static void init() throws Exception {
+        CCConfig ccConfig = new CCConfig();
+        ccConfig.clientNetIpAddress = CC_HOST;
+        ccConfig.clusterNetIpAddress = CC_HOST;
+        ccConfig.clusterNetPort = TEST_HYRACKS_CC_PORT;
+        ccConfig.clientNetPort = TEST_HYRACKS_CC_CLIENT_PORT;
+        ccConfig.defaultMaxJobAttempts = 0;
+        ccConfig.jobHistorySize = 0;
+        ccConfig.profileDumpPeriod = -1;
+
+        // cluster controller
+        cc = new ClusterControllerService(ccConfig);
+        cc.start();
+
+        // two node controllers
+        NCConfig ncConfig1 = new NCConfig();
+        ncConfig1.ccHost = "localhost";
+        ncConfig1.clusterNetIPAddress = "localhost";
+        ncConfig1.ccPort = TEST_HYRACKS_CC_PORT;
+        ncConfig1.dataIPAddress = "127.0.0.1";
+        ncConfig1.nodeId = NC1_ID;
+        nc1 = new NodeControllerService(ncConfig1);
+        nc1.start();
+
+        NCConfig ncConfig2 = new NCConfig();
+        ncConfig2.ccHost = "localhost";
+        ncConfig2.clusterNetIPAddress = "localhost";
+        ncConfig2.ccPort = TEST_HYRACKS_CC_PORT;
+        ncConfig2.dataIPAddress = "127.0.0.1";
+        ncConfig2.nodeId = NC2_ID;
+        nc2 = new NodeControllerService(ncConfig2);
+        nc2.start();
+
+        // hyracks connection
+        hcc = new HyracksConnection(CC_HOST, TEST_HYRACKS_CC_CLIENT_PORT);
+    }
+
+    public static void destroyApp(String hyracksAppName) throws Exception {
+        hcc.destroyApplication(hyracksAppName);
+    }
+
+    public static void createApp(String hyracksAppName) throws Exception {
+        hcc.createApplication(hyracksAppName, null);
+    }
+
+    public static void deinit() throws Exception {
+        nc2.stop();
+        nc1.stop();
+        cc.stop();
+    }
+
+    public static void runJob(JobSpecification spec, String appName) throws Exception {
+        spec.setFrameSize(FRAME_SIZE);
+        JobId jobId = hcc.startJob(appName, spec, EnumSet.of(JobFlag.PROFILE_RUNTIME));
+        hcc.waitForCompletion(jobId);
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/utils/TestUtils.java b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/utils/TestUtils.java
new file mode 100644
index 0000000..3826688
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs/utils/TestUtils.java
@@ -0,0 +1,93 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs.utils;
+
+import java.io.BufferedReader;
+import java.io.File;
+import java.io.FileReader;
+
+public class TestUtils {
+
+    public static void compareWithResult(File expectedFile, File actualFile) throws Exception {
+        BufferedReader readerExpected = new BufferedReader(new FileReader(expectedFile));
+        BufferedReader readerActual = new BufferedReader(new FileReader(actualFile));
+        String lineExpected, lineActual;
+        int num = 1;
+        try {
+            while ((lineExpected = readerExpected.readLine()) != null) {
+                lineActual = readerActual.readLine();
+                // Assert.assertEquals(lineExpected, lineActual);
+                if (lineActual == null) {
+                    throw new Exception("Actual result changed at line " + num + ":\n< " + lineExpected + "\n> ");
+                }
+                if (!equalStrings(lineExpected, lineActual)) {
+                    throw new Exception("Result for changed at line " + num + ":\n< " + lineExpected + "\n> "
+                            + lineActual);
+                }
+                ++num;
+            }
+            lineActual = readerActual.readLine();
+            if (lineActual != null) {
+                throw new Exception("Actual result changed at line " + num + ":\n< \n> " + lineActual);
+            }
+        } finally {
+            readerExpected.close();
+            readerActual.close();
+        }
+    }
+
+    private static boolean equalStrings(String s1, String s2) {
+        String[] rowsOne = s1.split("\n");
+        String[] rowsTwo = s2.split("\n");
+
+        if (rowsOne.length != rowsTwo.length)
+            return false;
+
+        for (int i = 0; i < rowsOne.length; i++) {
+            String row1 = rowsOne[i];
+            String row2 = rowsTwo[i];
+
+            if (row1.equals(row2))
+                continue;
+
+            String[] fields1 = row1.split(",");
+            String[] fields2 = row2.split(",");
+
+            for (int j = 0; j < fields1.length; j++) {
+                if (fields1[j].equals(fields2[j])) {
+                    continue;
+                } else if (fields1[j].indexOf('.') < 0) {
+                    return false;
+                } else {
+                    fields1[j] = fields1[j].split("=")[1];
+                    fields2[j] = fields2[j].split("=")[1];
+                    Double double1 = Double.parseDouble(fields1[j]);
+                    Double double2 = Double.parseDouble(fields2[j]);
+                    float float1 = (float) double1.doubleValue();
+                    float float2 = (float) double2.doubleValue();
+
+                    if (Math.abs(float1 - float2) == 0)
+                        continue;
+                    else {
+                        return false;
+                    }
+                }
+            }
+        }
+        return true;
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs2/dataflow/DataflowTest.java b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs2/dataflow/DataflowTest.java
new file mode 100644
index 0000000..508ba07
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs2/dataflow/DataflowTest.java
@@ -0,0 +1,211 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs2.dataflow;
+
+import java.io.DataOutputStream;
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.util.List;
+
+import junit.framework.Assert;
+import junit.framework.TestCase;
+
+import org.apache.commons.io.FileUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hdfs.MiniDFSCluster;
+import org.apache.hadoop.mapreduce.InputFormat;
+import org.apache.hadoop.mapreduce.InputSplit;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.JobContext;
+import org.apache.hadoop.mapreduce.JobID;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
+import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
+import org.apache.hadoop.util.ReflectionUtils;
+
+import edu.uci.ics.hyracks.api.client.HyracksConnection;
+import edu.uci.ics.hyracks.api.client.IHyracksClientConnection;
+import edu.uci.ics.hyracks.api.constraints.PartitionConstraintHelper;
+import edu.uci.ics.hyracks.api.dataflow.value.IBinaryComparatorFactory;
+import edu.uci.ics.hyracks.api.dataflow.value.IBinaryHashFunctionFactory;
+import edu.uci.ics.hyracks.api.dataflow.value.ISerializerDeserializer;
+import edu.uci.ics.hyracks.api.dataflow.value.RecordDescriptor;
+import edu.uci.ics.hyracks.api.job.JobId;
+import edu.uci.ics.hyracks.api.job.JobSpecification;
+import edu.uci.ics.hyracks.dataflow.common.data.marshalling.UTF8StringSerializerDeserializer;
+import edu.uci.ics.hyracks.dataflow.common.data.partition.FieldHashPartitionComputerFactory;
+import edu.uci.ics.hyracks.dataflow.std.connectors.MToNPartitioningMergingConnectorDescriptor;
+import edu.uci.ics.hyracks.dataflow.std.connectors.OneToOneConnectorDescriptor;
+import edu.uci.ics.hyracks.dataflow.std.sort.ExternalSortOperatorDescriptor;
+import edu.uci.ics.hyracks.hdfs.lib.RawBinaryComparatorFactory;
+import edu.uci.ics.hyracks.hdfs.lib.RawBinaryHashFunctionFactory;
+import edu.uci.ics.hyracks.hdfs.lib.TextKeyValueParserFactory;
+import edu.uci.ics.hyracks.hdfs.lib.TextTupleWriterFactory;
+import edu.uci.ics.hyracks.hdfs.utils.HyracksUtils;
+import edu.uci.ics.hyracks.hdfs.utils.TestUtils;
+import edu.uci.ics.hyracks.hdfs2.scheduler.Scheduler;
+
+/**
+ * Test the edu.uci.ics.hyracks.hdfs2.dataflow package,
+ * the operators for the Hadoop new API.
+ */
+public class DataflowTest extends TestCase {
+
+    private static final String ACTUAL_RESULT_DIR = "actual";
+    private static final String EXPECTED_RESULT_PATH = "src/test/resources/expected";
+    private static final String PATH_TO_HADOOP_CONF = "src/test/resources/hadoop/conf";
+
+    private static final String DATA_PATH = "src/test/resources/data/customer.tbl";
+    private static final String HDFS_INPUT_PATH = "/customer/";
+    private static final String HDFS_OUTPUT_PATH = "/customer_result/";
+
+    private static final String HYRACKS_APP_NAME = "DataflowTest";
+    private static final String HADOOP_CONF_PATH = ACTUAL_RESULT_DIR + File.separator + "conf.xml";
+    private MiniDFSCluster dfsCluster;
+
+    private Job conf;
+    private int numberOfNC = 2;
+
+    @Override
+    public void setUp() throws Exception {
+        conf = new Job();
+        cleanupStores();
+        HyracksUtils.init();
+        HyracksUtils.createApp(HYRACKS_APP_NAME);
+        FileUtils.forceMkdir(new File(ACTUAL_RESULT_DIR));
+        FileUtils.cleanDirectory(new File(ACTUAL_RESULT_DIR));
+        startHDFS();
+    }
+
+    private void cleanupStores() throws IOException {
+        FileUtils.forceMkdir(new File("teststore"));
+        FileUtils.forceMkdir(new File("build"));
+        FileUtils.cleanDirectory(new File("teststore"));
+        FileUtils.cleanDirectory(new File("build"));
+    }
+
+    /**
+     * Start the HDFS cluster and setup the data files
+     * 
+     * @throws IOException
+     */
+    private void startHDFS() throws IOException {
+        conf.getConfiguration().addResource(new Path(PATH_TO_HADOOP_CONF + "/core-site.xml"));
+        conf.getConfiguration().addResource(new Path(PATH_TO_HADOOP_CONF + "/mapred-site.xml"));
+        conf.getConfiguration().addResource(new Path(PATH_TO_HADOOP_CONF + "/hdfs-site.xml"));
+
+        FileSystem lfs = FileSystem.getLocal(new Configuration());
+        lfs.delete(new Path("build"), true);
+        System.setProperty("hadoop.log.dir", "logs");
+        dfsCluster = new MiniDFSCluster(conf.getConfiguration(), numberOfNC, true, null);
+        FileSystem dfs = FileSystem.get(conf.getConfiguration());
+        Path src = new Path(DATA_PATH);
+        Path dest = new Path(HDFS_INPUT_PATH);
+        Path result = new Path(HDFS_OUTPUT_PATH);
+        dfs.mkdirs(dest);
+        dfs.mkdirs(result);
+        dfs.copyFromLocalFile(src, dest);
+
+        DataOutputStream confOutput = new DataOutputStream(new FileOutputStream(new File(HADOOP_CONF_PATH)));
+        conf.getConfiguration().writeXml(confOutput);
+        confOutput.flush();
+        confOutput.close();
+    }
+
+    /**
+     * Test a job with only HDFS read and writes.
+     * 
+     * @throws Exception
+     */
+    @SuppressWarnings({ "rawtypes", "unchecked" })
+    public void testHDFSReadWriteOperators() throws Exception {
+        FileInputFormat.setInputPaths(conf, HDFS_INPUT_PATH);
+        FileOutputFormat.setOutputPath(conf, new Path(HDFS_OUTPUT_PATH));
+        conf.setInputFormatClass(TextInputFormat.class);
+
+        Scheduler scheduler = new Scheduler(HyracksUtils.CC_HOST, HyracksUtils.TEST_HYRACKS_CC_CLIENT_PORT);
+        InputFormat inputFormat = ReflectionUtils.newInstance(conf.getInputFormatClass(), conf.getConfiguration());
+        List<InputSplit> splits = inputFormat.getSplits(new JobContext(conf.getConfiguration(), new JobID()));
+
+        String[] readSchedule = scheduler.getLocationConstraints(splits);
+        JobSpecification jobSpec = new JobSpecification();
+        RecordDescriptor recordDesc = new RecordDescriptor(
+                new ISerializerDeserializer[] { UTF8StringSerializerDeserializer.INSTANCE });
+
+        String[] locations = new String[] { HyracksUtils.NC1_ID, HyracksUtils.NC1_ID, HyracksUtils.NC2_ID,
+                HyracksUtils.NC2_ID };
+        HDFSReadOperatorDescriptor readOperator = new HDFSReadOperatorDescriptor(jobSpec, recordDesc, conf, splits,
+                readSchedule, new TextKeyValueParserFactory());
+        PartitionConstraintHelper.addAbsoluteLocationConstraint(jobSpec, readOperator, locations);
+
+        ExternalSortOperatorDescriptor sortOperator = new ExternalSortOperatorDescriptor(jobSpec, 10, new int[] { 0 },
+                new IBinaryComparatorFactory[] { RawBinaryComparatorFactory.INSTANCE }, recordDesc);
+        PartitionConstraintHelper.addAbsoluteLocationConstraint(jobSpec, sortOperator, locations);
+
+        HDFSWriteOperatorDescriptor writeOperator = new HDFSWriteOperatorDescriptor(jobSpec, conf,
+                new TextTupleWriterFactory());
+        PartitionConstraintHelper.addAbsoluteLocationConstraint(jobSpec, writeOperator, HyracksUtils.NC1_ID);
+
+        jobSpec.connect(new OneToOneConnectorDescriptor(jobSpec), readOperator, 0, sortOperator, 0);
+        jobSpec.connect(new MToNPartitioningMergingConnectorDescriptor(jobSpec, new FieldHashPartitionComputerFactory(
+                new int[] { 0 }, new IBinaryHashFunctionFactory[] { RawBinaryHashFunctionFactory.INSTANCE }),
+                new int[] { 0 }, new IBinaryComparatorFactory[] { RawBinaryComparatorFactory.INSTANCE }), sortOperator,
+                0, writeOperator, 0);
+        jobSpec.addRoot(writeOperator);
+
+        IHyracksClientConnection client = new HyracksConnection(HyracksUtils.CC_HOST,
+                HyracksUtils.TEST_HYRACKS_CC_CLIENT_PORT);
+        JobId jobId = client.startJob(HYRACKS_APP_NAME, jobSpec);
+        client.waitForCompletion(jobId);
+
+        Assert.assertEquals(true, checkResults());
+    }
+
+    /**
+     * Check if the results are correct
+     * 
+     * @return true if correct
+     * @throws Exception
+     */
+    private boolean checkResults() throws Exception {
+        FileSystem dfs = FileSystem.get(conf.getConfiguration());
+        Path result = new Path(HDFS_OUTPUT_PATH);
+        Path actual = new Path(ACTUAL_RESULT_DIR);
+        dfs.copyToLocalFile(result, actual);
+
+        TestUtils.compareWithResult(new File(EXPECTED_RESULT_PATH + File.separator + "part-0"), new File(
+                ACTUAL_RESULT_DIR + File.separator + "customer_result" + File.separator + "part-0"));
+        return true;
+    }
+
+    /**
+     * cleanup hdfs cluster
+     */
+    private void cleanupHDFS() throws Exception {
+        dfsCluster.shutdown();
+    }
+
+    @Override
+    public void tearDown() throws Exception {
+        HyracksUtils.destroyApp(HYRACKS_APP_NAME);
+        HyracksUtils.deinit();
+        cleanupHDFS();
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs2/scheduler/SchedulerTest.java b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs2/scheduler/SchedulerTest.java
new file mode 100644
index 0000000..ea2af13
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/java/edu/uci/ics/hyracks/hdfs2/scheduler/SchedulerTest.java
@@ -0,0 +1,215 @@
+/*
+ * Copyright 2009-2012 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.
+ */
+
+package edu.uci.ics.hyracks.hdfs2.scheduler;
+
+import java.net.InetAddress;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import junit.framework.Assert;
+import junit.framework.TestCase;
+
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.mapreduce.InputSplit;
+import org.apache.hadoop.mapreduce.lib.input.FileSplit;
+
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+import edu.uci.ics.hyracks.api.client.NodeStatus;
+import edu.uci.ics.hyracks.api.comm.NetworkAddress;
+
+/**
+ * Test case for the new HDFS API scheduler
+ * 
+ */
+public class SchedulerTest extends TestCase {
+
+    /**
+     * Test the scheduler for the case when the Hyracks cluster is the HDFS cluster
+     * 
+     * @throws Exception
+     */
+    public void testSchedulerSimple() throws Exception {
+        Map<String, NodeControllerInfo> ncNameToNcInfos = new HashMap<String, NodeControllerInfo>();
+        ncNameToNcInfos.put("nc1", new NodeControllerInfo("nc1", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.1").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099)));
+
+        List<InputSplit> fileSplits = new ArrayList<InputSplit>();
+        fileSplits.add(new FileSplit(new Path("part-1"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-2"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-3"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.6" }));
+        fileSplits.add(new FileSplit(new Path("part-4"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.6" }));
+        fileSplits.add(new FileSplit(new Path("part-5"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-6"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" }));
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc3", "nc4", "nc2", "nc5", "nc6" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+    /**
+     * Test the case where the HDFS cluster is a larger than the Hyracks cluster
+     * 
+     * @throws Exception
+     */
+    public void testSchedulerLargerHDFS() throws Exception {
+        Map<String, NodeControllerInfo> ncNameToNcInfos = new HashMap<String, NodeControllerInfo>();
+        ncNameToNcInfos.put("nc1", new NodeControllerInfo("nc1", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.1").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099)));
+
+        List<InputSplit> fileSplits = new ArrayList<InputSplit>();
+        fileSplits.add(new FileSplit(new Path("part-1"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-2"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-3"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.6" }));
+        fileSplits.add(new FileSplit(new Path("part-4"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.6" }));
+        fileSplits.add(new FileSplit(new Path("part-5"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-6"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-7"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-8"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-9"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.6" }));
+        fileSplits.add(new FileSplit(new Path("part-10"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.6" }));
+        fileSplits.add(new FileSplit(new Path("part-11"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.7" }));
+        fileSplits.add(new FileSplit(new Path("part-12"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" }));
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc3", "nc4", "nc2", "nc3", "nc2", "nc1", "nc4", "nc5", "nc6",
+                "nc6", "nc5" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+    /**
+     * Test the case where the HDFS cluster is a larger than the Hyracks cluster
+     * 
+     * @throws Exception
+     */
+    public void testSchedulerSmallerHDFS() throws Exception {
+        Map<String, NodeControllerInfo> ncNameToNcInfos = new HashMap<String, NodeControllerInfo>();
+        ncNameToNcInfos.put("nc1", new NodeControllerInfo("nc1", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.1").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099)));
+
+        List<InputSplit> fileSplits = new ArrayList<InputSplit>();
+        fileSplits.add(new FileSplit(new Path("part-1"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-2"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-3"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-4"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-5"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-6"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-7"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-8"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-9"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.1" }));
+        fileSplits.add(new FileSplit(new Path("part-10"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.2" }));
+        fileSplits.add(new FileSplit(new Path("part-11"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-12"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" }));
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc3", "nc4", "nc2", "nc3", "nc2", "nc1", "nc4", "nc5", "nc6",
+                "nc5", "nc6" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+    /**
+     * Test the case where the HDFS cluster is a larger than the Hyracks cluster
+     * 
+     * @throws Exception
+     */
+    public void testSchedulerSmallerHDFSOdd() throws Exception {
+        Map<String, NodeControllerInfo> ncNameToNcInfos = new HashMap<String, NodeControllerInfo>();
+        ncNameToNcInfos.put("nc1", new NodeControllerInfo("nc1", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.1").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099)));
+
+        List<InputSplit> fileSplits = new ArrayList<InputSplit>();
+        fileSplits.add(new FileSplit(new Path("part-1"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-2"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-3"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-4"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-5"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-6"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-7"), 0, 0, new String[] { "10.0.0.1", "10.0.0.2", "10.0.0.3" }));
+        fileSplits.add(new FileSplit(new Path("part-8"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-9"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.1" }));
+        fileSplits.add(new FileSplit(new Path("part-10"), 0, 0, new String[] { "10.0.0.2", "10.0.0.1", "10.0.0.2" }));
+        fileSplits.add(new FileSplit(new Path("part-11"), 0, 0, new String[] { "10.0.0.3", "10.0.0.4", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-12"), 0, 0, new String[] { "10.0.0.2", "10.0.0.3", "10.0.0.5" }));
+        fileSplits.add(new FileSplit(new Path("part-13"), 0, 0, new String[] { "10.0.0.2", "10.0.0.4", "10.0.0.5" }));
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc3", "nc4", "nc2", "nc3", "nc2", "nc1", "nc3", "nc4", "nc2",
+                "nc4", "nc5", "nc5" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/src/test/resources/data/customer.tbl b/hyracks/hyracks-hdfs/src/test/resources/data/customer.tbl
new file mode 100644
index 0000000..5d39c80
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/resources/data/customer.tbl
@@ -0,0 +1,150 @@
+1|Customer#000000001|IVhzIApeRb ot,c,E|15|25-989-741-2988|711.56|BUILDING|to the even, regular platelets. regular, ironic epitaphs nag e|
+2|Customer#000000002|XSTf4,NCwDVaWNe6tEgvwfmRchLXak|13|23-768-687-3665|121.65|AUTOMOBILE|l accounts. blithely ironic theodolites integrate boldly: caref|
+3|Customer#000000003|MG9kdTD2WBHm|1|11-719-748-3364|7498.12|AUTOMOBILE| deposits eat slyly ironic, even instructions. express foxes detect slyly. blithely even accounts abov|
+4|Customer#000000004|XxVSJsLAGtn|4|14-128-190-5944|2866.83|MACHINERY| requests. final, regular ideas sleep final accou|
+5|Customer#000000005|KvpyuHCplrB84WgAiGV6sYpZq7Tj|3|13-750-942-6364|794.47|HOUSEHOLD|n accounts will have to unwind. foxes cajole accor|
+6|Customer#000000006|sKZz0CsnMD7mp4Xd0YrBvx,LREYKUWAh yVn|20|30-114-968-4951|7638.57|AUTOMOBILE|tions. even deposits boost according to the slyly bold packages. final accounts cajole requests. furious|
+7|Customer#000000007|TcGe5gaZNgVePxU5kRrvXBfkasDTea|18|28-190-982-9759|9561.95|AUTOMOBILE|ainst the ironic, express theodolites. express, even pinto beans among the exp|
+8|Customer#000000008|I0B10bB0AymmC, 0PrRYBCP1yGJ8xcBPmWhl5|17|27-147-574-9335|6819.74|BUILDING|among the slyly regular theodolites kindle blithely courts. carefully even theodolites haggle slyly along the ide|
+9|Customer#000000009|xKiAFTjUsCuxfeleNqefumTrjS|8|18-338-906-3675|8324.07|FURNITURE|r theodolites according to the requests wake thinly excuses: pending requests haggle furiousl|
+10|Customer#000000010|6LrEaV6KR6PLVcgl2ArL Q3rqzLzcT1 v2|5|15-741-346-9870|2753.54|HOUSEHOLD|es regular deposits haggle. fur|
+11|Customer#000000011|PkWS 3HlXqwTuzrKg633BEi|23|33-464-151-3439|-272.60|BUILDING|ckages. requests sleep slyly. quickly even pinto beans promise above the slyly regular pinto beans. |
+12|Customer#000000012|9PWKuhzT4Zr1Q|13|23-791-276-1263|3396.49|HOUSEHOLD| to the carefully final braids. blithely regular requests nag. ironic theodolites boost quickly along|
+13|Customer#000000013|nsXQu0oVjD7PM659uC3SRSp|3|13-761-547-5974|3857.34|BUILDING|ounts sleep carefully after the close frays. carefully bold notornis use ironic requests. blithely|
+14|Customer#000000014|KXkletMlL2JQEA |1|11-845-129-3851|5266.30|FURNITURE|, ironic packages across the unus|
+15|Customer#000000015|YtWggXoOLdwdo7b0y,BZaGUQMLJMX1Y,EC,6Dn|23|33-687-542-7601|2788.52|HOUSEHOLD| platelets. regular deposits detect asymptotes. blithely unusual packages nag slyly at the fluf|
+16|Customer#000000016|cYiaeMLZSMAOQ2 d0W,|10|20-781-609-3107|4681.03|FURNITURE|kly silent courts. thinly regular theodolites sleep fluffily after |
+17|Customer#000000017|izrh 6jdqtp2eqdtbkswDD8SG4SzXruMfIXyR7|2|12-970-682-3487|6.34|AUTOMOBILE|packages wake! blithely even pint|
+18|Customer#000000018|3txGO AiuFux3zT0Z9NYaFRnZt|6|16-155-215-1315|5494.43|BUILDING|s sleep. carefully even instructions nag furiously alongside of t|
+19|Customer#000000019|uc,3bHIx84H,wdrmLOjVsiqXCq2tr|18|28-396-526-5053|8914.71|HOUSEHOLD| nag. furiously careful packages are slyly at the accounts. furiously regular in|
+20|Customer#000000020|JrPk8Pqplj4Ne|22|32-957-234-8742|7603.40|FURNITURE|g alongside of the special excuses-- fluffily enticing packages wake |
+21|Customer#000000021|XYmVpr9yAHDEn|8|18-902-614-8344|1428.25|MACHINERY| quickly final accounts integrate blithely furiously u|
+22|Customer#000000022|QI6p41,FNs5k7RZoCCVPUTkUdYpB|3|13-806-545-9701|591.98|MACHINERY|s nod furiously above the furiously ironic ideas. |
+23|Customer#000000023|OdY W13N7Be3OC5MpgfmcYss0Wn6TKT|3|13-312-472-8245|3332.02|HOUSEHOLD|deposits. special deposits cajole slyly. fluffily special deposits about the furiously |
+24|Customer#000000024|HXAFgIAyjxtdqwimt13Y3OZO 4xeLe7U8PqG|13|23-127-851-8031|9255.67|MACHINERY|into beans. fluffily final ideas haggle fluffily|
+25|Customer#000000025|Hp8GyFQgGHFYSilH5tBfe|12|22-603-468-3533|7133.70|FURNITURE|y. accounts sleep ruthlessly according to the regular theodolites. unusual instructions sleep. ironic, final|
+26|Customer#000000026|8ljrc5ZeMl7UciP|22|32-363-455-4837|5182.05|AUTOMOBILE|c requests use furiously ironic requests. slyly ironic dependencies us|
+27|Customer#000000027|IS8GIyxpBrLpMT0u7|3|13-137-193-2709|5679.84|BUILDING| about the carefully ironic pinto beans. accoun|
+28|Customer#000000028|iVyg0daQ,Tha8x2WPWA9m2529m|8|18-774-241-1462|1007.18|FURNITURE| along the regular deposits. furiously final pac|
+29|Customer#000000029|sJ5adtfyAkCK63df2,vF25zyQMVYE34uh|0|10-773-203-7342|7618.27|FURNITURE|its after the carefully final platelets x-ray against |
+30|Customer#000000030|nJDsELGAavU63Jl0c5NKsKfL8rIJQQkQnYL2QJY|1|11-764-165-5076|9321.01|BUILDING|lithely final requests. furiously unusual account|
+31|Customer#000000031|LUACbO0viaAv6eXOAebryDB xjVst|23|33-197-837-7094|5236.89|HOUSEHOLD|s use among the blithely pending depo|
+32|Customer#000000032|jD2xZzi UmId,DCtNBLXKj9q0Tlp2iQ6ZcO3J|15|25-430-914-2194|3471.53|BUILDING|cial ideas. final, furious requests across the e|
+33|Customer#000000033|qFSlMuLucBmx9xnn5ib2csWUweg D|17|27-375-391-1280|-78.56|AUTOMOBILE|s. slyly regular accounts are furiously. carefully pending requests|
+34|Customer#000000034|Q6G9wZ6dnczmtOx509xgE,M2KV|15|25-344-968-5422|8589.70|HOUSEHOLD|nder against the even, pending accounts. even|
+35|Customer#000000035|TEjWGE4nBzJL2|17|27-566-888-7431|1228.24|HOUSEHOLD|requests. special, express requests nag slyly furiousl|
+36|Customer#000000036|3TvCzjuPzpJ0,DdJ8kW5U|21|31-704-669-5769|4987.27|BUILDING|haggle. enticing, quiet platelets grow quickly bold sheaves. carefully regular acc|
+37|Customer#000000037|7EV4Pwh,3SboctTWt|8|18-385-235-7162|-917.75|FURNITURE|ilent packages are carefully among the deposits. furiousl|
+38|Customer#000000038|a5Ee5e9568R8RLP 2ap7|12|22-306-880-7212|6345.11|HOUSEHOLD|lar excuses. closely even asymptotes cajole blithely excuses. carefully silent pinto beans sleep carefully fin|
+39|Customer#000000039|nnbRg,Pvy33dfkorYE FdeZ60|2|12-387-467-6509|6264.31|AUTOMOBILE|tions. slyly silent excuses slee|
+40|Customer#000000040|gOnGWAyhSV1ofv|3|13-652-915-8939|1335.30|BUILDING|rges impress after the slyly ironic courts. foxes are. blithely |
+41|Customer#000000041|IM9mzmyoxeBmvNw8lA7G3Ydska2nkZF|10|20-917-711-4011|270.95|HOUSEHOLD|ly regular accounts hang bold, silent packages. unusual foxes haggle slyly above the special, final depo|
+42|Customer#000000042|ziSrvyyBke|5|15-416-330-4175|8727.01|BUILDING|ssly according to the pinto beans: carefully special requests across the even, pending accounts wake special|
+43|Customer#000000043|ouSbjHk8lh5fKX3zGso3ZSIj9Aa3PoaFd|19|29-316-665-2897|9904.28|MACHINERY|ial requests: carefully pending foxes detect quickly. carefully final courts cajole quickly. carefully|
+44|Customer#000000044|Oi,dOSPwDu4jo4x,,P85E0dmhZGvNtBwi|16|26-190-260-5375|7315.94|AUTOMOBILE|r requests around the unusual, bold a|
+45|Customer#000000045|4v3OcpFgoOmMG,CbnF,4mdC|9|19-715-298-9917|9983.38|AUTOMOBILE|nto beans haggle slyly alongside of t|
+46|Customer#000000046|eaTXWWm10L9|6|16-357-681-2007|5744.59|AUTOMOBILE|ctions. accounts sleep furiously even requests. regular, regular accounts cajole blithely around the final pa|
+47|Customer#000000047|b0UgocSqEW5 gdVbhNT|2|12-427-271-9466|274.58|BUILDING|ions. express, ironic instructions sleep furiously ironic ideas. furi|
+48|Customer#000000048|0UU iPhBupFvemNB|0|10-508-348-5882|3792.50|BUILDING|re fluffily pending foxes. pending, bold platelets sleep slyly. even platelets cajo|
+49|Customer#000000049|cNgAeX7Fqrdf7HQN9EwjUa4nxT,68L FKAxzl|10|20-908-631-4424|4573.94|FURNITURE|nusual foxes! fluffily pending packages maintain to the regular |
+50|Customer#000000050|9SzDYlkzxByyJ1QeTI o|6|16-658-112-3221|4266.13|MACHINERY|ts. furiously ironic accounts cajole furiously slyly ironic dinos.|
+51|Customer#000000051|uR,wEaiTvo4|12|22-344-885-4251|855.87|FURNITURE|eposits. furiously regular requests integrate carefully packages. furious|
+52|Customer#000000052|7 QOqGqqSy9jfV51BC71jcHJSD0|11|21-186-284-5998|5630.28|HOUSEHOLD|ic platelets use evenly even accounts. stealthy theodolites cajole furiou|
+53|Customer#000000053|HnaxHzTfFTZs8MuCpJyTbZ47Cm4wFOOgib|15|25-168-852-5363|4113.64|HOUSEHOLD|ar accounts are. even foxes are blithely. fluffily pending deposits boost|
+54|Customer#000000054|,k4vf 5vECGWFy,hosTE,|4|14-776-370-4745|868.90|AUTOMOBILE|sual, silent accounts. furiously express accounts cajole special deposits. final, final accounts use furi|
+55|Customer#000000055|zIRBR4KNEl HzaiV3a i9n6elrxzDEh8r8pDom|10|20-180-440-8525|4572.11|MACHINERY|ully unusual packages wake bravely bold packages. unusual requests boost deposits! blithely ironic packages ab|
+56|Customer#000000056|BJYZYJQk4yD5B|10|20-895-685-6920|6530.86|FURNITURE|. notornis wake carefully. carefully fluffy requests are furiously even accounts. slyly expre|
+57|Customer#000000057|97XYbsuOPRXPWU|21|31-835-306-1650|4151.93|AUTOMOBILE|ove the carefully special packages. even, unusual deposits sleep slyly pend|
+58|Customer#000000058|g9ap7Dk1Sv9fcXEWjpMYpBZIRUohi T|13|23-244-493-2508|6478.46|HOUSEHOLD|ideas. ironic ideas affix furiously express, final instructions. regular excuses use quickly e|
+59|Customer#000000059|zLOCP0wh92OtBihgspOGl4|1|11-355-584-3112|3458.60|MACHINERY|ously final packages haggle blithely after the express deposits. furiou|
+60|Customer#000000060|FyodhjwMChsZmUz7Jz0H|12|22-480-575-5866|2741.87|MACHINERY|latelets. blithely unusual courts boost furiously about the packages. blithely final instruct|
+61|Customer#000000061|9kndve4EAJxhg3veF BfXr7AqOsT39o gtqjaYE|17|27-626-559-8599|1536.24|FURNITURE|egular packages shall have to impress along the |
+62|Customer#000000062|upJK2Dnw13,|7|17-361-978-7059|595.61|MACHINERY|kly special dolphins. pinto beans are slyly. quickly regular accounts are furiously a|
+63|Customer#000000063|IXRSpVWWZraKII|21|31-952-552-9584|9331.13|AUTOMOBILE|ithely even accounts detect slyly above the fluffily ir|
+64|Customer#000000064|MbCeGY20kaKK3oalJD,OT|3|13-558-731-7204|-646.64|BUILDING|structions after the quietly ironic theodolites cajole be|
+65|Customer#000000065|RGT yzQ0y4l0H90P783LG4U95bXQFDRXbWa1sl,X|23|33-733-623-5267|8795.16|AUTOMOBILE|y final foxes serve carefully. theodolites are carefully. pending i|
+66|Customer#000000066|XbsEqXH1ETbJYYtA1A|22|32-213-373-5094|242.77|HOUSEHOLD|le slyly accounts. carefully silent packages benea|
+67|Customer#000000067|rfG0cOgtr5W8 xILkwp9fpCS8|9|19-403-114-4356|8166.59|MACHINERY|indle furiously final, even theodo|
+68|Customer#000000068|o8AibcCRkXvQFh8hF,7o|12|22-918-832-2411|6853.37|HOUSEHOLD| pending pinto beans impress realms. final dependencies |
+69|Customer#000000069|Ltx17nO9Wwhtdbe9QZVxNgP98V7xW97uvSH1prEw|9|19-225-978-5670|1709.28|HOUSEHOLD|thely final ideas around the quickly final dependencies affix carefully quickly final theodolites. final accounts c|
+70|Customer#000000070|mFowIuhnHjp2GjCiYYavkW kUwOjIaTCQ|22|32-828-107-2832|4867.52|FURNITURE|fter the special asymptotes. ideas after the unusual frets cajole quickly regular pinto be|
+71|Customer#000000071|TlGalgdXWBmMV,6agLyWYDyIz9MKzcY8gl,w6t1B|7|17-710-812-5403|-611.19|HOUSEHOLD|g courts across the regular, final pinto beans are blithely pending ac|
+72|Customer#000000072|putjlmskxE,zs,HqeIA9Wqu7dhgH5BVCwDwHHcf|2|12-759-144-9689|-362.86|FURNITURE|ithely final foxes sleep always quickly bold accounts. final wat|
+73|Customer#000000073|8IhIxreu4Ug6tt5mog4|0|10-473-439-3214|4288.50|BUILDING|usual, unusual packages sleep busily along the furiou|
+74|Customer#000000074|IkJHCA3ZThF7qL7VKcrU nRLl,kylf |4|14-199-862-7209|2764.43|MACHINERY|onic accounts. blithely slow packages would haggle carefully. qui|
+75|Customer#000000075|Dh 6jZ,cwxWLKQfRKkiGrzv6pm|18|28-247-803-9025|6684.10|AUTOMOBILE| instructions cajole even, even deposits. finally bold deposits use above the even pains. slyl|
+76|Customer#000000076|m3sbCvjMOHyaOofH,e UkGPtqc4|0|10-349-718-3044|5745.33|FURNITURE|pecial deposits. ironic ideas boost blithely according to the closely ironic theodolites! furiously final deposits n|
+77|Customer#000000077|4tAE5KdMFGD4byHtXF92vx|17|27-269-357-4674|1738.87|BUILDING|uffily silent requests. carefully ironic asymptotes among the ironic hockey players are carefully bli|
+78|Customer#000000078|HBOta,ZNqpg3U2cSL0kbrftkPwzX|9|19-960-700-9191|7136.97|FURNITURE|ests. blithely bold pinto beans h|
+79|Customer#000000079|n5hH2ftkVRwW8idtD,BmM2|15|25-147-850-4166|5121.28|MACHINERY|es. packages haggle furiously. regular, special requests poach after the quickly express ideas. blithely pending re|
+80|Customer#000000080|K,vtXp8qYB |0|10-267-172-7101|7383.53|FURNITURE|tect among the dependencies. bold accounts engage closely even pinto beans. ca|
+81|Customer#000000081|SH6lPA7JiiNC6dNTrR|20|30-165-277-3269|2023.71|BUILDING|r packages. fluffily ironic requests cajole fluffily. ironically regular theodolit|
+82|Customer#000000082|zhG3EZbap4c992Gj3bK,3Ne,Xn|18|28-159-442-5305|9468.34|AUTOMOBILE|s wake. bravely regular accounts are furiously. regula|
+83|Customer#000000083|HnhTNB5xpnSF20JBH4Ycs6psVnkC3RDf|22|32-817-154-4122|6463.51|BUILDING|ccording to the quickly bold warhorses. final, regular foxes integrate carefully. bold packages nag blithely ev|
+84|Customer#000000084|lpXz6Fwr9945rnbtMc8PlueilS1WmASr CB|11|21-546-818-3802|5174.71|FURNITURE|ly blithe foxes. special asymptotes haggle blithely against the furiously regular depo|
+85|Customer#000000085|siRerlDwiolhYR 8FgksoezycLj|5|15-745-585-8219|3386.64|FURNITURE|ronic ideas use above the slowly pendin|
+86|Customer#000000086|US6EGGHXbTTXPL9SBsxQJsuvy|0|10-677-951-2353|3306.32|HOUSEHOLD|quests. pending dugouts are carefully aroun|
+87|Customer#000000087|hgGhHVSWQl 6jZ6Ev|23|33-869-884-7053|6327.54|FURNITURE|hely ironic requests integrate according to the ironic accounts. slyly regular pla|
+88|Customer#000000088|wtkjBN9eyrFuENSMmMFlJ3e7jE5KXcg|16|26-516-273-2566|8031.44|AUTOMOBILE|s are quickly above the quickly ironic instructions; even requests about the carefully final deposi|
+89|Customer#000000089|dtR, y9JQWUO6FoJExyp8whOU|14|24-394-451-5404|1530.76|FURNITURE|counts are slyly beyond the slyly final accounts. quickly final ideas wake. r|
+90|Customer#000000090|QxCzH7VxxYUWwfL7|16|26-603-491-1238|7354.23|BUILDING|sly across the furiously even |
+91|Customer#000000091|S8OMYFrpHwoNHaGBeuS6E 6zhHGZiprw1b7 q|8|18-239-400-3677|4643.14|AUTOMOBILE|onic accounts. fluffily silent pinto beans boost blithely according to the fluffily exp|
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diff --git a/hyracks/hyracks-hdfs/src/test/resources/expected/part-0 b/hyracks/hyracks-hdfs/src/test/resources/expected/part-0
new file mode 100755
index 0000000..ce3b00c
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/resources/expected/part-0
@@ -0,0 +1,150 @@
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diff --git a/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/core-site.xml b/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/core-site.xml
new file mode 100644
index 0000000..47dfac5
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/core-site.xml
@@ -0,0 +1,18 @@
+<?xml version="1.0"?>
+<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
+
+<!-- Put site-specific property overrides in this file. -->
+
+<configuration>
+
+<property>
+    <name>fs.default.name</name>
+    <value>hdfs://127.0.0.1:31888</value>
+</property>
+<property>
+    <name>hadoop.tmp.dir</name>
+    <value>/tmp/hadoop</value>
+</property>
+
+
+</configuration>
diff --git a/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/hdfs-site.xml b/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/hdfs-site.xml
new file mode 100644
index 0000000..8d29b1d
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/hdfs-site.xml
@@ -0,0 +1,18 @@
+<?xml version="1.0"?>
+<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
+
+<!-- Put site-specific property overrides in this file. -->
+
+<configuration>
+
+<property>
+   <name>dfs.replication</name>
+   <value>1</value>
+</property>
+
+<property>
+	<name>dfs.block.size</name>
+	<value>65536</value>
+</property>
+
+</configuration>
diff --git a/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/log4j.properties b/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/log4j.properties
new file mode 100755
index 0000000..d5e6004
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/log4j.properties
@@ -0,0 +1,94 @@
+# Define some default values that can be overridden by system properties
+hadoop.root.logger=FATAL,console
+hadoop.log.dir=.
+hadoop.log.file=hadoop.log
+
+# Define the root logger to the system property "hadoop.root.logger".
+log4j.rootLogger=${hadoop.root.logger}, EventCounter
+
+# Logging Threshold
+log4j.threshhold=FATAL
+
+#
+# Daily Rolling File Appender
+#
+
+log4j.appender.DRFA=org.apache.log4j.DailyRollingFileAppender
+log4j.appender.DRFA.File=${hadoop.log.dir}/${hadoop.log.file}
+
+# Rollver at midnight
+log4j.appender.DRFA.DatePattern=.yyyy-MM-dd
+
+# 30-day backup
+#log4j.appender.DRFA.MaxBackupIndex=30
+log4j.appender.DRFA.layout=org.apache.log4j.PatternLayout
+
+# Pattern format: Date LogLevel LoggerName LogMessage
+log4j.appender.DRFA.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n
+# Debugging Pattern format
+#log4j.appender.DRFA.layout.ConversionPattern=%d{ISO8601} %-5p %c{2} (%F:%M(%L)) - %m%n
+
+
+#
+# console
+# Add "console" to rootlogger above if you want to use this 
+#
+
+log4j.appender.console=org.apache.log4j.ConsoleAppender
+log4j.appender.console.target=System.err
+log4j.appender.console.layout=org.apache.log4j.PatternLayout
+log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{2}: %m%n
+
+#
+# TaskLog Appender
+#
+
+#Default values
+hadoop.tasklog.taskid=null
+hadoop.tasklog.noKeepSplits=4
+hadoop.tasklog.totalLogFileSize=100
+hadoop.tasklog.purgeLogSplits=true
+hadoop.tasklog.logsRetainHours=12
+
+log4j.appender.TLA=org.apache.hadoop.mapred.TaskLogAppender
+log4j.appender.TLA.taskId=${hadoop.tasklog.taskid}
+log4j.appender.TLA.totalLogFileSize=${hadoop.tasklog.totalLogFileSize}
+
+log4j.appender.TLA.layout=org.apache.log4j.PatternLayout
+log4j.appender.TLA.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n
+
+#
+# Rolling File Appender
+#
+
+#log4j.appender.RFA=org.apache.log4j.RollingFileAppender
+#log4j.appender.RFA.File=${hadoop.log.dir}/${hadoop.log.file}
+
+# Logfile size and and 30-day backups
+#log4j.appender.RFA.MaxFileSize=1MB
+#log4j.appender.RFA.MaxBackupIndex=30
+
+#log4j.appender.RFA.layout=org.apache.log4j.PatternLayout
+#log4j.appender.RFA.layout.ConversionPattern=%d{ISO8601} %-5p %c{2} - %m%n
+#log4j.appender.RFA.layout.ConversionPattern=%d{ISO8601} %-5p %c{2} (%F:%M(%L)) - %m%n
+
+#
+# FSNamesystem Audit logging
+# All audit events are logged at INFO level
+#
+log4j.logger.org.apache.hadoop.fs.FSNamesystem.audit=WARN
+
+# Custom Logging levels
+
+#log4j.logger.org.apache.hadoop.mapred.JobTracker=DEBUG
+#log4j.logger.org.apache.hadoop.mapred.TaskTracker=DEBUG
+#log4j.logger.org.apache.hadoop.fs.FSNamesystem=DEBUG
+
+# Jets3t library
+log4j.logger.org.jets3t.service.impl.rest.httpclient.RestS3Service=ERROR
+
+#
+# Event Counter Appender
+# Sends counts of logging messages at different severity levels to Hadoop Metrics.
+#
+log4j.appender.EventCounter=org.apache.hadoop.metrics.jvm.EventCounter
diff --git a/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/mapred-site.xml b/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/mapred-site.xml
new file mode 100644
index 0000000..39b6505
--- /dev/null
+++ b/hyracks/hyracks-hdfs/src/test/resources/hadoop/conf/mapred-site.xml
@@ -0,0 +1,25 @@
+<?xml version="1.0"?>
+<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
+
+<!-- Put site-specific property overrides in this file. -->
+
+<configuration>
+
+  <property>
+    <name>mapred.job.tracker</name>
+    <value>localhost:29007</value>
+  </property>
+  <property>
+     <name>mapred.tasktracker.map.tasks.maximum</name>
+     <value>20</value>
+  </property>
+   <property>
+      <name>mapred.tasktracker.reduce.tasks.maximum</name>
+      <value>20</value>
+   </property>
+   <property>
+      <name>mapred.max.split.size</name>
+      <value>2048</value>
+   </property>
+
+</configuration>