diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/pom.xml b/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/pom.xml
new file mode 100644
index 0000000..9092655
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/pom.xml
@@ -0,0 +1,108 @@
+<?xml version="1.0"?>
+<project
+	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"
+	xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+	<modelVersion>4.0.0</modelVersion>
+	<artifactId>hyracks-hdfs-0.20.2</artifactId>
+	<name>hyracks-hdfs-0.20.2</name>
+	<parent>
+		<artifactId>hyracks-hdfs</artifactId>
+		<groupId>edu.uci.ics.hyracks</groupId>
+		<version>0.2.3-SNAPSHOT</version>
+	</parent>
+
+	<build>
+		<plugins>
+			<plugin>
+				<groupId>org.apache.maven.plugins</groupId>
+				<artifactId>maven-compiler-plugin</artifactId>
+				<version>2.0.2</version>
+				<configuration>
+					<source>1.7</source>
+					<target>1.7</target>
+					<fork>true</fork>
+				</configuration>
+			</plugin>
+			<plugin>
+				<groupId>org.apache.maven.plugins</groupId>
+				<artifactId>maven-surefire-plugin</artifactId>
+				<version>2.7.2</version>
+				<configuration>
+					<forkMode>pertest</forkMode>
+					<includes>
+						<include>**/*TestSuite.java</include>
+						<include>**/*Test.java</include>
+					</includes>
+				</configuration>
+			</plugin>
+		</plugins>
+	</build>
+
+	<profiles>
+		<profile>
+			<activation>
+				<activeByDefault>true</activeByDefault>
+			</activation>
+			<id>hadoop-0.20.2</id>
+			<dependencies>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-core</artifactId>
+					<version>0.20.2</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-test</artifactId>
+					<version>0.20.2</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>1.0.4</value>
+				</property>
+			</activation>
+			<id>hadoop-1.0.4</id>
+			<dependencies>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-core</artifactId>
+					<version>1.0.4</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-minicluster</artifactId>
+					<version>1.0.4</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-test</artifactId>
+					<version>1.0.4</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+	</profiles>
+
+	<dependencies>
+		<dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hyracks-api</artifactId>
+			<version>0.2.3-SNAPSHOT</version>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
+	</dependencies>
+</project>
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/src/main/java/edu/uci/ics/hyracks/hdfs/ContextFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/src/main/java/edu/uci/ics/hyracks/hdfs/ContextFactory.java
new file mode 100644
index 0000000..16ce76b
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/src/main/java/edu/uci/ics/hyracks/hdfs/ContextFactory.java
@@ -0,0 +1,39 @@
+package edu.uci.ics.hyracks.hdfs;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.mapreduce.JobContext;
+import org.apache.hadoop.mapreduce.JobID;
+import org.apache.hadoop.mapreduce.Mapper;
+import org.apache.hadoop.mapreduce.TaskAttemptContext;
+import org.apache.hadoop.mapreduce.TaskAttemptID;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+/**
+ * The wrapper to generate TaskTattemptContext
+ */
+public class ContextFactory {
+
+    @SuppressWarnings({ "unchecked", "rawtypes" })
+    public TaskAttemptContext createContext(Configuration conf, TaskAttemptID tid) throws HyracksDataException {
+        try {
+            return new Mapper().new Context(conf, tid, null, null, null, null, null);
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    public TaskAttemptContext createContext(Configuration conf, int partition) throws HyracksDataException {
+        try {
+            TaskAttemptID tid = new TaskAttemptID("", 0, true, partition, 0);
+            return new TaskAttemptContext(conf, tid);
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    public JobContext createJobContext(Configuration conf) {
+        return new JobContext(conf, new JobID("0", 0));
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/src/main/java/edu/uci/ics/hyracks/hdfs/MiniDFSClusterFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/src/main/java/edu/uci/ics/hyracks/hdfs/MiniDFSClusterFactory.java
new file mode 100644
index 0000000..9133d35
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-0.20.2/src/main/java/edu/uci/ics/hyracks/hdfs/MiniDFSClusterFactory.java
@@ -0,0 +1,17 @@
+package edu.uci.ics.hyracks.hdfs;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hdfs.MiniDFSCluster;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+public class MiniDFSClusterFactory {
+
+    public MiniDFSCluster getMiniDFSCluster(Configuration conf, int numberOfNC) throws HyracksDataException {
+        try {
+            return new MiniDFSCluster(conf, numberOfNC, true, null);
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/pom.xml b/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/pom.xml
new file mode 100644
index 0000000..8b7ecf0
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/pom.xml
@@ -0,0 +1,219 @@
+<?xml version="1.0"?>
+<project
+	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"
+	xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+	<modelVersion>4.0.0</modelVersion>
+	<artifactId>hyracks-hdfs-0.23.1</artifactId>
+	<name>hyracks-hdfs-0.23.1</name>
+	<parent>
+		<artifactId>hyracks-hdfs</artifactId>
+		<groupId>edu.uci.ics.hyracks</groupId>
+		<version>0.2.3-SNAPSHOT</version>
+	</parent>
+	<build>
+		<plugins>
+			<plugin>
+				<groupId>org.apache.maven.plugins</groupId>
+				<artifactId>maven-compiler-plugin</artifactId>
+				<version>2.0.2</version>
+				<configuration>
+					<source>1.7</source>
+					<target>1.7</target>
+					<fork>true</fork>
+				</configuration>
+			</plugin>
+			<plugin>
+				<groupId>org.apache.maven.plugins</groupId>
+				<artifactId>maven-surefire-plugin</artifactId>
+				<version>2.7.2</version>
+				<configuration>
+					<forkMode>pertest</forkMode>
+					<includes>
+						<include>**/*TestSuite.java</include>
+						<include>**/*Test.java</include>
+					</includes>
+				</configuration>
+			</plugin>
+		</plugins>
+	</build>
+
+	<profiles>
+		<profile>
+			<activation>
+				<activeByDefault>true</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>0.23.1</value>
+				</property>
+			</activation>
+			<id>hadoop-0.23.1</id>
+			<dependencies>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-common</artifactId>
+					<version>0.23.1</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-mapreduce-client-core</artifactId>
+					<version>0.23.1</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-hdfs</artifactId>
+					<version>0.23.1</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-minicluster</artifactId>
+					<version>0.23.1</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<id>hadoop-0.23.6</id>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>0.23.6</value>
+				</property>
+			</activation>
+			<dependencies>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-common</artifactId>
+					<version>0.23.6</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-mapreduce-client-core</artifactId>
+					<version>0.23.6</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-hdfs</artifactId>
+					<version>0.23.6</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-minicluster</artifactId>
+					<version>0.23.6</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>cdh-4.2</value>
+				</property>
+			</activation>
+			<id>cdh-4.2</id>
+			<dependencies>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-common</artifactId>
+					<version>2.0.0-cdh4.2.0</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-mapreduce-client-core</artifactId>
+					<version>2.0.0-cdh4.2.0</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-hdfs</artifactId>
+					<version>2.0.0-cdh4.2.0</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-minicluster</artifactId>
+					<version>2.0.0-cdh4.2.0</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>cdh-4.1</value>
+				</property>
+			</activation>
+			<id>cdh-4.1</id>
+			<dependencies>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-common</artifactId>
+					<version>2.0.0-cdh4.1.0</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-mapreduce-client-core</artifactId>
+					<version>2.0.0-cdh4.1.0</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-hdfs</artifactId>
+					<version>2.0.0-cdh4.1.0</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+				<dependency>
+					<groupId>org.apache.hadoop</groupId>
+					<artifactId>hadoop-minicluster</artifactId>
+					<version>2.0.0-cdh4.1.0</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+	</profiles>
+
+	<dependencies>
+		<dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hyracks-api</artifactId>
+			<version>0.2.3-SNAPSHOT</version>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
+	</dependencies>
+
+	<repositories>
+		<repository>
+			<id>cloudera</id>
+			<url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
+		</repository>
+	</repositories>
+</project>
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/src/main/java/edu/uci/ics/hyracks/hdfs/ContextFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/src/main/java/edu/uci/ics/hyracks/hdfs/ContextFactory.java
new file mode 100644
index 0000000..ddcce64
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/src/main/java/edu/uci/ics/hyracks/hdfs/ContextFactory.java
@@ -0,0 +1,40 @@
+package edu.uci.ics.hyracks.hdfs;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.mapreduce.JobContext;
+import org.apache.hadoop.mapreduce.JobID;
+import org.apache.hadoop.mapreduce.TaskAttemptContext;
+import org.apache.hadoop.mapreduce.TaskAttemptID;
+import org.apache.hadoop.mapreduce.TaskType;
+import org.apache.hadoop.mapreduce.task.JobContextImpl;
+import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+/**
+ * The wrapper to generate TaskTattemptContext
+ */
+public class ContextFactory {
+
+    public TaskAttemptContext createContext(Configuration conf, TaskAttemptID tid) throws HyracksDataException {
+        try {
+            return new TaskAttemptContextImpl(conf, tid);
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    public TaskAttemptContext createContext(Configuration conf, int partition) throws HyracksDataException {
+        try {
+            TaskAttemptID tid = new TaskAttemptID("", 0, TaskType.REDUCE, partition, 0);
+            return new TaskAttemptContextImpl(conf, tid);
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+
+    public JobContext createJobContext(Configuration conf) {
+        return new JobContextImpl(conf, new JobID("0", 0));
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/src/main/java/edu/uci/ics/hyracks/hdfs/MiniDFSClusterFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/src/main/java/edu/uci/ics/hyracks/hdfs/MiniDFSClusterFactory.java
new file mode 100644
index 0000000..ded75f1
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-0.23.1/src/main/java/edu/uci/ics/hyracks/hdfs/MiniDFSClusterFactory.java
@@ -0,0 +1,20 @@
+package edu.uci.ics.hyracks.hdfs;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hdfs.MiniDFSCluster;
+
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+public class MiniDFSClusterFactory {
+
+    public MiniDFSCluster getMiniDFSCluster(Configuration conf, int numberOfNC) throws HyracksDataException {
+        try {
+            MiniDFSCluster.Builder builder = new MiniDFSCluster.Builder(conf);
+            builder.numDataNodes(numberOfNC);
+            MiniDFSCluster dfsCluster = builder.build();
+            return dfsCluster;
+        } catch (Exception e) {
+            throw new HyracksDataException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/pom.xml b/hyracks/hyracks-hdfs/hyracks-hdfs-core/pom.xml
new file mode 100644
index 0000000..a28c698a
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/pom.xml
@@ -0,0 +1,217 @@
+<?xml version="1.0"?>
+<project
+	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"
+	xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+	<modelVersion>4.0.0</modelVersion>
+	<artifactId>hyracks-hdfs-core</artifactId>
+	<name>hyracks-hdfs-core</name>
+	<parent>
+		<artifactId>hyracks-hdfs</artifactId>
+		<groupId>edu.uci.ics.hyracks</groupId>
+		<version>0.2.3-SNAPSHOT</version>
+	</parent>
+
+	<build>
+		<plugins>
+			<plugin>
+				<groupId>org.apache.maven.plugins</groupId>
+				<artifactId>maven-compiler-plugin</artifactId>
+				<version>2.0.2</version>
+				<configuration>
+					<source>1.7</source>
+					<target>1.7</target>
+					<fork>true</fork>
+				</configuration>
+			</plugin>
+			<plugin>
+				<groupId>org.apache.maven.plugins</groupId>
+				<artifactId>maven-surefire-plugin</artifactId>
+				<version>2.7.2</version>
+				<configuration>
+					<forkMode>pertest</forkMode>
+					<includes>
+						<include>**/*TestSuite.java</include>
+						<include>**/*Test.java</include>
+					</includes>
+				</configuration>
+			</plugin>
+			<plugin>
+				<artifactId>maven-clean-plugin</artifactId>
+				<version>2.5</version>
+				<configuration>
+					<filesets>
+						<fileset>
+							<directory>.</directory>
+							<includes>
+								<include>edu*</include>
+								<include>actual*</include>
+								<include>build*</include>
+								<include>expect*</include>
+								<include>ClusterController*</include>
+								<include>edu.uci.*</include>
+							</includes>
+						</fileset>
+					</filesets>
+				</configuration>
+			</plugin>
+		</plugins>
+	</build>
+
+	<profiles>
+		<profile>
+			<activation>
+				<activeByDefault>true</activeByDefault>
+			</activation>
+			<id>hadoop-0.20.2</id>
+			<dependencies>
+				<dependency>
+					<groupId>edu.uci.ics.hyracks</groupId>
+					<artifactId>hyracks-hdfs-0.20.2</artifactId>
+					<version>0.2.3-SNAPSHOT</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>1.0.4</value>
+				</property>
+			</activation>
+			<id>hadoop-1.0.4</id>
+			<dependencies>
+				<dependency>
+					<groupId>edu.uci.ics.hyracks</groupId>
+					<artifactId>hyracks-hdfs-0.20.2</artifactId>
+					<version>0.2.3-SNAPSHOT</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>0.23.1</value>
+				</property>
+			</activation>
+			<id>hadoop-0.23.1</id>
+			<dependencies>
+				<dependency>
+					<groupId>edu.uci.ics.hyracks</groupId>
+					<artifactId>hyracks-hdfs-0.23.1</artifactId>
+					<version>0.2.3-SNAPSHOT</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>0.23.6</value>
+				</property>
+			</activation>
+			<id>hadoop-0.23.6</id>
+			<dependencies>
+				<dependency>
+					<groupId>edu.uci.ics.hyracks</groupId>
+					<artifactId>hyracks-hdfs-0.23.1</artifactId>
+					<version>0.2.3-SNAPSHOT</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>cdh-4.1</value>
+				</property>
+			</activation>
+			<id>cdh-4.1</id>
+			<dependencies>
+				<dependency>
+					<groupId>edu.uci.ics.hyracks</groupId>
+					<artifactId>hyracks-hdfs-0.23.1</artifactId>
+					<version>0.2.3-SNAPSHOT</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+		<profile>
+			<activation>
+				<activeByDefault>false</activeByDefault>
+				<property>
+					<name>hadoop</name>
+					<value>cdh-4.2</value>
+				</property>
+			</activation>
+			<id>cdh-4.2</id>
+			<dependencies>
+				<dependency>
+					<groupId>edu.uci.ics.hyracks</groupId>
+					<artifactId>hyracks-hdfs-0.23.1</artifactId>
+					<version>0.2.3-SNAPSHOT</version>
+					<type>jar</type>
+					<scope>compile</scope>
+				</dependency>
+			</dependencies>
+		</profile>
+	</profiles>
+
+	<dependencies>
+		<dependency>
+			<groupId>junit</groupId>
+			<artifactId>junit</artifactId>
+			<version>3.8.1</version>
+			<scope>test</scope>
+		</dependency>
+		<dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hyracks-api</artifactId>
+			<version>0.2.3-SNAPSHOT</version>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hyracks-dataflow-std</artifactId>
+			<version>0.2.3-SNAPSHOT</version>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hyracks-dataflow-common</artifactId>
+			<version>0.2.3-SNAPSHOT</version>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hyracks-control-cc</artifactId>
+			<version>0.2.3-SNAPSHOT</version>
+			<scope>test</scope>
+		</dependency>
+		<dependency>
+			<groupId>edu.uci.ics.hyracks</groupId>
+			<artifactId>hyracks-control-nc</artifactId>
+			<version>0.2.3-SNAPSHOT</version>
+			<scope>test</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.apache.commons</groupId>
+			<artifactId>commons-io</artifactId>
+			<version>1.3.2</version>
+			<scope>test</scope>
+		</dependency>
+	</dependencies>
+</project>
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParser.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParser.java
new file mode 100644
index 0000000..5d35ec5
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParser.java
@@ -0,0 +1,63 @@
+/*
+ * 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> {
+
+    /**
+     * Initialize the key value parser.
+     * 
+     * @param writer
+     *            The hyracks writer for outputting data.
+     * @throws HyracksDataException
+     */
+    public void open(IFrameWriter writer) throws HyracksDataException;
+
+    /**
+     * 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
+     *            The key returned from Hadoop's InputReader.
+     * @param value
+     *            The value returned from Hadoop's InputReader.
+     * @param writer
+     *            The hyracks writer for outputting data.
+     * @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
+     *            The hyracks writer for outputting data.
+     * @throws HyracksDataException
+     */
+    public void close(IFrameWriter writer) throws HyracksDataException;
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParserFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParserFactory.java
new file mode 100644
index 0000000..7d6f868
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/IKeyValueParserFactory.java
@@ -0,0 +1,42 @@
+/*
+ * 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;
+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 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) throws HyracksDataException;
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/INcCollection.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/INcCollection.java
new file mode 100644
index 0000000..c51c1dd
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/INcCollection.java
@@ -0,0 +1,11 @@
+package edu.uci.ics.hyracks.hdfs.api;
+
+import org.apache.hadoop.mapred.InputSplit;
+
+@SuppressWarnings("deprecation")
+public interface INcCollection {
+
+    public String findNearestAvailableSlot(InputSplit split);
+
+    public int numAvailableSlots();
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/INcCollectionBuilder.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/INcCollectionBuilder.java
new file mode 100644
index 0000000..ef3ff23
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/INcCollectionBuilder.java
@@ -0,0 +1,18 @@
+package edu.uci.ics.hyracks.hdfs.api;
+
+import java.util.List;
+import java.util.Map;
+
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+
+/**
+ * NC collections
+ * 
+ * @author yingyib
+ */
+public interface INcCollectionBuilder {
+
+    public INcCollection build(Map<String, NodeControllerInfo> ncNameToNcInfos,
+            Map<String, List<String>> ipToNcMapping, Map<String, Integer> ncNameToIndex, String[] NCs, int[] workloads,
+            int slotLimit);
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriter.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriter.java
new file mode 100644
index 0000000..8e85627
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriter.java
@@ -0,0 +1,57 @@
+/*
+ * 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 {
+
+    /**
+     * Initialize the the tuple writer.
+     * 
+     * @param output
+     *            The channel for output data.
+     * @throws HyracksDataException
+     */
+    public void open(DataOutput output) throws HyracksDataException;
+
+    /**
+     * 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;
+
+    /**
+     * Close the writer.
+     * 
+     * @param output
+     *            The channel for output data.
+     * @throws HyracksDataException
+     */
+    public void close(DataOutput output) throws HyracksDataException;
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriterFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriterFactory.java
new file mode 100644
index 0000000..9a025c2
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/api/ITupleWriterFactory.java
@@ -0,0 +1,35 @@
+/*
+ * 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;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+
+/**
+ * Users need to implement this interface to use the HDFSWriteOperatorDescriptor.
+ */
+public interface ITupleWriterFactory extends Serializable {
+
+    /**
+     * @param ctx
+     *            the IHyracksTaskContext
+     * @return a tuple writer instance
+     */
+    public ITupleWriter getTupleWriter(IHyracksTaskContext ctx) throws HyracksDataException;
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/ConfFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/ConfFactory.java
new file mode 100644
index 0000000..4fa0164
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSReadOperatorDescriptor.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSReadOperatorDescriptor.java
new file mode 100644
index 0000000..f49688b
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSReadOperatorDescriptor.java
@@ -0,0 +1,145 @@
+/*
+ * 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();
+
+        return new AbstractUnaryOutputSourceOperatorNodePushable() {
+            private String nodeName = ctx.getJobletContext().getApplicationContext().getNodeId();
+
+            @SuppressWarnings("unchecked")
+            @Override
+            public void initialize() throws HyracksDataException {
+                ClassLoader ctxCL = Thread.currentThread().getContextClassLoader();
+                try {
+                    Thread.currentThread().setContextClassLoader(getClass().getClassLoader());
+                    JobConf conf = confFactory.getConf();
+                    IKeyValueParser parser = tupleParserFactory.createKeyValueParser(ctx);
+                    writer.open();
+                    parser.open(writer);
+                    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.close(writer);
+                    writer.close();
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                } finally {
+                    Thread.currentThread().setContextClassLoader(ctxCL);
+                }
+            }
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSWriteOperatorDescriptor.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSWriteOperatorDescriptor.java
new file mode 100644
index 0000000..3ce6b2a
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/HDFSWriteOperatorDescriptor.java
@@ -0,0 +1,131 @@
+/*
+ * 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 {
+
+        return new AbstractUnaryInputSinkOperatorNodePushable() {
+
+            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;
+            private ClassLoader ctxCL;
+
+            @Override
+            public void open() throws HyracksDataException {
+                ctxCL = Thread.currentThread().getContextClassLoader();
+                Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
+                JobConf conf = confFactory.getConf();
+                String outputDirPath = FileOutputFormat.getOutputPath(conf).toString();
+                String fileName = outputDirPath + File.separator + "part-" + partition;
+
+                tupleWriter = tupleWriterFactory.getTupleWriter(ctx);
+                try {
+                    FileSystem dfs = FileSystem.get(conf);
+                    dos = dfs.create(new Path(fileName), true);
+                    tupleWriter.open(dos);
+                } 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 {
+                    tupleWriter.close(dos);
+                    dos.close();
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                } finally {
+                    Thread.currentThread().setContextClassLoader(ctxCL);
+                }
+            }
+
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/InputSplitsFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/InputSplitsFactory.java
new file mode 100644
index 0000000..147e872
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/dataflow/InputSplitsFactory.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.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.FileSplit;
+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();
+        } else {
+            splitClassName = FileSplit.class.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/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryComparatorFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryComparatorFactory.java
new file mode 100644
index 0000000..90c5977
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryHashFunctionFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/RawBinaryHashFunctionFactory.java
new file mode 100644
index 0000000..7895fec
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextKeyValueParserFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextKeyValueParserFactory.java
new file mode 100644
index 0000000..9574bb4
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextKeyValueParserFactory.java
@@ -0,0 +1,71 @@
+/*
+ * 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 open(IFrameWriter writer) {
+
+            }
+
+            @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 close(IFrameWriter writer) throws HyracksDataException {
+                FrameUtils.flushFrame(buffer, writer);
+            }
+
+        };
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextTupleWriterFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextTupleWriterFactory.java
new file mode 100644
index 0000000..0da14e5
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/lib/TextTupleWriterFactory.java
@@ -0,0 +1,60 @@
+/*
+ * 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.context.IHyracksTaskContext;
+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(IHyracksTaskContext ctx) {
+        return new ITupleWriter() {
+            private byte newLine = "\n".getBytes()[0];
+
+            @Override
+            public void open(DataOutput output) {
+
+            }
+
+            @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);
+                }
+            }
+
+            @Override
+            public void close(DataOutput output) {
+
+            }
+
+        };
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/IPProximityNcCollectionBuilder.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/IPProximityNcCollectionBuilder.java
new file mode 100644
index 0000000..320b48b
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/IPProximityNcCollectionBuilder.java
@@ -0,0 +1,121 @@
+package edu.uci.ics.hyracks.hdfs.scheduler;
+
+import java.net.InetAddress;
+import java.util.List;
+import java.util.Map;
+import java.util.Map.Entry;
+import java.util.TreeMap;
+
+import org.apache.hadoop.io.BytesWritable;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.mapred.InputSplit;
+
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+import edu.uci.ics.hyracks.hdfs.api.INcCollection;
+import edu.uci.ics.hyracks.hdfs.api.INcCollectionBuilder;
+
+@SuppressWarnings("deprecation")
+public class IPProximityNcCollectionBuilder implements INcCollectionBuilder {
+
+    @Override
+    public INcCollection build(Map<String, NodeControllerInfo> ncNameToNcInfos,
+            final Map<String, List<String>> ipToNcMapping, final Map<String, Integer> ncNameToIndex, String[] NCs,
+            final int[] workloads, final int slotLimit) {
+        final TreeMap<BytesWritable, IntWritable> availableIpsToSlots = new TreeMap<BytesWritable, IntWritable>();
+        for (int i = 0; i < workloads.length; i++) {
+            if (workloads[i] < slotLimit) {
+                BytesWritable ip = new BytesWritable(ncNameToNcInfos.get(NCs[i]).getNetworkAddress().getIpAddress());
+                IntWritable availableSlot = availableIpsToSlots.get(ip);
+                if (availableSlot == null) {
+                    availableSlot = new IntWritable(slotLimit - workloads[i]);
+                    availableIpsToSlots.put(ip, availableSlot);
+                } else {
+                    availableSlot.set(slotLimit - workloads[i] + availableSlot.get());
+                }
+            }
+        }
+        return new INcCollection() {
+
+            @Override
+            public String findNearestAvailableSlot(InputSplit split) {
+                try {
+                    String[] locs = split.getLocations();
+                    int minDistance = Integer.MAX_VALUE;
+                    BytesWritable currentCandidateIp = null;
+                    if (locs == null || locs.length > 0) {
+                        for (int j = 0; j < locs.length; j++) {
+                            /**
+                             * get all the IP addresses from the name
+                             */
+                            InetAddress[] allIps = InetAddress.getAllByName(locs[j]);
+                            for (InetAddress ip : allIps) {
+                                BytesWritable splitIp = new BytesWritable(ip.getAddress());
+                                /**
+                                 * if the node controller exists
+                                 */
+                                BytesWritable candidateNcIp = availableIpsToSlots.floorKey(splitIp);
+                                if (candidateNcIp == null) {
+                                    candidateNcIp = availableIpsToSlots.ceilingKey(splitIp);
+                                }
+                                if (candidateNcIp != null) {
+                                    if (availableIpsToSlots.get(candidateNcIp).get() > 0) {
+                                        byte[] candidateIP = candidateNcIp.getBytes();
+                                        byte[] splitIP = splitIp.getBytes();
+                                        int candidateInt = candidateIP[0] << 24 | (candidateIP[1] & 0xFF) << 16
+                                                | (candidateIP[2] & 0xFF) << 8 | (candidateIP[3] & 0xFF);
+                                        int splitInt = splitIP[0] << 24 | (splitIP[1] & 0xFF) << 16
+                                                | (splitIP[2] & 0xFF) << 8 | (splitIP[3] & 0xFF);
+                                        int distance = Math.abs(candidateInt - splitInt);
+                                        if (minDistance > distance) {
+                                            minDistance = distance;
+                                            currentCandidateIp = candidateNcIp;
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                    } else {
+                        for (Entry<BytesWritable, IntWritable> entry : availableIpsToSlots.entrySet()) {
+                            if (entry.getValue().get() > 0) {
+                                currentCandidateIp = entry.getKey();
+                                break;
+                            }
+                        }
+                    }
+
+                    if (currentCandidateIp != null) {
+                        /**
+                         * Update the entry of the selected IP
+                         */
+                        IntWritable availableSlot = availableIpsToSlots.get(currentCandidateIp);
+                        availableSlot.set(availableSlot.get() - 1);
+                        if (availableSlot.get() == 0) {
+                            availableIpsToSlots.remove(currentCandidateIp);
+                        }
+                        /**
+                         * Update the entry of the selected NC
+                         */
+                        List<String> dataLocations = ipToNcMapping.get(InetAddress.getByAddress(
+                                currentCandidateIp.getBytes()).getHostAddress());
+                        for (String nc : dataLocations) {
+                            int ncIndex = ncNameToIndex.get(nc);
+                            if (workloads[ncIndex] < slotLimit) {
+                                return nc;
+                            }
+                        }
+                    }
+                    /** not scheduled */
+                    return null;
+                } catch (Exception e) {
+                    throw new IllegalStateException(e);
+                }
+            }
+
+            @Override
+            public int numAvailableSlots() {
+                return availableIpsToSlots.size();
+            }
+
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/RackAwareNcCollectionBuilder.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/RackAwareNcCollectionBuilder.java
new file mode 100644
index 0000000..fa5e7ae
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/RackAwareNcCollectionBuilder.java
@@ -0,0 +1,211 @@
+package edu.uci.ics.hyracks.hdfs.scheduler;
+
+import java.net.InetAddress;
+import java.util.ArrayList;
+import java.util.Comparator;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Map.Entry;
+import java.util.TreeMap;
+import java.util.logging.Logger;
+
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.mapred.InputSplit;
+
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+import edu.uci.ics.hyracks.api.topology.ClusterTopology;
+import edu.uci.ics.hyracks.hdfs.api.INcCollection;
+import edu.uci.ics.hyracks.hdfs.api.INcCollectionBuilder;
+
+@SuppressWarnings("deprecation")
+public class RackAwareNcCollectionBuilder implements INcCollectionBuilder {
+    private static final Logger LOGGER = Logger.getLogger(RackAwareNcCollectionBuilder.class.getName());
+    private ClusterTopology topology;
+
+    public RackAwareNcCollectionBuilder(ClusterTopology topology) {
+        this.topology = topology;
+    }
+
+    @Override
+    public INcCollection build(Map<String, NodeControllerInfo> ncNameToNcInfos,
+            final Map<String, List<String>> ipToNcMapping, final Map<String, Integer> ncNameToIndex, String[] NCs,
+            final int[] workloads, final int slotLimit) {
+        try {
+            final Map<List<Integer>, List<String>> pathToNCs = new HashMap<List<Integer>, List<String>>();
+            for (int i = 0; i < NCs.length; i++) {
+                List<Integer> path = new ArrayList<Integer>();
+                String ipAddress = InetAddress.getByAddress(
+                        ncNameToNcInfos.get(NCs[i]).getNetworkAddress().getIpAddress()).getHostAddress();
+                topology.lookupNetworkTerminal(ipAddress, path);
+                if (path.size() <= 0) {
+                    // if the hyracks nc is not in the defined cluster
+                    path.add(Integer.MIN_VALUE);
+                    LOGGER.info(NCs[i] + "'s IP address is not in the cluster toplogy file!");
+                }
+                List<String> ncs = pathToNCs.get(path);
+                if (ncs == null) {
+                    ncs = new ArrayList<String>();
+                    pathToNCs.put(path, ncs);
+                }
+                ncs.add(NCs[i]);
+            }
+
+            final TreeMap<List<Integer>, IntWritable> availableIpsToSlots = new TreeMap<List<Integer>, IntWritable>(
+                    new Comparator<List<Integer>>() {
+
+                        @Override
+                        public int compare(List<Integer> l1, List<Integer> l2) {
+                            int commonLength = Math.min(l1.size(), l2.size());
+                            for (int i = 0; i < commonLength; i++) {
+                                Integer value1 = l1.get(i);
+                                Integer value2 = l2.get(i);
+                                int cmp = value1 > value2 ? 1 : (value1 < value2 ? -1 : 0);
+                                if (cmp != 0) {
+                                    return cmp;
+                                }
+                            }
+                            return l1.size() > l2.size() ? 1 : (l1.size() < l2.size() ? -1 : 0);
+                        }
+
+                    });
+            for (int i = 0; i < workloads.length; i++) {
+                if (workloads[i] < slotLimit) {
+                    List<Integer> path = new ArrayList<Integer>();
+                    String ipAddress = InetAddress.getByAddress(
+                            ncNameToNcInfos.get(NCs[i]).getNetworkAddress().getIpAddress()).getHostAddress();
+                    topology.lookupNetworkTerminal(ipAddress, path);
+                    if (path.size() <= 0) {
+                        // if the hyracks nc is not in the defined cluster
+                        path.add(Integer.MIN_VALUE);
+                    }
+                    IntWritable availableSlot = availableIpsToSlots.get(path);
+                    if (availableSlot == null) {
+                        availableSlot = new IntWritable(slotLimit - workloads[i]);
+                        availableIpsToSlots.put(path, availableSlot);
+                    } else {
+                        availableSlot.set(slotLimit - workloads[i] + availableSlot.get());
+                    }
+                }
+            }
+            return new INcCollection() {
+
+                @Override
+                public String findNearestAvailableSlot(InputSplit split) {
+                    try {
+                        String[] locs = split.getLocations();
+                        int minDistance = Integer.MAX_VALUE;
+                        List<Integer> currentCandidatePath = null;
+                        if (locs == null || locs.length > 0) {
+                            for (int j = 0; j < locs.length; j++) {
+                                /**
+                                 * get all the IP addresses from the name
+                                 */
+                                InetAddress[] allIps = InetAddress.getAllByName(locs[j]);
+                                boolean inTopology = false;
+                                for (InetAddress ip : allIps) {
+                                    List<Integer> splitPath = new ArrayList<Integer>();
+                                    boolean inCluster = topology.lookupNetworkTerminal(ip.getHostAddress(), splitPath);
+                                    if (!inCluster) {
+                                        continue;
+                                    }
+                                    inTopology = true;
+                                    /**
+                                     * if the node controller exists
+                                     */
+                                    List<Integer> candidatePath = availableIpsToSlots.floorKey(splitPath);
+                                    if (candidatePath == null) {
+                                        candidatePath = availableIpsToSlots.ceilingKey(splitPath);
+                                    }
+                                    if (candidatePath != null) {
+                                        if (availableIpsToSlots.get(candidatePath).get() > 0) {
+                                            int distance = distance(splitPath, candidatePath);
+                                            if (minDistance > distance) {
+                                                minDistance = distance;
+                                                currentCandidatePath = candidatePath;
+                                            }
+                                        }
+
+                                    }
+                                }
+
+                                if (!inTopology) {
+                                    LOGGER.info(locs[j] + "'s IP address is not in the cluster toplogy file!");
+                                    /**
+                                     * if the machine is not in the toplogy file
+                                     */
+                                    List<Integer> candidatePath = null;
+                                    for (Entry<List<Integer>, IntWritable> entry : availableIpsToSlots.entrySet()) {
+                                        if (entry.getValue().get() > 0) {
+                                            candidatePath = entry.getKey();
+                                            break;
+                                        }
+                                    }
+                                    /** the split path is empty */
+                                    if (candidatePath != null) {
+                                        if (availableIpsToSlots.get(candidatePath).get() > 0) {
+                                            currentCandidatePath = candidatePath;
+                                        }
+                                    }
+                                }
+                            }
+                        } else {
+                            for (Entry<List<Integer>, IntWritable> entry : availableIpsToSlots.entrySet()) {
+                                if (entry.getValue().get() > 0) {
+                                    currentCandidatePath = entry.getKey();
+                                    break;
+                                }
+                            }
+                        }
+
+                        if (currentCandidatePath != null && currentCandidatePath.size() > 0) {
+                            /**
+                             * Update the entry of the selected IP
+                             */
+                            IntWritable availableSlot = availableIpsToSlots.get(currentCandidatePath);
+                            availableSlot.set(availableSlot.get() - 1);
+                            if (availableSlot.get() == 0) {
+                                availableIpsToSlots.remove(currentCandidatePath);
+                            }
+                            /**
+                             * Update the entry of the selected NC
+                             */
+                            List<String> candidateNcs = pathToNCs.get(currentCandidatePath);
+                            for (String candidate : candidateNcs) {
+                                int ncIndex = ncNameToIndex.get(candidate);
+                                if (workloads[ncIndex] < slotLimit) {
+                                    return candidate;
+                                }
+                            }
+                        }
+                        /** not scheduled */
+                        return null;
+                    } catch (Exception e) {
+                        throw new IllegalStateException(e);
+                    }
+                }
+
+                @Override
+                public int numAvailableSlots() {
+                    return availableIpsToSlots.size();
+                }
+
+                private int distance(List<Integer> splitPath, List<Integer> candidatePath) {
+                    int commonLength = Math.min(splitPath.size(), candidatePath.size());
+                    int distance = 0;
+                    for (int i = 0; i < commonLength; i++) {
+                        distance = distance * 100 + Math.abs(splitPath.get(i) - candidatePath.get(i));
+                    }
+                    List<Integer> restElements = splitPath.size() > candidatePath.size() ? splitPath : candidatePath;
+                    for (int i = commonLength; i < restElements.size(); i++) {
+                        distance = distance * 100 + Math.abs(restElements.get(i));
+                    }
+                    return distance;
+                }
+            };
+        } catch (Exception e) {
+            throw new IllegalStateException(e);
+        }
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/Scheduler.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/Scheduler.java
new file mode 100644
index 0000000..3f7997b
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs/scheduler/Scheduler.java
@@ -0,0 +1,404 @@
+/*
+ * 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.net.UnknownHostException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Comparator;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.PriorityQueue;
+import java.util.Random;
+import java.util.logging.Logger;
+
+import org.apache.hadoop.io.IntWritable;
+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;
+import edu.uci.ics.hyracks.api.topology.ClusterTopology;
+import edu.uci.ics.hyracks.hdfs.api.INcCollection;
+import edu.uci.ics.hyracks.hdfs.api.INcCollectionBuilder;
+
+/**
+ * The scheduler conduct data-local scheduling for data reading on HDFS. This
+ * class works for Hadoop old API.
+ */
+@SuppressWarnings("deprecation")
+public class Scheduler {
+    private static final Logger LOGGER = Logger.getLogger(Scheduler.class.getName());
+
+    /** 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>();
+
+    /** a map from NC name to the NodeControllerInfo */
+    private Map<String, NodeControllerInfo> ncNameToNcInfos;
+
+    /**
+     * the nc collection builder
+     */
+    private INcCollectionBuilder ncCollectionBuilder;
+
+    /**
+     * The constructor of the scheduler.
+     * 
+     * @param ncNameToNcInfos
+     * @throws HyracksException
+     */
+    public Scheduler(String ipAddress, int port) throws HyracksException {
+        try {
+            IHyracksClientConnection hcc = new HyracksConnection(ipAddress, port);
+            this.ncNameToNcInfos = hcc.getNodeControllerInfos();
+            ClusterTopology topology = hcc.getClusterTopology();
+            this.ncCollectionBuilder = topology == null ? new IPProximityNcCollectionBuilder()
+                    : new RackAwareNcCollectionBuilder(topology);
+            loadIPAddressToNCMap(ncNameToNcInfos);
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+    }
+
+    /**
+     * The constructor of the scheduler.
+     * 
+     * @param ncNameToNcInfos
+     * @throws HyracksException
+     */
+    public Scheduler(String ipAddress, int port, INcCollectionBuilder ncCollectionBuilder) throws HyracksException {
+        try {
+            IHyracksClientConnection hcc = new HyracksConnection(ipAddress, port);
+            this.ncNameToNcInfos = hcc.getNodeControllerInfos();
+            this.ncCollectionBuilder = ncCollectionBuilder;
+            loadIPAddressToNCMap(ncNameToNcInfos);
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+    }
+
+    /**
+     * The constructor of the scheduler.
+     * 
+     * @param ncNameToNcInfos
+     *            the mapping from nc names to nc infos
+     * @throws HyracksException
+     */
+    public Scheduler(Map<String, NodeControllerInfo> ncNameToNcInfos) throws HyracksException {
+        this.ncNameToNcInfos = ncNameToNcInfos;
+        this.ncCollectionBuilder = new IPProximityNcCollectionBuilder();
+        loadIPAddressToNCMap(ncNameToNcInfos);
+    }
+
+    /**
+     * The constructor of the scheduler.
+     * 
+     * @param ncNameToNcInfos
+     *            the mapping from nc names to nc infos
+     * @param topology
+     *            the hyracks cluster toplogy
+     * @throws HyracksException
+     */
+    public Scheduler(Map<String, NodeControllerInfo> ncNameToNcInfos, ClusterTopology topology) throws HyracksException {
+        this(ncNameToNcInfos);
+        this.ncCollectionBuilder = topology == null ? new IPProximityNcCollectionBuilder()
+                : new RackAwareNcCollectionBuilder(topology);
+    }
+
+    /**
+     * The constructor of the scheduler.
+     * 
+     * @param ncNameToNcInfos
+     *            the mapping from nc names to nc infos
+     * @throws HyracksException
+     */
+    public Scheduler(Map<String, NodeControllerInfo> ncNameToNcInfos, INcCollectionBuilder ncCollectionBuilder)
+            throws HyracksException {
+        this.ncNameToNcInfos = ncNameToNcInfos;
+        this.ncCollectionBuilder = ncCollectionBuilder;
+        loadIPAddressToNCMap(ncNameToNcInfos);
+    }
+
+    /**
+     * Set location constraints for a file scan operator with a list of file
+     * splits. It guarantees the maximum slots a machine can is at most one more
+     * than the minimum slots a machine can get.
+     * 
+     * @throws HyracksDataException
+     */
+    public String[] getLocationConstraints(InputSplit[] splits) throws HyracksException {
+        if (splits == null) {
+            /** deal the case when the splits array is null */
+            return new String[] {};
+        }
+        int[] workloads = new int[NCs.length];
+        Arrays.fill(workloads, 0);
+        String[] locations = new String[splits.length];
+        Map<String, IntWritable> locationToNumOfSplits = new HashMap<String, IntWritable>();
+        /**
+         * upper bound number of slots that a machine can get
+         */
+        int upperBoundSlots = splits.length % workloads.length == 0 ? (splits.length / workloads.length)
+                : (splits.length / workloads.length + 1);
+        /**
+         * lower bound number of slots that a machine can get
+         */
+        int lowerBoundSlots = splits.length % workloads.length == 0 ? upperBoundSlots : upperBoundSlots - 1;
+
+        try {
+            Random random = new Random(System.currentTimeMillis());
+            boolean scheduled[] = new boolean[splits.length];
+            Arrays.fill(scheduled, false);
+            /**
+             * scan the splits and build the popularity map
+             * give the machines with less local splits more scheduling priority
+             */
+            buildPopularityMap(splits, locationToNumOfSplits);
+            /**
+             * push data-local lower-bounds slots to each machine
+             */
+            scheduleLocalSlots(splits, workloads, locations, lowerBoundSlots, random, scheduled, locationToNumOfSplits);
+            /**
+             * push data-local upper-bounds slots to each machine
+             */
+            scheduleLocalSlots(splits, workloads, locations, upperBoundSlots, random, scheduled, locationToNumOfSplits);
+
+            int dataLocalCount = 0;
+            for (int i = 0; i < scheduled.length; i++) {
+                if (scheduled[i] == true) {
+                    dataLocalCount++;
+                }
+            }
+            LOGGER.info("Data local rate: "
+                    + (scheduled.length == 0 ? 0.0 : ((float) dataLocalCount / (float) (scheduled.length))));
+            /**
+             * push non-data-local lower-bounds slots to each machine
+             */
+            scheduleNonLocalSlots(splits, workloads, locations, lowerBoundSlots, scheduled);
+            /**
+             * push non-data-local upper-bounds slots to each machine
+             */
+            scheduleNonLocalSlots(splits, workloads, locations, upperBoundSlots, scheduled);
+            return locations;
+        } catch (IOException e) {
+            throw new HyracksException(e);
+        }
+    }
+
+    /**
+     * Schedule non-local slots to each machine
+     * 
+     * @param splits
+     *            The HDFS file splits.
+     * @param workloads
+     *            The current capacity of each machine.
+     * @param locations
+     *            The result schedule.
+     * @param slotLimit
+     *            The maximum slots of each machine.
+     * @param scheduled
+     *            Indicate which slot is scheduled.
+     */
+    private void scheduleNonLocalSlots(InputSplit[] splits, int[] workloads, String[] locations, int slotLimit,
+            boolean[] scheduled) throws IOException, UnknownHostException {
+        /**
+         * build the map from available ips to the number of available slots
+         */
+        INcCollection ncCollection = this.ncCollectionBuilder.build(ncNameToNcInfos, ipToNcMapping, ncNameToIndex, NCs,
+                workloads, slotLimit);
+        if (ncCollection.numAvailableSlots() == 0) {
+            return;
+        }
+        /**
+         * 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]) {
+                InputSplit split = splits[i];
+                String selectedNcName = ncCollection.findNearestAvailableSlot(split);
+                if (selectedNcName != null) {
+                    int ncIndex = ncNameToIndex.get(selectedNcName);
+                    workloads[ncIndex]++;
+                    scheduled[i] = true;
+                    locations[i] = selectedNcName;
+                }
+            }
+        }
+    }
+
+    /**
+     * Schedule data-local slots to each machine.
+     * 
+     * @param splits
+     *            The HDFS file splits.
+     * @param workloads
+     *            The current capacity of each machine.
+     * @param locations
+     *            The result schedule.
+     * @param slots
+     *            The maximum slots of each machine.
+     * @param random
+     *            The random generator.
+     * @param scheduled
+     *            Indicate which slot is scheduled.
+     * @throws IOException
+     * @throws UnknownHostException
+     */
+    private void scheduleLocalSlots(InputSplit[] splits, int[] workloads, String[] locations, int slots, Random random,
+            boolean[] scheduled, final Map<String, IntWritable> locationToNumSplits) throws IOException,
+            UnknownHostException {
+        /** scheduling candidates will be ordered inversely according to their popularity */
+        PriorityQueue<String> scheduleCadndiates = new PriorityQueue<String>(3, new Comparator<String>() {
+
+            @Override
+            public int compare(String s1, String s2) {
+                return locationToNumSplits.get(s1).compareTo(locationToNumSplits.get(s2));
+            }
+
+        });
+        for (int i = 0; i < splits.length; i++) {
+            if (scheduled[i]) {
+                continue;
+            }
+            /**
+             * get the location of all the splits
+             */
+            String[] locs = splits[i].getLocations();
+            if (locs.length > 0) {
+                scheduleCadndiates.clear();
+                for (int j = 0; j < locs.length; j++) {
+                    scheduleCadndiates.add(locs[j]);
+                }
+
+                for (String candidate : scheduleCadndiates) {
+                    /**
+                     * get all the IP addresses from the name
+                     */
+                    InetAddress[] allIps = InetAddress.getAllByName(candidate);
+                    /**
+                     * 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 (workloads[pos] < slots) {
+                                locations[i] = nc;
+                                workloads[pos]++;
+                                scheduled[i] = true;
+                                break;
+                            }
+                        }
+                    }
+                    /**
+                     * break the loop for data-locations if the schedule has
+                     * already been found
+                     */
+                    if (scheduled[i] == true) {
+                        break;
+                    }
+                }
+            }
+        }
+    }
+
+    /**
+     * Scan the splits once and build a popularity map
+     * 
+     * @param splits
+     *            the split array
+     * @param locationToNumOfSplits
+     *            the map to be built
+     * @throws IOException
+     */
+    private void buildPopularityMap(InputSplit[] splits, Map<String, IntWritable> locationToNumOfSplits)
+            throws IOException {
+        for (InputSplit split : splits) {
+            String[] locations = split.getLocations();
+            for (String loc : locations) {
+                IntWritable locCount = locationToNumOfSplits.get(loc);
+                if (locCount == null) {
+                    locCount = new IntWritable(0);
+                    locationToNumOfSplits.put(loc, locCount);
+                }
+                locCount.set(locCount.get() + 1);
+            }
+        }
+    }
+
+    /**
+     * 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()];
+            ipToNcMapping.clear();
+            ncNameToIndex.clear();
+            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/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/ConfFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/ConfFactory.java
new file mode 100644
index 0000000..d843d27
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/FileSplitsFactory.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/FileSplitsFactory.java
new file mode 100644
index 0000000..14dc70c
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSReadOperatorDescriptor.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSReadOperatorDescriptor.java
new file mode 100644
index 0000000..9e9abdf
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSReadOperatorDescriptor.java
@@ -0,0 +1,160 @@
+/*
+ * 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.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.ContextFactory;
+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 List<FileSplit> inputSplits = splitsFactory.getSplits();
+
+        return new AbstractUnaryOutputSourceOperatorNodePushable() {
+            private String nodeName = ctx.getJobletContext().getApplicationContext().getNodeId();
+            private ContextFactory ctxFactory = new ContextFactory();
+
+            @SuppressWarnings("unchecked")
+            @Override
+            public void initialize() throws HyracksDataException {
+                ClassLoader ctxCL = Thread.currentThread().getContextClassLoader();
+                try {
+                    Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
+                    Job job = confFactory.getConf();
+                    IKeyValueParser parser = tupleParserFactory.createKeyValueParser(ctx);
+                    writer.open();
+                    InputFormat inputFormat = ReflectionUtils.newInstance(job.getInputFormatClass(),
+                            job.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 = ctxFactory.createContext(job.getConfiguration(), i);
+                            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.close(writer);
+                    writer.close();
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                } finally {
+                    Thread.currentThread().setContextClassLoader(ctxCL);
+                }
+            }
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSWriteOperatorDescriptor.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSWriteOperatorDescriptor.java
new file mode 100644
index 0000000..c1c227c
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/dataflow/HDFSWriteOperatorDescriptor.java
@@ -0,0 +1,130 @@
+/*
+ * 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.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 {
+
+        return new AbstractUnaryInputSinkOperatorNodePushable() {
+
+            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;
+            private ClassLoader ctxCL;
+
+            @Override
+            public void open() throws HyracksDataException {
+                ctxCL = Thread.currentThread().getContextClassLoader();
+                Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
+                Job conf = confFactory.getConf();
+                String outputPath = FileOutputFormat.getOutputPath(conf).toString();
+                String fileName = outputPath + File.separator + "part-" + partition;
+
+                tupleWriter = tupleWriterFactory.getTupleWriter(ctx);
+                try {
+                    FileSystem dfs = FileSystem.get(conf.getConfiguration());
+                    dos = dfs.create(new Path(fileName), true);
+                    tupleWriter.open(dos);
+                } 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 {
+                    tupleWriter.close(dos);
+                    dos.close();
+                } catch (Exception e) {
+                    throw new HyracksDataException(e);
+                } finally {
+                    Thread.currentThread().setContextClassLoader(ctxCL);
+                }
+            }
+
+        };
+    }
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/Scheduler.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/Scheduler.java
new file mode 100644
index 0000000..cde187d
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/Scheduler.java
@@ -0,0 +1,84 @@
+/*
+ * 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.util.List;
+import java.util.Map;
+
+import org.apache.hadoop.mapreduce.InputSplit;
+
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+import edu.uci.ics.hyracks.api.exceptions.HyracksDataException;
+import edu.uci.ics.hyracks.api.exceptions.HyracksException;
+import edu.uci.ics.hyracks.hdfs.api.INcCollectionBuilder;
+
+/**
+ * The scheduler conduct data-local scheduling for data reading on HDFS.
+ * This class works for Hadoop new API.
+ */
+@SuppressWarnings("deprecation")
+public class Scheduler {
+
+    private edu.uci.ics.hyracks.hdfs.scheduler.Scheduler scheduler;
+
+    /**
+     * The constructor of the scheduler
+     * 
+     * @param ncNameToNcInfos
+     * @throws HyracksException
+     */
+    public Scheduler(String ipAddress, int port) throws HyracksException {
+        scheduler = new edu.uci.ics.hyracks.hdfs.scheduler.Scheduler(ipAddress, port);
+    }
+
+    /**
+     * The constructor of the scheduler.
+     * 
+     * @param ncNameToNcInfos
+     *            the mapping from nc names to nc infos
+     * @throws HyracksException
+     */
+    public Scheduler(Map<String, NodeControllerInfo> ncNameToNcInfos) throws HyracksException {
+        scheduler = new edu.uci.ics.hyracks.hdfs.scheduler.Scheduler(ncNameToNcInfos);
+    }
+    
+    /**
+     * The constructor of the scheduler.
+     * 
+     * @param ncNameToNcInfos
+     *            the mapping from nc names to nc infos
+     * @throws HyracksException
+     */
+    public Scheduler(Map<String, NodeControllerInfo> ncNameToNcInfos, INcCollectionBuilder builder) throws HyracksException {
+        scheduler = new edu.uci.ics.hyracks.hdfs.scheduler.Scheduler(ncNameToNcInfos, builder);
+    }
+
+    /**
+     * Set location constraints for a file scan operator with a list of file splits
+     * 
+     * @throws HyracksDataException
+     */
+    public String[] getLocationConstraints(List<InputSplit> splits) throws HyracksException {
+        try {
+            org.apache.hadoop.mapred.InputSplit[] inputSplits = new org.apache.hadoop.mapred.InputSplit[splits.size()];
+            for (int i = 0; i < inputSplits.length; i++)
+                inputSplits[i] = new WrappedFileSplit(splits.get(i).getLocations(), splits.get(i).getLength());
+            return scheduler.getLocationConstraints(inputSplits);
+        } catch (Exception e) {
+            throw new HyracksException(e);
+        }
+    }
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/WrappedFileSplit.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/WrappedFileSplit.java
new file mode 100644
index 0000000..1deb469
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/main/java/edu/uci/ics/hyracks/hdfs2/scheduler/WrappedFileSplit.java
@@ -0,0 +1,51 @@
+package edu.uci.ics.hyracks.hdfs2.scheduler;
+
+import java.io.DataInput;
+import java.io.DataOutput;
+import java.io.IOException;
+
+import org.apache.hadoop.mapred.InputSplit;
+
+/**
+ * The wrapped implementation of InputSplit, for the new API scheduler
+ * to reuse the old API scheduler
+ */
+@SuppressWarnings("deprecation")
+public class WrappedFileSplit implements InputSplit {
+
+    private String[] locations;
+    private long length;
+
+    public WrappedFileSplit(String[] locations, long length) {
+        this.locations = locations;
+        this.length = length;
+    }
+
+    @Override
+    public void readFields(DataInput input) throws IOException {
+        int len = input.readInt();
+        locations = new String[len];
+        for (int i = 0; i < len; i++)
+            locations[i] = input.readUTF();
+        length = input.readLong();
+    }
+
+    @Override
+    public void write(DataOutput output) throws IOException {
+        output.write(locations.length);
+        for (int i = 0; i < locations.length; i++)
+            output.writeUTF(locations[i]);
+        output.writeLong(length);
+    }
+
+    @Override
+    public long getLength() throws IOException {
+        return length;
+    }
+
+    @Override
+    public String[] getLocations() throws IOException {
+        return locations;
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/dataflow/DataflowTest.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/dataflow/DataflowTest.java
new file mode 100644
index 0000000..2686077
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/scheduler/SchedulerTest.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/scheduler/SchedulerTest.java
new file mode 100644
index 0000000..1f394a9
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/scheduler/SchedulerTest.java
@@ -0,0 +1,341 @@
+/*
+ * 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.FileReader;
+import java.io.IOException;
+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 org.xml.sax.InputSource;
+import org.xml.sax.SAXException;
+
+import edu.uci.ics.hyracks.api.client.NodeControllerInfo;
+import edu.uci.ics.hyracks.api.client.NodeStatus;
+import edu.uci.ics.hyracks.api.comm.NetworkAddress;
+import edu.uci.ics.hyracks.api.topology.ClusterTopology;
+import edu.uci.ics.hyracks.api.topology.TopologyDefinitionParser;
+
+@SuppressWarnings("deprecation")
+public class SchedulerTest extends TestCase {
+    private static String TOPOLOGY_PATH = "src/test/resources/topology.xml";
+
+    private ClusterTopology parseTopology() throws IOException, SAXException {
+        FileReader fr = new FileReader(TOPOLOGY_PATH);
+        InputSource in = new InputSource(fr);
+        try {
+            return TopologyDefinitionParser.parse(in);
+        } finally {
+            fr.close();
+        }
+    }
+
+    /**
+     * 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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.6")
+                .getAddress(), 5098)));
+
+        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" });
+
+        String[] expectedResults = new String[] { "nc1", "nc4", "nc6", "nc2", "nc3", "nc5" };
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+        ClusterTopology topology = parseTopology();
+        scheduler = new Scheduler(ncNameToNcInfos, topology);
+        locationConstraints = scheduler.getLocationConstraints(fileSplits);
+        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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc7", new NodeControllerInfo("nc7", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.7").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc12", new NodeControllerInfo("nc12", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.12").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+
+        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-12"), 0, 0, new String[] { "10.0.0.14", "10.0.0.11", "10.0.0.13" });
+        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-9"), 0, 0, new String[] { "10.0.0.4", "10.0.0.5", "10.0.0.6" });
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        String[] expectedResults = new String[] { "nc1", "nc4", "nc4", "nc1", "nc3", "nc2", "nc2", "nc3", "nc12",
+                "nc7", "nc7", "nc12" };
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+        expectedResults = new String[] { "nc1", "nc4", "nc4", "nc1", "nc3", "nc2", "nc2", "nc3", "nc7", "nc12", "nc7",
+                "nc12" };
+        ClusterTopology topology = parseTopology();
+        scheduler = new Scheduler(ncNameToNcInfos, topology);
+        locationConstraints = scheduler.getLocationConstraints(fileSplits);
+        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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.6")
+                .getAddress(), 5098)));
+
+        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" });
+
+        String[] expectedResults = new String[] { "nc1", "nc4", "nc4", "nc1", "nc3", "nc2", "nc2", "nc3", "nc5", "nc6",
+                "nc5", "nc6" };
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+        ClusterTopology topology = parseTopology();
+        scheduler = new Scheduler(ncNameToNcInfos, topology);
+        locationConstraints = scheduler.getLocationConstraints(fileSplits);
+        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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.6")
+                .getAddress(), 5098)));
+
+        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" });
+
+        String[] expectedResults = new String[] { "nc1", "nc4", "nc4", "nc1", "nc3", "nc2", "nc2", "nc3", "nc5", "nc1",
+                "nc5", "nc2", "nc4" };
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+        ClusterTopology topology = parseTopology();
+        scheduler = new Scheduler(ncNameToNcInfos, topology);
+        locationConstraints = scheduler.getLocationConstraints(fileSplits);
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+    }
+
+    /**
+     * Test boundary cases where splits array is empty or null
+     * 
+     * @throws Exception
+     */
+    public void testSchedulercBoundary() 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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.6")
+                .getAddress(), 5098)));
+
+        /** test empty file splits */
+        InputSplit[] fileSplits = new InputSplit[0];
+        String[] expectedResults = new String[] {};
+
+        Scheduler scheduler = new Scheduler(ncNameToNcInfos);
+        String[] locationConstraints = scheduler.getLocationConstraints(fileSplits);
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+        ClusterTopology topology = parseTopology();
+        scheduler = new Scheduler(ncNameToNcInfos, topology);
+        locationConstraints = scheduler.getLocationConstraints(fileSplits);
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+        fileSplits = null;
+        expectedResults = new String[] {};
+
+        scheduler = new Scheduler(ncNameToNcInfos);
+        locationConstraints = scheduler.getLocationConstraints(fileSplits);
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+        scheduler = new Scheduler(ncNameToNcInfos, topology);
+        locationConstraints = scheduler.getLocationConstraints(fileSplits);
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/utils/HyracksUtils.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/utils/HyracksUtils.java
new file mode 100644
index 0000000..8c12518
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/utils/HyracksUtils.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.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.datasetIPAddress = "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.datasetIPAddress = "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/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/utils/TestUtils.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs/utils/TestUtils.java
new file mode 100644
index 0000000..3826688
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs2/dataflow/DataflowTest.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs2/dataflow/DataflowTest.java
new file mode 100644
index 0000000..9f77979
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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.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.MiniDFSClusterFactory;
+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 MiniDFSClusterFactory dfsClusterFactory = new MiniDFSClusterFactory();
+
+    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 = dfsClusterFactory.getMiniDFSCluster(conf.getConfiguration(), numberOfNC);
+        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(conf);
+
+        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/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs2/scheduler/SchedulerTest.java b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs2/scheduler/SchedulerTest.java
new file mode 100644
index 0000000..442aeae0
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/java/edu/uci/ics/hyracks/hdfs2/scheduler/SchedulerTest.java
@@ -0,0 +1,238 @@
+/*
+ * 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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.6")
+                .getAddress(), 5098)));
+
+        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", "nc4", "nc6", "nc2", "nc3", "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 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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.6")
+                .getAddress(), 5098)));
+
+        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", "nc4", "nc6", "nc1", "nc4", "nc2", "nc2", "nc3", "nc6", "nc5",
+                "nc3", "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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.6")
+                .getAddress(), 5098)));
+
+        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", "nc4", "nc4", "nc1", "nc3", "nc2", "nc2", "nc3", "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), new NetworkAddress(InetAddress.getByName("10.0.0.1")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc2", new NodeControllerInfo("nc2", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.2").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.2")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc3", new NodeControllerInfo("nc3", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.3").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.3")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc4", new NodeControllerInfo("nc4", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.4").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.4")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc5", new NodeControllerInfo("nc5", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.5").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.5")
+                .getAddress(), 5098)));
+        ncNameToNcInfos.put("nc6", new NodeControllerInfo("nc6", NodeStatus.ALIVE, new NetworkAddress(InetAddress
+                .getByName("10.0.0.6").getAddress(), 5099), new NetworkAddress(InetAddress.getByName("10.0.0.6")
+                .getAddress(), 5098)));
+
+        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", "nc4", "nc4", "nc1", "nc3", "nc2", "nc2", "nc3", "nc5", "nc1",
+                "nc5", "nc2", "nc4" };
+
+        for (int i = 0; i < locationConstraints.length; i++) {
+            Assert.assertEquals(locationConstraints[i], expectedResults[i]);
+        }
+    }
+
+}
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/data/customer.tbl b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/data/customer.tbl
new file mode 100644
index 0000000..5d39c80
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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|
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diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/expected/part-0 b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/expected/part-0
new file mode 100755
index 0000000..ce3b00c
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/expected/part-0
@@ -0,0 +1,150 @@
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diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/hadoop/conf/core-site.xml b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/hadoop/conf/core-site.xml
new file mode 100644
index 0000000..47dfac5
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/test/resources/hadoop/conf/hdfs-site.xml b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/hadoop/conf/hdfs-site.xml
new file mode 100644
index 0000000..8d29b1d
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/test/resources/hadoop/conf/log4j.properties b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/hadoop/conf/log4j.properties
new file mode 100755
index 0000000..d5e6004
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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/hyracks-hdfs-core/src/test/resources/hadoop/conf/mapred-site.xml b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/hadoop/conf/mapred-site.xml
new file mode 100644
index 0000000..39b6505
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/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>
diff --git a/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/topology.xml b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/topology.xml
new file mode 100644
index 0000000..3a0ac7e
--- /dev/null
+++ b/hyracks/hyracks-hdfs/hyracks-hdfs-core/src/test/resources/topology.xml
@@ -0,0 +1,32 @@
+<cluster-topology>
+	<network-switch name="all">
+		<network-switch name="rack1">
+			<terminal name="10.0.0.1" />
+			<terminal name="10.0.0.5" />
+			<terminal name="10.0.0.9" />
+			<terminal name="10.0.0.13" />
+			<terminal name="10.0.0.17" />
+		</network-switch>
+		<network-switch name="rack2">
+			<terminal name="10.0.0.2" />
+			<terminal name="10.0.0.6" />
+			<terminal name="10.0.0.10" />
+			<terminal name="10.0.0.14" />
+			<terminal name="10.0.0.18" />
+		</network-switch>
+		<network-switch name="rack3">
+			<terminal name="10.0.0.3" />
+			<terminal name="10.0.0.7" />
+			<terminal name="10.0.0.11" />
+			<terminal name="10.0.0.15" />
+			<terminal name="10.0.0.19" />
+		</network-switch>
+		<network-switch name="rack4">
+			<terminal name="10.0.0.4" />
+			<terminal name="10.0.0.8" />
+			<terminal name="10.0.0.12" />
+			<terminal name="10.0.0.16" />
+			<terminal name="10.0.0.20" />
+		</network-switch>
+	</network-switch>
+</cluster-topology>
\ No newline at end of file
diff --git a/hyracks/hyracks-hdfs/pom.xml b/hyracks/hyracks-hdfs/pom.xml
new file mode 100644
index 0000000..5ed76e9
--- /dev/null
+++ b/hyracks/hyracks-hdfs/pom.xml
@@ -0,0 +1,19 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+  <artifactId>hyracks-hdfs</artifactId>
+  <packaging>pom</packaging>
+  <name>hyracks-hdfs</name>
+
+  <parent>
+    <groupId>edu.uci.ics.hyracks</groupId>
+    <artifactId>hyracks</artifactId>
+    <version>0.2.3-SNAPSHOT</version>
+  </parent>
+
+  <modules>
+    <module>hyracks-hdfs-0.20.2</module>
+    <module>hyracks-hdfs-0.23.1</module>
+    <module>hyracks-hdfs-core</module>
+  </modules>
+</project>