cross merge fullstack_release_candidate into trunk
git-svn-id: https://hyracks.googlecode.com/svn/trunk/fullstack@3208 123451ca-8445-de46-9d55-352943316053
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|
+13|Customer#000000013|nsXQu0oVjD7PM659uC3SRSp|3|13-761-547-5974|3857.34|BUILDING|ounts sleep carefully after the close frays. carefully bold notornis use ironic requests. blithely|
+14|Customer#000000014|KXkletMlL2JQEA |1|11-845-129-3851|5266.30|FURNITURE|, ironic packages across the unus|
+15|Customer#000000015|YtWggXoOLdwdo7b0y,BZaGUQMLJMX1Y,EC,6Dn|23|33-687-542-7601|2788.52|HOUSEHOLD| platelets. regular deposits detect asymptotes. blithely unusual packages nag slyly at the fluf|
+16|Customer#000000016|cYiaeMLZSMAOQ2 d0W,|10|20-781-609-3107|4681.03|FURNITURE|kly silent courts. thinly regular theodolites sleep fluffily after |
+17|Customer#000000017|izrh 6jdqtp2eqdtbkswDD8SG4SzXruMfIXyR7|2|12-970-682-3487|6.34|AUTOMOBILE|packages wake! blithely even pint|
+18|Customer#000000018|3txGO AiuFux3zT0Z9NYaFRnZt|6|16-155-215-1315|5494.43|BUILDING|s sleep. carefully even instructions nag furiously alongside of t|
+19|Customer#000000019|uc,3bHIx84H,wdrmLOjVsiqXCq2tr|18|28-396-526-5053|8914.71|HOUSEHOLD| nag. furiously careful packages are slyly at the accounts. furiously regular in|
+20|Customer#000000020|JrPk8Pqplj4Ne|22|32-957-234-8742|7603.40|FURNITURE|g alongside of the special excuses-- fluffily enticing packages wake |
+21|Customer#000000021|XYmVpr9yAHDEn|8|18-902-614-8344|1428.25|MACHINERY| quickly final accounts integrate blithely furiously u|
+22|Customer#000000022|QI6p41,FNs5k7RZoCCVPUTkUdYpB|3|13-806-545-9701|591.98|MACHINERY|s nod furiously above the furiously ironic ideas. |
+23|Customer#000000023|OdY W13N7Be3OC5MpgfmcYss0Wn6TKT|3|13-312-472-8245|3332.02|HOUSEHOLD|deposits. special deposits cajole slyly. fluffily special deposits about the furiously |
+24|Customer#000000024|HXAFgIAyjxtdqwimt13Y3OZO 4xeLe7U8PqG|13|23-127-851-8031|9255.67|MACHINERY|into beans. fluffily final ideas haggle fluffily|
+25|Customer#000000025|Hp8GyFQgGHFYSilH5tBfe|12|22-603-468-3533|7133.70|FURNITURE|y. accounts sleep ruthlessly according to the regular theodolites. unusual instructions sleep. ironic, final|
+26|Customer#000000026|8ljrc5ZeMl7UciP|22|32-363-455-4837|5182.05|AUTOMOBILE|c requests use furiously ironic requests. slyly ironic dependencies us|
+27|Customer#000000027|IS8GIyxpBrLpMT0u7|3|13-137-193-2709|5679.84|BUILDING| about the carefully ironic pinto beans. accoun|
+28|Customer#000000028|iVyg0daQ,Tha8x2WPWA9m2529m|8|18-774-241-1462|1007.18|FURNITURE| along the regular deposits. furiously final pac|
+29|Customer#000000029|sJ5adtfyAkCK63df2,vF25zyQMVYE34uh|0|10-773-203-7342|7618.27|FURNITURE|its after the carefully final platelets x-ray against |
+30|Customer#000000030|nJDsELGAavU63Jl0c5NKsKfL8rIJQQkQnYL2QJY|1|11-764-165-5076|9321.01|BUILDING|lithely final requests. furiously unusual account|
+31|Customer#000000031|LUACbO0viaAv6eXOAebryDB xjVst|23|33-197-837-7094|5236.89|HOUSEHOLD|s use among the blithely pending depo|
+32|Customer#000000032|jD2xZzi UmId,DCtNBLXKj9q0Tlp2iQ6ZcO3J|15|25-430-914-2194|3471.53|BUILDING|cial ideas. final, furious requests across the e|
+33|Customer#000000033|qFSlMuLucBmx9xnn5ib2csWUweg D|17|27-375-391-1280|-78.56|AUTOMOBILE|s. slyly regular accounts are furiously. carefully pending requests|
+34|Customer#000000034|Q6G9wZ6dnczmtOx509xgE,M2KV|15|25-344-968-5422|8589.70|HOUSEHOLD|nder against the even, pending accounts. even|
+35|Customer#000000035|TEjWGE4nBzJL2|17|27-566-888-7431|1228.24|HOUSEHOLD|requests. special, express requests nag slyly furiousl|
+36|Customer#000000036|3TvCzjuPzpJ0,DdJ8kW5U|21|31-704-669-5769|4987.27|BUILDING|haggle. enticing, quiet platelets grow quickly bold sheaves. carefully regular acc|
+37|Customer#000000037|7EV4Pwh,3SboctTWt|8|18-385-235-7162|-917.75|FURNITURE|ilent packages are carefully among the deposits. furiousl|
+38|Customer#000000038|a5Ee5e9568R8RLP 2ap7|12|22-306-880-7212|6345.11|HOUSEHOLD|lar excuses. closely even asymptotes cajole blithely excuses. carefully silent pinto beans sleep carefully fin|
+39|Customer#000000039|nnbRg,Pvy33dfkorYE FdeZ60|2|12-387-467-6509|6264.31|AUTOMOBILE|tions. slyly silent excuses slee|
+40|Customer#000000040|gOnGWAyhSV1ofv|3|13-652-915-8939|1335.30|BUILDING|rges impress after the slyly ironic courts. foxes are. blithely |
+41|Customer#000000041|IM9mzmyoxeBmvNw8lA7G3Ydska2nkZF|10|20-917-711-4011|270.95|HOUSEHOLD|ly regular accounts hang bold, silent packages. unusual foxes haggle slyly above the special, final depo|
+42|Customer#000000042|ziSrvyyBke|5|15-416-330-4175|8727.01|BUILDING|ssly according to the pinto beans: carefully special requests across the even, pending accounts wake special|
+43|Customer#000000043|ouSbjHk8lh5fKX3zGso3ZSIj9Aa3PoaFd|19|29-316-665-2897|9904.28|MACHINERY|ial requests: carefully pending foxes detect quickly. carefully final courts cajole quickly. carefully|
+44|Customer#000000044|Oi,dOSPwDu4jo4x,,P85E0dmhZGvNtBwi|16|26-190-260-5375|7315.94|AUTOMOBILE|r requests around the unusual, bold a|
+45|Customer#000000045|4v3OcpFgoOmMG,CbnF,4mdC|9|19-715-298-9917|9983.38|AUTOMOBILE|nto beans haggle slyly alongside of t|
+46|Customer#000000046|eaTXWWm10L9|6|16-357-681-2007|5744.59|AUTOMOBILE|ctions. accounts sleep furiously even requests. regular, regular accounts cajole blithely around the final pa|
+47|Customer#000000047|b0UgocSqEW5 gdVbhNT|2|12-427-271-9466|274.58|BUILDING|ions. express, ironic instructions sleep furiously ironic ideas. furi|
+48|Customer#000000048|0UU iPhBupFvemNB|0|10-508-348-5882|3792.50|BUILDING|re fluffily pending foxes. pending, bold platelets sleep slyly. even platelets cajo|
+49|Customer#000000049|cNgAeX7Fqrdf7HQN9EwjUa4nxT,68L FKAxzl|10|20-908-631-4424|4573.94|FURNITURE|nusual foxes! fluffily pending packages maintain to the regular |
+50|Customer#000000050|9SzDYlkzxByyJ1QeTI o|6|16-658-112-3221|4266.13|MACHINERY|ts. furiously ironic accounts cajole furiously slyly ironic dinos.|
+51|Customer#000000051|uR,wEaiTvo4|12|22-344-885-4251|855.87|FURNITURE|eposits. furiously regular requests integrate carefully packages. furious|
+52|Customer#000000052|7 QOqGqqSy9jfV51BC71jcHJSD0|11|21-186-284-5998|5630.28|HOUSEHOLD|ic platelets use evenly even accounts. stealthy theodolites cajole furiou|
+53|Customer#000000053|HnaxHzTfFTZs8MuCpJyTbZ47Cm4wFOOgib|15|25-168-852-5363|4113.64|HOUSEHOLD|ar accounts are. even foxes are blithely. fluffily pending deposits boost|
+54|Customer#000000054|,k4vf 5vECGWFy,hosTE,|4|14-776-370-4745|868.90|AUTOMOBILE|sual, silent accounts. furiously express accounts cajole special deposits. final, final accounts use furi|
+55|Customer#000000055|zIRBR4KNEl HzaiV3a i9n6elrxzDEh8r8pDom|10|20-180-440-8525|4572.11|MACHINERY|ully unusual packages wake bravely bold packages. unusual requests boost deposits! blithely ironic packages ab|
+56|Customer#000000056|BJYZYJQk4yD5B|10|20-895-685-6920|6530.86|FURNITURE|. notornis wake carefully. carefully fluffy requests are furiously even accounts. slyly expre|
+57|Customer#000000057|97XYbsuOPRXPWU|21|31-835-306-1650|4151.93|AUTOMOBILE|ove the carefully special packages. even, unusual deposits sleep slyly pend|
+58|Customer#000000058|g9ap7Dk1Sv9fcXEWjpMYpBZIRUohi T|13|23-244-493-2508|6478.46|HOUSEHOLD|ideas. ironic ideas affix furiously express, final instructions. regular excuses use quickly e|
+59|Customer#000000059|zLOCP0wh92OtBihgspOGl4|1|11-355-584-3112|3458.60|MACHINERY|ously final packages haggle blithely after the express deposits. furiou|
+60|Customer#000000060|FyodhjwMChsZmUz7Jz0H|12|22-480-575-5866|2741.87|MACHINERY|latelets. blithely unusual courts boost furiously about the packages. blithely final instruct|
+61|Customer#000000061|9kndve4EAJxhg3veF BfXr7AqOsT39o gtqjaYE|17|27-626-559-8599|1536.24|FURNITURE|egular packages shall have to impress along the |
+62|Customer#000000062|upJK2Dnw13,|7|17-361-978-7059|595.61|MACHINERY|kly special dolphins. pinto beans are slyly. quickly regular accounts are furiously a|
+63|Customer#000000063|IXRSpVWWZraKII|21|31-952-552-9584|9331.13|AUTOMOBILE|ithely even accounts detect slyly above the fluffily ir|
+64|Customer#000000064|MbCeGY20kaKK3oalJD,OT|3|13-558-731-7204|-646.64|BUILDING|structions after the quietly ironic theodolites cajole be|
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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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+99|Customer#000000099|szsrOiPtCHVS97Lt|15|25-515-237-9232|4088.65|HOUSEHOLD|cajole slyly about the regular theodolites! furiously bold requests nag along the pending, regular packages. somas|
+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|
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>