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Primary LanguageScalaApache License 2.0Apache-2.0

Open in Visual Studio Code Hadoop MapReduce WordCount Demo Example code for CS6240 Fall 2018

Code author

Joe Sackett

Installation

These components are installed:

  • JDK 1.8
  • Scala 2.11.12
  • Hadoop 2.9.1
  • Spark 2.3.1 (without bundled Hadoop)
  • Maven
  • AWS CLI (for EMR execution)

Environment

  1. Example ~/.bash_aliases: export JAVA_HOME=/usr/lib/jvm/java-8-oracle export HADOOP_HOME=/home/joe/tools/hadoop/hadoop-2.9.1 export SCALA_HOME=/home/joe/tools/scala/scala-2.11.12 export SPARK_HOME=/home/joe/tools/spark/spark-2.3.1-bin-without-hadoop export YARN_CONF_DIR=$HADOOP_HOME/etc/hadoop export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$SCALA_HOME/bin:$SPARK_HOME/bin export SPARK_DIST_CLASSPATH=$(hadoop classpath)

  2. Explicitly set JAVA_HOME in $HADOOP_HOME/etc/hadoop/hadoop-env.sh: export JAVA_HOME=/usr/lib/jvm/java-8-oracle

Execution

All of the build & execution commands are organized in the Makefile.

  1. Unzip project file.
  2. Open command prompt.
  3. Navigate to directory where project files unzipped.
  4. Edit the Makefile to customize the environment at the top. Sufficient for standalone: hadoop.root, jar.name, local.input Other defaults acceptable for running standalone.
  5. Standalone Hadoop: make switch-standalone -- set standalone Hadoop environment (execute once) make local
  6. Pseudo-Distributed Hadoop: (https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html#Pseudo-Distributed_Operation) make switch-pseudo -- set pseudo-clustered Hadoop environment (execute once) make pseudo -- first execution make pseudoq -- later executions since namenode and datanode already running
  7. AWS EMR Hadoop: (you must configure the emr.* config parameters at top of Makefile) make upload-input-aws -- only before first execution make aws -- check for successful execution with web interface (aws.amazon.com) download-output-aws -- after successful execution & termination