71 lines
2.6 KiB
Plaintext
71 lines
2.6 KiB
Plaintext
To compile Hadoop Mapreduce next following, do the following:
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Step 1) Install dependencies for yarn
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See http://svn.apache.org/repos/asf/hadoop/common/trunk/hadoop-mapreduce-porject/hadoop-yarn/README
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Make sure protbuf library is in your library path or set: export LD_LIBRARY_PATH=/usr/local/lib
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Step 2) Checkout
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svn checkout http://svn.apache.org/repos/asf/hadoop/common/trunk
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Step 3) Build
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Go to common directory - choose your regular common build command. For example:
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export MAVEN_OPTS=-Xmx512m
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mvn clean package -Pdist -Dtar -DskipTests -Pnative
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You can omit -Pnative it you don't want to build native packages.
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Step 4) Untar the tarball from hadoop-dist/target/ into a clean and different
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directory, say YARN_HOME.
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Step 5)
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Start hdfs
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To run Hadoop Mapreduce next applications:
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Step 6) export the following variables to where you have things installed:
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You probably want to export these in hadoop-env.sh and yarn-env.sh also.
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export HADOOP_MAPRED_HOME=<mapred loc>
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export HADOOP_COMMON_HOME=<common loc>
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export HADOOP_HDFS_HOME=<hdfs loc>
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export YARN_HOME=directory where you untarred yarn
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export HADOOP_CONF_DIR=<conf loc>
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export YARN_CONF_DIR=$HADOOP_CONF_DIR
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Step 7) Setup config: for running mapreduce applications, which now are in user land, you need to setup nodemanager with the following configuration in your yarn-site.xml before you start the nodemanager.
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<property>
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<name>yarn.nodemanager.aux-services</name>
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<value>mapreduce.shuffle</value>
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</property>
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<property>
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<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
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<value>org.apache.hadoop.mapred.ShuffleHandler</value>
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</property>
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Step 8) Modify mapred-site.xml to use yarn framework
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<property>
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<name> mapreduce.framework.name</name>
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<value>yarn</value>
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</property>
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Step 9) cd $YARN_HOME
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Step 10) bin/yarn-daemon.sh start resourcemanager
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Step 11) bin/yarn-daemon.sh start nodemanager
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Step 12) bin/yarn-daemon.sh start historyserver
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Step 13) You are all set, an example on how to run a mapreduce job is:
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cd $HADOOP_MAPRED_HOME
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ant examples -Dresolvers=internal
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$HADOOP_COMMON_HOME/bin/hadoop jar $HADOOP_MAPRED_HOME/build/hadoop-mapreduce-examples-0.23.0-SNAPSHOT.jar randomwriter -Dmapreduce.job.user.name=$USER -Dmapreduce.clientfactory.class.name=org.apache.hadoop.mapred.YarnClientFactory -Dmapreduce.randomwriter.bytespermap=10000 -Ddfs.blocksize=536870912 -Ddfs.block.size=536870912 -libjars $YARN_HOME/modules/hadoop-mapreduce-client-jobclient-0.23.0-SNAPSHOT.jar output
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The output on the command line should be almost similar to what you see in the JT/TT setup (Hadoop 0.20/0.21)
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