MAPREDUCE-2854. update INSTALL with config necessary run mapred on yarn. (thomas graves via mahadev)
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1159421 13f79535-47bb-0310-9956-ffa450edef68
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@ -218,6 +218,9 @@ Trunk (unreleased changes)
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MAPREDUCE-2489. Jobsplits with random hostnames can make the queue
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unusable (jeffrey naisbit via mahadev)
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MAPREDUCE-2854. update INSTALL with config necessary run mapred on yarn.
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(thomas graves via mahadev)
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OPTIMIZATIONS
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MAPREDUCE-2026. Make JobTracker.getJobCounters() and
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@ -2,17 +2,17 @@ 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/branches/MR-279/mapreduce/yarn/README
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See http://svn.apache.org/repos/asf/hadoop/common/trunk/hadoop-mapreduce/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/branches/MR-279/
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svn checkout http://svn.apache.org/repos/asf/hadoop/common/trunk
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Step 3) Build common
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Go to common directory
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ant veryclean mvn-install
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Go to common directory - choose your regular common build command
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Example: mvn clean install package -Pbintar -DskipTests
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Step 4) Build HDFS
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@ -24,51 +24,37 @@ Step 5) Build yarn and mapreduce
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Go to mapreduce directory
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export MAVEN_OPTS=-Xmx512m
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mvn clean install assembly:assembly
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ant veryclean jar jar-test -Dresolvers=internal
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In case you want to skip the tests run:
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mvn clean install assembly:assembly -DskipTests
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ant veryclean jar jar-test -Dresolvers=internal
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Copy in build.properties if appropriate - make sure eclipse.home not set
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ant veryclean tar -Dresolvers=internal
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You will see a tarball in
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ls target/hadoop-mapreduce-1.0-SNAPSHOT-bin.tar.gz
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ls target/hadoop-mapreduce-1.0-SNAPSHOT-all.tar.gz
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Step 6) Untar the tarball in a clean and different directory.
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say HADOOP_YARN_INSTALL
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say YARN_HOME.
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To run Hadoop Mapreduce next applications :
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Make sure you aren't picking up avro-1.3.2.jar, remove:
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$HADOOP_COMMON_HOME/share/hadoop/common/lib/avro-1.3.2.jar
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$YARN_HOME/lib/avro-1.3.2.jar
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Step 7) cd $HADOOP_YARN_INSTALL
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Step 7)
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Install hdfs/common and start hdfs
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Step 8) export the following variables:
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To run Hadoop Mapreduce next applications:
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HADOOP_MAPRED_HOME=
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HADOOP_COMMON_HOME=
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HADOOP_HDFS_HOME=
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YARN_HOME=directory where you untarred yarn
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HADOOP_CONF_DIR=
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YARN_CONF_DIR=$HADOOP_CONF_DIR
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Step 8) 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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Step 9) bin/yarn-daemon.sh start resourcemanager
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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 10) bin/yarn-daemon.sh start nodemanager
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Step 11) bin/yarn-daemon.sh start historyserver
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Step 12) Create the following symlinks in hadoop-common/lib
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ln -s $HADOOP_YARN_INSTALL/modules/hadoop-mapreduce-client-app-1.0-SNAPSHOT.jar .
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ln -s $HADOOP_YARN_INSTALL/modules/yarn-api-1.0-SNAPSHOT.jar .
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ln -s $HADOOP_YARN_INSTALL/modules/hadoop-mapreduce-client-common-1.0-SNAPSHOT.jar .
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ln -s $HADOOP_YARN_INSTALL/modules/yarn-common-1.0-SNAPSHOT.jar .
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ln -s $HADOOP_YARN_INSTALL/modules/hadoop-mapreduce-client-core-1.0-SNAPSHOT.jar .
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ln -s $HADOOP_YARN_INSTALL/modules/yarn-server-common-1.0-SNAPSHOT.jar .
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ln -s $HADOOP_YARN_INSTALL/modules/hadoop-mapreduce-client-jobclient-1.0-SNAPSHOT.jar .
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ln -s $HADOOP_YARN_INSTALL/lib/protobuf-java-2.4.0a.jar .
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Step 13) Yarn daemons are up! But 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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Step 9) 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>nodemanager.auxiluary.services</name>
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<value>mapreduce.shuffle</value>
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@ -79,11 +65,34 @@ Step 13) Yarn daemons are up! But for running mapreduce applications, which now
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<value>org.apache.hadoop.mapred.ShuffleHandler</value>
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</property>
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Step 14) You are all set, an example on how to run a mapreduce job is:
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Step 10) 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 11) Create the following symlinks in $HADOOP_COMMON_HOME/share/hadoop/common/lib
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ln -s $YARN_HOME/modules/hadoop-mapreduce-client-app-1.0-SNAPSHOT.jar .
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ln -s $YARN_HOME/modules/hadoop-yarn-api-1.0-SNAPSHOT.jar .
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ln -s $YARN_HOME/modules/hadoop-mapreduce-client-common-1.0-SNAPSHOT.jar .
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ln -s $YARN_HOME/modules/hadoop-yarn-common-1.0-SNAPSHOT.jar .
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ln -s $YARN_HOME/modules/hadoop-mapreduce-client-core-1.0-SNAPSHOT.jar .
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ln -s $YARN_HOME/modules/hadoop-yarn-server-common-1.0-SNAPSHOT.jar .
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ln -s $YARN_HOME/modules/hadoop-mapreduce-client-jobclient-1.0-SNAPSHOT.jar .
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Step 12) cd $YARN_HOME
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Step 13) bin/yarn-daemon.sh start resourcemanager
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Step 14) bin/yarn-daemon.sh start nodemanager
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Step 15) bin/yarn-daemon.sh start historyserver
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Step 16) 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 $HADOOP_MAPRED_HOME/build/hadoop-mapred-examples-0.22.0-SNAPSHOT.jar randomwriter -Dmapreduce.job.user.name=$USER -Dmapreduce.clientfactory.class.name=org.apache.hadoop.mapred.YarnClientFactory -Dmapreduce.randomwriter.bytespermap=10000 -Ddfs.blocksize=536870912 -Ddfs.block.size=536870912 -libjars $HADOOP_YARN_INSTALL/hadoop-mapreduce-1.0-SNAPSHOT/modules/hadoop-mapreduce-client-jobclient-1.0-SNAPSHOT.jar output
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ant examples -Dresolvers=internal
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$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-1.0-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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@ -4,7 +4,7 @@ YARN (YET ANOTHER RESOURCE NEGOTIATOR or YARN Application Resource Negotiator)
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Requirements
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-------------
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Java: JDK 1.6
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Maven: Maven 2
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Maven: Maven 3
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Setup
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-----
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@ -63,11 +63,11 @@ Modules
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-------
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YARN consists of multiple modules. The modules are listed below as per the directory structure:
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yarn-api - Yarn's cross platform external interface
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hadoop-yarn-api - Yarn's cross platform external interface
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yarn-common - Utilities which can be used by yarn clients and server
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hadoop-yarn-common - Utilities which can be used by yarn clients and server
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yarn-server - Implementation of the yarn-api
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yarn-server-common - APIs shared between resourcemanager and nodemanager
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yarn-server-nodemanager (TaskTracker replacement)
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yarn-server-resourcemanager (JobTracker replacement)
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hadoop-yarn-server - Implementation of the hadoop-yarn-api
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hadoop-yarn-server-common - APIs shared between resourcemanager and nodemanager
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hadoop-yarn-server-nodemanager (TaskTracker replacement)
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hadoop-yarn-server-resourcemanager (JobTracker replacement)
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