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MAPREDUCE-2854. update INSTALL with config necessary run mapred on yarn. (thomas graves via mahadev)

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git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1159421 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Mahadev Konar 2011-08-18 21:25:45 +00:00
parent a027cbf7ce
commit fe87d6a085
3 changed files with 60 additions and 48 deletions
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3
hadoop-mapreduce/CHANGES.txt
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@ -218,6 +218,9 @@ Trunk (unreleased changes)
MAPREDUCE-2489. Jobsplits with random hostnames can make the queue
unusable (jeffrey naisbit via mahadev)
MAPREDUCE-2854. update INSTALL with config necessary run mapred on yarn.
(thomas graves via mahadev)
OPTIMIZATIONS
MAPREDUCE-2026. Make JobTracker.getJobCounters() and

89
hadoop-mapreduce/INSTALL
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@ -2,17 +2,17 @@ To compile Hadoop Mapreduce next following, do the following:
Step 1) Install dependencies for yarn
See http://svn.apache.org/repos/asf/hadoop/common/branches/MR-279/mapreduce/yarn/README
See http://svn.apache.org/repos/asf/hadoop/common/trunk/hadoop-mapreduce/hadoop-yarn/README
Make sure protbuf library is in your library path or set: export LD_LIBRARY_PATH=/usr/local/lib
Step 2) Checkout
svn checkout http://svn.apache.org/repos/asf/hadoop/common/branches/MR-279/
svn checkout http://svn.apache.org/repos/asf/hadoop/common/trunk
Step 3) Build common
Go to common directory
ant veryclean mvn-install
Go to common directory - choose your regular common build command
Example: mvn clean install package -Pbintar -DskipTests
Step 4) Build HDFS
@ -24,51 +24,37 @@ Step 5) Build yarn and mapreduce
Go to mapreduce directory
export MAVEN_OPTS=-Xmx512m
mvn clean install assembly:assembly
ant veryclean jar jar-test -Dresolvers=internal
In case you want to skip the tests run:
mvn clean install assembly:assembly -DskipTests
ant veryclean jar jar-test -Dresolvers=internal
Copy in build.properties if appropriate - make sure eclipse.home not set
ant veryclean tar -Dresolvers=internal
You will see a tarball in
ls target/hadoop-mapreduce-1.0-SNAPSHOT-bin.tar.gz
ls target/hadoop-mapreduce-1.0-SNAPSHOT-all.tar.gz
Step 6) Untar the tarball in a clean and different directory.
say HADOOP_YARN_INSTALL
say YARN_HOME.
To run Hadoop Mapreduce next applications :
Make sure you aren't picking up avro-1.3.2.jar, remove:
$HADOOP_COMMON_HOME/share/hadoop/common/lib/avro-1.3.2.jar
$YARN_HOME/lib/avro-1.3.2.jar
Step 7) cd $HADOOP_YARN_INSTALL
Step 7)
Install hdfs/common and start hdfs
Step 8) export the following variables:
To run Hadoop Mapreduce next applications:
HADOOP_MAPRED_HOME=
HADOOP_COMMON_HOME=
HADOOP_HDFS_HOME=
YARN_HOME=directory where you untarred yarn
HADOOP_CONF_DIR=
YARN_CONF_DIR=$HADOOP_CONF_DIR
Step 8) export the following variables to where you have things installed:
You probably want to export these in hadoop-env.sh and yarn-env.sh also.
Step 9) bin/yarn-daemon.sh start resourcemanager
export HADOOP_MAPRED_HOME=<mapred loc>
export HADOOP_COMMON_HOME=<common loc>
export HADOOP_HDFS_HOME=<hdfs loc>
export YARN_HOME=directory where you untarred yarn
export HADOOP_CONF_DIR=<conf loc>
export YARN_CONF_DIR=$HADOOP_CONF_DIR
Step 10) bin/yarn-daemon.sh start nodemanager
Step 11) bin/yarn-daemon.sh start historyserver
Step 12) Create the following symlinks in hadoop-common/lib
ln -s $HADOOP_YARN_INSTALL/modules/hadoop-mapreduce-client-app-1.0-SNAPSHOT.jar .
ln -s $HADOOP_YARN_INSTALL/modules/yarn-api-1.0-SNAPSHOT.jar .
ln -s $HADOOP_YARN_INSTALL/modules/hadoop-mapreduce-client-common-1.0-SNAPSHOT.jar .
ln -s $HADOOP_YARN_INSTALL/modules/yarn-common-1.0-SNAPSHOT.jar .
ln -s $HADOOP_YARN_INSTALL/modules/hadoop-mapreduce-client-core-1.0-SNAPSHOT.jar .
ln -s $HADOOP_YARN_INSTALL/modules/yarn-server-common-1.0-SNAPSHOT.jar .
ln -s $HADOOP_YARN_INSTALL/modules/hadoop-mapreduce-client-jobclient-1.0-SNAPSHOT.jar .
ln -s $HADOOP_YARN_INSTALL/lib/protobuf-java-2.4.0a.jar .
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.
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.
<property>
<name>nodemanager.auxiluary.services</name>
<value>mapreduce.shuffle</value>
@ -79,11 +65,34 @@ Step 13) Yarn daemons are up! But for running mapreduce applications, which now
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
Step 14) You are all set, an example on how to run a mapreduce job is:
Step 10) Modify mapred-site.xml to use yarn framework
<property>
<name> mapreduce.framework.name</name>
<value>yarn</value>
</property>
Step 11) Create the following symlinks in $HADOOP_COMMON_HOME/share/hadoop/common/lib
ln -s $YARN_HOME/modules/hadoop-mapreduce-client-app-1.0-SNAPSHOT.jar .
ln -s $YARN_HOME/modules/hadoop-yarn-api-1.0-SNAPSHOT.jar .
ln -s $YARN_HOME/modules/hadoop-mapreduce-client-common-1.0-SNAPSHOT.jar .
ln -s $YARN_HOME/modules/hadoop-yarn-common-1.0-SNAPSHOT.jar .
ln -s $YARN_HOME/modules/hadoop-mapreduce-client-core-1.0-SNAPSHOT.jar .
ln -s $YARN_HOME/modules/hadoop-yarn-server-common-1.0-SNAPSHOT.jar .
ln -s $YARN_HOME/modules/hadoop-mapreduce-client-jobclient-1.0-SNAPSHOT.jar .
Step 12) cd $YARN_HOME
Step 13) bin/yarn-daemon.sh start resourcemanager
Step 14) bin/yarn-daemon.sh start nodemanager
Step 15) bin/yarn-daemon.sh start historyserver
Step 16) You are all set, an example on how to run a mapreduce job is:
cd $HADOOP_MAPRED_HOME
ant examples -Dresolvers=internal
$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
$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
The output on the command line should be almost similar to what you see in the JT/TT setup (Hadoop 0.20/0.21)

14
hadoop-mapreduce/hadoop-yarn/README
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@ -4,7 +4,7 @@ YARN (YET ANOTHER RESOURCE NEGOTIATOR or YARN Application Resource Negotiator)
Requirements
-------------
Java: JDK 1.6
Maven: Maven 2
Maven: Maven 3
Setup
-----
@ -63,11 +63,11 @@ Modules
-------
YARN consists of multiple modules. The modules are listed below as per the directory structure:
yarn-api - Yarn's cross platform external interface
hadoop-yarn-api - Yarn's cross platform external interface
yarn-common - Utilities which can be used by yarn clients and server
hadoop-yarn-common - Utilities which can be used by yarn clients and server
yarn-server - Implementation of the yarn-api
yarn-server-common - APIs shared between resourcemanager and nodemanager
yarn-server-nodemanager (TaskTracker replacement)
yarn-server-resourcemanager (JobTracker replacement)
hadoop-yarn-server - Implementation of the hadoop-yarn-api
hadoop-yarn-server-common - APIs shared between resourcemanager and nodemanager
hadoop-yarn-server-nodemanager (TaskTracker replacement)
hadoop-yarn-server-resourcemanager (JobTracker replacement)