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MAPREDUCE-6072. Remove INSTALL document (Akira AJISAKA via aw)

This commit is contained in:
Allen Wittenauer 2014-09-29 08:30:06 -07:00
parent cf4631d7c9
commit 4666440b1a
3 changed files with 13 additions and 70 deletions
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11
BUILDING.txt
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@ -170,6 +170,17 @@ Create a local staging version of the website (in /tmp/hadoop-site)
$ mvn clean site; mvn site:stage -DstagingDirectory=/tmp/hadoop-site
----------------------------------------------------------------------------------
Installing Hadoop
Look for these HTML files after you build the document by the above commands.
* Single Node Setup:
hadoop-project-dist/hadoop-common/SingleCluster.html
* Cluster Setup:
hadoop-project-dist/hadoop-common/ClusterSetup.html
----------------------------------------------------------------------------------
Handling out of memory errors in builds

2
hadoop-mapreduce-project/CHANGES.txt
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@ -260,6 +260,8 @@ Release 2.6.0 - UNRELEASED
scheduler resource type is memory plus cpu. (Peng Zhang and Varun Vasudev
via zjshen)
MAPREDUCE-6072. Remove INSTALL document (Akira AJISAKA via aw)
OPTIMIZATIONS
BUG FIXES

70
hadoop-mapreduce-project/INSTALL
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@ -1,70 +0,0 @@
To compile Hadoop Mapreduce next following, do the following:
Step 1) Install dependencies for yarn
See http://svn.apache.org/repos/asf/hadoop/common/trunk/hadoop-mapreduce-porject/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/trunk
Step 3) Build
Go to common directory - choose your regular common build command. For example:
export MAVEN_OPTS=-Xmx512m
mvn clean package -Pdist -Dtar -DskipTests -Pnative
You can omit -Pnative it you don't want to build native packages.
Step 4) Untar the tarball from hadoop-dist/target/ into a clean and different
directory, say HADOOP_YARN_HOME.
Step 5)
Start hdfs
To run Hadoop Mapreduce next applications:
Step 6) 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.
export HADOOP_MAPRED_HOME=<mapred loc>
export HADOOP_COMMON_HOME=<common loc>
export HADOOP_HDFS_HOME=<hdfs loc>
export HADOOP_YARN_HOME=directory where you untarred yarn
export HADOOP_CONF_DIR=<conf loc>
export YARN_CONF_DIR=$HADOOP_CONF_DIR
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.
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
Step 8) Modify mapred-site.xml to use yarn framework
<property>
<name> mapreduce.framework.name</name>
<value>yarn</value>
</property>
Step 9) cd $HADOOP_YARN_HOME
Step 10) sbin/yarn-daemon.sh start resourcemanager
Step 11) sbin/yarn-daemon.sh start nodemanager
Step 12) sbin/mr-jobhistory-daemon.sh start historyserver
Step 13) 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 $HADOOP_MAPRED_HOME/build/hadoop-mapreduce-examples-*.jar randomwriter -Dmapreduce.job.user.name=$USER -Dmapreduce.randomwriter.bytespermap=10000 -Ddfs.blocksize=536870912 -Ddfs.block.size=536870912 -libjars $HADOOP_YARN_HOME/modules/hadoop-mapreduce-client-jobclient-*.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)