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

BUILDING.txt

@@ -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

hadoop-mapreduce-project/CHANGES.txt

@@ -41,6 +41,8 @@ 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

hadoop-mapreduce-project/INSTALL

@@ -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)
-