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https://issues.apache.org/jira/browse/MAPREDUCE-279?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13059688#comment-13059688
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Bill Lee commented on MAPREDUCE-279:
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In this page:
http://svn.apache.org/repos/asf/hadoop/common/branches/MR-279/mapreduce/INSTALL
After running the last command: $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.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
What kind of results or terminal output should I expect?
Thank you.
> Map-Reduce 2.0
> --------------
>
> Key: MAPREDUCE-279
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-279
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: mrv2
> Reporter: Arun C Murthy
> Assignee: Arun C Murthy
> Fix For: 0.23.0
>
> Attachments: MR-279.patch, MR-279.patch, MR-279.sh,
> MR-279_MR_files_to_move.txt, capacity-scheduler-dark-theme.png,
> multi-column-stable-sort-default-theme.png, yarn-state-machine.job.dot,
> yarn-state-machine.job.png, yarn-state-machine.task-attempt.dot,
> yarn-state-machine.task-attempt.png, yarn-state-machine.task.dot,
> yarn-state-machine.task.png
>
>
> Re-factor MapReduce into a generic resource scheduler and a per-job,
> user-defined component that manages the application execution.
> Check it out by following [the instructions|http://goo.gl/rSJJC].
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