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Sharad Agarwal commented on MAPREDUCE-3315: ------------------------------------------- bq. Should I use Hadoop IPC or RMI Hadoop IPC bq. Should the Master be "in" the ApplicationManager or be run as a Container? For Master, you need to write a yarn ApplicationMaster (AM) see - http://hadoop.apache.org/common/docs/r0.23.0/hadoop-yarn/hadoop-yarn-site/WritingYarnApplications.html AM runs in one of the container on the cluster. Also it would be good to completely separate the user API (writing master-worker apps) and the runtime implementation clearly. > Master-Worker Application on YARN > --------------------------------- > > Key: MAPREDUCE-3315 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-3315 > Project: Hadoop Map/Reduce > Issue Type: New Feature > Reporter: Sharad Agarwal > Assignee: Sharad Agarwal > Fix For: 0.24.0 > > > Currently master worker scenarios are forced fit into Map-Reduce. Now with > YARN, these can be first class and would benefit real/near realtime workloads > and be more effective in using the cluster resources. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira