[
https://issues.apache.org/jira/browse/MAPREDUCE-3315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13235534#comment-13235534
]
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