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https://issues.apache.org/jira/browse/FLINK-2084?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14558241#comment-14558241
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ASF GitHub Bot commented on FLINK-2084:
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Github user rmetzger commented on the pull request:
https://github.com/apache/flink/pull/718#issuecomment-105230094
+1 to merge.
The changes look good.
> Create a dedicated streaming mode
> ---------------------------------
>
> Key: FLINK-2084
> URL: https://issues.apache.org/jira/browse/FLINK-2084
> Project: Flink
> Issue Type: Improvement
> Components: Distributed Runtime
> Affects Versions: 0.9
> Reporter: Stephan Ewen
> Assignee: Stephan Ewen
> Fix For: 0.9
>
>
> As per discussion on the mailing list
> http://mail-archives.apache.org/mod_mbox/flink-dev/201505.mbox/browser
> - We add a dedicated streaming mode for now. The streaming mode supersedes
> the batch mode, so it can run both type of programs.
> - The streaming mode sets the memory manager to "lazy allocation".
> -> So long as it runs pure streaming jobs, the full heap will be
> available to window buffers and UDFs.
> -> Batch programs can still run, so mixed workloads are not prevented.
> Batch programs are a bit less robust there, because the memory manager does
> not pre-allocate memory. UDFs can eat into Flink's memory portion.
> - The streaming mode starts the necessary configured components/services for
> state backups
> Over the next versions, we want to bring these things together:
> - use the managed memory for window buffers
> - on-demand starting of the state backend
> Then, we deprecate the streaming mode, let both modes start the cluster in
> the same way.
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