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https://issues.apache.org/jira/browse/FLINK-12138?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-12138:
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Labels: auto-unassigned stale-major (was: auto-unassigned)
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> Limit input split count of each source task for better failover experience
> --------------------------------------------------------------------------
>
> Key: FLINK-12138
> URL: https://issues.apache.org/jira/browse/FLINK-12138
> Project: Flink
> Issue Type: Improvement
> Components: Runtime / Task
> Affects Versions: 1.9.0
> Reporter: Zhu Zhu
> Priority: Major
> Labels: auto-unassigned, stale-major
>
> Flink currently use an InputSplitAssigner to dynamically assign input splits
> to source tasks. A task requests a new split after finishes processing the
> previous one. Thus to achieve a better load balance.
> However, in cases that the slots are fewer than the source tasks, only the
> first launched source tasks can request splits and it will last till all the
> splits are consumed. This is not failover friendly, as users sometimes
> intentionally set a larger parallelism to reduce the failover impact.
> For example, a job runs in an 10 slots session and it has an 1000 parallelism
> source vertex to consume 10000 splits, all vertices are not connected to
> others. Currently, 10 of 1000 source task will be launched and will only
> finish after all the input splits are consumed. If a task fails, at most
> ~1000 splits need to be re-processed. While if 1000 tasks can run at once,
> only ~10 splits needs to be re-processed.
>
> We's propose add a cap for the input splits count that each source task shall
> process. Once the cap is reached, the task cannot get any more split from the
> InputSplitAssigner and finishes then. Thus slot space can be made for other
> source tasks.
> Theoretically, it would be proper to set the cap to be max(Input split
> size)/avg(input split size).
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