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https://issues.apache.org/jira/browse/FLINK-10205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16652868#comment-16652868
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ASF GitHub Bot commented on FLINK-10205:
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wenlong88 commented on issue #6684: [FLINK-10205] Batch Job: InputSplit
Fault tolerant for DataSource…
URL: https://github.com/apache/flink/pull/6684#issuecomment-430467136
hi, @tillrohrmann @isunjin , we have encountered the same issue in region
failover, and fix with a similar patch. Restricting the splits to the failed
task is necessary, because the framework do not know how the input assigner
assign splits to subtask and we can't reconstruct the assigner in region
failover, so keep the assignment not changed is the most general way to fix the
issue.
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> Batch Job: InputSplit Fault tolerant for DataSourceTask
> -------------------------------------------------------
>
> Key: FLINK-10205
> URL: https://issues.apache.org/jira/browse/FLINK-10205
> Project: Flink
> Issue Type: Sub-task
> Components: JobManager
> Affects Versions: 1.6.1, 1.7.0, 1.6.2
> Reporter: JIN SUN
> Assignee: JIN SUN
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.7.0
>
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> Today DataSource Task pull InputSplits from JobManager to achieve better
> performance, however, when a DataSourceTask failed and rerun, it will not get
> the same splits as its previous version. this will introduce inconsistent
> result or even data corruption.
> Furthermore, if there are two executions run at the same time (in batch
> scenario), this two executions should process same splits.
> we need to fix the issue to make the inputs of a DataSourceTask
> deterministic. The propose is save all splits into ExecutionVertex and
> DataSourceTask will pull split from there.
> document:
> [https://docs.google.com/document/d/1FdZdcA63tPUEewcCimTFy9Iz2jlVlMRANZkO4RngIuk/edit?usp=sharing]
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