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https://issues.apache.org/jira/browse/FLINK-10205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16653159#comment-16653159
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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-430529308
A real use case: we implements a source function of infinite stream job
which use input format to initialize input splits (so that we can just visit
the meta data of storage once) and assign input split to every task. the input
split will never finish and we need to make sure that all of task process the
same number of input split for load balance.
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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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