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https://issues.apache.org/jira/browse/FLINK-2491?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16701630#comment-16701630
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Lin Canhuang commented on FLINK-2491:
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I also came across this problem when setting the source parallelism larger than
the partitions of kafka.
I done this patch(using 1.6 release) for a workaround. I'm not sure it is fine
or not, please check. THX.
[^fix_checkpoint_not_working_if_tasks_are_finished.patch]
> Checkpointing only works if all operators/tasks are still running
> -----------------------------------------------------------------
>
> Key: FLINK-2491
> URL: https://issues.apache.org/jira/browse/FLINK-2491
> Project: Flink
> Issue Type: Bug
> Components: DataStream API, State Backends, Checkpointing
> Affects Versions: 0.10.0
> Reporter: Robert Metzger
> Assignee: Márton Balassi
> Priority: Critical
> Attachments: fix_checkpoint_not_working_if_tasks_are_finished.patch
>
>
> While implementing a test case for the Kafka Consumer, I came across the
> following bug:
> Consider the following topology, with the operator parallelism in parentheses:
> Source (2) --> Sink (1).
> In this setup, the {{snapshotState()}} method is called on the source, but
> not on the Sink.
> The sink receives the generated data.
> only one of the two sources is generating data.
> I've implemented a test case for this, you can find it here:
> https://github.com/rmetzger/flink/blob/para_checkpoint_bug/flink-tests/src/test/java/org/apache/flink/test/checkpointing/ParallelismChangeCheckpoinedITCase.java
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