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https://issues.apache.org/jira/browse/FLINK-2324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14644334#comment-14644334
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ASF GitHub Bot commented on FLINK-2324:
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Github user StephanEwen commented on the pull request:
https://github.com/apache/flink/pull/937#issuecomment-125597692
So, the `StreamCheckpointingITCase` actually has the problem that is uses
this reducer that is implicitly on an infinite window. Since that is not
checkpointed, all results after that reducer are not correctly recovered.
> Rework partitioned state storage
> --------------------------------
>
> Key: FLINK-2324
> URL: https://issues.apache.org/jira/browse/FLINK-2324
> Project: Flink
> Issue Type: Improvement
> Reporter: Gyula Fora
> Assignee: Gyula Fora
>
> Partitioned states are currently stored per-key in statehandles. This is
> alright for in-memory storage but is very inefficient for HDFS.
> The logic behind the current mechanism is that this approach provides a way
> to repartition a state without fetching the data from the external storage
> and only manipulating handles.
> We should come up with a solution that can achieve both.
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