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https://issues.apache.org/jira/browse/FLINK-2240?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14660331#comment-14660331
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ASF GitHub Bot commented on FLINK-2240:
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Github user StephanEwen commented on the pull request:
https://github.com/apache/flink/pull/888#issuecomment-128441993
This was a super cool contribution. A pretty sophisticated addition, super
testing, high code quality.
I am very impressed!
I hope you will contribute more to Flink. Already saw that you opened
another pull request, for a sampling operator. Happy that this is happening :-)
In the future, I can hopefully review and merge the pull requests faster.
The past weeks, I did not get to code work as much as I wanted, and the list of
critical issues was long, so this pull request got delayed a bit.
> Use BloomFilter to minimize probe side records which are spilled to disk in
> Hybrid-Hash-Join
> --------------------------------------------------------------------------------------------
>
> Key: FLINK-2240
> URL: https://issues.apache.org/jira/browse/FLINK-2240
> Project: Flink
> Issue Type: Improvement
> Components: Core
> Reporter: Chengxiang Li
> Assignee: Chengxiang Li
> Priority: Minor
>
> In Hybrid-Hash-Join, while small table does not fit into memory, part of the
> small table data would be spilled to disk, and the counterpart partition of
> big table data would be spilled to disk in probe phase as well. If we build a
> BloomFilter while spill small table to disk during build phase, and use it to
> filter the big table records which tend to be spilled to disk, this may
> greatly reduce the spilled big table file size, and saved the disk IO cost
> for writing and further reading.
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