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ASF GitHub Bot commented on FLINK-2240: --------------------------------------- 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)