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https://issues.apache.org/jira/browse/SPARK-5763?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen resolved SPARK-5763.
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Resolution: Won't Fix
Resolving as "Won't fix" for now, given discussion on the PR RE: this
functionality being provided as part of Spark SQL / DataFrames.
> Sort-based Groupby and Join to resolve skewed data
> --------------------------------------------------
>
> Key: SPARK-5763
> URL: https://issues.apache.org/jira/browse/SPARK-5763
> Project: Spark
> Issue Type: Improvement
> Components: Shuffle, Spark Core
> Reporter: Lianhui Wang
>
> In SPARK-4644, it provide a way to resolve skewed data. But when we has more
> keys that are skewed, I think that the way in SPARK-4644 is inappropriate. So
> we can use sort-merge to resolve skewed-groupby and skewed-join.because
> SPARK-2926 implement merge-sort, we can implement sort-merge for skewed based
> on SPARK-2926. And i have implemented sort-merge-groupby and it is very well
> for skewed data in my test.Later i will implement sort-merge-join to resolve
> skewed-join.
> [~rxin] [~sandyr] [~andrewor14] how about your opinions about this?
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