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https://issues.apache.org/jira/browse/SPARK-4644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14228279#comment-14228279
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Lianhui Wang commented on SPARK-4644:
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hi @Shixiong Zhu, with skew data, can we use broadcast join to implement it. i
think performance of broadcast join is very higher. at last we can merge result
of broadcast join & common join.
> Implement skewed join
> ---------------------
>
> Key: SPARK-4644
> URL: https://issues.apache.org/jira/browse/SPARK-4644
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Shixiong Zhu
> Attachments: Skewed Join Design Doc.pdf
>
>
> Skewed data is not rare. For example, a book recommendation site may have
> several books which are liked by most of the users. Running ALS on such
> skewed data will raise a OutOfMemory error, if some book has too many users
> which cannot be fit into memory. To solve it, we propose a skewed join
> implementation.
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