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https://issues.apache.org/jira/browse/SPARK-27714?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16845988#comment-16845988
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Nandor Kollar commented on SPARK-27714:
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Is this something similar that is implemented [in
Postgres|https://www.postgresql.org/docs/current/geqo.html]? I'm curious about
the use case where GA could outperforms the current join reorder logic in
Spark. I tried to find benchmark results about the Postgres implementation, but
couldn't find any. Do you know any success story about applying GA in this
field?
> Support Join Reorder based on Genetic Algorithm when the # of joined tables >
> 12
> --------------------------------------------------------------------------------
>
> Key: SPARK-27714
> URL: https://issues.apache.org/jira/browse/SPARK-27714
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.4.3
> Reporter: Xianyin Xin
> Priority: Major
>
> Now the join reorder logic is based on dynamic planning which can find the
> most optimized plan theoretically, but the searching cost grows rapidly with
> the # of joined tables grows. It would be better to introduce Genetic
> algorithm (GA) to overcome this problem.
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