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Posted to issues@spark.apache.org by "Wenchen Fan (Jira)" <ji...@apache.org> on 2020/07/20 14:18:00 UTC
[jira] [Resolved] (SPARK-32302) Partially push down disjunctive
predicates through Join/Partitions
[ https://issues.apache.org/jira/browse/SPARK-32302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-32302.
---------------------------------
Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29101
[https://github.com/apache/spark/pull/29101]
> Partially push down disjunctive predicates through Join/Partitions
> ------------------------------------------------------------------
>
> Key: SPARK-32302
> URL: https://issues.apache.org/jira/browse/SPARK-32302
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
> Fix For: 3.1.0
>
>
> In https://github.com/apache/spark/pull/28733, CNF conversion is used to push down disjunctive predicates through join.
> It's a good improvement, however,
> 1. converting all the predicates in CNF can lead to a very long result, even with grouping functions over expressions.
> 2.the non-recursive is not easy for understanding.
> Essentially, we just need to traverse predicate and extract the convertible sub-predicates like what we did in https://github.com/apache/spark/pull/24598. There is no need to maintain the CNF result set.
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