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https://issues.apache.org/jira/browse/SPARK-32302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gengliang Wang updated SPARK-32302:
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Summary: Partially push down disjunctive predicates through Join/Partition
pruning (was: Partially push down disjunctive predicates through Join)
> Partially push down disjunctive predicates through Join/Partition pruning
> -------------------------------------------------------------------------
>
> 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
>
> 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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