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https://issues.apache.org/jira/browse/SPARK-30353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-30353.
---------------------------------
Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 27008
[https://github.com/apache/spark/pull/27008]
> Use constraints in SimplifyBinaryComparison optimization
> --------------------------------------------------------
>
> Key: SPARK-30353
> URL: https://issues.apache.org/jira/browse/SPARK-30353
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: ulysses you
> Assignee: ulysses you
> Priority: Minor
> Fix For: 3.0.0
>
>
> Now Spark can propagate constraint during sql optimization when
> `spark.sql.constraintPropagation.enabled` is true, then `where c = 1` will
> convert to `where c = 1 and c is not null`. We also can use constraint in
> `SimplifyBinaryComparison`.
> `SimplifyBinaryComparison` will simplify expression which is not nullable and
> semanticEquals. And we also can simplify if one expression is infered
> `IsNotNull`.
> For e.g.
> ```
> create table test (c1 string);
> explain extended select c1 from test where c1 = c1 limit 10;
> -- before
> GlobalLimit 10
> +- LocalLimit 10
> +- Filter (isnotnull(c1#20) AND (c1#20 = c1#20))
> +- Relation[c1#20]
> -- after
> GlobalLimit 10
> +- LocalLimit 10
> +- Filter (isnotnull(c1#20)
> +- Relation[c1#20]
> explain extended select c1 from test where c1 > c1 limit 10;
> -- before
> GlobalLimit 10
> +- LocalLimit 10
> +- Filter (isnotnull(c1#20) && (c1#20 > c1#20))
> +- Relation[c1#20]
> -- after
> LocalRelation <empty>, [c1#20]
> ```
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