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https://issues.apache.org/jira/browse/SPARK-12957?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15864808#comment-15864808
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Sameer Agarwal commented on SPARK-12957:
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[~ndimiduk] yes, I believe you should be able to observe the optimization
described in SPARK-13219 on upgrading to 2.x. Specifically, support for
inferring and pushing predicates based on join equality condition(s) have been
implemented by subtasks SPARK-13789 and SPARK-13871 respectively.
> Derive and propagate data constrains in logical plan
> -----------------------------------------------------
>
> Key: SPARK-12957
> URL: https://issues.apache.org/jira/browse/SPARK-12957
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Reporter: Yin Huai
> Assignee: Sameer Agarwal
> Attachments: ConstraintPropagationinSparkSQL.pdf
>
>
> Based on the semantic of a query plan, we can derive data constrains (e.g. if
> a filter defines {{a > 10}}, we know that the output data of this filter
> satisfy the constrain of {{a > 10}} and {{a is not null}}). We should build a
> framework to derive and propagate constrains in the logical plan, which can
> help us to build more advanced optimizations.
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