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https://issues.apache.org/jira/browse/SPARK-36978?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-36978:
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Assignee: (was: Apache Spark)
> InferConstraints rule should create IsNotNull constraints on the nested field
> instead of the root nested type
> --------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-36978
> URL: https://issues.apache.org/jira/browse/SPARK-36978
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0, 3.1.0, 3.2.0
> Reporter: Utkarsh Agarwal
> Priority: Major
>
> [InferFiltersFromConstraints|https://github.com/apache/spark/blob/05c0fa573881b49d8ead9a5e16071190e5841e1b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala#L1206]
> optimization rule generates {{IsNotNull}} constraints corresponding to null
> intolerant predicates. The {{IsNotNull}} constraints are generated on the
> attribute inside the corresponding predicate.
> e.g. A predicate {{a > 0}} on an integer column {{a}} will result in a
> constraint {{IsNotNull(a)}}. On the other hand a predicate on a nested int
> column {{structCol.b}} where {{structCol}} is a struct column results in a
> constraint {{IsNotNull(structCol)}}.
> This generation of constraints on the root level nested type is extremely
> conservative as it could lead to materialization of the the entire struct.
> The constraint should instead be generated on the nested field being
> referenced by the predicate. In the above example, the constraint should be
> {{IsNotNull(structCol.b)}} instead of {{IsNotNull(structCol)}}
>
> The new constraints also create opportunities for nested pruning. Currently
> {{IsNotNull(structCol)}} constraint would preclude pruning of {{structCol}}.
> However the constraint {{IsNotNull(structCol.b)}} could create opportunities
> to prune {{structCol}}.
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