[jira] [Assigned] (SPARK-23802) PropagateEmptyRelation can leave query plan in unresolved state
[
https://issues.apache.org/jira/browse/SPARK-23802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-23802:
Assignee: (was: Apache Spark)
> PropagateEmptyRelation can leave query plan in unresolved state
> ---
>
> Key: SPARK-23802
> URL: https://issues.apache.org/jira/browse/SPARK-23802
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.3.0
>Reporter: Robert Kruszewski
>Priority: Minor
>
> Since [https://github.com/apache/spark/pull/19825] PropagateEmptyRelation has
> been taught to handle more cases it can cause the optimized query plan to be
> unresolved.
> Simple repro is to run following through the optimizer
> {code:java}
> LocalRelation.fromExternalRows(Seq('a.int), data = Seq(Row(1)))
> .join(LocalRelation('a.int, 'b.int), UsingJoin(FullOuter, "a" :: Nil),
> None){code}
> Which results in
> {code:java}
> Project [coalesce(a#0, null) AS a#7, null AS b#6]
> +- LocalRelation [a#0]{code}
> This then fails type check on coalesce expression since `a` and null have
> different type.
>
> Simple, targeted fix is to change PropagateEmptyRelation to add casts around
> nulls. More comprehensive fix would be to run type coercion at the end of
> optimization so it can fix cases like those. Alternatively the type checking
> code could treat NullType as equal to any other type and not fail the type
> check in the first place.
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[jira] [Assigned] (SPARK-23802) PropagateEmptyRelation can leave query plan in unresolved state
[
https://issues.apache.org/jira/browse/SPARK-23802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-23802:
Assignee: Apache Spark
> PropagateEmptyRelation can leave query plan in unresolved state
> ---
>
> Key: SPARK-23802
> URL: https://issues.apache.org/jira/browse/SPARK-23802
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 2.3.0
>Reporter: Robert Kruszewski
>Assignee: Apache Spark
>Priority: Minor
>
> Since [https://github.com/apache/spark/pull/19825] PropagateEmptyRelation has
> been taught to handle more cases it can cause the optimized query plan to be
> unresolved.
> Simple repro is to run following through the optimizer
> {code:java}
> LocalRelation.fromExternalRows(Seq('a.int), data = Seq(Row(1)))
> .join(LocalRelation('a.int, 'b.int), UsingJoin(FullOuter, "a" :: Nil),
> None){code}
> Which results in
> {code:java}
> Project [coalesce(a#0, null) AS a#7, null AS b#6]
> +- LocalRelation [a#0]{code}
> This then fails type check on coalesce expression since `a` and null have
> different type.
>
> Simple, targeted fix is to change PropagateEmptyRelation to add casts around
> nulls. More comprehensive fix would be to run type coercion at the end of
> optimization so it can fix cases like those. Alternatively the type checking
> code could treat NullType as equal to any other type and not fail the type
> check in the first place.
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