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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/10/14 16:08:00 UTC
[jira] [Assigned] (SPARK-40800) Always inline expressions in OptimizeOneRowRelationSubquery
[ https://issues.apache.org/jira/browse/SPARK-40800?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-40800:
------------------------------------
Assignee: Apache Spark
> Always inline expressions in OptimizeOneRowRelationSubquery
> -----------------------------------------------------------
>
> Key: SPARK-40800
> URL: https://issues.apache.org/jira/browse/SPARK-40800
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Allison Wang
> Assignee: Apache Spark
> Priority: Major
>
> SPARK-39699 made `CollpaseProjects` more conservative. This has impacted correlated subqueries that Spark used to be able to support. For example, a correlated one-row scalar subquery that has a higher-order function:
> {code:java}
> CREATE TEMP VIEW t1 AS SELECT ARRAY('a', 'b') a
> SELECT (
> SELECT array_sort(a, (i, j) -> rank[i] - rank[j]) AS sorted
> FROM (SELECT MAP('a', 1, 'b', 2) rank)
> ) FROM t1{code}
> This will throw an exception after SPARK-39699:
> {code:java}
> Unexpected operator Join Inner
> :- Aggregate [[a,b]], [[a,b] AS a#252]
> : +- OneRowRelation
> +- Project [map(keys: [a,b], values: [1,2]) AS rank#241]
> +- OneRowRelation
> in correlated subquery{code}
> because the projects inside the subquery can no longer be collapsed. We should always inline expressions if possible to avoid adding domain joins and support a wider range of correlated subqueries.
>
>
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