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Posted to issues@spark.apache.org by "Wenchen Fan (Jira)" <ji...@apache.org> on 2021/04/14 07:02:00 UTC
[jira] [Resolved] (SPARK-34527) De-duplicated common columns cannot
be resolved from USING/NATURAL JOIN
[ https://issues.apache.org/jira/browse/SPARK-34527?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-34527.
---------------------------------
Fix Version/s: 3.2.0
Resolution: Fixed
Issue resolved by pull request 31666
[https://github.com/apache/spark/pull/31666]
> De-duplicated common columns cannot be resolved from USING/NATURAL JOIN
> -----------------------------------------------------------------------
>
> Key: SPARK-34527
> URL: https://issues.apache.org/jira/browse/SPARK-34527
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Karen Feng
> Assignee: Karen Feng
> Priority: Minor
> Fix For: 3.2.0
>
>
> USING/NATURAL JOINS today have unexpectedly asymmetric behavior when resolving the duplicated common columns. For example, the left key columns can be resolved from a USING INNER JOIN, but the right key columns cannot. This is due to the Analyzer's [rewrite|https://github.com/apache/spark/blob/999d3b89b6df14a5ccb94ffc2ffadb82964e9f7d/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#L3397] of NATURAL/USING JOINs, which uses Project to remove the duplicated common columns.
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