[jira] [Commented] (SPARK-45722) False positive when cheking for ambigious columns

["Alexey Dmitriev (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-45722?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17780942#comment-17780942 ] 

Alexey Dmitriev commented on SPARK-45722:
-----------------------------------------

I think the type of the merge should be checked [here|https://github.com/apache/spark/blob/b92265a98f241b333467a02f4fffc9889ad3e7da/sql/core/src/main/scala/org/apache/spark/sql/execution/analysis/DetectAmbiguousSelfJoin.scala#L129]

> False positive when cheking for ambigious columns 
> --------------------------------------------------
>
>                 Key: SPARK-45722
>                 URL: https://issues.apache.org/jira/browse/SPARK-45722
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 3.4.0
>         Environment: py3.11 
> pyspark 3.4.0
>            Reporter: Alexey Dmitriev
>            Priority: Major
>
> I have following code, which I expect to work
> ```
> from pyspark.sql import SparkSession
> session = SparkSession.Builder().getOrCreate()
> A = session.createDataFrame([(1,)], ['a'])
> B = session.createDataFrame([(1,)], ['b'])
> A.join(B).select(B.b) # works fine
> C = A.join(A.join(B), on=F.lit(False), how='leftanti') # C has the same columns as A (columns, not only names)
> C.join(B).select(B.b) #doesn't work, says B.b is ambigious,
> ``` 



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