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https://issues.apache.org/jira/browse/SPARK-45722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Alexey Dmitriev updated SPARK-45722:
------------------------------------
Environment:
py3.11
pyspark 3.4.0
was:
py3.11
pyspark 3.4.0
I have following code:
```
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,
```
> 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
>
> So, I have following code
>
>
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