[jira] [Updated] (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: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
>  
>  



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org