[jira] [Resolved] (SPARK-31123) Drop does not work after join with aliases

["Mikel San Vicente (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-31123?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mikel San Vicente resolved SPARK-31123.
---------------------------------------
    Fix Version/s: 3.0.0
       Resolution: Fixed

> Drop does not work after join with aliases
> ------------------------------------------
>
>                 Key: SPARK-31123
>                 URL: https://issues.apache.org/jira/browse/SPARK-31123
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.2
>            Reporter: Mikel San Vicente
>            Priority: Major
>             Fix For: 3.0.0
>
>
>  
> Hi,
> I am seeing a really strange behaviour in drop method after a join with aliases. It doesn't seem to find the column when I reference to it using dataframe("columnName") syntax, but it does work with other combinators like select
> {code:java}
> case class Record(a: String, dup: String)
> case class Record2(b: String, dup: String)
> val df = Seq(Record("a", "dup")).toDF
> val df2 = Seq(Record2("a", "dup")).toDF 
> val joined = df.alias("a").join(df2.alias("b"), df("a") === df2("b"))
> val dupCol = df("dup")
> joined.drop(dupCol) // Does not drop anything
> joined.drop(func.col("a.dup")) // It drops the column  
> joined.select(dupCol) // It selects the column
> {code}
>  
>  
>  



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