[jira] [Resolved] (SPARK-30065) Unable to drop na with duplicate columns

["Wenchen Fan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-30065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-30065.
---------------------------------
    Fix Version/s: 3.0.0
       Resolution: Fixed

Issue resolved by pull request 26700
[https://github.com/apache/spark/pull/26700]

> Unable to drop na with duplicate columns
> ----------------------------------------
>
>                 Key: SPARK-30065
>                 URL: https://issues.apache.org/jira/browse/SPARK-30065
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Terry Kim
>            Assignee: Terry Kim
>            Priority: Major
>             Fix For: 3.0.0
>
>
> Trying to drop rows with null values fails even when no columns are specified. This should be allowed:
> {code:java}
> scala> val left = Seq(("1", null), ("3", "4")).toDF("col1", "col2")
> left: org.apache.spark.sql.DataFrame = [col1: string, col2: string]
> scala> val right = Seq(("1", "2"), ("3", null)).toDF("col1", "col2")
> right: org.apache.spark.sql.DataFrame = [col1: string, col2: string]
> scala> val df = left.join(right, Seq("col1"))
> df: org.apache.spark.sql.DataFrame = [col1: string, col2: string ... 1 more field]
> scala> df.show
> +----+----+----+
> |col1|col2|col2|
> +----+----+----+
> |   1|null|   2|
> |   3|   4|null|
> +----+----+----+
> scala> df.na.drop("any")
> org.apache.spark.sql.AnalysisException: Reference 'col2' is ambiguous, could be: col2, col2.;
>   at org.apache.spark.sql.catalyst.expressions.package$AttributeSeq.resolve(package.scala:240)
> {code}



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