[jira] [Resolved] (SPARK-34649) org.apache.spark.sql.DataFrameNaFunctions.replace() fails for column name having a dot

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

     [ https://issues.apache.org/jira/browse/SPARK-34649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-34649.
---------------------------------
    Fix Version/s: 3.2.0
       Resolution: Fixed

Issue resolved by pull request 31769
[https://github.com/apache/spark/pull/31769]

> org.apache.spark.sql.DataFrameNaFunctions.replace() fails for column name having a dot
> --------------------------------------------------------------------------------------
>
>                 Key: SPARK-34649
>                 URL: https://issues.apache.org/jira/browse/SPARK-34649
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Amandeep Sharma
>            Assignee: Amandeep Sharma
>            Priority: Major
>             Fix For: 3.2.0
>
>
> Code to reproduce the issue:
> {code:java}
> import org.apache.spark.sql.SparkSession
> object ColumnNameWithDot {
>   def main(args: Array[String]): Unit = {
>     val spark = SparkSession.builder.appName("Simple Application")
>       .config("spark.master", "local").getOrCreate()
>     spark.sparkContext.setLogLevel("OFF")
>     import spark.implicits._
>     val df = Seq(("abc", 23), ("def", 44), ("n/a", 0)).toDF("ColWith.Dot", "Col.2")
>     df.na.replace("`ColWith.Dot`", Map("n/a" -> "Unknown"))
>       .show()
>   }
> }
> {code}



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