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

["Amandeep Sharma (Jira)" <ji...@apache.org>]

Amandeep Sharma created SPARK-34649:
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             Summary: 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


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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