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https://issues.apache.org/jira/browse/SPARK-34649?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17296717#comment-17296717
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Apache Spark commented on SPARK-34649:
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User 'amandeep-sharma' has created a pull request for this issue:
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
> Priority: Major
>
> 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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