Amandeep Sharma created SPARK-34649:
---------------------------------------
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}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
