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From "Ivan Tsukanov (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-25987) StackOverflowError when executing many operations on a table with many columns
Date Fri, 09 Nov 2018 05:31:00 GMT
Ivan Tsukanov created SPARK-25987:
-------------------------------------

             Summary: StackOverflowError when executing many operations on a table with many
columns
                 Key: SPARK-25987
                 URL: https://issues.apache.org/jira/browse/SPARK-25987
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.3.2, 2.3.0, 2.2.2, 2.2.1
         Environment: Ubuntu 18.04.1 LTS, openjdk "1.8.0_181"
            Reporter: Ivan Tsukanov


When I execute

 
{code:java}
val columnsCount = 100
val columns = (1 to columnsCount).map(i => s"col$i")
val initialData = (1 to columnsCount).map(i => s"val$i")

val df = sparkSession.createDataFrame(
  rowRDD = sparkSession.sparkContext.makeRDD(Seq(Row.fromSeq(initialData))),
  schema = StructType(columns.map(StructField(_, StringType, true)))
)

val addSuffixUDF = udf(
  (str: String) => str + "_added"
)

implicit class DFOps(df: DataFrame) {
  def addSuffix() = {
    df.select(columns.map(col =>
      addSuffixUDF(df(col)).as(col)
    ): _*)
  }
}

df
  .addSuffix()
  .addSuffix()
  .addSuffix()
  .show()
{code}
I get

 

 
{code:java}
An exception or error caused a run to abort.
java.lang.StackOverflowError
 at org.codehaus.janino.CodeContext.flowAnalysis(CodeContext.java:385)
 at org.codehaus.janino.CodeContext.flowAnalysis(CodeContext.java:553)
...
{code}
If I reduce columns number (to 10 for example) or do `addSuffix` only once - it works fine.

 



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