[jira] [Created] (SPARK-6999) infinite recursion with createDataFrame(JavaRDD[Row], java.util.List[String])

["Justin Uang (JIRA)" <ji...@apache.org>]

Justin Uang created SPARK-6999:
----------------------------------

             Summary: infinite recursion with createDataFrame(JavaRDD[Row], java.util.List[String])
                 Key: SPARK-6999
                 URL: https://issues.apache.org/jira/browse/SPARK-6999
             Project: Spark
          Issue Type: Bug
    Affects Versions: 1.3.0
            Reporter: Justin Uang


It looks like 

{code}
  def createDataFrame(rowRDD: JavaRDD[Row], columns: java.util.List[String]): DataFrame = {
    createDataFrame(rowRDD.rdd, columns.toSeq)
  }
{code}

is in fact an infinite recursion because it calls itself. Scala implicit conversions convert the arguments back into a JavaRDD and a java.util.List.

{code}
15/04/19 16:51:24 INFO BlockManagerMaster: Trying to register BlockManager
15/04/19 16:51:24 INFO BlockManagerMasterActor: Registering block manager localhost:53711 with 1966.1 MB RAM, BlockManagerId(<driver>, localhost, 53711)
15/04/19 16:51:24 INFO BlockManagerMaster: Registered BlockManager
Exception in thread "main" java.lang.StackOverflowError
    at scala.collection.mutable.AbstractSeq.<init>(Seq.scala:47)
    at scala.collection.mutable.AbstractBuffer.<init>(Buffer.scala:48)
    at scala.collection.convert.Wrappers$JListWrapper.<init>(Wrappers.scala:84)
    at scala.collection.convert.WrapAsScala$class.asScalaBuffer(WrapAsScala.scala:127)
    at scala.collection.JavaConversions$.asScalaBuffer(JavaConversions.scala:53)
    at org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:408)
    at org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:408)
    at org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:408)
    at org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:408)j
{code}



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