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} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org