[jira] [Created] (SPARK-16571) DataFrame repartition leads to unexpected error during shuffle

[JIRA]

Björn-Elmar Macek created SPARK-16571:
-----------------------------------------
             Summary: DataFrame repartition leads to unexpected error during 
shuffle
                 Key: SPARK-16571
                 URL: https://issues.apache.org/jira/browse/SPARK-16571
             Project: Spark
          Issue Type: Bug
          Components: Shuffle
    Affects Versions: 1.6.1
            Reporter: Björn-Elmar Macek


When executing the following code, an exception is thrown.

{code}
val finalProbabilityProxiesDF = 
sqlc.sql(app2AgeNormalissationQuery(transformedAppsCol, bucketedAgeCol, 
probProxyCol, normFacCol, ageFeatureRawTable, normFactorsTableName, 
ageApp2AgeProxyTableName)).repartition(10)


    //sort the stats
    val finalFeatMap = finalProbabilityProxiesDF.select(transformedAppsCol, 
probProxyCol).map{ row =>
      val probs = 
row.getAs[mutable.WrappedArray[util.ArrayList[Double]]](1).map(array => 
(array.get(0),array.get(1))).toArray
      val bucketsExist = probs.map(_._1)
      val allBuckets = ageCol match {
        case "label" => (0 to ageSplits.size - 1).map(_.toDouble)
        case "age" => (1 to ageSplits.size - 2).map(_.toDouble)
      }

      val missingBuckets = allBuckets.diff(bucketsExist).map{(_, 0.0)}
      val fixedProbs = probs ++ missingBuckets
      val filteredFixedProbs = ageCol match {
        case "label" => fixedProbs
        case "age" => fixedProbs.filter(_._1 != 0.0).map(elem => (elem._1 - 
1.0, elem._2))
      }

      val sortedProbs = filteredFixedProbs.sortWith( _._1 < _._1 )
      (row.getInt(0), sortedProbs)
    }
{/code}

The stacktrace shows:
{code}
java.lang.ClassCastException: java.util.ArrayList cannot be cast to 
java.lang.Double
        at scala.runtime.BoxesRunTime.unboxToDouble(BoxesRunTime.java:114)
        at 
org.apache.spark.sql.catalyst.util.GenericArrayData.getDouble(GenericArrayData.scala:53)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
 Source)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
 Source)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:370)
        at 
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:149)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
{/code}

If i remove the repartition from  finalProbabilityProxiesDF the code runs 
without problems.

I am unsure about the reasons tho. This should not happen should it?



--
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