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From "Mingyu Kim (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-2292) NullPointerException in JavaPairRDD.mapToPair
Date Sat, 28 Jun 2014 07:25:24 GMT

    [ https://issues.apache.org/jira/browse/SPARK-2292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14046791#comment-14046791
] 

Mingyu Kim commented on SPARK-2292:
-----------------------------------

Given that this was added to better support lambda functions better, can this be a Java version
issue? Which version of Java did you guys use? I'm using Java 7.

> NullPointerException in JavaPairRDD.mapToPair
> ---------------------------------------------
>
>                 Key: SPARK-2292
>                 URL: https://issues.apache.org/jira/browse/SPARK-2292
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.0.0
>         Environment: Spark 1.0.0, Standalone with the master & single slave running
on Ubuntu on a laptop. 4G mem and 8 cores were available to the executor .
>            Reporter: Bharath Ravi Kumar
>            Priority: Critical
>         Attachments: SPARK-2292-aash-repro.tar.gz
>
>
> Correction: Invoking JavaPairRDD.mapToPair results in an NPE:
> {noformat}
> 14/06/26 21:05:35 WARN scheduler.TaskSetManager: Loss was due to java.lang.NullPointerException
> java.lang.NullPointerException
> 	at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:750)
> 	at org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:750)
> 	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> 	at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:59)
> 	at org.apache.spark.rdd.PairRDDFunctions$$anonfun$1.apply(PairRDDFunctions.scala:96)
> 	at org.apache.spark.rdd.PairRDDFunctions$$anonfun$1.apply(PairRDDFunctions.scala:95)
> 	at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:582)
> 	at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:582)
> 	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:51)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> 	at java.lang.Thread.run(Thread.java:722)
> {noformat}
>  This occurs only after migrating to the 1.0.0 API. The details of the code the data
file used to test are included in this gist : https://gist.github.com/reachbach/d8977c8eb5f71f889301



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