[SPARK-2292] NullPointerException in JavaPairRDD.mapToPair

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Not A Problem
• Affects Version/s: 1.0.0
• Component/s: Spark Core

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 .

• Assignee: Unassigned
• Reporter: Bharath Ravi Kumar
• Created: 26/Jun/14 15:44
• Updated: 10/Dec/14 07:02
• Resolved: 10/Dec/14 07:02

Description

Correction: Invoking JavaPairRDD.mapToPair results in an NPE:

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)

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

Issue Links

• relates to: SPARK-2075 Anonymous classes are missing from Spark distribution