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From "Shishir Kharel (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-15570) Pregel functions fail when run multiple times in the same jvm using sequence of graphs
Date Thu, 26 May 2016 17:59:12 GMT
Shishir Kharel created SPARK-15570:
--------------------------------------

             Summary: Pregel functions fail when run multiple times in the same jvm using
sequence of graphs
                 Key: SPARK-15570
                 URL: https://issues.apache.org/jira/browse/SPARK-15570
             Project: Spark
          Issue Type: Bug
    Affects Versions: 1.6.0
         Environment: Windows, Unix
            Reporter: Shishir Kharel
            Priority: Minor


I am using sbt's test-only option to test specific test suites. When testing the pregel functions,
like connectedComponents, shortestPath in a sqeuence of graphs it passes the first time. When
I try running it again, it fails and gives a null pointer exception. The code I am using to
test is shown below. 

{code:title=GraphXBugTest.scala|borderStyle=solid}
before {
    if (ProgramContext.sc == null) {
      Logger.getLogger("org").setLevel(Level.OFF)
      Logger.getLogger("akka").setLevel(Level.OFF)
      val conf = new SparkConf().setAppName("Project").setSparkHome(System.getenv("SPARK_HOME")).setMaster("local[2]")
      val sc = new SparkContext(conf)
      ProgramContext.setContext(sc)
    }
  }
test("shortestPath"){
    val landmarks = Seq(1, 4).map(_.toLong)

    val shortestPaths = Set(
      (1, Map(1 -> 0, 4 -> 2)), (2, Map(1 -> 1, 4 -> 2)), (3, Map(1 -> 2, 4
-> 1)),
      (4, Map(1 -> 2, 4 -> 0)), (5, Map(1 -> 1, 4 -> 1)), (6, Map(1 -> 3, 4
-> 1)))
    val edgeSeq = Seq((1, 2), (1, 5), (2, 3), (2, 5), (3, 4), (4, 5), (4, 6)).flatMap {
      case e => Seq(e, e.swap)
    }
    val edges = ProgramContext.sc.parallelize(edgeSeq).map { case (v1, v2) => (v1.toLong,
v2.toLong) }
    val graph = Graph.fromEdgeTuples(edges, 1)

    val graphs: ParSeq[Graph[Int, Int]] = ParSeq(graph)
    graphs.foreach(x => ShortestPaths.run(x, landmarks))
  }
}
{code}


The error message is shown below.

[info] - shortestPath *** FAILED ***
[info]   org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage
2.0 failed 1 times, most r
ecent failure: Lost task 0.0 in stage 2.0 (TID 4, localhost): java.lang.NullPointerException
[info]  at org.apache.spark.graphx.lib.ShortestPaths$.incrementMap(ShortestPaths.scala:33)
[info]  at org.apache.spark.graphx.lib.ShortestPaths$.org$apache$spark$graphx$lib$ShortestPaths$$sendMessage$1(Shortes
tPaths.scala:64)
[info]  at org.apache.spark.graphx.lib.ShortestPaths$$anonfun$run$2.apply(ShortestPaths.scala:69)
[info]  at org.apache.spark.graphx.lib.ShortestPaths$$anonfun$run$2.apply(ShortestPaths.scala:69)
[info]  at org.apache.spark.graphx.impl.GraphImpl.org$apache$spark$graphx$impl$GraphImpl$$sendMsg$1(GraphImpl.scala:19
7)
[info]  at org.apache.spark.graphx.impl.GraphImpl$$anonfun$mapReduceTriplets$1.apply(GraphImpl.scala:213)
[info]  at org.apache.spark.graphx.impl.GraphImpl$$anonfun$mapReduceTriplets$1.apply(GraphImpl.scala:213)
[info]  at org.apache.spark.graphx.impl.EdgePartition.aggregateMessagesEdgeScan(EdgePartition.scala:409)
[info]  at org.apache.spark.graphx.impl.GraphImpl$$anonfun$13$$anonfun$apply$3.apply(GraphImpl.scala:265)
[info]  at org.apache.spark.graphx.impl.GraphImpl$$anonfun$13$$anonfun$apply$3.apply(GraphImpl.scala:235)
[info]  at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
[info]  at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
[info]  at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
[info]  at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
[info]  at org.apache.spark.scheduler.Task.run(Task.scala:89)
[info]  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
[info]  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
[info]  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
[info]  at java.lang.Thread.run(Thread.java:745)
[info]
[info] Driver stacktrace:
[info]   at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStag
es(DAGScheduler.scala:1431)
[info]   at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
[info]   at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
[info]   at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
[info]   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
[info]   at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
[info]   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
[info]   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
[info]   at scala.Option.foreach(Option.scala:236)
[info]   at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
[info]   ...
[info]   Cause: java.lang.NullPointerException:
[info]   at org.apache.spark.graphx.lib.ShortestPaths$.incrementMap(ShortestPaths.scala:33)
[info]   at org.apache.spark.graphx.lib.ShortestPaths$.org$apache$spark$graphx$lib$ShortestPaths$$sendMessage$1(Shorte
stPaths.scala:64)
[info]   at org.apache.spark.graphx.lib.ShortestPaths$$anonfun$run$2.apply(ShortestPaths.scala:69)
[info]   at org.apache.spark.graphx.lib.ShortestPaths$$anonfun$run$2.apply(ShortestPaths.scala:69)
[info]   at org.apache.spark.graphx.impl.GraphImpl.org$apache$spark$graphx$impl$GraphImpl$$sendMsg$1(GraphImpl.scala:1
97)
[info]   at org.apache.spark.graphx.impl.GraphImpl$$anonfun$mapReduceTriplets$1.apply(GraphImpl.scala:213)
[info]   at org.apache.spark.graphx.impl.GraphImpl$$anonfun$mapReduceTriplets$1.apply(GraphImpl.scala:213)
[info]   at org.apache.spark.graphx.impl.EdgePartition.aggregateMessagesEdgeScan(EdgePartition.scala:409)
[info]   at org.apache.spark.graphx.impl.GraphImpl$$anonfun$13$$anonfun$apply$3.apply(GraphImpl.scala:265)
[info]   at org.apache.spark.graphx.impl.GraphImpl$$anonfun$13$$anonfun$apply$3.apply(GraphImpl.scala:235)
[info]   ...



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