Hi,
I have a small graph with about 3.3M vertices and close to 7.5M edges. It's a
pretty innocent graph with the max degree of 8.
Unfortunately, graph.traingleCount is failing on me with the exception below.
I'm running a spark-shell on CDH5.1 with the following params :
SPARK_DRIVER_MEM=10g ADD_JARS=./path/to/my-jar-with-dependencies.jar
SPARK_WORKER_INSTANCES=120 SPARK_WORKER_MEMORY=5g
SPARK_YARN_APP_NAME=VipulsSparkShell MASTER=yarn-client spark-shell
Any clue anyone?
Vipul
14/09/10 16:12:22 INFO cluster.YarnClientClusterScheduler: Stage 80 was
cancelled
14/09/10 16:12:22 INFO scheduler.TaskSetManager: Loss was due to
java.lang.AssertionError: assertion failed [duplicate 8]
14/09/10 16:12:22 WARN scheduler.TaskSetManager: Task 326 was killed.
14/09/10 16:12:22 WARN scheduler.TaskSetManager: Task 325 was killed.
14/09/10 16:12:22 WARN scheduler.TaskSetManager: Task 320 was killed.
14/09/10 16:12:22 WARN scheduler.TaskSetManager: Task 324 was killed.
14/09/10 16:12:22 WARN scheduler.TaskSetManager: Task 322 was killed.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 80.0:6
failed 4 times, most recent failure: Exception failure in TID 321 on host
abc.xyz.com: java.lang.AssertionError: assertion failed
scala.Predef$.assert(Predef.scala:165)
org.apache.spark.graphx.lib.TriangleCount$$anonfun$run$1.apply(TriangleCount.scala:89)
org.apache.spark.graphx.lib.TriangleCount$$anonfun$run$1.apply(TriangleCount.scala:86)
org.apache.spark.graphx.impl.VertexPartitionBaseOps.leftJoin(VertexPartitionBaseOps.scala:125)
org.apache.spark.graphx.VertexRDD$$anonfun$3.apply(VertexRDD.scala:192)
org.apache.spark.graphx.VertexRDD$$anonfun$3.apply(VertexRDD.scala:189)
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:87)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
org.apache.spark.scheduler.Task.run(Task.scala:51)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:744)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
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