java.lang.ArrayStoreException: java.lang.Long

Stack Overflow | LearningSlowly | 9 months ago
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    Root Cause Analysis

    1. java.lang.ArrayStoreException

      java.lang.Long

      at scala.runtime.ScalaRunTime$.array_update()
    2. Scala
      ScalaRunTime$.array_update
      1. scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:88)
      1 frame
    3. Spark Project GraphX
      ShippableVertexPartition$$anonfun$apply$5.apply
      1. org.apache.spark.graphx.util.collection.GraphXPrimitiveKeyOpenHashMap.setMerge(GraphXPrimitiveKeyOpenHashMap.scala:87)
      2. org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:61)
      3. org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:60)
      3 frames
    4. Scala
      Iterator$class.foreach
      1. scala.collection.Iterator$class.foreach(Iterator.scala:727)
      1 frame
    5. Spark
      InterruptibleIterator.foreach
      1. org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
      1 frame
    6. Spark Project GraphX
      VertexRDD$$anonfun$2.apply
      1. org.apache.spark.graphx.impl.ShippableVertexPartition$.apply(ShippableVertexPartition.scala:60)
      2. org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:328)
      3. org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:325)
      3 frames
    7. Spark
      RDD.iterator
      1. org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88)
      2. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      3. org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
      4. org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
      4 frames
    8. Spark Project GraphX
      VertexRDD.compute
      1. org.apache.spark.graphx.VertexRDD.compute(VertexRDD.scala:71)
      1 frame
    9. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      2. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      3. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      4. org.apache.spark.scheduler.Task.run(Task.scala:89)
      5. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      5 frames
    10. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames