java.lang.OutOfMemoryError: GC overhead limit exceeded

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    java.lang.OutOfMemoryError: GC overhead limit exceeded

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    Root Cause Analysis

    1. java.lang.OutOfMemoryError

      GC overhead limit exceeded

      at scala.collection.IndexedSeqLike$class.iterator()
    2. Scala
      Iterator$.apply
      1. scala.collection.IndexedSeqLike$class.iterator(IndexedSeqLike.scala:91)
      2. scala.collection.mutable.WrappedArray.iterator(WrappedArray.scala:34)
      3. scala.collection.Iterator$.apply(Iterator.scala:63)
      3 frames
    3. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.util.collection.ExternalAppendOnlyMap.insert(ExternalAppendOnlyMap.scala:105)
      2. org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:93)
      3. org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:44)
      4. org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
      5. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
      6. org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
      7. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
      8. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
      9. org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
      10. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
      11. org.apache.spark.scheduler.Task.run(Task.scala:64)
      12. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
      12 frames
    4. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
      3. java.lang.Thread.run(Thread.java:745)[ERROR]
      3 frames