org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, localhost): org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 0.0 failed 1 times, most recent failure: Lost task 1.0 in stage 0.0 (TID 1, localhost): java.lang.ClassCastException: org.elasticsearch.spark.rdd.EsPartition incompatible with org.apache.spark.rdd.ParallelCollectionPartition

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    org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 49.0 failed 1 times, most recent failure: Lost task 1.0 in stage 49.0 (TID 99, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "C:\Programs\Apache\Spark\spark-1.2.0-bin-hadoop2.4\python\pyspark\worker.py", line 107, in main process() File "C:\Programs\Apache\Spark\spark-1.2.0-bin-hadoop2.4\python\pyspark\worker.py", line 98, in process serializer.dump_stream(func(split_index, iterator), outfile) File "C:\Programs\Apache\Spark\spark-1.2.0-bin-hadoop2.4\python\pyspark\serializers.py", line 231, in dump_stream bytes = self.serializer.dumps(vs) File "C:\Programs\Apache\Spark\spark-1.2.0-bin-hadoop2.4\python\pyspark\serializers.py", line 393, in dumps return cPickle.dumps(obj, 2) PicklingError: Can't pickle <class '__main__.TestClass'>: attribute lookup __main__.TestClass failed
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  1. tyson925 2 times, last 7 months ago
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Root Cause Analysis

  1. org.apache.spark.SparkException

    Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, localhost): org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 0.0 failed 1 times, most recent failure: Lost task 1.0 in stage 0.0 (TID 1, localhost): java.lang.ClassCastException: org.elasticsearch.spark.rdd.EsPartition incompatible with org.apache.spark.rdd.ParallelCollectionPartition

    at org.apache.spark.rdd.ParallelCollectionRDD.compute()
  2. Spark
    Executor$TaskRunner.run
    1. org.apache.spark.rdd.ParallelCollectionRDD.compute(ParallelCollectionRDD.scala:102)
    2. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    3. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    4. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    5. org.apache.spark.scheduler.Task.run(Task.scala:89)
    6. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    6 frames
  3. Java RT
    Thread.run
    1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1157)
    2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:627)
    3. java.lang.Thread.run(Thread.java:798)
    3 frames