org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/databricks/spark/python/pyspark/worker.py", line 111, in main process() File "/databricks/spark/python/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/databricks/spark/python/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "<ipython-input-18-9105248af2c0>", line 7, in <lambda> File "<ipython-input-16-880ef66c9ced>", line 2, in simulateLoan File "/databricks/spark/python/pyspark/sql/types.py", line 1259, in __getitem__ raise ValueError(item) ValueError: id

Stack Overflow | octavian | 8 months ago
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  1. 0

    raise ValueError(item) when trying to display table in SparkSQL

    Stack Overflow | 8 months ago | octavian
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/databricks/spark/python/pyspark/worker.py", line 111, in main process() File "/databricks/spark/python/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/databricks/spark/python/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "<ipython-input-18-9105248af2c0>", line 7, in <lambda> File "<ipython-input-16-880ef66c9ced>", line 2, in simulateLoan File "/databricks/spark/python/pyspark/sql/types.py", line 1259, in __getitem__ raise ValueError(item) ValueError: id
  2. 0

    Re: pyspark not working

    incubator-zeppelin-users | 2 years ago | prateek arora
    org.apache.spark.SparkException: Error from python worker: /usr/bin/python: No module named pyspark PYTHONPATH was: /yarn/nm/usercache/ubuntu/filecache/80/zeppelin-spark-0.5.0-incubating-SNAPSHOT.jar:/usr/local/spark-1.3.1-bin-hadoop2.6/python:/usr/local/spark-1.3.1-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip java.io.EOFException at java.io.DataInputStream.readInt(DataInputStream.java:392) at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163)
  3. 0

    Py4Java: ImportError: No module named numpy when running Python shell for Apache Spark

    Stack Overflow | 2 years ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 0.0 failed 1 times, most recent failure: Lost task 3.0 in stage 0.0 (TID 3, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/Users/m/workspace/spark-1.2.0-bin-hadoop2.4/python/pyspark/worker.py", line 90, in main command = pickleSer._read_with_length(infile) File "/Users/m/workspace/spark-1.2.0-bin-hadoop2.4/python/pyspark/serializers.py", line 151, in _read_with_length return self.loads(obj) File "/Users/m/workspace/spark-1.2.0-bin-hadoop2.4/python/pyspark/serializers.py", line 396, in loads return cPickle.loads(obj) File "/Users/m/workspace/spark-1.2.0-bin-hadoop2.4/python/pyspark/mllib/__init__.py", line 24, in <module> import numpy ImportError: No module named numpy
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  5. 0

    Why does Apache PySpark top() fail when the RDD contains a user defined class?

    Stack Overflow | 2 years ago | user3279453
    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
  6. 0

    Spark Streaming Kafka - Job always quits when RDD contains an actual message

    Stack Overflow | 2 years ago | CruLPlay
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 4.0 failed 1 times, most recent failure: Lost task 1.0 in stage 4.0 (TID 9, localhost): org.apache.spark.util.TaskCompletionListenerException

  1. tyson925 2 times, last 10 months ago
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Root Cause Analysis

  1. org.apache.spark.SparkException

    Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/databricks/spark/python/pyspark/worker.py", line 111, in main process() File "/databricks/spark/python/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/databricks/spark/python/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "<ipython-input-18-9105248af2c0>", line 7, in <lambda> File "<ipython-input-16-880ef66c9ced>", line 2, in simulateLoan File "/databricks/spark/python/pyspark/sql/types.py", line 1259, in __getitem__ raise ValueError(item) ValueError: id

    at org.apache.spark.api.python.PythonRunner$$anon$1.read()
  2. Spark
    Executor$TaskRunner.run
    1. org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
    2. org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
    3. org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
    4. org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
    5. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    6. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    7. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    8. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    9. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    10. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    11. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    12. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    13. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    14. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    15. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    16. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    17. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    18. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    19. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:72)
    20. org.apache.spark.scheduler.Task.run(Task.scala:96)
    21. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:222)
    21 frames
  3. 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