org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 7.0 failed 4 times, most recent failure: Lost task 0.3 in stage 7.0 (TID 19, dlladatanaly02.orona.es): org.apache.spark.api.python. PythonException: Traceback (most recent call last): File "/usr/hdp/current/spark-client/python/pyspark/worker.py", line 111, in main process() File "/usr/hdp/current/spark-client/python/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/usr/hdp/current/spark-client/python/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "/usr/hdp/current/spark-client/python/pyspark/rdd.py", line 1293, in takeUpToNumLeft yield next(iterator) File "<string>", line 9, in <lambda> File "/usr/hdp/current/spark-client/python/pyspark/mllib/regression.py", line 52, in __init__ self.features = _convert_to_vector(features) File "/usr/hdp/current/spark-client/python/pyspark/mllib/linalg/__init__.py", line 71, in _convert_to_vector return DenseVector(l) File "/usr/hdp/current/spark-client/python/pyspark/mllib/linalg/__init__.py", line 274, in __init__ ar = np.array(ar, dtype=np.float64) ValueError: setting an array element with a sequence.

Stack Overflow | jartymcfly | 5 months ago
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  1. 0

    How could I train a model in SPARK with MLlib with a Dataframe of String values?

    Stack Overflow | 5 months ago | jartymcfly
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 7.0 failed 4 times, most recent failure: Lost task 0.3 in stage 7.0 (TID 19, dlladatanaly02.orona.es): org.apache.spark.api.python. PythonException: Traceback (most recent call last): File "/usr/hdp/current/spark-client/python/pyspark/worker.py", line 111, in main process() File "/usr/hdp/current/spark-client/python/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/usr/hdp/current/spark-client/python/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "/usr/hdp/current/spark-client/python/pyspark/rdd.py", line 1293, in takeUpToNumLeft yield next(iterator) File "<string>", line 9, in <lambda> File "/usr/hdp/current/spark-client/python/pyspark/mllib/regression.py", line 52, in __init__ self.features = _convert_to_vector(features) File "/usr/hdp/current/spark-client/python/pyspark/mllib/linalg/__init__.py", line 71, in _convert_to_vector return DenseVector(l) File "/usr/hdp/current/spark-client/python/pyspark/mllib/linalg/__init__.py", line 274, in __init__ ar = np.array(ar, dtype=np.float64) ValueError: setting an array element with a sequence.
  2. 0

    convert xlsx file to csv pyspark (possible ?)

    Stack Overflow | 2 months ago | tigi
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 103.0 failed 4 times, most recent failure: Lost task 0.3 in stage 103.0 (TID 477, sandbox.hortonworks.com): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/usr/hdp/current/spark-client/python/pyspark/worker.py", line 111, in main process() File "/usr/hdp/current/spark-client/python/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/usr/hdp/current/spark-client/python/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "<string>", line 12, in <lambda> File "/usr/lib/python2.6/site-packages/xlsx2csv-0.7.2-py2.6.egg/xlsx2csv.py", line 182, in convert self._convert(sheetid, outfile) File "/usr/lib/python2.6/site-packages/xlsx2csv-0.7.2-py2.6.egg/xlsx2csv.py", line 235, in _convert writer = csv.writer(outfile, quoting=csv.QUOTE_MINIMAL, delimiter=self.options['delimiter'], lineterminator=os.linesep) TypeError: argument 1 must have a "write" method
  3. 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)
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  5. 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
  6. 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

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Root Cause Analysis

  1. org.apache.spark.SparkException

    Job aborted due to stage failure: Task 0 in stage 7.0 failed 4 times, most recent failure: Lost task 0.3 in stage 7.0 (TID 19, dlladatanaly02.orona.es): org.apache.spark.api.python. PythonException: Traceback (most recent call last): File "/usr/hdp/current/spark-client/python/pyspark/worker.py", line 111, in main process() File "/usr/hdp/current/spark-client/python/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/usr/hdp/current/spark-client/python/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "/usr/hdp/current/spark-client/python/pyspark/rdd.py", line 1293, in takeUpToNumLeft yield next(iterator) File "<string>", line 9, in <lambda> File "/usr/hdp/current/spark-client/python/pyspark/mllib/regression.py", line 52, in __init__ self.features = _convert_to_vector(features) File "/usr/hdp/current/spark-client/python/pyspark/mllib/linalg/__init__.py", line 71, in _convert_to_vector return DenseVector(l) File "/usr/hdp/current/spark-client/python/pyspark/mllib/linalg/__init__.py", line 274, in __init__ ar = np.array(ar, dtype=np.float64) ValueError: setting an array element with a sequence.

    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$1.<init>(PythonRDD.scala:207)
    3. org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
    4. org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
    5. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
    6. org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
    7. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    8. org.apache.spark.scheduler.Task.run(Task.scala:89)
    9. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
    9 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