org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 8.0 failed 1 times, most recent failure: Lost task 3.0 in stage 8.0 (TID 35, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main process() File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "/usr/local/lib/python3.5/site-packages/splearn/feature_extraction/text.py", line 289, in <lambda> A = Z.transform(lambda X: list(map(analyze, X)), column='X').persist() File "/usr/local/lib/python3.5/site-packages/sklearn/feature_extraction/text.py", line 238, in <lambda> tokenize(preprocess(self.decode(doc))), stop_words) File "/usr/local/lib/python3.5/site-packages/sklearn/feature_extraction/text.py", line 204, in <lambda> return lambda x: strip_accents(x.lower()) AttributeError: 'numpy.ndarray' object has no attribute 'lower'

GitHub | alonsopg | 6 months ago
  1. 0

    Py4JJavaError while fit_transform(X_rdd)

    GitHub | 6 months ago | alonsopg
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 8.0 failed 1 times, most recent failure: Lost task 3.0 in stage 8.0 (TID 35, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main process() File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "/usr/local/lib/python3.5/site-packages/splearn/feature_extraction/text.py", line 289, in <lambda> A = Z.transform(lambda X: list(map(analyze, X)), column='X').persist() File "/usr/local/lib/python3.5/site-packages/sklearn/feature_extraction/text.py", line 238, in <lambda> tokenize(preprocess(self.decode(doc))), stop_words) File "/usr/local/lib/python3.5/site-packages/sklearn/feature_extraction/text.py", line 204, in <lambda> return lambda x: strip_accents(x.lower()) AttributeError: 'numpy.ndarray' object has no attribute 'lower'
  2. 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
  3. 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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  5. 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
  6. 0

    Py4Java: ImportError: No module named numpy when running Python shell for Apache Spark | Solutions for enthusiast and professional programmers

    fatal-errors.com | 1 year 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

  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 3 in stage 8.0 failed 1 times, most recent failure: Lost task 3.0 in stage 8.0 (TID 35, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last): File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 111, in main process() File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/worker.py", line 106, in process serializer.dump_stream(func(split_index, iterator), outfile) File "/usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "/usr/local/lib/python3.5/site-packages/splearn/feature_extraction/text.py", line 289, in <lambda> A = Z.transform(lambda X: list(map(analyze, X)), column='X').persist() File "/usr/local/lib/python3.5/site-packages/sklearn/feature_extraction/text.py", line 238, in <lambda> tokenize(preprocess(self.decode(doc))), stop_words) File "/usr/local/lib/python3.5/site-packages/sklearn/feature_extraction/text.py", line 204, in <lambda> return lambda x: strip_accents(x.lower()) AttributeError: 'numpy.ndarray' object has no attribute 'lower'

    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$1.<init>(PythonRDD.scala:207)
    3. org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
    4. org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
    5. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    6. org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
    7. org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
    8. org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
    9. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
    10. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
    11. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    12. org.apache.spark.scheduler.Task.run(Task.scala:89)
    13. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    13 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