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.util.TaskCompletionListenerException: Found unrecoverable error [127.0.0.1:9200] returned Bad Request(400) - failed to parse [foo_eff_dt];Invalid format: ""; Bailing out..

Stack Overflow | ZeroGraviti | 8 months ago
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    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.util.TaskCompletionListenerException: Found unrecoverable error [127.0.0.1:9200] returned Bad Request(400) - failed to parse [foo_eff_dt];Invalid format: ""; Bailing out..
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    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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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.util.TaskCompletionListenerException: Found unrecoverable error [127.0.0.1:9200] returned Bad Request(400) - failed to parse [foo_eff_dt];Invalid format: ""; Bailing out..

    at org.apache.spark.TaskContextImpl.markTaskCompleted()
  2. Spark
    Executor$TaskRunner.run
    1. org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:87)
    2. org.apache.spark.scheduler.Task.run(Task.scala:90)
    3. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    3 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