You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "Ankur Goenka (Jira)" <ji...@apache.org> on 2019/09/13 02:02:00 UTC

[jira] [Created] (BEAM-8226) Python Streaming Pipeline getting stuck in dataflow

Ankur Goenka created BEAM-8226:
----------------------------------

             Summary: Python Streaming Pipeline getting stuck in dataflow
                 Key: BEAM-8226
                 URL: https://issues.apache.org/jira/browse/BEAM-8226
             Project: Beam
          Issue Type: Bug
          Components: sdk-java-harness, sdk-py-harness
            Reporter: Ankur Goenka


Python streaming pipeline are getting stuck with following error when runing on dataflow

 

Relevant thread stack
--- Threads (4): [Thread[Thread-19,1,main], Thread[Thread-20,1,main], Thread[Thread-21,1,main], Thread[Thread-22,1,main]] State: WAITING stack: ---
  sun.misc.Unsafe.park(Native Method)
  java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
  java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)
  org.apache.beam.runners.dataflow.worker.fn.data.RemoteGrpcPortWriteOperation.maybeWait(RemoteGrpcPortWriteOperation.java:175)
  org.apache.beam.runners.dataflow.worker.fn.data.RemoteGrpcPortWriteOperation.process(RemoteGrpcPortWriteOperation.java:196)
  org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
  org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
  org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
  org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
  org.apache.beam.runners.dataflow.worker.fn.control.BeamFnMapTaskExecutor.execute(BeamFnMapTaskExecutor.java:125)
  org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1316)
  org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:149)
  org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:1049)
  java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
  java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
  java.lang.Thread.run(Thread.java:745)

For Python
--- Thread #139819623634688 name: ThreadPoolExecutor-1_0 ---
  File "/usr/local/lib/python3.6/threading.py", line 884, in _bootstrap
    self._bootstrap_inner()
  File "/usr/local/lib/python3.6/threading.py", line 916, in _bootstrap_inner
    self.run()
  File "/usr/local/lib/python3.6/threading.py", line 864, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/local/lib/python3.6/concurrent/futures/thread.py", line 69, in _worker
    work_item.run()
  File "/usr/local/lib/python3.6/concurrent/futures/thread.py", line 56, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/usr/local/lib/python3.6/site-packages/apache_beam/runners/worker/sdk_worker.py", line 191, in task
    self._execute(lambda: worker.do_instruction(work), work)
  File "/usr/local/lib/python3.6/site-packages/apache_beam/runners/worker/sdk_worker.py", line 158, in _execute
    response = task()
  File "/usr/local/lib/python3.6/site-packages/apache_beam/runners/worker/sdk_worker.py", line 191, in <lambda>
    self._execute(lambda: worker.do_instruction(work), work)
  File "/usr/local/lib/python3.6/site-packages/apache_beam/runners/worker/sdk_worker.py", line 343, in do_instruction
    request.instruction_id)
  File "/usr/local/lib/python3.6/site-packages/apache_beam/runners/worker/sdk_worker.py", line 369, in process_bundle
    bundle_processor.process_bundle(instruction_id))
  File "/usr/local/lib/python3.6/site-packages/apache_beam/runners/worker/bundle_processor.py", line 661, in process_bundle
    instruction_id, expected_transforms):
  File "/usr/local/lib/python3.6/site-packages/apache_beam/runners/worker/data_plane.py", line 213, in input_elements
    data = received.get(timeout=1)
  File "/usr/local/lib/python3.6/queue.py", line 173, in get
    self.not_empty.wait(remaining)
  File "/usr/local/lib/python3.6/threading.py", line 299, in wait
    gotit = waiter.acquire(True, timeout)



--
This message was sent by Atlassian Jira
(v8.3.2#803003)