[
https://issues.apache.org/jira/browse/BEAM-8226?focusedWorklogId=313377&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-313377
]
ASF GitHub Bot logged work on BEAM-8226:
----------------------------------------
Author: ASF GitHub Bot
Created on: 17/Sep/19 00:41
Start Date: 17/Sep/19 00:41
Worklog Time Spent: 10m
Work Description: markflyhigh commented on issue #9587: [BEAM-8226] Alter
getInputElementsConsumed computation for monitoring…
URL: https://github.com/apache/beam/pull/9587#issuecomment-532010973
Java precommit failures may related to Dataflow service. The change is
tested in https://github.com/apache/beam/pull/9571 will all tests passed. I'll
go ahead and cherry-pick to release branch.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 313377)
Time Spent: 1h 40m (was: 1.5h)
> 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
> Assignee: Yichi Zhang
> Priority: Blocker
> Fix For: 2.16.0
>
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
> 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)
