[jira] [Commented] (BEAM-3757) Shuffle read failed using python 2.2.0

["Jonathan Delfour (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-3757?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16383846#comment-16383846 ] 

Jonathan Delfour commented on BEAM-3757:
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I have created a support ticket with google team, they confirm it is not isolated and are investigating.
Feel free to close this one, i believe they will contact you should there be an issue with beam itself.

> Shuffle read failed using python 2.2.0
> --------------------------------------
>
>                 Key: BEAM-3757
>                 URL: https://issues.apache.org/jira/browse/BEAM-3757
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-dataflow
>    Affects Versions: 2.2.0
>         Environment: gcp, macos
>            Reporter: Jonathan Delfour
>            Assignee: Thomas Groh
>            Priority: Major
>
> Hi,
> First issue is that the beam 2.3.0 python SDK is apparently not working on GCP. It gets stuck: 
> {noformat}
> Workflow failed. Causes: (bf832d44290fbf41): The Dataflow appears to be stuck. You can get help with Cloud Dataflow at https://cloud.google.com/dataflow/support. 
> {noformat}
> I tried two times.
> Reverting back to 2.2.0: it usually works but today, after > 1 hour of processing, and 30 workers used, I get a failure with these in the logs:
> {noformat}
> Traceback (most recent call last):
>   File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 582, in do_work
>     work_executor.execute()
>   File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/executor.py", line 167, in execute
>     op.start()
>   File "dataflow_worker/shuffle_operations.py", line 49, in dataflow_worker.shuffle_operations.GroupedShuffleReadOperation.start
>     def start(self):
>   File "dataflow_worker/shuffle_operations.py", line 50, in dataflow_worker.shuffle_operations.GroupedShuffleReadOperation.start
>     with self.scoped_start_state:
>   File "dataflow_worker/shuffle_operations.py", line 65, in dataflow_worker.shuffle_operations.GroupedShuffleReadOperation.start
>     with self.shuffle_source.reader() as reader:
>   File "dataflow_worker/shuffle_operations.py", line 67, in dataflow_worker.shuffle_operations.GroupedShuffleReadOperation.start
>     for key_values in reader:
>   File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/shuffle.py", line 406, in __iter__
>     for entry in entries_iterator:
>   File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/shuffle.py", line 248, in next
>     return next(self.iterator)
>   File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/shuffle.py", line 206, in __iter__
>     chunk, next_position = self.reader.Read(start_position, end_position)
>   File "third_party/windmill/shuffle/python/shuffle_client.pyx", line 138, in shuffle_client.PyShuffleReader.Read
> IOError: Shuffle read failed: INTERNAL: Received RST_STREAM with error code 2  talking to my-dataflow-02271107-756f-harness-2p65:12346
> {noformat}
> i also get some information message:
> {noformat}
> Refusing to split <dataflow_worker.shuffle.GroupedShuffleRangeTracker object at 0x7f03a00fe790> at '\x00\x00\x00\t\x1d\x14\x87\xa3\x00\x01': unstarted
> {noformat}
> For the flow, I am extracting data from BQ, cleaning using pandas, exporting as a csv file, gzipping and uploading the compressed file to a bucket using decompressive transcoding (csv export, gzip compression and upload are in the same 'worker' as they are done in the same beam.DoFn).
> PS: i can't find a reasonable way to export the logs from GCP but i can privately send the log file i have of the run on my machine (the log of the pipeline)



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