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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2020/12/03 19:25:22 UTC

[GitHub] [beam] TheNeuralBit opened a new pull request #13476: [BEAM-11393] Add (skipped) tests to replicate issue grouping by Series

TheNeuralBit opened a new pull request #13476:
URL: https://github.com/apache/beam/pull/13476


   The PR also includes some other minor changes:
   - Links BEAM-11393 in the error raised when grouping by Series
   - PartitioningSession cleanup
     - moves random state restoration to avoid test_partition_fn consuming random values
     - now always expects Singleton partitioning when input is Singleton (regardless of preserves spec), since it should always be trivially preserved.
   
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[GitHub] [beam] robertwb commented on pull request #13476: [BEAM-11393] Add (skipped) tests to replicate issue grouping by Series

Posted by GitBox <gi...@apache.org>.
robertwb commented on pull request #13476:
URL: https://github.com/apache/beam/pull/13476#issuecomment-864308446


   Is this still relevant? 


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[GitHub] [beam] TheNeuralBit closed pull request #13476: [BEAM-11393] Add (skipped) tests to replicate issue grouping by Series

Posted by GitBox <gi...@apache.org>.
TheNeuralBit closed pull request #13476:
URL: https://github.com/apache/beam/pull/13476


   


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[GitHub] [beam] TheNeuralBit commented on pull request #13476: [BEAM-11393] Add (skipped) tests to replicate issue grouping by Series

Posted by GitBox <gi...@apache.org>.
TheNeuralBit commented on pull request #13476:
URL: https://github.com/apache/beam/pull/13476#issuecomment-864327186


   > Is this still relevant?
   
   Yeah I already added back support for grouping by a Series in https://github.com/apache/beam/pull/14929
   
   I think this test still won't work actually, but I realized the issue exposed by this bug is in aligning a non-unique index. It's not anything inherently wrong with grouping by a series. I commented on BEAM-11393 with an explanation:
   
   > Note pandas also cannot handle this case when the grouping series has a different index. Pandas only works for this example because it can detect they have the same index and it recognizes it doesn't need to do anything to align them.
   > 
   > With better tracking of partitioning we may able to do the same sort of thing.
   
   Let's close this for now, but I'll keep BEAM-11393 open to track the align issue.


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