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Posted to github@beam.apache.org by "shoyer (via GitHub)" <gi...@apache.org> on 2024/11/05 21:43:34 UTC

[I] [Bug]: grouping with numpy.datetime64 keys gives silently incorrect behavior [beam]

shoyer opened a new issue, #33021:
URL: https://github.com/apache/beam/issues/33021

   ### What happened?
   
   All NumPy datetime64 values seem to get mapped to "not a time" (NaT):
   ```
   import numpy as np
   import apache_beam as beam
    
   inputs = [(np.datetime64('2000-01-01'), 'first'), (np.datetime64('2000-01-02'), 'second')]
   print(inputs | beam.GroupByKey())
   # [(numpy.datetime64('NaT'), ['first', 'second'])]
   ```
   
   This looks like potentially the same underlying issue as https://github.com/apache/beam/issues/33020 (incorrect handling of NumPy's int64, which gets mapped to zero)
   
   ### Issue Priority
   
   Priority: 2 (default / most bugs should be filed as P2)
   
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Re: [I] [Bug]: grouping with numpy.datetime64 keys gives silently incorrect behavior [beam]

Posted by "liferoad (via GitHub)" <gi...@apache.org>.
liferoad closed issue #33021: [Bug]: grouping with numpy.datetime64 keys gives silently incorrect behavior
URL: https://github.com/apache/beam/issues/33021


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