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Posted to issues@beam.apache.org by "Saavan Nanavati (Jira)" <ji...@apache.org> on 2020/08/21 00:45:00 UTC

[jira] [Created] (BEAM-10782) Check that outputs are valid iterables when using the performance runtime type check feature

Saavan Nanavati created BEAM-10782:
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             Summary: Check that outputs are valid iterables when using the performance runtime type check feature
                 Key: BEAM-10782
                 URL: https://issues.apache.org/jira/browse/BEAM-10782
             Project: Beam
          Issue Type: Improvement
          Components: sdk-py-core
            Reporter: Saavan Nanavati


Currently, when using the performance runtime type check feature, you can yield invalid iterables from a DoFn and not have an error thrown. This is incorrect behavior.

 

We should throw a TypeCheckError if the iterable type is any of the following: dict, str, unicode, or bytes. 

 

Previously, we tried doing this isinstance check in process_outputs of common.py, however this harms performance significantly. We should search for a cheaper way to verify that the output type is valid.

 

 



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