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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/06/04 17:13:50 UTC

[GitHub] [beam] damccorm opened a new issue, #20404: Check that DoFn outputs are valid iterables when using the performance runtime type check feature

damccorm opened a new issue, #20404:
URL: https://github.com/apache/beam/issues/20404

   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 accomplishing this using an 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. One possible solution is to only do the isinstance check _if_ the flag is on.
   
    
   
    
   
   Imported from Jira [BEAM-10782](https://issues.apache.org/jira/browse/BEAM-10782). Original Jira may contain additional context.
   Reported by: saavan.


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