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https://issues.apache.org/jira/browse/BEAM-10782?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17225566#comment-17225566
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Beam JIRA Bot commented on BEAM-10782:
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This issue was marked "stale-P2" and has not received a public comment in 14
days. It is now automatically moved to P3. If you are still affected by it, you
can comment and move it back to P2.
> Check that DoFn 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
> Priority: P3
>
> 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.
>
>
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