[jira] [Updated] (BEAM-12136) Add deterministic coders for common Python types

["Kenneth Knowles (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-12136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kenneth Knowles updated BEAM-12136:
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This Jira ticket has a pull request attached to it, but is still open. Did the pull request resolve the issue? If so, could you please mark it resolved? This will help the project have a clear view of its open issues.

> Add deterministic coders for common Python types
> ------------------------------------------------
>
>                 Key: BEAM-12136
>                 URL: https://issues.apache.org/jira/browse/BEAM-12136
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Udi Meiri
>            Priority: P3
>              Labels: TFX+Beam, types
>          Time Spent: 3h 40m
>  Remaining Estimate: 0h
>
> FastPrimitivesCodeImpl has "fallback" deterministic encoding of certain types in encode_special_deterministic. This encoding is not as efficient as a type-specific coder (https://github.com/apache/beam/pull/14455).
> This bug is to implement type-specific coders for the types supported in encode_special_deterministic. This method will still handle encoding for cases in which type information is not available, and the new coders will be used where type hints are available.
> Types to implement coders for: enum.Enum, dataclasses.dataclass, collections.namedtuple / typing.NamedTuple (verify there's no conflict/duplication with RowCoder)



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