[jira] [Commented] (BEAM-13905) Apache Beam Python: Dataframe Transforms break when the option runtime_type_check is enabled.

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-13905?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17505861#comment-17505861 ] 

Beam JIRA Bot commented on BEAM-13905:
--------------------------------------

This issue is assigned but has not received an update in 30 days so it has been labeled "stale-assigned". If you are still working on the issue, please give an update and remove the label. If you are no longer working on the issue, please unassign so someone else may work on it. In 7 days the issue will be automatically unassigned.

> Apache Beam Python: Dataframe Transforms break when the option runtime_type_check is enabled.
> ---------------------------------------------------------------------------------------------
>
>                 Key: BEAM-13905
>                 URL: https://issues.apache.org/jira/browse/BEAM-13905
>             Project: Beam
>          Issue Type: Bug
>          Components: dsl-dataframe
>    Affects Versions: 2.35.0
>         Environment: OS: Linux
> Python 3.8.12
>            Reporter: Benoit Clennett-Sirois
>            Assignee: Brian Hulette
>            Priority: P2
>              Labels: stale-assigned
>             Fix For: 2.38.0
>
>
> We have discovered a potential bug whereas when you execute a pipeline that contains
> a DataframeTransform with the "runtime_type_check" option set to True, a cryptic
> error is raised by Apache Beam typecheckng.
> Simple example to reproduce the bug:
>     
> {code:java}
> from apache_beam.options.pipeline_options import PipelineOptions
> from apache_beam import Pipeline, Create, Row
> from apache_beam.dataframe.transforms import DataframeTransform
> pipeline = Pipeline(options=PipelineOptions(runtime_type_check=True))
> pipeline | Create([Row(val1=1)]) | DataframeTransform(lambda df: df)
> pipeline.run(){code}
> This raises a apache_beam.typehints.decorators.TypeCheckError:
> {code:java}
> File ".....lib/python3.8/site-packages/apache_beam/typehints/typehints.py", line 416, in check_constraint
>     raise SimpleTypeHintError
> apache_beam.typehints.decorators.TypeCheckError: According to type-hint expected output should be of type <class 'apache_beam.typehints.schemas.BeamSchema_118086df_671f_4643_a929_ba65de48e7e8'>. Instead, received 'BeamSchema_118086df_671f_4643_a929_ba65de48e7e8(val1=1)', an instance of type <class 'apache_beam.typehints.schemas.BeamSchema_118086df_671f_4643_a929_ba65de48e7e8'>. [while running 'DataframeTransform/Unbatch 'placeholder_DataFrame_140623617251840'/ParDo(_UnbatchNoIndex)'] {code}
>  



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