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https://issues.apache.org/jira/browse/BEAM-10708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17409004#comment-17409004
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Chamikara Madhusanka Jayalath commented on BEAM-10708:
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Thanks for the update [~ningk]. It's great to know that the InteractiveRunner 
now supports the SQL transform.

Is there a plan to move out of Runner API from/to round trip in general ? I 
think it happens to work for most transforms in Python SDK by accident and 
there's no guarantee that a given transform will support this in a given 
environment (and cross-language transforms definitely do not support this).

 

cc: [~robertwb]

> InteractiveRunner cannot execute pipeline with cross-language transform
> -----------------------------------------------------------------------
>
>                 Key: BEAM-10708
>                 URL: https://issues.apache.org/jira/browse/BEAM-10708
>             Project: Beam
>          Issue Type: Bug
>          Components: cross-language
>            Reporter: Brian Hulette
>            Assignee: Ning
>            Priority: P2
>          Time Spent: 30h 50m
>  Remaining Estimate: 0h
>
> The InteractiveRunner crashes when given a pipeline that includes a 
> cross-language transform.
> Here's the example I tried to run in a jupyter notebook:
> {code:python}
> p = beam.Pipeline(InteractiveRunner())
> pc = (p | SqlTransform("""SELECT
>             CAST(1 AS INT) AS `id`,
>             CAST('foo' AS VARCHAR) AS `str`,
>             CAST(3.14  AS DOUBLE) AS `flt`"""))
> df = interactive_beam.collect(pc)
> {code}
> The problem occurs when 
> [pipeline_fragment.py|https://github.com/apache/beam/blob/dce1eb83b8d5137c56ac58568820c24bd8fda526/sdks/python/apache_beam/runners/interactive/pipeline_fragment.py#L66]
>  creates a copy of the pipeline by [writing it to proto and reading it 
> back|https://github.com/apache/beam/blob/dce1eb83b8d5137c56ac58568820c24bd8fda526/sdks/python/apache_beam/runners/interactive/pipeline_fragment.py#L120].
>  Reading it back fails because some of the pipeline is not written in Python.



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