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https://issues.apache.org/jira/browse/BEAM-10708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17408425#comment-17408425
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Brian Hulette commented on BEAM-10708:
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> It's a workaround for SQL only. There is no integration test for this.
> Underlying it, it builds a normal pipeline executing SqlTransform with a
> DirectRunner. If that's covered, there is no need to add another integration
> test.
That should be covered in XVR Direct
(https://ci-beam.apache.org/job/beam_PostCommit_XVR_Direct). Although I don't
think that actually verifies with the runner configured for streaming.
I think Cham's question was around the proto roundtrip that originally broke
multi-language pipelines on the interactive runner. Does InteractiveRunner no
longer make a roundtrip to the runner API proto, or is there some other fix
specific to SQL?
> 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 20m
> 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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