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https://issues.apache.org/jira/browse/BEAM-10708?focusedWorklogId=558671&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-558671
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ASF GitHub Bot logged work on BEAM-10708:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 26/Feb/21 18:31
Start Date: 26/Feb/21 18:31
Worklog Time Spent: 10m
Work Description: KevinGG commented on pull request #14073:
URL: https://github.com/apache/beam/pull/14073#issuecomment-786819678
> I was under the impression that deepcopy "just worked" on user classes by
deep copying the attributes. Does that not work well with our types?
Deepcopy works for [nested] primitive types. Something like a PipelineOption
can be deepcopied without any issue. If a type has no copier (`__deepcopy__`)
defined and python couldn't figure out how to deepcopy it, python resorts to
the pickler. It pickles the object and then unpickle it to make a deepcopy.
Some types are not picklable, for example, an RLock. Additionally, most of the
python pipeline components are not picklable because the code disallows
pickling by overriding the `__reduce__` function. So if you deepcopy a
pipeline, nothing really is copied and you get a str.
This PR explicitly defines the copiers for different components in the
pipeline.
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Issue Time Tracking
-------------------
Worklog Id: (was: 558671)
Time Spent: 5h 10m (was: 5h)
> 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 Kang
> Priority: P2
> Time Spent: 5h 10m
> 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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