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https://issues.apache.org/jira/browse/BEAM-10708?focusedWorklogId=650207&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-650207
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ASF GitHub Bot logged work on BEAM-10708:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 13/Sep/21 19:31
Start Date: 13/Sep/21 19:31
Worklog Time Spent: 10m
Work Description: KevinGG commented on a change in pull request #15490:
URL: https://github.com/apache/beam/pull/15490#discussion_r707621731
##########
File path: sdks/python/apache_beam/runners/interactive/caching/cacheable.py
##########
@@ -26,24 +26,22 @@
from dataclasses import dataclass
import apache_beam as beam
-from apache_beam.runners.interactive.utils import obfuscate
@dataclass
class Cacheable:
- pcoll_id: str
var: str
version: str
- pcoll: beam.pvalue.PCollection
producer_version: str
+ pcoll: beam.pvalue.PCollection
Review comment:
To make the field order consistent to the CacheKey class.
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Issue Time Tracking
-------------------
Worklog Id: (was: 650207)
Time Spent: 32h 10m (was: 32h)
> 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: 32h 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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