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https://issues.apache.org/jira/browse/BEAM-8457?focusedWorklogId=339080&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-339080
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ASF GitHub Bot logged work on BEAM-8457:
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Author: ASF GitHub Bot
Created on: 06/Nov/19 00:12
Start Date: 06/Nov/19 00:12
Worklog Time Spent: 10m
Work Description: KevinGG commented on pull request #9885: [BEAM-8457]
Label Dataflow jobs from Notebook
URL: https://github.com/apache/beam/pull/9885#discussion_r342855200
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File path: sdks/python/apache_beam/pipeline.py
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@@ -172,6 +172,10 @@ def __init__(self, runner=None, options=None, argv=None):
# If a transform is applied and the full label is already in the set
# then the transform will have to be cloned with a new label.
self.applied_labels = set()
+ # A boolean value indicating whether the pipeline is created in an
+ # interactive environment such as interactive notebooks. Initialized as
+ # None. The value is set ad hoc when `pipeline.run()` is invoked.
+ self.interactive = None
Review comment:
Thanks!
If we track `interactive` as a property of runner, we cannot implicitly pass
along the property from runner to runner.
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Issue Time Tracking
-------------------
Worklog Id: (was: 339080)
Time Spent: 6h 50m (was: 6h 40m)
> Instrument Dataflow jobs that are launched from Notebooks
> ---------------------------------------------------------
>
> Key: BEAM-8457
> URL: https://issues.apache.org/jira/browse/BEAM-8457
> Project: Beam
> Issue Type: Improvement
> Components: runner-py-interactive
> Reporter: Ning Kang
> Assignee: Ning Kang
> Priority: Major
> Fix For: 2.17.0
>
> Time Spent: 6h 50m
> Remaining Estimate: 0h
>
> Dataflow needs the capability to tell how many Dataflow jobs are launched
> from the Notebook environment, i.e., the Interactive Runner.
> # Change the pipeline.run() API to allow supply a runner and an option
> parameter so that a pipeline initially bundled w/ an interactive runner can
> be directly run by other runners from notebook.
> # Implicitly add the necessary source information through user labels when
> the user does p.run(runner=DataflowRunner()).
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