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https://issues.apache.org/jira/browse/BEAM-8457?focusedWorklogId=332274&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-332274
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ASF GitHub Bot logged work on BEAM-8457:
----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Oct/19 22:58
Start Date: 22/Oct/19 22:58
Worklog Time Spent: 10m
Work Description: KevinGG commented on pull request #9854: [BEAM-8457]
Label Dataflow jobs from Notebook
URL: https://github.com/apache/beam/pull/9854#discussion_r337785938
##########
File path: sdks/python/apache_beam/pipeline.py
##########
@@ -396,28 +396,40 @@ def replace_all(self, replacements):
for override in replacements:
self._check_replacement(override)
- def run(self, test_runner_api=True):
- """Runs the pipeline. Returns whatever our runner returns after running."""
+ def run(self, test_runner_api=True, runner=None, options=None):
+ """Runs the pipeline. Returns whatever our runner returns after running.
+
+ If another runner instance and options are provided, that runner will
+ execute the pipeline with the given options. If either of them is not set,
+ the default runner will run the pipeline with the original options
+ assigned to the pipeline. The usage is similar to directly invoking
+ `runner.run_pipeline(pipeline, options)`.
+ """
+ runner_in_use = self.runner
+ options_in_use = self._options
+ if runner and options:
Review comment:
You're right! This will surprise the user. I've changed it to throw error if
either is not provided instead of ignoring the input by default.
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Issue Time Tracking
-------------------
Worklog Id: (was: 332274)
Time Spent: 50m (was: 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
> Time Spent: 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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