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https://issues.apache.org/jira/browse/BEAM-9291?focusedWorklogId=385442&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-385442
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ASF GitHub Bot logged work on BEAM-9291:
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Author: ASF GitHub Bot
Created on: 11/Feb/20 20:59
Start Date: 11/Feb/20 20:59
Worklog Time Spent: 10m
Work Description: aaltay commented on pull request #10829: [BEAM-9291]
Upload graph option in dataflow's python sdk
URL: https://github.com/apache/beam/pull/10829#discussion_r377894420
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File path: sdks/python/apache_beam/options/pipeline_options.py
##########
@@ -562,6 +562,12 @@ def _add_argparse_args(cls, parser):
default=None,
choices=['COST_OPTIMIZED', 'SPEED_OPTIMIZED'],
help='Set the Flexible Resource Scheduling mode')
+ parser.add_argument(
Review comment:
Looking at the Java implementation
(https://github.com/apache/beam/pull/7047), this is an experiment and not a top
level option.
I believe you can handle this similar to other experiments in
internal/apiclient.py
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Issue Time Tracking
-------------------
Worklog Id: (was: 385442)
Remaining Estimate: 0h
Time Spent: 10m
> upload_graph support in Dataflow Python SDK
> -------------------------------------------
>
> Key: BEAM-9291
> URL: https://issues.apache.org/jira/browse/BEAM-9291
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow
> Reporter: Radosław Stankiewicz
> Assignee: Radosław Stankiewicz
> Priority: Minor
> Time Spent: 10m
> Remaining Estimate: 0h
>
> upload_graph option is not supported in Dataflow's Python SDK so there is no
> workaround for large graphs.
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