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https://issues.apache.org/jira/browse/BEAM-6942?focusedWorklogId=225833&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-225833
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ASF GitHub Bot logged work on BEAM-6942:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/Apr/19 20:36
            Start Date: 10/Apr/19 20:36
    Worklog Time Spent: 10m 
      Work Description: tvalentyn commented on pull request #8225: [BEAM-6942]  
Make modifications to pipeline options to be visible to all views.
URL: https://github.com/apache/beam/pull/8225#discussion_r274145131
 
 

 ##########
 File path: sdks/python/apache_beam/options/pipeline_options.py
 ##########
 @@ -796,13 +796,13 @@ def _add_argparse_args(cls, parser):
               '"<ENV_VAL>"} }. All fields in the json are optional except '
               'command.'))
     parser.add_argument(
-        '--sdk-worker-parallelism', default=None,
+        '--sdk_worker_parallelism', default=None,
         help=('Sets the number of sdk worker processes that will run on each '
               'worker node. Default is 1. If 0, it will be automatically set '
               'by the runner by looking at different parameters (e.g. number '
               'of CPU cores on the worker machine).'))
     parser.add_argument(
-        '--environment-cache-millis', default=0,
+        '--environment_cache_millis', default=0,
 
 Review comment:
   Further thoughts on this: 
   1. Why is some subset of Flink runner options defined in PortableOptions. It 
seems that we should remove them, since they are not used by PortableRunner? 
Any thoughts, @angoenka, @robertwb ?
   2. If we need to keep `environment_cache_millis` in `PortableOptions`, is 
the default 0 reasonable?
   3. We should avoid using dashes in pipeline options. Emitting a warning 
seems to be the safest way, failing or converting them to underscores will be 
breaking changes.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 225833)
    Time Spent: 5h 20m  (was: 5h 10m)

> Pipeline options to experiment propagation is not working in Dataflow runner.
> -----------------------------------------------------------------------------
>
>                 Key: BEAM-6942
>                 URL: https://issues.apache.org/jira/browse/BEAM-6942
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Valentyn Tymofieiev
>            Assignee: Valentyn Tymofieiev
>            Priority: Major
>          Time Spent: 5h 20m
>  Remaining Estimate: 0h
>
> Relevant code: 
> [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py#L356-L388]
> 3 experiments/options are affected. We need to fix it in 2.12.0
> cc: [~altay] [~apilloud]



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