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https://issues.apache.org/jira/browse/BEAM-10844?focusedWorklogId=489696&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-489696
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ASF GitHub Bot logged work on BEAM-10844:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 23/Sep/20 17:26
            Start Date: 23/Sep/20 17:26
    Worklog Time Spent: 10m 
      Work Description: y1chi commented on a change in pull request #12727:
URL: https://github.com/apache/beam/pull/12727#discussion_r493764637



##########
File path: sdks/python/apache_beam/options/pipeline_options.py
##########
@@ -1003,6 +1003,13 @@ def _add_argparse_args(cls, parser):
             'environment. Choose the docker build engine of local docker '
             'environment or google cloud build by passing the option '
             'local_docker or cloud_build.'))
+    parser.add_argument(
+        '--prebuild_sdk_container_base_image',
+        default=None,
+        help=(
+            'The base image to use when pre-building the sdk container image '
+            'with dependencies, if not specified, the latest public '

Review comment:
       I agree that we should use a nightly build and we can change to that if 
we build those. Some context is that we may need to use this feature in some 
runner v2 rolling upgrade test and building from dockerfile for the test seems 
not applicable.




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 489696)
    Time Spent: 15h 50m  (was: 15h 40m)

> Add a way to prebuild python sdk container with dependencies
> ------------------------------------------------------------
>
>                 Key: BEAM-10844
>                 URL: https://issues.apache.org/jira/browse/BEAM-10844
>             Project: Beam
>          Issue Type: New Feature
>          Components: runner-dataflow
>            Reporter: Yichi Zhang
>            Assignee: Yichi Zhang
>            Priority: P2
>          Time Spent: 15h 50m
>  Remaining Estimate: 0h
>
> We should add a way to prebuild python sdk container on top of latest public 
> sdk image, and have all the dependencies installed, so that the setup steps 
> won't need to be executed again every time a new worker vm is launched, on 
> dataflow.



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