[ 
https://issues.apache.org/jira/browse/BEAM-6955?focusedWorklogId=262510&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-262510
 ]

ASF GitHub Bot logged work on BEAM-6955:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 18/Jun/19 17:30
            Start Date: 18/Jun/19 17:30
    Worklog Time Spent: 10m 
      Work Description: tvalentyn commented on pull request #8885: [BEAM-6955] 
Use base version component of Beam Python SDK version when choosing Dataflow 
container image to use.
URL: https://github.com/apache/beam/pull/8885
 
 
   When Beam SDK version is modified, for example, when current version of the 
SDK is a release candidate, Dataflow runner should use the base version 
component of the SDK, which we can parse via `pkg_resources.parse_version()`, 
for example:
   ```
   >>> pkg_resources.parse_version("2.14.0").base_version
   '2.14.0'
   >>> pkg_resources.parse_version("2.14.0.rc1").base_version
   '2.14.0'
   ```
   
   ------------------------
   
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 262510)
    Time Spent: 40m  (was: 0.5h)

> Support Dataflow --sdk_location with modified version number
> ------------------------------------------------------------
>
>                 Key: BEAM-6955
>                 URL: https://issues.apache.org/jira/browse/BEAM-6955
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-dataflow
>    Affects Versions: 2.11.0
>            Reporter: Daniel Lescohier
>            Priority: Major
>          Time Spent: 40m
>  Remaining Estimate: 0h
>
> Support Dataflow --sdk_location with modified version number
> Determine the version tag to use for the Google Container Registry, for the 
> service image versions to use on the Dataflow worker nodes. Users of Dataflow 
> may be using a locally-modified version of Apache Beam, which they submit to 
> Dataflow with the --sdk_location option. Those users would most likely modify 
> the version number of Apache Beam, so they can distinguish it from the public 
> distribution of Apache Beam. However, the remote nodes in Dataflow still need 
> to bootsrap the worker service with a Docker image that a version tag exists 
> for. 
> The most appropriate way for system integrators to modify the Apache Beam 
> version number would be to add a Local Version Identifier: 
> https://www.python.org/dev/peps/pep-0440/#local-version-identifiers
> If people only use Local Version Identifiers, then we could use the "public" 
> attribute of the pkg_resources version object.
> If people instead use a post-release version identifier: 
> https://www.python.org/dev/peps/pep-0440/#post-releases then only the 
> "base_version" attribute would work both of these version number changes. 
> Since Dataflow documentation does not specify how to modify version numbers, 
> I am choosing to use "base_version" attribute.
> Will shortly submit a PR with the change.



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