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https://issues.apache.org/jira/browse/BEAM-4833?focusedWorklogId=125285&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-125285
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ASF GitHub Bot logged work on BEAM-4833:
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Author: ASF GitHub Bot
Created on: 20/Jul/18 00:04
Start Date: 20/Jul/18 00:04
Worklog Time Spent: 10m
Work Description: asfgit commented on issue #6005: [BEAM-4833][WIP] Add
support for user req.txt for portable python
URL: https://github.com/apache/beam/pull/6005#issuecomment-406449753
SUCCESS
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Issue Time Tracking
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Worklog Id: (was: 125285)
Time Spent: 20m (was: 10m)
> Add support for users specifying a requirements.txt for their Python portable
> container
> ---------------------------------------------------------------------------------------
>
> Key: BEAM-4833
> URL: https://issues.apache.org/jira/browse/BEAM-4833
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: holdenk
> Assignee: holdenk
> Priority: Minor
> Time Spent: 20m
> Remaining Estimate: 0h
>
> It's pretty common that Python scripts require extra dependencies, even the
> tensorflow model analysis TFMA example requires a different version of TF
> than the one we install by default. While users can roll their own container
> or edit the Dockerfile, it would probably be useful to provide an easier path
> to integrating their dependencies.
> While we support automatically installing the dependencies at runtime on the
> workers, this can be very slow, especially for things like tensorflow, arrow,
> or other numeric heavy code.
> Another alternative could be a simple script to augment the existing base
> image.
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