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https://issues.apache.org/jira/browse/BEAM-4833?focusedWorklogId=125277&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-125277
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ASF GitHub Bot logged work on BEAM-4833:
----------------------------------------
Author: ASF GitHub Bot
Created on: 19/Jul/18 23:45
Start Date: 19/Jul/18 23:45
Worklog Time Spent: 10m
Work Description: holdenk opened a new pull request #6005:
[BEAM-4833][WIP] Add support for user req.txt for portable python
URL: https://github.com/apache/beam/pull/6005
Attempts to make it easier for folks to add their own custom requirements
for use with Python and the portable runners. Some alternative options exist
that could also make it easier, e.g. adding a python or shell script which
generates a docker file based on the "vanilla" one as the starting point (or
similar gradle target), or not doing this at all.
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Post-Commit Tests Status (on master branch)
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Issue Time Tracking
-------------------
Worklog Id: (was: 125277)
Time Spent: 10m
Remaining Estimate: 0h
> 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: 10m
> 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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