[jira] [Updated] (BEAM-4833) Add support for users specifying a requirements.txt for their Python portable container

["Yichi Zhang (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-4833?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yichi Zhang updated BEAM-4833:
------------------------------
    Fix Version/s: 2.25.0
       Resolution: Fixed
           Status: Resolved  (was: Open)

> 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: Holden Karau
>            Assignee: Yichi Zhang
>            Priority: P3
>             Fix For: 2.25.0
>
>          Time Spent: 2.5h
>  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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