holdenk created BEAM-4833:
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Summary: 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
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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