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https://issues.apache.org/jira/browse/BEAM-11166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17256613#comment-17256613
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Beam JIRA Bot commented on BEAM-11166:
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This issue is P2 but has been unassigned without any comment for 60 days so it
has been labeled "stale-P2". If this issue is still affecting you, we care!
Please comment and remove the label. Otherwise, in 14 days the issue will be
moved to P3.
Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed
explanation of what these priorities mean.
> Split Beam Python base image into a 'slim' version and 'regular/extended'
> version
> ----------------------------------------------------------------------------------
>
> Key: BEAM-11166
> URL: https://issues.apache.org/jira/browse/BEAM-11166
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Valentyn Tymofieiev
> Priority: P2
> Labels: stale-P2
>
> Beam container image includes several dependencies that are not essential to
> Beam, but may be commonly used by some users. Some dependencies may be
> relevant only for particular runners.
> Installing dependencies in Beam containers increases image size. For example,
> installing TensorFlow adds ~1G or so of space into the unpacked image.
> Some Beam users may be size conscious, and would prefer an image with minimal
> dependencies.
> Some Beam users and Beam runner maintainers may prefer an image that includes
> additional dependencies. These extended images may provide better user
> experience in some scenarios, but the overall image would be larger.
> We should consider splitting beam image into slim and regular version to
> accommodate these different usage scenarios.
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