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https://issues.apache.org/jira/browse/BEAM-6243?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17122990#comment-17122990
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Beam JIRA Bot commented on BEAM-6243:
-------------------------------------
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.
> TFX pipelines experience a huge blowup in intermediate data size
> ----------------------------------------------------------------
>
> Key: BEAM-6243
> URL: https://issues.apache.org/jira/browse/BEAM-6243
> Project: Beam
> Issue Type: Bug
> Components: runner-flink
> Reporter: Robert Bradshaw
> Priority: P2
> Labels: stale-P2
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> The elements in TFX intermediate collections are dictionaries of (typically
> single-element) numpy arrays, which are (relatively) expensive to serialize
> (e.g. using pickle for the numpy wrapper of a primitive int/float, repeating
> the column names in every element).
> Though it'd be good to use a better intermediate representation, this is
> exacerbated because the fusion algorithm does not pack as much possible into
> executable stages.
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