[
https://issues.apache.org/jira/browse/BEAM-6243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Kenneth Knowles updated BEAM-6243:
----------------------------------
This Jira ticket has a pull request attached to it, but is still open. Did the
pull request resolve the issue? If so, could you please mark it resolved? This
will help the project have a clear view of its open issues.
> 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: P3
> 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.
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
