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https://issues.apache.org/jira/browse/BEAM-6243?focusedWorklogId=192388&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-192388
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ASF GitHub Bot logged work on BEAM-6243:
----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Jan/19 16:12
Start Date: 30/Jan/19 16:12
Worklog Time Spent: 10m
Work Description: robertwb commented on issue #7297: [BEAM-6243] Add an
experiment to use Python's optimizer on Flink.
URL: https://github.com/apache/beam/pull/7297#issuecomment-459003638
Thanks. Yes, I'll add a test.
On Wed, Jan 30, 2019 at 2:55 PM Ankur <notificati...@github.com> wrote:
> *@angoenka* approved this pull request.
>
> Thanks!
> We don't have any test for this.
> A precommit wordcount with this optimization enabled should be good for
> basic sanity.
>
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Issue Time Tracking
-------------------
Worklog Id: (was: 192388)
Time Spent: 2h 10m (was: 2h)
> 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: Major
> Time Spent: 2h 10m
> 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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