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https://issues.apache.org/jira/browse/BEAM-6243?focusedWorklogId=186656&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-186656
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ASF GitHub Bot logged work on BEAM-6243:
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Author: ASF GitHub Bot
Created on: 18/Jan/19 01:36
Start Date: 18/Jan/19 01:36
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-455395621
Mostly Java is very conservative when it comes to fusing anything that has
any side inputs. That doesn't really come up here though; the code in question
her is all about taking the list of stages from the Python optimizer (whatever
decisions it made) and re-constructing a pipeline proto with executable stage
transforms.
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Issue Time Tracking
-------------------
Worklog Id: (was: 186656)
Time Spent: 40m (was: 0.5h)
> 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: 40m
> 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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