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https://issues.apache.org/jira/browse/BEAM-6243?focusedWorklogId=176073&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-176073
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ASF GitHub Bot logged work on BEAM-6243:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 17/Dec/18 15:32
            Start Date: 17/Dec/18 15:32
    Worklog Time Spent: 10m 
      Work Description: robertwb opened a new pull request #7297:  [BEAM-6243] 
Add an experiment to use Python's optimizer on Flink.
URL: https://github.com/apache/beam/pull/7297
 
 
   I've successfully run 1GB-sized TFT jobs locally with this change.
   
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   Post-Commit Tests Status (on master branch)
   
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   Lang | SDK | Apex | Dataflow | Flink | Gearpump | Samza | Spark
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   Go | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Go/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Go/lastCompletedBuild/)
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   Java | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Java/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Java/lastCompletedBuild/)
 | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Apex/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Apex/lastCompletedBuild/)
 | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Dataflow/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Dataflow/lastCompletedBuild/)
 | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Flink/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Flink/lastCompletedBuild/)
 [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Java_PVR_Flink/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Java_PVR_Flink/lastCompletedBuild/)
 | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Gearpump/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Gearpump/lastCompletedBuild/)
 | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Samza/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Samza/lastCompletedBuild/)
 | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Spark/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Spark/lastCompletedBuild/)
   Python | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Python_Verify/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Python_Verify/lastCompletedBuild/)
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Status](https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow/lastCompletedBuild/)
 </br> [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Py_ValCont/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Py_ValCont/lastCompletedBuild/)
 | [![Build 
Status](https://builds.apache.org/job/beam_PostCommit_Python_VR_Flink/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Python_VR_Flink/lastCompletedBuild/)
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 176073)
            Time Spent: 10m
    Remaining Estimate: 0h

> 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: 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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