[jira] [Work logged] (BEAM-12135) Batch optimized translation for Spark Runner

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-12135?focusedWorklogId=587480&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-587480 ]

ASF GitHub Bot logged work on BEAM-12135:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 22/Apr/21 20:07
            Start Date: 22/Apr/21 20:07
    Worklog Time Spent: 10m 
      Work Description: iemejia commented on pull request #14621:
URL: https://github.com/apache/beam/pull/14621#issuecomment-825150144


   Run Python Spark ValidatesRunner


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Issue Time Tracking
-------------------

            Worklog Id:     (was: 587480)
    Remaining Estimate: 0h
            Time Spent: 10m

> Batch optimized translation for Spark Runner
> --------------------------------------------
>
>                 Key: BEAM-12135
>                 URL: https://issues.apache.org/jira/browse/BEAM-12135
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-spark
>            Reporter: Ismaël Mejía
>            Priority: P2
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Spark Runner and maybe all other runners that deal with batch only data might benefit of a batch optimized translation where details about the full Beam model matter less because we are in Global window, no panes info is needed and all records use the sane (min) timestamp. With this premise the records can be encoded as 'value only' WindowValues and transforms like GroupByKey may ignore windowing (GABW) to improve performance.



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