[jira] [Work logged] (BEAM-13335) DataFrame sources produce excessively large index

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

     [ https://issues.apache.org/jira/browse/BEAM-13335?focusedWorklogId=688742&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-688742 ]

ASF GitHub Bot logged work on BEAM-13335:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 01/Dec/21 15:37
            Start Date: 01/Dec/21 15:37
    Worklog Time Spent: 10m 
      Work Description: TheNeuralBit commented on pull request #16089:
URL: https://github.com/apache/beam/pull/16089#issuecomment-983762215


   Python PostCommit is faiiling other tests, but we can see the dataframe ITs are passing now: https://ci-beam.apache.org/job/beam_PostCommit_Python36_PR/159/testReport/apache_beam.examples.dataframe.taxiride_it_test/TaxirideIT/


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

    Worklog Id:     (was: 688742)
    Time Spent: 4h 40m  (was: 4.5h)

> DataFrame sources produce excessively large index
> -------------------------------------------------
>
>                 Key: BEAM-13335
>                 URL: https://issues.apache.org/jira/browse/BEAM-13335
>             Project: Beam
>          Issue Type: Improvement
>          Components: dsl-dataframe
>            Reporter: Brian Hulette
>            Assignee: Robert Bradshaw
>            Priority: P2
>             Fix For: 2.36.0
>
>          Time Spent: 4h 40m
>  Remaining Estimate: 0h
>
> DataFrame reads attempt to match user expectations by giving every element across all
> shards a unique index. This is done by embedding the filepath
> itself in the index, but this results in the (often quite long) path
> being duplicated for every element (sometimes exceeding the size of the
> data itself).
> We should instead generate a guaranteed unique _numeric_ index. 



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