You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/11/03 23:37:00 UTC
[jira] [Work logged] (BEAM-13133) sample() imposes partitioning by
index unnecessarily
[ https://issues.apache.org/jira/browse/BEAM-13133?focusedWorklogId=675037&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-675037 ]
ASF GitHub Bot logged work on BEAM-13133:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Nov/21 23:36
Start Date: 03/Nov/21 23:36
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on pull request #15818:
URL: https://github.com/apache/beam/pull/15818#issuecomment-960295567
Run PythonDocs PreCommit
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: github-unsubscribe@beam.apache.org
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
Issue Time Tracking
-------------------
Worklog Id: (was: 675037)
Time Spent: 1h 20m (was: 1h 10m)
> sample() imposes partitioning by index unnecessarily
> ----------------------------------------------------
>
> Key: BEAM-13133
> URL: https://issues.apache.org/jira/browse/BEAM-13133
> Project: Beam
> Issue Type: Bug
> Components: dsl-dataframe
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P2
> Fix For: 2.35.0
>
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> I noticed that sample() requires data to repartitioned when it's used at the beginning of a series of dataframe commands. In practice we should be able to sample within arbitrary partitions before combining the partitions to produce the final result.
> It looks like the root cause is that our sample expressions require partitioning by index, rather than arbitrary partitioning.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)