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https://issues.apache.org/jira/browse/BEAM-11881?focusedWorklogId=567138&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-567138
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ASF GitHub Bot logged work on BEAM-11881:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Mar/21 17:43
Start Date: 16/Mar/21 17:43
Worklog Time Spent: 10m
Work Description: aromanenko-dev commented on pull request #14135:
URL: https://github.com/apache/beam/pull/14135#issuecomment-800473198
Well, my point is that with many small commits it's very difficult to keep a
git history of atomic and independent commits (ideally, every commit has to be
easy to revert in case if it's needed). Also, we tend to add a Jira prefix to
commit message to make it easier for a search in the future. Imho, ideally, we
have to have only **one** "well tested" commit per one Jira despite the number
of lines and changes.
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Issue Time Tracking
-------------------
Worklog Id: (was: 567138)
Time Spent: 6h 50m (was: 6h 40m)
> DataFrame subpartitioning order is incorrect
> --------------------------------------------
>
> Key: BEAM-11881
> URL: https://issues.apache.org/jira/browse/BEAM-11881
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P2
> Labels: dataframe-api
> Fix For: 2.30.0
>
> Time Spent: 6h 50m
> Remaining Estimate: 0h
>
> Currently we've defined
> Nothing() < Index([i]) < Index([i,j]) < .. < Index() < Singleton()
> s.t. Singleton is a subpartitoning of Index, is a subpartitioning of
> Index([i,j]), but this is incorrect. The order should be
> Singleton() < Index([i]) < Index([i,j]) < .. < Index() < Nothing()
> s.t. every other partitioning is a subpartitioning of Singleton. This is
> logical, since Singleton will collect the largest amount of data on a single
> node, partitioning by a single index will be alittle more distributed, and
> partitioning by the full Index() will be the most distribtued.
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