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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/03/30 17:55:00 UTC
[jira] [Work logged] (BEAM-12071) DataFrame IO sinks do not
correctly partition by window
[ https://issues.apache.org/jira/browse/BEAM-12071?focusedWorklogId=574291&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-574291 ]
ASF GitHub Bot logged work on BEAM-12071:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Mar/21 17:54
Start Date: 30/Mar/21 17:54
Worklog Time Spent: 10m
Work Description: TheNeuralBit opened a new pull request #14374:
URL: https://github.com/apache/beam/pull/14374
When given a concrete `FileSink`, `WriteToFiles` will re-use the same sink across windows: https://github.com/apache/beam/blob/e92d184abc79fe84c48de3dfd9dd168d9b38feac/sdks/python/apache_beam/io/fileio.py#L461
https://github.com/apache/beam/blob/e92d184abc79fe84c48de3dfd9dd168d9b38feac/sdks/python/apache_beam/io/fileio.py#L625
This leads to all data (aside from one partition), being written to the file for a single window. The fix is to pass in a function that creates a new sink instead.
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Issue Time Tracking
-------------------
Worklog Id: (was: 574291)
Remaining Estimate: 0h
Time Spent: 10m
> DataFrame IO sinks do not correctly partition by window
> -------------------------------------------------------
>
> Key: BEAM-12071
> URL: https://issues.apache.org/jira/browse/BEAM-12071
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Affects Versions: 2.26.0, 2.27.0, 2.28.0
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P1
> Labels: dataframe-api
> Time Spent: 10m
> Remaining Estimate: 0h
>
> I just discovered that when processing windowed data with DataFrameTransform, only one partition is written to every window, and a single window gets every other partition/window combination.
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