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Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2020/08/08 17:07:02 UTC

[jira] [Commented] (BEAM-6335) GroupByKey uses data insertion pipeline in streaming tests

    [ https://issues.apache.org/jira/browse/BEAM-6335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17173689#comment-17173689 ] 

Beam JIRA Bot commented on BEAM-6335:
-------------------------------------

This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> GroupByKey uses data insertion pipeline in streaming tests
> ----------------------------------------------------------
>
>                 Key: BEAM-6335
>                 URL: https://issues.apache.org/jira/browse/BEAM-6335
>             Project: Beam
>          Issue Type: Sub-task
>          Components: testing
>            Reporter: Kasia Kucharczyk
>            Priority: P2
>              Labels: beam-fixit, stale-P2
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> Uses prepared Java Data Insertion Pipeline to update GroupByKey in Python to load test streaming.
> This task contains following steps:
>  # Create GroupByKey streaming test that accepts bytes
>  # To stop test after arrived messages it is required to add a matcher. The matcher should work on number of messages because in case of load testing it would be difficult to compare big load of bytes (also casting bytes to string to compare load would be difficult).
>  # All data is generated by SyntheticDataPublisher.java, which is sending bytes produced by synthetic source to PubSub. PubSub is used as a streaming source for the Python test.



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