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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/05/06 21:23:00 UTC
[jira] [Work logged] (BEAM-11359) Clean up temporary dataset after
ReadAllFromBQ executes
[ https://issues.apache.org/jira/browse/BEAM-11359?focusedWorklogId=593020&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-593020 ]
ASF GitHub Bot logged work on BEAM-11359:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 06/May/21 21:22
Start Date: 06/May/21 21:22
Worklog Time Spent: 10m
Work Description: gabrielmpaula opened a new pull request #14745:
URL: https://github.com/apache/beam/pull/14745
R: @pabloem
I have a process that runs every day to process users in the BigQuery and send their information to Google Marketing tools, such as Google Analytics, Campaign Manager, etc.
When using the Python SDK it generates a distinct temporary dataset every day that is not removed and does not have an expiration date.
I added a command to remove the temporary dataset after removing the temporary table created after reading the data from BigQuery.
------------------------
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`ValidatesRunner` compliance status (on master branch)
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Examples testing status on various runners
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<td>Go</td>
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Post-Commit SDK/Transform Integration Tests Status (on master branch)
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Pre-Commit Tests Status (on master branch)
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</table>
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Issue Time Tracking
-------------------
Worklog Id: (was: 593020)
Remaining Estimate: 0h
Time Spent: 10m
> Clean up temporary dataset after ReadAllFromBQ executes
> -------------------------------------------------------
>
> Key: BEAM-11359
> URL: https://issues.apache.org/jira/browse/BEAM-11359
> Project: Beam
> Issue Type: Improvement
> Components: io-py-gcp
> Reporter: Pablo Estrada
> Priority: P3
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Currently, the transform creates (or receives) a temp dataset and it does not clean it up. Only one is created per pipeline, so it's not too bad, but it's not ideal.
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