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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2022/01/25 08:22:00 UTC
[jira] [Work logged] (BEAM-13714) Flood of logs from BigQueryIO connector
[ https://issues.apache.org/jira/browse/BEAM-13714?focusedWorklogId=714273&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-714273 ]
ASF GitHub Bot logged work on BEAM-13714:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Jan/22 08:21
Start Date: 25/Jan/22 08:21
Worklog Time Spent: 10m
Work Description: mkuthan opened a new pull request #16604:
URL: https://github.com/apache/beam/pull/16604
As reported in https://issues.apache.org/jira/browse/BEAM-13714 BigQuery connector logs every batch in streaming mode.
For real-world pipeline it causes Cloud Logging throttling.
As long as BigQuery insertAll API metrics (request count and percentiles for request sizes) are available in StackDriver, logging seems to be redundant, so I decided to remove logging at all.
@nehsyc - I would like to ask you for the review as an author of relevant changes in BigQuery connector.
https://github.com/apache/beam/commit/c1e5b3547b0dc23b4ae4804b410be2d018781470
------------------------
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`ValidatesRunner` compliance status (on master branch)
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<th>Flink</th>
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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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</table>
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Issue Time Tracking
-------------------
Worklog Id: (was: 714273)
Remaining Estimate: 0h
Time Spent: 10m
> Flood of logs from BigQueryIO connector
> ---------------------------------------
>
> Key: BEAM-13714
> URL: https://issues.apache.org/jira/browse/BEAM-13714
> Project: Beam
> Issue Type: Bug
> Components: io-java-gcp
> Reporter: Marcin Kuthan
> Priority: P2
> Labels: starter
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Flood of unimportant logs from "BigQueryIO" connector when auto-sharing mode is enabled:
> "Writing to BigQuery using Auto-sharding ..."
> I would remove this kind of logging at all (you can always check BigQuery API metrics using Stack Driver), or at least set log level to DEBUG.
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