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https://issues.apache.org/jira/browse/BEAM-13714?focusedWorklogId=716640&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-716640
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ASF GitHub Bot logged work on BEAM-13714:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 27/Jan/22 19:50
Start Date: 27/Jan/22 19:50
Worklog Time Spent: 10m
Work Description: scwhittle commented on pull request #16604:
URL: https://github.com/apache/beam/pull/16604#issuecomment-1023582606
Yes it is definitely spammy, it could perhaps be kept as a debug log if
possibly of interest in debugging how effective batching is. But perhaps some
metrics or periodic logging would be better to surface that.
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Issue Time Tracking
-------------------
Worklog Id: (was: 716640)
Time Spent: 40m (was: 0.5h)
> 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
> Assignee: Marcin Kuthan
> Priority: P2
> Labels: starter
> Time Spent: 40m
> 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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