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https://issues.apache.org/jira/browse/BEAM-10597?focusedWorklogId=472146&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-472146
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ASF GitHub Bot logged work on BEAM-10597:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 18/Aug/20 21:52
Start Date: 18/Aug/20 21:52
Worklog Time Spent: 10m
Work Description: robinyqiu commented on a change in pull request #12403:
URL: https://github.com/apache/beam/pull/12403#discussion_r472514238
##########
File path:
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java
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@@ -867,6 +872,7 @@ public void deleteDataset(String projectId, String
datasetId)
}
try {
sleeper.sleep(nextBackoffMillis);
+ throttlingMilliSeconds.inc(nextBackoffMillis);
Review comment:
> Yes, we should use backoff1. Rate limit errors only reach to this
point after 2 minutes of backoffs by backoff1 silently inside of the future.
I see. That make sense to me.
> Why do you think it's over-calculated?
Because I am not sure how this metrics is used downstream. I vaguely
remember Dataflow autoscaling will use this number divided by the total time
spent on work item to yield a fraction which signals throttling. If the total
time is not accumulating time spent on all threads then we may over-calculate.
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Issue Time Tracking
-------------------
Worklog Id: (was: 472146)
Time Spent: 2h 20m (was: 2h 10m)
> Propagate BigQuery streaming insert throttled time to Dataflow worker
> ---------------------------------------------------------------------
>
> Key: BEAM-10597
> URL: https://issues.apache.org/jira/browse/BEAM-10597
> Project: Beam
> Issue Type: New Feature
> Components: io-java-gcp
> Reporter: Robin Qiu
> Assignee: Robin Qiu
> Priority: P2
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
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