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https://issues.apache.org/jira/browse/BEAM-10917?focusedWorklogId=636101&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-636101
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ASF GitHub Bot logged work on BEAM-10917:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Aug/21 21:25
Start Date: 09/Aug/21 21:25
Worklog Time Spent: 10m
Work Description: satybald edited a comment on pull request #15185:
URL: https://github.com/apache/beam/pull/15185#issuecomment-895558496
I've tried to run the pipeline with the new client, and for my case those
"no status" gRPC errors are gone :tada: Thank you, @tswast, for the PR.
However, the pipeline still runs for 1 hours and 20 min for Runner V2.
I am thinking that this issue might be related to Dataflow autoscaler. It
took ~30 min for the pipeline to scale to 50 workers.
Autoscaling with 2.6.3 BQ storage client. Pipeline started at 11:50 AM PST
Autoscaling graph for Export pipeline
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Issue Time Tracking
-------------------
Worklog Id: (was: 636101)
Time Spent: 16.5h (was: 16h 20m)
> Implement a BigQuery bounded source using the BigQuery storage API
> ------------------------------------------------------------------
>
> Key: BEAM-10917
> URL: https://issues.apache.org/jira/browse/BEAM-10917
> Project: Beam
> Issue Type: New Feature
> Components: io-py-gcp
> Reporter: Kenneth Jung
> Assignee: Kanthi Subramanian
> Priority: P3
> Time Spent: 16.5h
> Remaining Estimate: 0h
>
> The Java SDK contains a bounded source implementation which uses the BigQuery
> storage API to read from BigQuery. We should implement the same for Python.
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