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https://issues.apache.org/jira/browse/BEAM-10917?focusedWorklogId=634853&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-634853
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ASF GitHub Bot logged work on BEAM-10917:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Aug/21 22:51
Start Date: 05/Aug/21 22:51
Worklog Time Spent: 10m
Work Description: satybald commented on pull request #15185:
URL: https://github.com/apache/beam/pull/15185#issuecomment-893870561
> @satybald Could you try running the pipelines with the latest changes?
I've added support for fastavro and logging to the PTransform. Thanks! :)
I've run the job and found that the job is running pretty slow as the
previous version. However, then realized that `use_fastavro` flag is `False` by
default and I need to explicitly make it to `True`. I need to re-run the job.
The result of the runs might be tomorrow.
In any case, I found that when the job encounter
`google.api_core.exceptions.Unknown: None No status received` that I shared
previously, the PTransform throughput drops from ~400MiB/s to 300MiB/s. Do you
folks know why this error might occur?
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Issue Time Tracking
-------------------
Worklog Id: (was: 634853)
Time Spent: 14h 10m (was: 14h)
> 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: 14h 10m
> 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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