[
https://issues.apache.org/jira/browse/BEAM-10917?focusedWorklogId=634900&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-634900
]
ASF GitHub Bot logged work on BEAM-10917:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 06/Aug/21 00:44
Start Date: 06/Aug/21 00:44
Worklog Time Spent: 10m
Work Description: satybald commented on pull request #15185:
URL: https://github.com/apache/beam/pull/15185#issuecomment-893919805
> Excellent, I'm glad that `fastavro` has had the desired impact on
steady-state throughput. I believe you are correct that the combination of no
dynamic work rebalancing and transient work item failures is leading to the
increase in overall runtime. We'll look into the latter first.
Awesome! Thank you so much for help! I've mailed @vachan-shetty the BQ
storage API session ID that processed the failed work item. I hope it helps
with troubleshooting
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 634900)
Time Spent: 15.5h (was: 15h 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: 15.5h
> 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.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)