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https://issues.apache.org/jira/browse/BEAM-7362?focusedWorklogId=253469&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-253469
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ASF GitHub Bot logged work on BEAM-7362:
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Author: ASF GitHub Bot
Created on: 03/Jun/19 23:53
Start Date: 03/Jun/19 23:53
Worklog Time Spent: 10m
Work Description: tvalentyn commented on issue #8626: [BEAM-7362]
BigQuery IO write performance test
URL: https://github.com/apache/beam/pull/8626#issuecomment-498467504
> @kkucharc I think `_write_perf_test.py` would better reflect the purpose
of this test. In addition it's more distinguishable from the other tests.
SGTM.
Btw, @kamilwu, squashing new changes into the first commit and a force push
make it harder to see what changes were made between review iterations. I
suggest to make a "fixup: " commits instead. You could later squash fixup
commits before the merge, or a committer can squash all commits into one during
the merge. (It is also fine to keep multiple commits if they are meaningful
contributions of their own).
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Issue Time Tracking
-------------------
Worklog Id: (was: 253469)
Time Spent: 3h 20m (was: 3h 10m)
> Add a performance test for BigQueryIO write
> -------------------------------------------
>
> Key: BEAM-7362
> URL: https://issues.apache.org/jira/browse/BEAM-7362
> Project: Beam
> Issue Type: Test
> Components: testing
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: Major
> Time Spent: 3h 20m
> Remaining Estimate: 0h
>
> There is already one test which covers BigQueryIO read in Python SDK, but
> there are no tests for BigQueryIO write.
> My plan is:
> 1) Use SyntheticSource to generate input data. Data size can be configure by
> command line arguments.
> 2) Write data to BQ dataset and measure throughput.
>
>
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