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https://issues.apache.org/jira/browse/BEAM-5778?focusedWorklogId=163862&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-163862
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ASF GitHub Bot logged work on BEAM-5778:
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Author: ASF GitHub Bot
Created on: 08/Nov/18 11:13
Start Date: 08/Nov/18 11:13
Worklog Time Spent: 10m
Work Description: lgajowy commented on a change in pull request #6943:
[BEAM-5778] Add integrations of Metrics API to Big Query for SyntheticcSources
load tests in Python SDK
URL: https://github.com/apache/beam/pull/6943#discussion_r231848836
##########
File path: sdks/python/apache_beam/testing/load_tests/co_group_by_key_test.py
##########
@@ -18,7 +18,9 @@
To run test on DirectRunner
python setup.py nosetests \
- --test-pipeline-options="--input_options='{
+ --test-pipeline-options="
+ --metrics_project_id=big-query-project
Review comment:
I think it's better to have one option for this, if possible. I don't think
using multiple google cloud project will be ever needed. Even if so, then
adding a new, big query specific pipeline option will be easy.
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Issue Time Tracking
-------------------
Worklog Id: (was: 163862)
Time Spent: 3h 20m (was: 3h 10m)
> Add integrations of Metrics API to Big Query for SyntheticSources load tests
> in Python SDK
> ------------------------------------------------------------------------------------------
>
> Key: BEAM-5778
> URL: https://issues.apache.org/jira/browse/BEAM-5778
> Project: Beam
> Issue Type: Improvement
> Components: testing
> Reporter: Kasia Kucharczyk
> Assignee: Kasia Kucharczyk
> Priority: Major
> Time Spent: 3h 20m
> Remaining Estimate: 0h
>
> Right now Metrics API collects basic metrics of load tests of
> SyntheticSources (Python SDK). It should be collected in BigQuery for
> presenting it on performance dashboards.
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