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https://issues.apache.org/jira/browse/BEAM-6908?focusedWorklogId=240445&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-240445
]
ASF GitHub Bot logged work on BEAM-6908:
----------------------------------------
Author: ASF GitHub Bot
Created on: 10/May/19 22:02
Start Date: 10/May/19 22:02
Worklog Time Spent: 10m
Work Description: tvalentyn commented on pull request #8518: [BEAM-6908]
Refactor Python performance test groovy file for easy configuration
URL: https://github.com/apache/beam/pull/8518#discussion_r283054650
##########
File path: .test-infra/jenkins/job_PerformanceTests_Python.groovy
##########
@@ -18,46 +18,107 @@
import CommonJobProperties as commonJobProperties
-// This job runs the Beam Python performance tests on PerfKit Benchmarker.
-job('beam_PerformanceTests_Python'){
- // Set default Beam job properties.
- commonJobProperties.setTopLevelMainJobProperties(delegate)
-
- // Run job in postcommit every 6 hours, don't trigger every push.
- commonJobProperties.setAutoJob(
- delegate,
- 'H */6 * * *')
-
- // Allows triggering this build against pull requests.
- commonJobProperties.enablePhraseTriggeringFromPullRequest(
- delegate,
- 'Python SDK Performance Test',
- 'Run Python Performance Test')
-
- def pipelineArgs = [
- project: 'apache-beam-testing',
- staging_location: 'gs://temp-storage-for-end-to-end-tests/staging-it',
- temp_location: 'gs://temp-storage-for-end-to-end-tests/temp-it',
- output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output'
- ]
- def pipelineArgList = []
- pipelineArgs.each({
- key, value -> pipelineArgList.add("--$key=$value")
- })
- def pipelineArgsJoined = pipelineArgList.join(',')
-
- def argMap = [
- beam_sdk : 'python',
- benchmarks : 'beam_integration_benchmark',
- bigquery_table : 'beam_performance.wordcount_py_pkb_results',
- beam_it_class :
'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it',
- beam_it_module : 'sdks/python',
- beam_prebuilt : 'true', // skip beam prebuild
- beam_python_sdk_location : 'build/apache-beam.tar.gz',
- beam_runner : 'TestDataflowRunner',
- beam_it_timeout : '1200',
- beam_it_args : pipelineArgsJoined,
- ]
-
- commonJobProperties.buildPerformanceTest(delegate, argMap)
+
+class PerformanceTestConfigurations {
+ String jobName
+ String jobDescription
+ String jobTriggerPhrase
+ String buildSchedule = 'H */6 * * *' // every 6 hours
+ String benchmarkName = 'beam_integration_benchmark'
+ String sdk = 'python'
+ String bigqueryTable
+ String itClass
+ String itModule
Review comment:
Ok, but how do we know which gradle module to select? I see that you used a
different value for Py2 and Py3 benchmark, how did you pick those specific
ones? How does a person writing an new benchmark decides how to fill this value?
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Issue Time Tracking
-------------------
Worklog Id: (was: 240445)
Time Spent: 12h 20m (was: 12h 10m)
> Add Python3 performance benchmarks
> ----------------------------------
>
> Key: BEAM-6908
> URL: https://issues.apache.org/jira/browse/BEAM-6908
> Project: Beam
> Issue Type: Sub-task
> Components: testing
> Reporter: Mark Liu
> Assignee: Mark Liu
> Priority: Major
> Time Spent: 12h 20m
> Remaining Estimate: 0h
>
> Similar to
> [beam_PerformanceTests_Python|https://builds.apache.org/view/A-D/view/Beam/view/PerformanceTests/job/beam_PerformanceTests_Python/],
> we want to have a Python3 benchmark running on Jenkins to detect performance
> regression during code adoption.
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