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ASF GitHub Bot logged work on BEAM-7774: ---------------------------------------- Author: ASF GitHub Bot Created on: 27/May/20 03:31 Start Date: 27/May/20 03:31 Worklog Time Spent: 10m Work Description: piotr-szuberski commented on a change in pull request #11661: URL: https://github.com/apache/beam/pull/11661#discussion_r429088765 ########## File path: .test-infra/jenkins/job_PerformanceTests_Python.groovy ########## @@ -58,117 +26,59 @@ def dataflowPipelineArgs = [ temp_location : 'gs://temp-storage-for-end-to-end-tests/temp-it', ] - -// Configurations of each Jenkins job. -def testConfigurations = [ - new PerformanceTestConfigurations( - jobName : 'beam_PerformanceTests_WordCountIT_Py27', - jobDescription : 'Python SDK Performance Test - Run WordCountIT in Py27 with 1Gb files', - jobTriggerPhrase : 'Run Python27 WordCountIT Performance Test', - resultTable : 'beam_performance.wordcount_py27_pkb_results', - test : 'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it', - itModule : ':sdks:python:test-suites:dataflow:py2', - extraPipelineArgs : dataflowPipelineArgs + [ - input: 'gs://apache-beam-samples/input_small_files/ascii_sort_1MB_input.0000*', // 1Gb - output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output', - expect_checksum: 'ea0ca2e5ee4ea5f218790f28d0b9fe7d09d8d710', - num_workers: '10', - autoscaling_algorithm: 'NONE', // Disable autoscale the worker pool. - ], - ), - new PerformanceTestConfigurations( - jobName : 'beam_PerformanceTests_WordCountIT_Py35', - jobDescription : 'Python SDK Performance Test - Run WordCountIT in Py35 with 1Gb files', - jobTriggerPhrase : 'Run Python35 WordCountIT Performance Test', - resultTable : 'beam_performance.wordcount_py35_pkb_results', - test : 'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it', - itModule : ':sdks:python:test-suites:dataflow:py35', - extraPipelineArgs : dataflowPipelineArgs + [ - input: 'gs://apache-beam-samples/input_small_files/ascii_sort_1MB_input.0000*', // 1Gb - output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output', - expect_checksum: 'ea0ca2e5ee4ea5f218790f28d0b9fe7d09d8d710', - num_workers: '10', - autoscaling_algorithm: 'NONE', // Disable autoscale the worker pool. - ], - ), - new PerformanceTestConfigurations( - jobName : 'beam_PerformanceTests_WordCountIT_Py36', - jobDescription : 'Python SDK Performance Test - Run WordCountIT in Py36 with 1Gb files', - jobTriggerPhrase : 'Run Python36 WordCountIT Performance Test', - resultTable : 'beam_performance.wordcount_py36_pkb_results', - test : 'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it', - itModule : ':sdks:python:test-suites:dataflow:py36', - extraPipelineArgs : dataflowPipelineArgs + [ - input: 'gs://apache-beam-samples/input_small_files/ascii_sort_1MB_input.0000*', // 1Gb - output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output', - expect_checksum: 'ea0ca2e5ee4ea5f218790f28d0b9fe7d09d8d710', - num_workers: '10', - autoscaling_algorithm: 'NONE', // Disable autoscale the worker pool. - ], - ), - new PerformanceTestConfigurations( - jobName : 'beam_PerformanceTests_WordCountIT_Py37', - jobDescription : 'Python SDK Performance Test - Run WordCountIT in Py37 with 1Gb files', - jobTriggerPhrase : 'Run Python37 WordCountIT Performance Test', - resultTable : 'beam_performance.wordcount_py37_pkb_results', - test : 'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it', - itModule : ':sdks:python:test-suites:dataflow:py37', - extraPipelineArgs : dataflowPipelineArgs + [ - input: 'gs://apache-beam-samples/input_small_files/ascii_sort_1MB_input.0000*', // 1Gb - output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output', - expect_checksum: 'ea0ca2e5ee4ea5f218790f28d0b9fe7d09d8d710', - num_workers: '10', - autoscaling_algorithm: 'NONE', // Disable autoscale the worker pool. - ], - ), -] - +testConfigurations = [] +pythonVersions = ['27', '35', '36', '37'] + +for (pythonVersion in pythonVersions) { Review comment: I'm not sure if I understand meaning of "dashboards" correctly here, but we are running tasks via proper python modules that have pythonVersion variable already set up, so there is no need to set -PpythonVersion manually. Edit: As far as I know there is no dashboard for those tests yet, we just publish the metrics results in BQ. I could add reporting to InfluxDB and draw grafana dashboards for this test, WDYT? ########## File path: .test-infra/jenkins/job_PerformanceTests_Python.groovy ########## @@ -58,117 +26,59 @@ def dataflowPipelineArgs = [ temp_location : 'gs://temp-storage-for-end-to-end-tests/temp-it', ] - -// Configurations of each Jenkins job. -def testConfigurations = [ - new PerformanceTestConfigurations( - jobName : 'beam_PerformanceTests_WordCountIT_Py27', - jobDescription : 'Python SDK Performance Test - Run WordCountIT in Py27 with 1Gb files', - jobTriggerPhrase : 'Run Python27 WordCountIT Performance Test', - resultTable : 'beam_performance.wordcount_py27_pkb_results', - test : 'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it', - itModule : ':sdks:python:test-suites:dataflow:py2', - extraPipelineArgs : dataflowPipelineArgs + [ - input: 'gs://apache-beam-samples/input_small_files/ascii_sort_1MB_input.0000*', // 1Gb - output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output', - expect_checksum: 'ea0ca2e5ee4ea5f218790f28d0b9fe7d09d8d710', - num_workers: '10', - autoscaling_algorithm: 'NONE', // Disable autoscale the worker pool. - ], - ), - new PerformanceTestConfigurations( - jobName : 'beam_PerformanceTests_WordCountIT_Py35', - jobDescription : 'Python SDK Performance Test - Run WordCountIT in Py35 with 1Gb files', - jobTriggerPhrase : 'Run Python35 WordCountIT Performance Test', - resultTable : 'beam_performance.wordcount_py35_pkb_results', - test : 'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it', - itModule : ':sdks:python:test-suites:dataflow:py35', - extraPipelineArgs : dataflowPipelineArgs + [ - input: 'gs://apache-beam-samples/input_small_files/ascii_sort_1MB_input.0000*', // 1Gb - output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output', - expect_checksum: 'ea0ca2e5ee4ea5f218790f28d0b9fe7d09d8d710', - num_workers: '10', - autoscaling_algorithm: 'NONE', // Disable autoscale the worker pool. - ], - ), - new PerformanceTestConfigurations( - jobName : 'beam_PerformanceTests_WordCountIT_Py36', - jobDescription : 'Python SDK Performance Test - Run WordCountIT in Py36 with 1Gb files', - jobTriggerPhrase : 'Run Python36 WordCountIT Performance Test', - resultTable : 'beam_performance.wordcount_py36_pkb_results', - test : 'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it', - itModule : ':sdks:python:test-suites:dataflow:py36', - extraPipelineArgs : dataflowPipelineArgs + [ - input: 'gs://apache-beam-samples/input_small_files/ascii_sort_1MB_input.0000*', // 1Gb - output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output', - expect_checksum: 'ea0ca2e5ee4ea5f218790f28d0b9fe7d09d8d710', - num_workers: '10', - autoscaling_algorithm: 'NONE', // Disable autoscale the worker pool. - ], - ), - new PerformanceTestConfigurations( - jobName : 'beam_PerformanceTests_WordCountIT_Py37', - jobDescription : 'Python SDK Performance Test - Run WordCountIT in Py37 with 1Gb files', - jobTriggerPhrase : 'Run Python37 WordCountIT Performance Test', - resultTable : 'beam_performance.wordcount_py37_pkb_results', - test : 'apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_it', - itModule : ':sdks:python:test-suites:dataflow:py37', - extraPipelineArgs : dataflowPipelineArgs + [ - input: 'gs://apache-beam-samples/input_small_files/ascii_sort_1MB_input.0000*', // 1Gb - output: 'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output', - expect_checksum: 'ea0ca2e5ee4ea5f218790f28d0b9fe7d09d8d710', - num_workers: '10', - autoscaling_algorithm: 'NONE', // Disable autoscale the worker pool. - ], - ), -] - +testConfigurations = [] +pythonVersions = ['27', '35', '36', '37'] + +for (pythonVersion in pythonVersions) { Review comment: I'm not sure if I understand meaning of "dashboards" correctly here, but we are running tasks via proper python modules that have pythonVersion variable already set up, so there is no need to set -PpythonVersion manually. Edit: As far as I know there is no dashboard for those tests yet, we just publish the metrics results in BQ. I could add reporting to InfluxDB and draw grafana dashboards for this test, WDYT? Edit2: I made changes to publish the results on the grafana dashboards ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 437304) Time Spent: 2h 40m (was: 2.5h) > Stop usign Perfkit Benchmarker tool in Python performance tests > --------------------------------------------------------------- > > Key: BEAM-7774 > URL: https://issues.apache.org/jira/browse/BEAM-7774 > Project: Beam > Issue Type: Sub-task > Components: testing > Reporter: Lukasz Gajowy > Assignee: Piotr Szuberski > Priority: P2 > Time Spent: 2h 40m > Remaining Estimate: 0h > -- This message was sent by Atlassian Jira (v8.3.4#803005)