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
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