| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| import CommonJobProperties as commonJobProperties |
| import CommonTestProperties |
| import LoadTestsBuilder as loadTestsBuilder |
| import PhraseTriggeringPostCommitBuilder |
| import Flink |
| import Docker |
| |
| String now = new Date().format("MMddHHmmss", TimeZone.getTimeZone('UTC')) |
| |
| def scenarios = { datasetName, sdkHarnessImageTag -> [ |
| [ |
| title : 'ParDo Python Load test: 2GB 100 byte records 10 times', |
| test : 'apache_beam.testing.load_tests.pardo_test:ParDoTest.testParDo', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-batch-pardo-1-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : 'python_flink_batch_pardo_1', |
| input_options : '\'{' + |
| '"num_records": 20000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 10, |
| number_of_counter_operations: 0, |
| number_of_counters : 0, |
| parallelism : 5, |
| job_endpoint : 'localhost:8099', |
| environment_config : sdkHarnessImageTag, |
| environment_type : 'DOCKER', |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 2GB 100 byte records 200 times', |
| test : 'apache_beam.testing.load_tests.pardo_test:ParDoTest.testParDo', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-batch-pardo-2-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : 'python_flink_batch_pardo_2', |
| input_options : '\'{' + |
| '"num_records": 20000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 200, |
| number_of_counter_operations: 0, |
| number_of_counters : 0, |
| parallelism : 5, |
| job_endpoint : 'localhost:8099', |
| environment_config : sdkHarnessImageTag, |
| environment_type : 'DOCKER', |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 2GB 100 byte records 10 counters', |
| test : 'apache_beam.testing.load_tests.pardo_test:ParDoTest.testParDo', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-batch-pardo-3-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : 'python_flink_batch_pardo_3', |
| input_options : '\'{' + |
| '"num_records": 20000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 1, |
| number_of_counter_operations: 10, |
| number_of_counters : 1, |
| parallelism : 5, |
| job_endpoint : 'localhost:8099', |
| environment_config : sdkHarnessImageTag, |
| environment_type : 'DOCKER', |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 2GB 100 byte records 100 counters', |
| test : 'apache_beam.testing.load_tests.pardo_test:ParDoTest.testParDo', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-batch-pardo-4-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : 'python_flink_batch_pardo_4', |
| input_options : '\'{' + |
| '"num_records": 20000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 1, |
| number_of_counter_operations: 100, |
| number_of_counters : 1, |
| parallelism : 5, |
| job_endpoint : 'localhost:8099', |
| environment_config : sdkHarnessImageTag, |
| environment_type : 'DOCKER', |
| ] |
| ], |
| ]} |
| |
| def loadTest = { scope, triggeringContext -> |
| Docker publisher = new Docker(scope, loadTestsBuilder.DOCKER_CONTAINER_REGISTRY) |
| String pythonHarnessImageTag = publisher.getFullImageName('python2.7_sdk') |
| |
| def datasetName = loadTestsBuilder.getBigQueryDataset('load_test', triggeringContext) |
| def numberOfWorkers = 5 |
| List<Map> testScenarios = scenarios(datasetName, pythonHarnessImageTag) |
| |
| publisher.publish(':sdks:python:container:py2:docker', 'python2.7_sdk') |
| publisher.publish(':runners:flink:1.9:job-server-container:docker', 'flink-job-server') |
| Flink flink = new Flink(scope, 'beam_LoadTests_Python_ParDo_Flink_Batch') |
| flink.setUp([pythonHarnessImageTag], numberOfWorkers, publisher.getFullImageName('flink-job-server')) |
| |
| loadTestsBuilder.loadTests(scope, CommonTestProperties.SDK.PYTHON, testScenarios, 'ParDo', 'batch') |
| } |
| |
| PhraseTriggeringPostCommitBuilder.postCommitJob( |
| 'beam_LoadTests_Python_ParDo_Flink_Batch', |
| 'Run Python Load Tests ParDo Flink Batch', |
| 'Load Tests Python ParDo Flink Batch suite', |
| this |
| ) { |
| loadTest(delegate, CommonTestProperties.TriggeringContext.PR) |
| } |
| |
| CronJobBuilder.cronJob('beam_LoadTests_Python_ParDo_Flink_Batch', 'H 13 * * *', this) { |
| loadTest(delegate, CommonTestProperties.TriggeringContext.POST_COMMIT) |
| } |