| /* |
| * 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 LoadTestsBuilder as loadTestsBuilder |
| import PhraseTriggeringPostCommitBuilder |
| import InfluxDBCredentialsHelper |
| |
| def now = new Date().format("MMddHHmmss", TimeZone.getTimeZone('UTC')) |
| |
| def loadTestConfigurations = { mode, datasetName -> |
| [ |
| [ |
| title : 'ParDo Python Load test: 2GB 100 byte records 10 times', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.DATAFLOW, |
| pipelineOptions: [ |
| job_name : "load-tests-python-dataflow-${mode}-pardo-1-${now}", |
| project : 'apache-beam-testing', |
| region : 'us-central1', |
| temp_location : 'gs://temp-storage-for-perf-tests/loadtests', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : "python_dataflow_${mode}_pardo_1", |
| influx_measurement : "python_${mode}_pardo_1", |
| input_options : '\'{' + |
| '"num_records": 20000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 10, |
| number_of_counter_operations: 0, |
| number_of_counters : 0, |
| num_workers : 5, |
| autoscaling_algorithm: 'NONE', |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 2GB 100 byte records 200 times', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.DATAFLOW, |
| pipelineOptions: [ |
| job_name : "load-tests-python-dataflow-${mode}-pardo-2-${now}", |
| project : 'apache-beam-testing', |
| region : 'us-central1', |
| temp_location : 'gs://temp-storage-for-perf-tests/loadtests', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : "python_dataflow_${mode}_pardo_2", |
| influx_measurement : "python_${mode}_pardo_2", |
| input_options : '\'{' + |
| '"num_records": 20000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 200, |
| number_of_counter_operations: 0, |
| number_of_counters : 0, |
| num_workers : 5, |
| autoscaling_algorithm: 'NONE', |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 2GB 100 byte records 10 counters', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.DATAFLOW, |
| pipelineOptions: [ |
| job_name : "load-tests-python-dataflow-${mode}-pardo-3-${now}", |
| project : 'apache-beam-testing', |
| region : 'us-central1', |
| temp_location : 'gs://temp-storage-for-perf-tests/loadtests', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : "python_dataflow_${mode}_pardo_3", |
| influx_measurement : "python_${mode}_pardo_3", |
| input_options : '\'{' + |
| '"num_records": 20000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 1, |
| number_of_counter_operations: 10, |
| number_of_counters : 1, |
| num_workers : 5, |
| autoscaling_algorithm: 'NONE', |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 2GB 100 byte records 100 counters', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.DATAFLOW, |
| pipelineOptions: [ |
| job_name : "load-tests-python-dataflow-${mode}-pardo-4-${now}", |
| project : 'apache-beam-testing', |
| region : 'us-central1', |
| temp_location : 'gs://temp-storage-for-perf-tests/loadtests', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : "python_dataflow_${mode}_pardo_4", |
| influx_measurement : "python_${mode}_pardo_4", |
| input_options : '\'{' + |
| '"num_records": 20000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 1, |
| number_of_counter_operations: 100, |
| number_of_counters : 1, |
| num_workers : 5, |
| autoscaling_algorithm: 'NONE', |
| ] |
| ], |
| ].each { test -> test.pipelineOptions.putAll(additionalPipelineArgs) } |
| .each{ test -> (mode != 'streaming') ?: addStreamingOptions(test) } |
| } |
| |
| def addStreamingOptions(test) { |
| test.pipelineOptions << [ |
| streaming: null, |
| // Use the new Dataflow runner, which offers improved efficiency of Dataflow jobs. |
| // See https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline#dataflow-runner-v2 |
| // for more details. |
| // TODO(BEAM-11779) remove shuffle_mode=appliance with runner v2 once issue is resolved. |
| experiments: 'use_runner_v2, shuffle_mode=appliance', |
| ] |
| } |
| |
| def loadTestJob = { scope, triggeringContext, jobType -> |
| scope.description("Runs Python ParDo load tests on Dataflow runner in ${jobType} mode") |
| commonJobProperties.setTopLevelMainJobProperties(scope, 'master', 120) |
| |
| def datasetName = loadTestsBuilder.getBigQueryDataset('load_test', triggeringContext) |
| for (testConfiguration in loadTestConfigurations(jobType, datasetName)) { |
| loadTestsBuilder.loadTest(scope, testConfiguration.title, testConfiguration.runner, CommonTestProperties.SDK.PYTHON, testConfiguration.pipelineOptions, testConfiguration.test) |
| } |
| } |
| |
| PhraseTriggeringPostCommitBuilder.postCommitJob( |
| 'beam_LoadTests_Python_ParDo_Dataflow_Batch', |
| 'Run Load Tests Python ParDo Dataflow Batch', |
| 'Load Tests Python ParDo Dataflow Batch suite', |
| this |
| ) { |
| additionalPipelineArgs = [:] |
| loadTestJob(delegate, CommonTestProperties.TriggeringContext.PR, "batch") |
| } |
| |
| CronJobBuilder.cronJob('beam_LoadTests_Python_ParDo_Dataflow_Batch', 'H 13 * * *', this) { |
| additionalPipelineArgs = [ |
| influx_db_name: InfluxDBCredentialsHelper.InfluxDBDatabaseName, |
| influx_hostname: InfluxDBCredentialsHelper.InfluxDBHostUrl, |
| ] |
| loadTestJob(delegate, CommonTestProperties.TriggeringContext.POST_COMMIT, "batch") |
| } |
| |
| PhraseTriggeringPostCommitBuilder.postCommitJob( |
| 'beam_LoadTests_Python_ParDo_Dataflow_Streaming', |
| 'Run Python Load Tests ParDo Dataflow Streaming', |
| 'Load Tests Python ParDo Dataflow Streaming suite', |
| this |
| ) { |
| additionalPipelineArgs = [:] |
| loadTestJob(delegate, CommonTestProperties.TriggeringContext.PR, "streaming") |
| } |
| |
| CronJobBuilder.cronJob('beam_LoadTests_Python_ParDo_Dataflow_Streaming', 'H 13 * * *', this) { |
| additionalPipelineArgs = [ |
| influx_db_name: InfluxDBCredentialsHelper.InfluxDBDatabaseName, |
| influx_hostname: InfluxDBCredentialsHelper.InfluxDBHostUrl, |
| ] |
| loadTestJob(delegate, CommonTestProperties.TriggeringContext.POST_COMMIT, "streaming") |
| } |
