| /* |
| * 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 InfluxDBCredentialsHelper |
| |
| import static LoadTestsBuilder.DOCKER_CONTAINER_REGISTRY |
| import static LoadTestsBuilder.DOCKER_BEAM_SDK_IMAGE |
| |
| String now = new Date().format("MMddHHmmss", TimeZone.getTimeZone('UTC')) |
| |
| def scenarios = { datasetName -> |
| [ |
| [ |
| title : 'Load test: 2GB of 10B records', |
| test : 'apache_beam.testing.load_tests.group_by_key_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : "load_tests_Python_Flink_Batch_GBK_1_${now}", |
| publish_to_big_query: true, |
| project : 'apache-beam-testing', |
| metrics_dataset : datasetName, |
| metrics_table : "python_flink_batch_GBK_1", |
| influx_measurement : 'python_batch_gkb_1', |
| input_options : '\'{"num_records": 200000000,"key_size": 1,"value_size":9}\'', |
| iterations : 1, |
| fanout : 1, |
| parallelism : 5, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| ] |
| ], |
| [ |
| title : 'Load test: 2GB of 100B records', |
| test : 'apache_beam.testing.load_tests.group_by_key_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : "load_tests_Python_Flink_Batch_GBK_2_${now}", |
| publish_to_big_query: true, |
| project : 'apache-beam-testing', |
| metrics_dataset : datasetName, |
| metrics_table : "python_flink_batch_GBK_2", |
| influx_measurement : 'python_batch_gbk_2', |
| input_options : '\'{"num_records": 20000000,"key_size": 10,"value_size":90}\'', |
| iterations : 1, |
| fanout : 1, |
| parallelism : 5, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| ] |
| ], |
| [ |
| title : 'Load test: fanout 4 times with 2GB 10-byte records total', |
| test : 'apache_beam.testing.load_tests.group_by_key_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : "load_tests_Python_Flink_Batch_GBK_4_${now}", |
| publish_to_big_query: true, |
| project : 'apache-beam-testing', |
| metrics_dataset : datasetName, |
| metrics_table : "python_flink_batch_GBK_4", |
| influx_measurement : 'python_batch_gbk_4', |
| input_options : '\'{"num_records": 5000000,"key_size": 10,"value_size":90}\'', |
| iterations : 1, |
| fanout : 4, |
| parallelism : 16, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| ] |
| ], |
| [ |
| title : 'Load test: fanout 8 times with 2GB 10-byte records total', |
| test : 'apache_beam.testing.load_tests.group_by_key_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : "load_tests_Python_Flink_Batch_GBK_5_${now}", |
| publish_to_big_query: true, |
| project : 'apache-beam-testing', |
| metrics_dataset : datasetName, |
| metrics_table : "python_flink_batch_GBK_5", |
| influx_measurement : 'python_batch_gbk_5', |
| input_options : '\'{"num_records": 2500000,"key_size": 10,"value_size":90}\'', |
| iterations : 1, |
| fanout : 8, |
| parallelism : 16, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| ] |
| ], |
| [ |
| title : 'Load test: reiterate 4 times 10kB values', |
| test : 'apache_beam.testing.load_tests.group_by_key_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : "load_tests_Python_Flink_Batch_GBK_6_${now}", |
| publish_to_big_query: true, |
| project : 'apache-beam-testing', |
| metrics_dataset : datasetName, |
| metrics_table : "python_flink_batch_GBK_6", |
| influx_measurement : 'python_batch_gbk_6', |
| input_options : '\'{"num_records": 20000000,"key_size": 10,"value_size":90, "num_hot_keys": 200, "hot_key_fraction": 1}\'', |
| iterations : 4, |
| fanout : 1, |
| parallelism : 5, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| ] |
| ], |
| ].each { test -> test.pipelineOptions.putAll(additionalPipelineArgs) } |
| } |
| |
| def loadTest = { scope, triggeringContext -> |
| def sdk = CommonTestProperties.SDK.PYTHON |
| |
| def datasetName = loadTestsBuilder.getBigQueryDataset('load_test', triggeringContext) |
| def numberOfWorkers = 16 |
| List<Map> testScenarios = scenarios(datasetName) |
| |
| def flink = new Flink(scope, 'beam_LoadTests_Python_GBK_Flink_Batch') |
| flink.setUp( |
| [ |
| "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}" |
| ], |
| numberOfWorkers, |
| "${DOCKER_CONTAINER_REGISTRY}/beam_flink1.10_job_server:latest") |
| |
| def configurations = testScenarios.findAll { it.pipelineOptions?.parallelism?.value == numberOfWorkers } |
| loadTestsBuilder.loadTests(scope, sdk, configurations, "GBK", "batch") |
| |
| numberOfWorkers = 5 |
| flink.scaleCluster(numberOfWorkers) |
| |
| configurations = testScenarios.findAll { it.pipelineOptions?.parallelism?.value == numberOfWorkers } |
| loadTestsBuilder.loadTests(scope, sdk, configurations, "GBK", "batch") |
| } |
| |
| PhraseTriggeringPostCommitBuilder.postCommitJob( |
| 'beam_LoadTests_Python_GBK_Flink_Batch', |
| 'Run Load Tests Python GBK Flink Batch', |
| 'Load Tests Python GBK Flink Batch suite', |
| this |
| ) { |
| additionalPipelineArgs = [:] |
| loadTest(delegate, CommonTestProperties.TriggeringContext.PR) |
| } |
| |
| // TODO(BEAM-9761) Re-enable auto builds after these tests pass. |
