| /* |
| * 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')) |
| |
| /** |
| * The test results for these load tests reside in BigQuery in the load_test/load_test_PRs table of the |
| * apache-beam-testing project. A dashboard is available here: |
| * https://apache-beam-testing.appspot.com/explore?dashboard=5751884853805056 |
| * |
| * For example: |
| * SELECT |
| * timestamp, value |
| * FROM |
| * apache-beam-testing.load_test_PRs.python_flink_batch_pardo_1 |
| * ORDER BY |
| * timestamp |
| * |
| * The following query has been been used to visualize the checkpoint results of python_flink_streaming_pardo_6: |
| * Select timestamp, min, sum/count as avg, max |
| * FROM ( |
| * SELECT |
| * timestamp, |
| * MAX(IF(metric LIKE "%\\_min\\_%", value, null)) min, |
| * MAX(IF(metric LIKE "%\\_sum\\_%", value, null)) sum, |
| * MAX(IF(metric LIKE "%\\_count\\_%", value, null)) count, |
| * MAX(IF(metric LIKE "%\\_max\\_%", value, null)) max |
| * FROM apache-beam-testing.load_test_PRs.python_flink_streaming_pardo_6 |
| * WHERE metric like "%loadgenerator/impulse%" |
| * GROUP BY test_id, timestamp |
| * ORDER BY timestamp |
| * ); |
| * |
| * Subsumed by the new Grafana dashboard: |
| * http://metrics.beam.apache.org/d/MOi-kf3Zk/pardo-load-tests?orgId=1&var-processingType=streaming&var-sdk=python |
| */ |
| |
| def batchScenarios = { datasetName -> |
| [ |
| [ |
| title : 'ParDo Python Load test: 20M 100 byte records 10 iterations', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| 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', |
| influx_measurement : 'python_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_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| ] |
| ], |
| // TODO(BEAM-10270): Takes too long time to execute (currently more than 3 hours). Re-enable |
| // the test after its overhead is reduced. |
| // [ |
| // title : 'ParDo Python Load test: 20M 100 byte records 200 times', |
| // test : 'apache_beam.testing.load_tests.pardo_test', |
| // 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', |
| // influx_measurement : 'python_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_type : 'DOCKER', |
| // environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| // ] |
| // ], |
| [ |
| title : 'ParDo Python Load test: 20M 100 byte records 10 counters', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| 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', |
| influx_measurement : 'python_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_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 20M 100 byte records 100 counters', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| 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', |
| influx_measurement : 'python_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_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| ] |
| ], |
| ].each { test -> test.pipelineOptions.putAll(additionalPipelineArgs) } |
| } |
| |
| def streamingScenarios = { datasetName -> |
| [ |
| [ |
| title : 'ParDo Python Stateful Streaming Load test: 2M 100 byte records', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-streaming-pardo-1-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| // Keep the old name to not break the legacy dashboard |
| metrics_table : 'python_flink_streaming_pardo_5', |
| influx_measurement : 'python_streaming_pardo_1', |
| input_options : '\'{' + |
| '"num_records": 2000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 10, |
| number_of_counter_operations: 0, |
| number_of_counters : 0, |
| parallelism : 5, |
| // Turn on streaming mode (flags are indicated with null values) |
| streaming : null, |
| stateful : null, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| use_stateful_load_generator: null, |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 20M 100 byte records 200 times', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-streaming-pardo-2-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : 'python_flink_streaming_pardo_2', |
| influx_measurement : 'python_streaming_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, |
| streaming : null, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| use_stateful_load_generator: null, |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 20M 100 byte records 10 counters', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-streaming-pardo-3-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : 'python_flink_streaming_pardo_3', |
| influx_measurement : 'python_streaming_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, |
| streaming : null, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| use_stateful_load_generator: null, |
| ] |
| ], |
| [ |
| title : 'ParDo Python Load test: 20M 100 byte records 100 counters', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-streaming-pardo-4-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : 'python_flink_streaming_pardo_4', |
| influx_measurement : 'python_streaming_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, |
| streaming : null, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| use_stateful_load_generator: null, |
| ] |
| ], |
| [ |
| title : 'ParDo Python Stateful Streaming with Checkpointing test: 2M 100 byte records', |
| test : 'apache_beam.testing.load_tests.pardo_test', |
| runner : CommonTestProperties.Runner.PORTABLE, |
| pipelineOptions: [ |
| job_name : 'load-tests-python-flink-streaming-pardo-6-' + now, |
| project : 'apache-beam-testing', |
| publish_to_big_query : true, |
| metrics_dataset : datasetName, |
| metrics_table : 'python_flink_streaming_pardo_6', |
| influx_measurement : 'python_streaming_pardo_6', |
| input_options : '\'{' + |
| '"num_records": 2000000,' + |
| '"key_size": 10,' + |
| '"value_size": 90}\'', |
| iterations : 5, |
| number_of_counter_operations: 10, |
| number_of_counters : 3, |
| parallelism : 5, |
| // Turn on streaming mode (flags are indicated with null values) |
| streaming : null, |
| stateful : null, |
| // Enable checkpointing every 10 seconds |
| checkpointing_interval : 10000, |
| // Report checkpointing stats to this namespace |
| report_checkpoint_duration : 'python_flink_streaming_pardo_6', |
| // Ensure that we can checkpoint the pipeline for at least 5 minutes to gather checkpointing stats |
| shutdown_sources_after_idle_ms: 300000, |
| job_endpoint : 'localhost:8099', |
| environment_type : 'DOCKER', |
| environment_config : "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}", |
| use_stateful_load_generator: null, |
| ] |
| ], |
| ].each { test -> test.pipelineOptions.putAll(additionalPipelineArgs) } |
| } |
| |
| def loadTestJob = { scope, triggeringContext, mode -> |
| def datasetName = loadTestsBuilder.getBigQueryDataset('load_test', triggeringContext) |
| def numberOfWorkers = 5 |
| List<Map> testScenarios = mode == 'batch' ? batchScenarios(datasetName) : streamingScenarios(datasetName) |
| |
| Flink flink = new Flink(scope, "beam_LoadTests_Python_ParDo_Flink_${mode.capitalize()}") |
| flink.setUp( |
| [ |
| "${DOCKER_CONTAINER_REGISTRY}/${DOCKER_BEAM_SDK_IMAGE}" |
| ], |
| numberOfWorkers, |
| "${DOCKER_CONTAINER_REGISTRY}/beam_flink1.10_job_server:latest") |
| |
| loadTestsBuilder.loadTests(scope, CommonTestProperties.SDK.PYTHON, testScenarios, 'ParDo', mode) |
| } |
| |
| PhraseTriggeringPostCommitBuilder.postCommitJob( |
| 'beam_LoadTests_Python_ParDo_Flink_Batch', |
| 'Run Load Tests Python ParDo Flink Batch', |
| 'Load Tests Python ParDo Flink Batch suite', |
| this |
| ) { |
| additionalPipelineArgs = [:] |
| loadTestJob(delegate, CommonTestProperties.TriggeringContext.PR, 'batch') |
| } |
| |
| PhraseTriggeringPostCommitBuilder.postCommitJob( |
| 'beam_LoadTests_Python_ParDo_Flink_Streaming', |
| 'Run Load Tests Python ParDo Flink Streaming', |
| 'Load Tests Python ParDo Flink Streaming suite', |
| this |
| ) { |
| additionalPipelineArgs = [:] |
| loadTestJob(delegate, CommonTestProperties.TriggeringContext.PR, 'streaming') |
| } |
| |
| CronJobBuilder.cronJob('beam_LoadTests_Python_ParDo_Flink_Batch', 'H 13 * * *', this) { |
| additionalPipelineArgs = [ |
| influx_db_name: InfluxDBCredentialsHelper.InfluxDBDatabaseName, |
| influx_hostname: InfluxDBCredentialsHelper.InfluxDBHostUrl, |
| ] |
| loadTestJob(delegate, CommonTestProperties.TriggeringContext.POST_COMMIT, 'batch') |
| } |
| |
| CronJobBuilder.cronJob('beam_LoadTests_Python_ParDo_Flink_Streaming', 'H 12 * * *', this) { |
| additionalPipelineArgs = [ |
| influx_db_name: InfluxDBCredentialsHelper.InfluxDBDatabaseName, |
| influx_hostname: InfluxDBCredentialsHelper.InfluxDBHostUrl, |
| ] |
| loadTestJob(delegate, CommonTestProperties.TriggeringContext.POST_COMMIT, 'streaming') |
| } |
