yunfengzhou-hub commented on a change in pull request #71: URL: https://github.com/apache/flink-ml/pull/71#discussion_r840253077
########## File path: flink-ml-benchmark/src/main/java/org/apache/flink/ml/benchmark/BenchmarkUtils.java ########## @@ -0,0 +1,151 @@ +/* + * 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. + */ + +package org.apache.flink.ml.benchmark; + +import org.apache.flink.api.common.JobExecutionResult; +import org.apache.flink.core.fs.Path; +import org.apache.flink.ml.api.AlgoOperator; +import org.apache.flink.ml.api.Estimator; +import org.apache.flink.ml.api.Model; +import org.apache.flink.ml.api.Stage; +import org.apache.flink.ml.benchmark.generator.DataGenerator; +import org.apache.flink.ml.common.datastream.TableUtils; +import org.apache.flink.ml.util.ReadWriteUtils; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +import org.apache.flink.table.api.Table; +import org.apache.flink.table.api.bridge.java.StreamTableEnvironment; +import org.apache.flink.util.Preconditions; + +import java.io.IOException; +import java.util.List; +import java.util.Map; +import java.util.concurrent.TimeUnit; +import java.util.stream.Collectors; + +/** Utility methods for benchmarks. */ +public class BenchmarkUtils { + /** + * Instantiates a benchmark from its parameter map and executes the benchmark in the provided + * environment. + * + * @return Results of the executed benchmark. + */ + @SuppressWarnings({"unchecked", "rawtypes"}) + public static BenchmarkResult runBenchmark( + StreamTableEnvironment tEnv, String name, Map<String, ?> params) throws Exception { + Stage stage = ReadWriteUtils.instantiateWithParams((Map<String, ?>) params.get("stage")); + DataGenerator inputsGenerator = + ReadWriteUtils.instantiateWithParams((Map<String, ?>) params.get("inputs")); + DataGenerator modelDataGenerator = null; + if (params.containsKey("modelData")) { + modelDataGenerator = + ReadWriteUtils.instantiateWithParams((Map<String, ?>) params.get("modelData")); + } + + return runBenchmark(tEnv, name, stage, inputsGenerator, modelDataGenerator); + } + + /** + * Executes a benchmark from a stage with its inputsGenerator in the provided environment. + * + * @return Results of the executed benchmark. + */ + public static BenchmarkResult runBenchmark( + StreamTableEnvironment tEnv, + String name, + Stage<?> stage, + DataGenerator<?> inputsGenerator) + throws Exception { + return runBenchmark(tEnv, name, stage, inputsGenerator, null); + } + + /** + * Executes a benchmark from a stage with its inputsGenerator and modelDataGenerator in the + * provided environment. + * + * @return Results of the executed benchmark. + */ + public static BenchmarkResult runBenchmark( + StreamTableEnvironment tEnv, + String name, + Stage<?> stage, + DataGenerator<?> inputsGenerator, + DataGenerator<?> modelDataGenerator) + throws Exception { + StreamExecutionEnvironment env = TableUtils.getExecutionEnvironment(tEnv); + + Table[] inputTables = inputsGenerator.getData(tEnv); + if (modelDataGenerator != null) { + ((Model<?>) stage).setModelData(modelDataGenerator.getData(tEnv)); + } + + Table[] outputTables; + if (stage instanceof Estimator) { + outputTables = ((Estimator<?, ?>) stage).fit(inputTables).getModelData(); + } else if (stage instanceof AlgoOperator) { + outputTables = ((AlgoOperator<?>) stage).transform(inputTables); + } else { + throw new IllegalArgumentException("Unsupported Stage class " + stage.getClass()); + } + + for (Table table : outputTables) { + tEnv.toDataStream(table).addSink(new CountingAndDiscardingSink<>()); + } + + JobExecutionResult executionResult = env.execute(); + + BenchmarkResult result = new BenchmarkResult(); + result.name = name; + result.totalTimeMs = (double) executionResult.getNetRuntime(TimeUnit.MILLISECONDS); + result.inputRecordNum = inputsGenerator.getNumData(); + result.inputThroughput = result.inputRecordNum * 1000.0 / result.totalTimeMs; + result.outputRecordNum = + executionResult.getAccumulatorResult(CountingAndDiscardingSink.COUNTER_NAME); + result.outputThroughput = result.outputRecordNum * 1000.0 / result.totalTimeMs; + + return result; + } + + /** Prints out the provided benchmark result. */ + public static void printResult(BenchmarkResult result) { Review comment: I think we still need to print out the benchmark results in the terminal. I'll rewrite `printResult` so that it prints in json format. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
