/** * Copyright (c) 2016-present, RxJava Contributors. * * Licensed 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 io.reactivex; import java.util.*; import java.util.concurrent.TimeUnit; import org.openjdk.jmh.annotations.*; import org.openjdk.jmh.infra.Blackhole; import io.reactivex.functions.Function; @BenchmarkMode(Mode.Throughput) @Warmup(iterations = 5) @Measurement(iterations = 5, time = 1, timeUnit = TimeUnit.SECONDS) @OutputTimeUnit(TimeUnit.SECONDS) @Fork(value = 1) @State(Scope.Thread) public class FlattenCrossMapPerf { @Param({ "1", "10", "100", "1000", "10000", "100000", "1000000" }) public int times; Flowable<Integer> flowable; Observable<Integer> observable; @Setup public void setup() { Integer[] array = new Integer[times]; Arrays.fill(array, 777); Integer[] arrayInner = new Integer[1000000 / times]; Arrays.fill(arrayInner, 888); final Iterable<Integer> list = Arrays.asList(arrayInner); flowable = Flowable.fromArray(array).flatMapIterable(new Function<Integer, Iterable<Integer>>() { @Override public Iterable<Integer> apply(Integer v) throws Exception { return list; } }); observable = Observable.fromArray(array).flatMapIterable(new Function<Integer, Iterable<Integer>>() { @Override public Iterable<Integer> apply(Integer v) throws Exception { return list; } }); } @Benchmark public void flowable(Blackhole bh) { flowable.subscribe(new PerfConsumer(bh)); } @Benchmark public void observable(Blackhole bh) { observable.subscribe(new PerfConsumer(bh)); } }