/**
* 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));
}
}