/**
* Copyright 2015 Netflix, Inc.
*
* 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 com.netflix.hystrix.perf;
import com.netflix.hystrix.strategy.properties.HystrixProperty;
import com.netflix.hystrix.util.HystrixRollingPercentile;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Group;
import org.openjdk.jmh.annotations.GroupThreads;
import org.openjdk.jmh.annotations.Level;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Param;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import java.util.Random;
import java.util.concurrent.TimeUnit;
public class RollingPercentilePerfTest {
@State(Scope.Thread)
public static class PercentileState {
HystrixRollingPercentile percentile;
@Param({"true", "false"})
public boolean percentileEnabled;
@Setup(Level.Iteration)
public void setUp() {
percentile = new HystrixRollingPercentile(100, 10, 1000, HystrixProperty.Factory.asProperty(percentileEnabled));
}
}
@State(Scope.Thread)
public static class LatencyState {
final Random r = new Random();
int latency;
@Setup(Level.Invocation)
public void setUp() {
latency = r.nextInt(100);
}
}
@Benchmark
@BenchmarkMode({Mode.Throughput})
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public HystrixRollingPercentile writeOnly(PercentileState percentileState, LatencyState latencyState) {
percentileState.percentile.addValue(latencyState.latency);
return percentileState.percentile;
}
@Benchmark
@BenchmarkMode({Mode.Throughput})
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public int readOnly(PercentileState percentileState) {
HystrixRollingPercentile percentile = percentileState.percentile;
return percentile.getMean() +
percentile.getPercentile(10) +
percentile.getPercentile(25) +
percentile.getPercentile(50) +
percentile.getPercentile(75) +
percentile.getPercentile(90) +
percentile.getPercentile(95) +
percentile.getPercentile(99) +
percentile.getPercentile(99.5);
}
@Benchmark
@Group("writeHeavy")
@GroupThreads(7)
@BenchmarkMode({Mode.Throughput})
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public HystrixRollingPercentile writeHeavyLatencyAdd(PercentileState percentileState, LatencyState latencyState) {
percentileState.percentile.addValue(latencyState.latency);
return percentileState.percentile;
}
@Benchmark
@Group("writeHeavy")
@GroupThreads(1)
@BenchmarkMode({Mode.Throughput})
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public int writeHeavyReadMetrics(PercentileState percentileState) {
HystrixRollingPercentile percentile = percentileState.percentile;
return percentile.getMean() +
percentile.getPercentile(10) +
percentile.getPercentile(25) +
percentile.getPercentile(50) +
percentile.getPercentile(75) +
percentile.getPercentile(90) +
percentile.getPercentile(95) +
percentile.getPercentile(99) +
percentile.getPercentile(99.5);
}
@Benchmark
@Group("evenSplit")
@GroupThreads(4)
@BenchmarkMode({Mode.Throughput})
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public HystrixRollingPercentile evenSplitLatencyAdd(PercentileState percentileState, LatencyState latencyState) {
percentileState.percentile.addValue(latencyState.latency);
return percentileState.percentile;
}
@Benchmark
@Group("evenSplit")
@GroupThreads(4)
@BenchmarkMode({Mode.Throughput})
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public int evenSplitReadMetrics(PercentileState percentileState) {
HystrixRollingPercentile percentile = percentileState.percentile;
return percentile.getMean() +
percentile.getPercentile(10) +
percentile.getPercentile(25) +
percentile.getPercentile(50) +
percentile.getPercentile(75) +
percentile.getPercentile(90) +
percentile.getPercentile(95) +
percentile.getPercentile(99) +
percentile.getPercentile(99.5);
}
@Benchmark
@Group("readHeavy")
@GroupThreads(1)
@BenchmarkMode({Mode.Throughput})
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public HystrixRollingPercentile readHeavyLatencyAdd(PercentileState percentileState, LatencyState latencyState) {
percentileState.percentile.addValue(latencyState.latency);
return percentileState.percentile;
}
@Benchmark
@Group("readHeavy")
@GroupThreads(7)
@BenchmarkMode({Mode.Throughput})
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public int readHeavyReadMetrics(PercentileState percentileState) {
HystrixRollingPercentile percentile = percentileState.percentile;
return percentile.getMean() +
percentile.getPercentile(10) +
percentile.getPercentile(25) +
percentile.getPercentile(50) +
percentile.getPercentile(75) +
percentile.getPercentile(90) +
percentile.getPercentile(95) +
percentile.getPercentile(99) +
percentile.getPercentile(99.5);
}
}