/** * Copyright 2017 Pivotal Software, 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 org.springframework.metrics.benchmark; import com.netflix.spectator.api.Counter; import org.openjdk.jmh.annotations.*; import java.util.concurrent.TimeUnit; @BenchmarkMode(Mode.AverageTime) @OutputTimeUnit(TimeUnit.NANOSECONDS) @State(Scope.Benchmark) public class CounterBenchmark extends AbstractCollectorBenchmark { private Counter spectatorCounter; private com.codahale.metrics.Counter dropwizardCounter; @Setup public void setup() { spectatorCounter = spectatorRegistry.counter("count"); dropwizardCounter = dropwizardRegistry.counter("count"); } @Benchmark public void spectatorCounter() { spectatorCounter.increment(); } @Benchmark public void bootCounter() { bootCounterService.increment("count"); } @Benchmark public void prometheusCounter() { prometheusCounter.inc(); } @Benchmark public void datadogStatsdCounter() { statsd.incrementCounter("count"); } @Benchmark public void dropwizardCounter() { dropwizardCounter.inc(); } }