| /* |
| * 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.cassandra.test.microbench; |
| |
| import java.util.concurrent.ThreadLocalRandom; |
| import java.util.concurrent.TimeUnit; |
| |
| import org.apache.cassandra.metrics.CassandraMetricsRegistry; |
| import org.apache.cassandra.metrics.DecayingEstimatedHistogramReservoir; |
| import org.apache.cassandra.metrics.LatencyMetrics; |
| import org.apache.cassandra.metrics.MetricNameFactory; |
| import org.openjdk.jmh.annotations.Benchmark; |
| import org.openjdk.jmh.annotations.BenchmarkMode; |
| import org.openjdk.jmh.annotations.Fork; |
| import org.openjdk.jmh.annotations.Level; |
| import org.openjdk.jmh.annotations.Measurement; |
| import org.openjdk.jmh.annotations.Mode; |
| import org.openjdk.jmh.annotations.OperationsPerInvocation; |
| import org.openjdk.jmh.annotations.OutputTimeUnit; |
| import org.openjdk.jmh.annotations.Scope; |
| import org.openjdk.jmh.annotations.Setup; |
| import org.openjdk.jmh.annotations.State; |
| import org.openjdk.jmh.annotations.Threads; |
| import org.openjdk.jmh.annotations.Warmup; |
| import org.openjdk.jmh.infra.Blackhole; |
| |
| @BenchmarkMode(Mode.Throughput) |
| @OutputTimeUnit(TimeUnit.SECONDS) |
| @Warmup(iterations = 3, time = 1, timeUnit = TimeUnit.SECONDS) |
| @Measurement(iterations = 5, time = 2, timeUnit = TimeUnit.SECONDS) |
| @Fork(value = 1, jvmArgsAppend = { "-Xmx512M", "-Djmh.executor=CUSTOM", "-Djmh.executor.class=org.apache.cassandra.test.microbench.FastThreadExecutor"}) |
| @Threads(4) // make sure this matches the number of _physical_cores_ |
| @State(Scope.Benchmark) |
| public class LatencyTrackingBench |
| { |
| private LatencyMetrics metrics; |
| private LatencyMetrics parent; |
| private LatencyMetrics grandParent; |
| private DecayingEstimatedHistogramReservoir dehr; |
| private final MetricNameFactory factory = new BenchMetricsNameFactory(); |
| private long[] values = new long[1024]; |
| |
| class BenchMetricsNameFactory implements MetricNameFactory |
| { |
| |
| @Override |
| public CassandraMetricsRegistry.MetricName createMetricName(String metricName) |
| { |
| return new CassandraMetricsRegistry.MetricName(BenchMetricsNameFactory.class, metricName); |
| } |
| } |
| |
| @Setup(Level.Iteration) |
| public void setup() |
| { |
| parent = new LatencyMetrics("test", "testCF"); |
| grandParent = new LatencyMetrics("test", "testCF"); |
| |
| // Replicates behavior from ColumnFamilyStore metrics |
| metrics = new LatencyMetrics(factory, "testCF", parent, grandParent); |
| dehr = new DecayingEstimatedHistogramReservoir(false); |
| for(int i = 0; i < 1024; i++) |
| { |
| values[i] = TimeUnit.MICROSECONDS.toNanos(ThreadLocalRandom.current().nextLong(346)); |
| } |
| } |
| |
| @Setup(Level.Invocation) |
| public void reset() |
| { |
| dehr = new DecayingEstimatedHistogramReservoir(false); |
| metrics.release(); |
| metrics = new LatencyMetrics(factory, "testCF", parent, grandParent); |
| } |
| |
| @Benchmark |
| @OperationsPerInvocation(1024) |
| public void benchLatencyMetricsWrite() |
| { |
| for(int i = 0; i < values.length; i++) |
| { |
| metrics.addNano(values[i]); |
| } |
| } |
| |
| @Benchmark |
| @OperationsPerInvocation(1024) |
| public void benchInsertToDEHR(Blackhole bh) |
| { |
| for(int i = 0; i < values.length; i++) |
| { |
| dehr.update(values[i]); |
| } |
| bh.consume(dehr); |
| } |
| } |