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/*
* 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.ignite.internal.benchmarks.jmh.sequence;
import java.util.concurrent.ThreadLocalRandom;
import org.apache.ignite.Ignite;
import org.apache.ignite.IgniteAtomicSequence;
import org.apache.ignite.Ignition;
import org.apache.ignite.configuration.AtomicConfiguration;
import org.apache.ignite.configuration.IgniteConfiguration;
import org.apache.ignite.internal.benchmarks.jmh.JmhAbstractBenchmark;
import org.apache.ignite.internal.benchmarks.jmh.runner.JmhIdeBenchmarkRunner;
import org.apache.ignite.spi.discovery.tcp.TcpDiscoverySpi;
import org.apache.ignite.spi.discovery.tcp.ipfinder.vm.TcpDiscoveryVmIpFinder;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.TearDown;
import static org.apache.ignite.internal.benchmarks.jmh.runner.JmhIdeBenchmarkRunner.createProperty;
/**
* JMH benchmark for {@link IgniteAtomicSequence}.
*/
public class JmhSequenceBenchmark extends JmhAbstractBenchmark {
/** Property: nodes count. */
private static final String PROP_DATA_NODES = "ignite.jmh.sequence.dataNodes";
/** Property: client mode flag. */
private static final String PROP_CLIENT_MODE = "ignite.jmh.sequence.clientMode";
/** Property: reservation batch size. */
private static final String PROP_BATCH_SIZE = "ignite.jmh.sequence.batchSize";
/** */
@State(Scope.Benchmark)
public static class SequenceState {
/** IP finder shared across nodes. */
private static final TcpDiscoveryVmIpFinder IP_FINDER = new TcpDiscoveryVmIpFinder(true);
/** 1/10 of batchSize. */
private int randomBound;
/** */
private IgniteAtomicSequence seq;
/**
* Setup.
*/
@Setup
public void setup() {
Ignite node = Ignition.start(configuration("NODE_0"));
int nodes = intProperty(PROP_DATA_NODES, 4);
for (int i = 1; i < nodes; i++)
Ignition.start(configuration("NODE_" + i));
boolean isClient = booleanProperty(PROP_CLIENT_MODE);
if (isClient) {
IgniteConfiguration clientCfg = configuration("client");
clientCfg.setClientMode(true);
node = Ignition.start(clientCfg);
}
AtomicConfiguration acfg = new AtomicConfiguration();
int batchSize = intProperty(PROP_BATCH_SIZE);
randomBound = batchSize < 10 ? 1 : batchSize / 10;
acfg.setAtomicSequenceReserveSize(batchSize);
seq = node.atomicSequence("seq", acfg, 0, true);
}
/**
* Create Ignite configuration.
*
* @param igniteInstanceName Ignite instance name.
* @return Configuration.
*/
private IgniteConfiguration configuration(String igniteInstanceName) {
IgniteConfiguration cfg = new IgniteConfiguration();
cfg.setIgniteInstanceName(igniteInstanceName);
cfg.setLocalHost("127.0.0.1");
TcpDiscoverySpi discoSpi = new TcpDiscoverySpi();
discoSpi.setIpFinder(IP_FINDER);
cfg.setDiscoverySpi(discoSpi);
return cfg;
}
/**
* Tear down routine.
*/
@TearDown
public void tearDown() {
Ignition.stopAll(true);
}
}
/**
* Run benchmarks.
*
* @param args Arguments.
* @throws Exception If failed.
*/
public static void main(String[] args) throws Exception {
run(false, 4, 10_000);
run(false, 4, 100_000);
run(true, 4, 10_000);
run(true, 4, 100_000);
}
/**
* @param client Client node.
* @param dataNodes Number of data nodes.
* @param batchSize Batch size.
* @throws Exception If failed.
*/
private static void run(boolean client, int dataNodes, int batchSize) throws Exception {
String simpleClsName = JmhSequenceBenchmark.class.getSimpleName();
String output = simpleClsName +
"-" + (client ? "client" : "data") +
"-" + dataNodes +
"-" + batchSize;
JmhIdeBenchmarkRunner.create()
.forks(1)
.threads(5)
.warmupIterations(10)
.measurementIterations(20)
.output(output + ".jmh.log")
.benchmarks(JmhSequenceBenchmark.class.getSimpleName())
.jvmArguments(
"-Xms4g",
"-Xmx4g",
createProperty(PROP_BATCH_SIZE, batchSize),
createProperty(PROP_DATA_NODES, dataNodes),
createProperty(PROP_CLIENT_MODE, client)
)
.run();
}
/**
* Benchmark for {@link IgniteAtomicSequence#incrementAndGet} operation.
*
* @return Long new value.
*/
@Benchmark
public long incrementAndGet(SequenceState state) {
return state.seq.incrementAndGet();
}
/**
* Benchmark for {@link IgniteAtomicSequence#getAndIncrement()} operation.
*
* @return Long previous value.
*/
@Benchmark
public long getAndIncrement(SequenceState state) {
return state.seq.getAndIncrement();
}
/**
* Benchmark for {@link IgniteAtomicSequence#addAndGet(long)} operation.
*
* @return Long new value.
*/
@Benchmark
public long addAndGet(SequenceState state) {
int key = ThreadLocalRandom.current().nextInt(state.randomBound) + 1;
return state.seq.getAndAdd(key);
}
/**
* Benchmark for {@link IgniteAtomicSequence#getAndAdd(long)} operation.
*
* @return Long previous value.
*/
@Benchmark
public long getAndAdd(SequenceState state) {
int key = ThreadLocalRandom.current().nextInt(state.randomBound) + 1;
return state.seq.getAndAdd(key);
}
}