async.nio2.Main.java Source code

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Here is the source code for async.nio2.Main.java

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/*
 * Copyright 2014 Mikael Beyene
 *
 * 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 async.nio2;

import static async.nio2.Client.newClient;
import static java.util.stream.IntStream.range;

import java.io.IOException;
import java.net.InetSocketAddress;
import java.nio.channels.AsynchronousChannelGroup;
import java.util.Arrays;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;

import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;

public class Main {

    private static int PORT = 0;
    private static int NO_CLIENTS = 50;
    public static int NO_SAMPLES = 1000;

    public static void main(String[] args) throws IOException, InterruptedException, ExecutionException {

        if (args.length == 3) {
            PORT = Integer.valueOf(args[0]);
            NO_CLIENTS = Integer.valueOf(args[1]);
            NO_SAMPLES = Integer.valueOf(args[2]);
        }

        if (PORT < 0) {
            System.err.println("Error: port < 0");
            System.exit(1);
        }

        if (NO_CLIENTS < 1) {
            System.err.println("Error: #clients < 1");
            System.exit(1);
        }

        if (NO_SAMPLES < 1) {
            System.err.println("Error: #samples < 1");
            System.exit(1);
        }

        AsynchronousChannelGroup groupServer = AsynchronousChannelGroup
                .withThreadPool(Executors.newFixedThreadPool(1));
        AsynchronousChannelGroup groupClient = AsynchronousChannelGroup
                .withThreadPool(Executors.newFixedThreadPool(1));

        Server server = Server.newInstance(new InetSocketAddress("localhost", PORT), groupServer);
        InetSocketAddress localAddress = server.getLocalAddress();
        String hostname = localAddress.getHostName();
        int port = localAddress.getPort();

        ExecutorService es = Executors.newFixedThreadPool(2);

        System.out.printf("%03d clients on %s:%d, %03d runs each. All times in s.%n", NO_CLIENTS, hostname, port,
                NO_SAMPLES);
        range(0, NO_CLIENTS).unordered().parallel()
                .mapToObj(i -> CompletableFuture.supplyAsync(newClient(localAddress, groupClient), es).join())
                .map(array -> Arrays.stream(array).reduce(new DescriptiveStatistics(), Main::accumulate,
                        Main::combine))
                .map(Main::toEvaluationString).forEach(System.out::println);

        es.shutdown();
        es.awaitTermination(5, TimeUnit.SECONDS);

        groupClient.shutdown();
        groupClient.awaitTermination(5, TimeUnit.SECONDS);

        server.close();
        groupServer.shutdown();
        groupServer.awaitTermination(5, TimeUnit.SECONDS);
    }

    private static DescriptiveStatistics accumulate(DescriptiveStatistics stats, Long value) {
        stats.addValue(value / 1000d);
        return stats;
    }

    private static DescriptiveStatistics combine(DescriptiveStatistics stats1, DescriptiveStatistics stats2) {
        Arrays.stream(stats2.getValues()).forEach(d -> stats1.addValue(d));
        stats2.clear();
        return stats1;
    }

    private static String toEvaluationString(DescriptiveStatistics stats) {
        String data = String.format(
                "0.50 Percentile  = %8.2f, " + "0.90 Percentile = %8.2f, " + "0.99 Percentile = %8.2f, "
                        + "min = %8.2f, " + "max = %8.2f",
                stats.getMean(), stats.getPercentile(90), stats.getPercentile(99), stats.getMin(), stats.getMax());
        stats.clear();
        return data;
    }
}