ØMQ
Posted by Bruce Tsai
06/20/2016
ZeroMQ 號稱最快的訊息佇列系統,尤其針對大吞吐量的需求場景。ZeroMQ 能夠實現 RabbitMQ 不擅長的高級/複雜的佇列,但是開發人員需要自己組合多種技術框架,技術上的複雜度是對這 Message Queue 能夠應用成功的挑戰。ZeroMQ 具有一個獨特的非中間件的模式,你不需要安裝和運行一個訊息服務器或中間件,因為你的應用程式將扮演這個服務器角色。你只需要簡單的引用 ZeroMQ 函式庫,然後你就可以愉快的在應用程式之間發送消息了。但是 ZeroMQ 僅提供非持久性的佇列,也就是說如果當機,數據將會遺失。
使用範例
import org.zeromq.ZContext;
import org.zeromq.ZFrame;
import org.zeromq.ZMQ;
import org.zeromq.ZMQ.PollItem;
import org.zeromq.ZMQ.Socket;
import org.zeromq.ZMsg;
import org.zeromq.ZMQ.Poller;
import java.util.Random;
//
//Asynchronous client-to-server (DEALER to ROUTER)
//
//While this example runs in a single process, that is just to make
//it easier to start and stop the example. Each task has its own
//context and conceptually acts as a separate process.
public class asyncsrv
{
//---------------------------------------------------------------------
//This is our client task
//It connects to the server, and then sends a request once per second
//It collects responses as they arrive, and it prints them out. We will
//run several client tasks in parallel, each with a different random ID.
private static Random rand = new Random(System.nanoTime());
private static class client_task implements Runnable {
public void run() {
ZContext ctx = new ZContext();
Socket client = ctx.createSocket(ZMQ.DEALER);
// Set random identity to make tracing easier
String identity = String.format("%04X-%04X", rand.nextInt(), rand.nextInt());
client.setIdentity(identity.getBytes());
client.connect("tcp://localhost:5570");
PollItem[] items = new PollItem[] { new PollItem(client, Poller.POLLIN) };
int requestNbr = 0;
while (!Thread.currentThread().isInterrupted()) {
// Tick once per second, pulling in arriving messages
for (int centitick = 0; centitick < 100; centitick++) {
ZMQ.poll(items, 10);
if (items[0].isReadable()) {
ZMsg msg = ZMsg.recvMsg(client);
msg.getLast().print(identity);
msg.destroy();
}
}
client.send(String.format("request #%d", ++requestNbr), 0);
}
ctx.destroy();
}
}
//This is our server task.
//It uses the multithreaded server model to deal requests out to a pool
//of workers and route replies back to clients. One worker can handle
//one request at a time but one client can talk to multiple workers at
//once.
private static class server_task implements Runnable {
public void run() {
ZContext ctx = new ZContext();
// Frontend socket talks to clients over TCP
Socket frontend = ctx.createSocket(ZMQ.ROUTER);
frontend.bind("tcp://*:5570");
// Backend socket talks to workers over inproc
Socket backend = ctx.createSocket(ZMQ.DEALER);
backend.bind("inproc://backend");
// Launch pool of worker threads, precise number is not critical
for (int threadNbr = 0; threadNbr < 5; threadNbr++)
new Thread(new server_worker(ctx)).start();
// Connect backend to frontend via a proxy
ZMQ.proxy(frontend, backend, null);
ctx.destroy();
}
}
//Each worker task works on one request at a time and sends a random number
//of replies back, with random delays between replies:
private static class server_worker implements Runnable {
private ZContext ctx;
public server_worker(ZContext ctx) {
this.ctx = ctx;
}
public void run() {
Socket worker = ctx.createSocket(ZMQ.DEALER);
worker.connect("inproc://backend");
while (!Thread.currentThread().isInterrupted()) {
// The DEALER socket gives us the address envelope and message
ZMsg msg = ZMsg.recvMsg(worker);
ZFrame address = msg.pop();
ZFrame content = msg.pop();
assert (content != null);
msg.destroy();
// Send 0..4 replies back
int replies = rand.nextInt(5);
for (int reply = 0; reply < replies; reply++) {
// Sleep for some fraction of a second
try {
Thread.sleep(rand.nextInt(1000) + 1);
} catch (InterruptedException e) {
}
address.send(worker, ZFrame.REUSE + ZFrame.MORE);
content.send(worker, ZFrame.REUSE);
}
address.destroy();
content.destroy();
}
ctx.destroy();
}
}
//The main thread simply starts several clients, and a server, and then
//waits for the server to finish.
public static void main(String[] args) throws Exception {
ZContext ctx = new ZContext();
new Thread(new client_task()).start();
new Thread(new client_task()).start();
new Thread(new client_task()).start();
new Thread(new server_task()).start();
// Run for 5 seconds then quit
Thread.sleep(5 * 1000);
ctx.destroy();
}
}