一、 Reuqest-Reply(请求-应答模式)
1、使用Request-Reply模式，需要遵循一定的规律。
2、客户端必要先发送消息，在接收消息；服务端必须先进行接收客户端发送过来的消息，在发送应答给客户端，如此循环
3、服务端和客户端谁先启动，效果都是一样的。
4、服务端在收到消息之前，会一直阻塞，等待客户端连上来。
创建一个客户端和服务端，客户端发送消息给服务端，服务端返回消息给客户端，客户端和服务器谁先启动都可以。
server.cpp
#include <zmq.hpp>
#include <string>
#include <iostream>
#ifndef _WIN32
#include <unistd.h>
#else
#include <windows.h>
#define sleep(n) Sleep(n)
#endif
int main () {
// Prepare our context and socket
zmq::context_t context (2);
zmq::socket_t socket (context, zmq::socket_type::rep);
socket.bind ("tcp://*:5555");
while (true) {
zmq::message_t request;
// Wait for next request from client
socket.recv (request, zmq::recv_flags::none);
std::cout << "Received Hello" << std::endl;
// Do some 'work'
sleep(1);
// Send reply back to client
zmq::message_t reply (5);
memcpy (reply.data (), "World", 5);
socket.send (reply, zmq::send_flags::none);
}
return 0;
}
client.cpp
#include <zmq.hpp>
#include <string>
#include <iostream>
int main ()
{
// Prepare our context and socket
zmq::context_t context (1);
zmq::socket_t socket (context, zmq::socket_type::req);
std::cout << "Connecting to hello world server..." << std::endl;
socket.connect ("tcp://localhost:5555");
// Do 10 requests, waiting each time for a response
for (int request_nbr = 0; request_nbr != 10; request_nbr++) {
zmq::message_t request (5);
memcpy (request.data (), "Hello", 5);
std::cout << "Sending Hello " << request_nbr << "..." << std::endl;
socket.send (request, zmq::send_flags::none);
// Get the reply.
zmq::message_t reply;
socket.recv (reply, zmq::recv_flags::none);
std::cout << "Received World " << request_nbr << std::endl;
}
return 0;
}
二、Publisher-Subscriber(发布-订阅模式)
Publisher-Subscriber模式,消息是单向流动的，发布者只能发布消息，不能接受消息;订阅者只能接受消息，不能发送消息。
服务端发布消息的过程中，如果有订阅者退出，不影响发布者继续发布消息，当订阅者再次连接上来，收到的消息是后来发布的消息
比较晚加入的订阅者，或者中途离开的订阅者，必然会丢掉一部分信息
如果发布者停止，所有的订阅者会阻塞，等发布者再次上线的时候回继续接受消息。
"慢连接": 我们不知道订阅者是何时开始接受消息的，就算启动"订阅者"，在启动"发布者", "订阅者"还是会缺失一部分的消息，因为建立连接是需要时间的，虽然时间很短，但不是零。ZMQ在后台是进行异步的IO传输，在建立TCP连接的短短的时间段内，ZMQ就可以发送很多消息了。
publisher.cpp
#include <zmq.hpp>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#if (defined (WIN32))
#include <zhelpers.hpp>
#endif
#define within(num) (int) ((float) num * random () / (RAND_MAX + 1.0))
int main () {
// Prepare our context and publisher
zmq::context_t context (1);
zmq::socket_t publisher (context, zmq::socket_type::pub);
publisher.bind("tcp://*:5556");
publisher.bind("ipc://weather.ipc"); // Not usable on Windows.
// Initialize random number generator
srandom ((unsigned) time (NULL));
while (1) {
int zipcode, temperature, relhumidity;
// Get values that will fool the boss
zipcode = within (100000);
temperature = within (215) - 80;
relhumidity = within (50) + 10;
// Send message to all subscribers
zmq::message_t message(20);
snprintf ((char *) message.data(), 20 ,
"%05d %d %d", zipcode, temperature, relhumidity);
publisher.send(message, zmq::send_flags::none);
}
return 0;
}
subscriber.cpp
#include <zmq.hpp>
#include <iostream>
#include <sstream>
int main (int argc, char *argv[])
{
zmq::context_t context (1);
// Socket to talk to server
std::cout << "Collecting updates from weather server...\n" << std::endl;
zmq::socket_t subscriber (context, zmq::socket_type::sub);
subscriber.connect("tcp://localhost:5556");
// Subscribe to zipcode, default is NYC, 10001
const char *filter = (argc > 1)? argv [1]: "10001 ";
subscriber.setsockopt(ZMQ_SUBSCRIBE, filter, strlen (filter));
// Process 100 updates
int update_nbr;
long total_temp = 0;
for (update_nbr = 0; update_nbr < 100; update_nbr++) {
zmq::message_t update;
int zipcode, temperature, relhumidity;
subscriber.recv(update, zmq::recv_flags::none);
std::istringstream iss(static_cast<char*>(update.data()));
iss >> zipcode >> temperature >> relhumidity ;
total_temp += temperature;
}
std::cout << "Average temperature for zipcode '"<< filter
<<"' was "<<(int) (total_temp / update_nbr) <<"F"
<< std::endl;
return 0;
}
三、Push-Pull(平行管道模式/分布式处理)
1、Ventilator:任务发布器会生成大量可以并行运算的任务。
2、Worker:有一组worker会处理这些任务。
3、Sink:结果接收器会在末端接收所有的Worker的处理结果，进行汇总。
4、Worker上游和"任务发布器"相连，下游和"结果接收器"相连。
5、"任务发布器" 和 "结果接收器"是这个网路结构中比较稳定的部分，由他们绑定至端点。
6、Worker只是连接两个端点。
7、需要等Worker全部启动后，在进行任务分发。Socket的连接会消耗一定时间(慢连接), 如果不尽兴同步的话，第一个Worker启动。
8、会一下子接收很多任务。
9、"任务分发器" 会向Worker均匀的分发任务(负载均衡机制)。
10、"结果接收器" 会均匀地从Worker处收集消息(公平队列机制)。
taskvent.cpp
#include <zmq.hpp>
#include <stdlib.h>
#include <stdio.h>
#include <unistd.h>
#include <iostream>
#define within(num) (int) ((float) num * random () / (RAND_MAX + 1.0))
int main (int argc, char *argv[])
{
zmq::context_t context (1);
// Socket to send messages on
zmq::socket_t sender(context, ZMQ_PUSH);
sender.bind("tcp://*:5557");
std::cout << "Press Enter when the workers are ready: " << std::endl;
getchar ();
std::cout << "Sending tasks to workers...\n" << std::endl;
// The first message is "0" and signals start of batch
zmq::socket_t sink(context, ZMQ_PUSH);
sink.connect("tcp://localhost:5558");
zmq::message_t message(2);
memcpy(message.data(), "0", 1);
sink.send(message);
// Initialize random number generator
srandom ((unsigned) time (NULL));
// Send 100 tasks
int task_nbr;
int total_msec = 0; // Total expected cost in msecs
for (task_nbr = 0; task_nbr < 100; task_nbr++) {
int workload;
// Random workload from 1 to 100msecs
workload = within (100) + 1;
total_msec += workload;
message.rebuild(10);
memset(message.data(), '\0', 10);
sprintf ((char *) message.data(), "%d", workload);
sender.send(message);
}
std::cout << "Total expected cost: " << total_msec << " msec" << std::endl;
sleep (1); // Give 0MQ time to deliver
return 0;
}
taskwork.cpp
#include "zhelpers.hpp"
#include <string>
int main (int argc, char *argv[])
{
zmq::context_t context(1);
// Socket to receive messages on
zmq::socket_t receiver(context, ZMQ_PULL);
receiver.connect("tcp://localhost:5557");
// Socket to send messages to
zmq::socket_t sender(context, ZMQ_PUSH);
sender.connect("tcp://localhost:5558");
// Process tasks forever
while (1) {
zmq::message_t message;
int workload; // Workload in msecs
receiver.recv(&message);
std::string smessage(static_cast<char*>(message.data()), message.size());
std::istringstream iss(smessage);
iss >> workload;
// Do the work
s_sleep(workload);
// Send results to sink
message.rebuild();
sender.send(message);
// Simple progress indicator for the viewer
std::cout << "." << std::flush;
}
return 0;
}
tasksink.cpp
#include <zmq.hpp>
#include <time.h>
#include <sys/time.h>
#include <iostream>
int main (int argc, char *argv[])
{
// Prepare our context and socket
zmq::context_t context(1);
zmq::socket_t receiver(context,ZMQ_PULL);
receiver.bind("tcp://*:5558");
// Wait for start of batch
zmq::message_t message;
receiver.recv(&message);
// Start our clock now
struct timeval tstart;
gettimeofday (&tstart, NULL);
// Process 100 confirmations
int task_nbr;
int total_msec = 0; // Total calculated cost in msecs
for (task_nbr = 0; task_nbr < 100; task_nbr++) {
receiver.recv(&message);
if (task_nbr % 10 == 0)
std::cout << ":" << std::flush;
else
std::cout << "." << std::flush;
}
// Calculate and report duration of batch
struct timeval tend, tdiff;
gettimeofday (&tend, NULL);
if (tend.tv_usec < tstart.tv_usec) {
tdiff.tv_sec = tend.tv_sec - tstart.tv_sec - 1;
tdiff.tv_usec = 1000000 + tend.tv_usec - tstart.tv_usec;
}
else {
tdiff.tv_sec = tend.tv_sec - tstart.tv_sec;
tdiff.tv_usec = tend.tv_usec - tstart.tv_usec;
}
total_msec = tdiff.tv_sec * 1000 + tdiff.tv_usec / 1000;
std::cout << "\nTotal elapsed time: " << total_msec << " msec\n" << std::endl;
return 0;
}
