ZeroMQ,史上最快的消息队列
一、ZMQ 是什么
阅读了 ZMQ 的 Guide 文档后,我的理解是,这是个类似于 Socket 的一系列接口,他跟 Socket 的区别是:普通的 socket 是端到端的(1:1的关系),而 ZMQ 却是可以N:M 的关系,人们对 BSD 套接字的了解较多的是点对点的连接,点对点连接需要显式地建立连接、销毁连接、选择协议(TCP/UDP)和处理错误等,而 ZMQ 屏蔽了这些细节,让你的网络编程更为简单。ZMQ 用于 node 与 node 间的通信,node 可以是主机或者是进程。
二、本文的目的
在集群对外提供服务的过程中,我们有很多的配置,需要根据需要随时更新,那么这个信息如何推动到各个节点?并且保证信息的一致性和可靠性?本文在介绍 ZMQ 基本理论的基础上,试图使用 ZMQ 实现一个配置分发中心。从一个节点,将信息无误的分发到各个服务器节点上,并保证信息正确性和一致性。
三、ZMQ 的三个基本模型
1.请求回应模型。由请求端发起请求,并等待回应端回应请求。从请求端来看,一定是一对对收发配对的;
反之,在回应端一定是发收对。请求端和回应端都可以是1:N的模型。通常把1认为是server,N认为是Client。
0MQ可以很好的支持路由功能(实现路由功能的组件叫做Device),把1:N扩展为N:M(只需要加入若干路由节点)。
从这个模型看,更底层的端点地址是对上层隐藏的。每个请求都隐含回应地址,而应用则不关心它。
2.发布订阅模型。这个模型里,发布端是单向只发送数据的,且不关心是否把全部的信息都发送给订阅者。
如果发布端开始发布信息的时候,订阅端尚未连接上,这些信息直接丢弃。
不过一旦订阅端连接上来,中间会保证没有信息丢失。
同样,订阅端则只负责接收,而不能反馈。
如果发布端和订阅端需要交互(比如要确认订阅者是否已经连接上),则使用额外的socket采用请求回应模型满足这个需求。
3.管道模型。这个模型里,管道是单向的,从PUSH端单向的向PULL端单向的推送数据流。
ZMQ的请求答复模型
ZMQ 的 hello world!
由 Client 发起请求,并等待 Server 回应请求。请求端发送一个简单的 hello,服务端则回应一个 world
request.py
# !/usr/bin/python
# coding=utf-8
#
# Hello World client in Python
# Connects REQ socket to tcp://localhost:5555
# Sends "Hello" to server, expects "World" back import zmq context = zmq.Context() # Socket to talk to server
print("Connecting to hello world server..." )
socket = context.socket(zmq.REQ)
socket.connect("tcp://localhost:5555") # Do 10 requests, waiting each time for a response
for request in range (1,10):
print("Sending request %d ..." % request)
socket.send(b"Hello")
# Get the reply.
message = socket.recv()
print("Received reply [%s]" % message)
lxy@lenovo-pc:~/code/python/zmq$ python3 request.py
Connecting to hello world server...
Sending request 1 ...
Received reply [b'World']
Sending request 2 ...
Received reply [b'World']
Sending request 3 ...
Received reply [b'World']
Sending request 4 ...
Received reply [b'World']
Sending request 5 ...
Received reply [b'World']
Sending request 6 ...
Received reply [b'World']
Sending request 7 ...
Received reply [b'World']
Sending request 8 ...
Received reply [b'World']
Sending request 9 ...
Received reply [b'World']
reply.py
# !/usr/bin/python
# coding=utf-8
#
# Hello World server in Python
# Binds REP socket to tcp://*:5555
# Expects "Hello" from client, replies with "World" import zmq
import time context = zmq.Context()
socket = context.socket(zmq.REP)
socket.bind("tcp://*:5555") while True:
message = socket.recv()
print("Received request: %s" % message)
#time.sleep(1)
socket.send_string("World")
lxy@lenovo-pc:~/code/python/zmq$ python3 reply.py
Received request: b'Hello'
Received request: b'Hello'
Received request: b'Hello'
Received request: b'Hello'
Received request: b'Hello'
Received request: b'Hello'
Received request: b'Hello'
Received request: b'Hello'
Received request: b'Hello'
ZMQ的发布订阅模型
一个广播server为现场足球赛
publish.py
# !/usr/bin/python
# coding=utf-8 import zmq
from random import choice context = zmq.Context()
socket = context.socket(zmq.PUB)
socket.bind("tcp://127.0.0.1:5000") countries = ["netherlands","brazil","germany","portugal"]
events = ['yellow card', 'red card', 'goal', 'corner', 'foul'] while True:
msg = choice(countries)+" "+choice(events)
print("-> %s" % msg)
socket.send(msg.encode(encoding='utf-8'))
-> portugal corner
-> portugal yellow card
-> portugal goal
-> netherlands yellow card
-> germany yellow card
-> brazil yellow card
-> portugal goal
-> germany corner
subscribe.py
# !/usr/bin/python
# coding=utf-8
import zmq context = zmq.Context()
socket = context.socket(zmq.SUB)
socket.connect("tcp://127.0.0.1:5000")
socket.setsockopt(zmq.SUBSCRIBE, b"netherlands")
socket.setsockopt(zmq.SUBSCRIBE, b"germany") while True:
print(socket.recv())
netherlands red card
netherlands goal
netherlands red card
germany foul
netherlands yellow card
germany foul
netherlands goal
netherlands corner
germany foul
netherlands corner
ZMQ的管道模型
ventilator.py
# !/usr/bin/python
# coding=utf-8
# Task ventilator
# Binds PUSH socket to tcp://localhost:5557
# Sends batch of tasks to workers via that socket import time
import zmq context = zmq.Context()
socket = context.socket(zmq.PUSH)
#print(dir(socket))
#exit(0)
socket.bind("tcp://127.0.0.1:5557") input("Press Enter when the workers are ready: ")
print("Sending tasks to workers ... \n") # send 100 tasks
for task_nbr in range(1, 101):
socket.send_string("task %d" % task_nbr) time.sleep(1)
worker.py
# !/usr/bin/python
# coding=utf-8
#Task worker
#Connects PULL socket to tcp://localhost:5557
#Collects workloads from ventilator via that socket
#Connects PUSH socket to tcp://localhost:5558
#Sends results to sink via that socket import time
import zmq context = zmq.Context() receiver = context.socket(zmq.PULL)
receiver.connect("tcp://127.0.0.1:5557") sender = context.socket(zmq.PUSH)
sender.connect("tcp://127.0.0.1:5558") while True:
str = receiver.recv()
print("Received reply : %s" % str)
sender.send(str)
启动3个worker,输出结果如下
worker1
Received reply : b'task 1'
Received reply : b'task 4'
Received reply : b'task 7'
Received reply : b'task 10'
Received reply : b'task 13'
Received reply : b'task 16'
Received reply : b'task 19'
Received reply : b'task 22'
Received reply : b'task 25'
Received reply : b'task 28'
Received reply : b'task 31'
Received reply : b'task 34'
Received reply : b'task 37'
Received reply : b'task 40'
Received reply : b'task 43'
Received reply : b'task 46'
Received reply : b'task 49'
Received reply : b'task 52'
Received reply : b'task 55'
Received reply : b'task 58'
Received reply : b'task 61'
Received reply : b'task 64'
Received reply : b'task 67'
Received reply : b'task 70'
Received reply : b'task 73'
Received reply : b'task 76'
Received reply : b'task 79'
Received reply : b'task 82'
Received reply : b'task 85'
Received reply : b'task 88'
Received reply : b'task 91'
Received reply : b'task 94'
Received reply : b'task 97'
Received reply : b'task 100'
worker2
Received reply : b'task 2'
Received reply : b'task 5'
Received reply : b'task 8'
Received reply : b'task 11'
Received reply : b'task 14'
Received reply : b'task 17'
Received reply : b'task 20'
Received reply : b'task 23'
Received reply : b'task 26'
Received reply : b'task 29'
Received reply : b'task 32'
Received reply : b'task 35'
Received reply : b'task 38'
Received reply : b'task 41'
Received reply : b'task 44'
Received reply : b'task 47'
Received reply : b'task 50'
Received reply : b'task 53'
Received reply : b'task 56'
Received reply : b'task 59'
Received reply : b'task 62'
Received reply : b'task 65'
Received reply : b'task 68'
Received reply : b'task 71'
Received reply : b'task 74'
Received reply : b'task 77'
Received reply : b'task 80'
Received reply : b'task 83'
Received reply : b'task 86'
Received reply : b'task 89'
Received reply : b'task 92'
Received reply : b'task 95'
Received reply : b'task 98'
worker3
Received reply : b'task 3'
Received reply : b'task 6'
Received reply : b'task 9'
Received reply : b'task 12'
Received reply : b'task 15'
Received reply : b'task 18'
Received reply : b'task 21'
Received reply : b'task 24'
Received reply : b'task 27'
Received reply : b'task 30'
Received reply : b'task 33'
Received reply : b'task 36'
Received reply : b'task 39'
Received reply : b'task 42'
Received reply : b'task 45'
Received reply : b'task 48'
Received reply : b'task 51'
Received reply : b'task 54'
Received reply : b'task 57'
Received reply : b'task 60'
Received reply : b'task 63'
Received reply : b'task 66'
Received reply : b'task 69'
Received reply : b'task 72'
Received reply : b'task 75'
Received reply : b'task 78'
Received reply : b'task 81'
Received reply : b'task 84'
Received reply : b'task 87'
Received reply : b'task 90'
Received reply : b'task 93'
Received reply : b'task 96'
Received reply : b'task 99'
sink.py
# !/usr/bin/python
# coding=utf-8 import time
import zmq context = zmq.Context()
receiver = context.socket(zmq.PULL)
receiver.bind("tcp://127.0.0.1:5558") while True:
str = receiver.recv()
print("received: %s" % str)
received: b'task 1'
received: b'task 4'
received: b'task 7'
received: b'task 10'
received: b'task 13'
received: b'task 16'
received: b'task 19'
received: b'task 22'
received: b'task 25'
received: b'task 28'
received: b'task 31'
received: b'task 34'
received: b'task 37'
received: b'task 40'
received: b'task 43'
received: b'task 46'
received: b'task 49'
received: b'task 52'
received: b'task 55'
received: b'task 58'
received: b'task 61'
received: b'task 64'
received: b'task 67'
received: b'task 70'
received: b'task 73'
received: b'task 76'
received: b'task 79'
received: b'task 82'
received: b'task 85'
received: b'task 88'
received: b'task 91'
received: b'task 94'
received: b'task 97'
received: b'task 100'
received: b'task 2'
received: b'task 5'
received: b'task 8'
received: b'task 11'
received: b'task 14'
received: b'task 17'
received: b'task 20'
received: b'task 23'
received: b'task 26'
received: b'task 29'
received: b'task 32'
received: b'task 35'
received: b'task 38'
received: b'task 41'
received: b'task 44'
received: b'task 47'
received: b'task 50'
received: b'task 53'
received: b'task 56'
received: b'task 59'
received: b'task 62'
received: b'task 65'
received: b'task 68'
received: b'task 71'
received: b'task 74'
received: b'task 77'
received: b'task 80'
received: b'task 83'
received: b'task 86'
received: b'task 89'
received: b'task 92'
received: b'task 95'
received: b'task 98'
received: b'task 3'
received: b'task 6'
received: b'task 9'
received: b'task 12'
received: b'task 15'
received: b'task 18'
received: b'task 21'
received: b'task 24'
received: b'task 27'
received: b'task 30'
received: b'task 33'
received: b'task 36'
received: b'task 39'
received: b'task 42'
received: b'task 45'
received: b'task 48'
received: b'task 51'
received: b'task 54'
received: b'task 57'
received: b'task 60'
received: b'task 63'
received: b'task 66'
received: b'task 69'
received: b'task 72'
received: b'task 75'
received: b'task 78'
received: b'task 81'
received: b'task 84'
received: b'task 87'
received: b'task 90'
received: b'task 93'
received: b'task 96'
received: b'task 99'
从上面的输出可以看出,ventilator分配的100个任务被平均分配到了3个worker,最后由sink汇总
四、其他扩展模式
通常,一个节点,即可以作为 Server,同时也能作为 Client,通过 PipeLine 模型中的 Worker,他向上连接着任务分发,向下连接着结果搜集的 Sink 机器。因此,我们可以借助这种特性,丰富的扩展原有的三种模式。例如,一个代理 Publisher,作为一个内网的 Subscriber 接受信息,同时将信息,转发到外网,其结构图如图 4 所示。
五、多个服务器
ZMQ 和 Socket 的区别在于,前者支持N:M的连接,而后者则只是1:1的连接,那么一个 Client 连接多个 Server 的情况是怎样的呢,我们通过图 5 来说明。
server1.py
import zmq
context = zmq.Context()
socket = context.socket(zmq.REP)
socket.bind("tcp://127.0.0.1:5000") while True:
msg = socket.recv()
print "Got", msg
socket.send(msg)
server2.py
import zmq
context = zmq.Context()
socket = context.socket(zmq.REP)
socket.bind("tcp://127.0.0.1:6000") while True:
msg = socket.recv()
print "Got", msg
socket.send(msg)
client.py
import zmq
context = zmq.Context()
socket = context.socket(zmq.REQ)
socket.connect("tcp://127.0.0.1:5000")
socket.connect("tcp://127.0.0.1:6000") for i in range(10):
msg = "msg %s" % i
socket.send(msg)
print "Sending", msg
msg_in = socket.recv()
会发现client的请求会被均衡的分配给两个server
Example client output:
Sending msg 0
Sending msg 1
Sending msg 2
Sending msg 3
Sending msg 4
Sending msg 5
Sending msg 6
Sending msg 7
Sending msg 8
Sending msg 9
Example output server 1 at port 5000:
Got msg 0
Got msg 2
Got msg 4
Got msg 6
Got msg 8
Example output server 2 at port 6000:
Got msg 1
Got msg 3
Got msg 5
Got msg 7
Got msg 9
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