一. RabbitMQ使用
什么叫消息隊(duì)列
消息(Message)是指在應(yīng)用間傳送的數(shù)據(jù)茧泪。消息可以非常簡單,比如只包含文本字符串募壕,也可以更復(fù)雜调炬,可能包含嵌入對象。
消息隊(duì)列(Message Queue)是一種應(yīng)用間的通信方式舱馅,消息發(fā)送后可以立即返回缰泡,由消息系統(tǒng)來確保消息的可靠傳遞。消息發(fā)布者只管把消息發(fā)布到 MQ 中而不用管誰來取,消息使用者只管從 MQ 中取消息而不管是誰發(fā)布的棘钞。這樣發(fā)布者和使用者都不用知道對方的存在缠借。
為何使用消息隊(duì)列
從上面的描述中可以看出消息隊(duì)列是一種應(yīng)用間的異步協(xié)作機(jī)制,那什么時(shí)候需要使用 MQ 呢?
以常見的訂單系統(tǒng)為例宜猜,用戶點(diǎn)擊【下單】按鈕之后的業(yè)務(wù)邏輯可能包括:扣減庫存泼返、生成相應(yīng)單據(jù)、發(fā)紅包姨拥、發(fā)短信通知绅喉。在業(yè)務(wù)發(fā)展初期這些邏輯可能放在一起同步執(zhí)行,隨著業(yè)務(wù)的發(fā)展訂單量增長叫乌,需要提升系統(tǒng)服務(wù)的性能柴罐,這時(shí)可以將一些不需要立即生效的操作拆分出來異步執(zhí)行,比如發(fā)放紅包憨奸、發(fā)短信通知等革屠。這種場景下就可以用 MQ ,在下單的主流程(比如扣減庫存排宰、生成相應(yīng)單據(jù))完成之后發(fā)送一條消息到 MQ 讓主流程快速完結(jié)似芝,而由另外的單獨(dú)線程拉取MQ的消息(或者由 MQ 推送消息),當(dāng)發(fā)現(xiàn) MQ 中有發(fā)紅包或發(fā)短信之類的消息時(shí)板甘,執(zhí)行相應(yīng)的業(yè)務(wù)邏輯党瓮。
詳細(xì)
RabbitMQ介紹
RabbitMQ 是一個(gè)由 Erlang 語言開發(fā)的 AMQP 的開源實(shí)現(xiàn)。
rabbitMQ是一款基于AMQP協(xié)議的消息中間件虾啦,它能夠在應(yīng)用之間提供可靠的消息傳輸麻诀。在易用性,擴(kuò)展性傲醉,高可用性上表現(xiàn)優(yōu)秀蝇闭。使用消息中間件利于應(yīng)用之間的解耦,生產(chǎn)者(客戶端)無需知道消費(fèi)者(服務(wù)端)的存在硬毕。而且兩端可以使用不同的語言編寫呻引,大大提供了靈活性。
中文文檔
二. rabbitMQ安裝
2.1 Linux
安裝配置epel源
$ rpm -ivh http://dl.fedoraproject.org/pub/epel/6/i386/epel-release-6-8.noarch.rpm
安裝erlang
$ yum -y install erlang
安裝RabbitMQ
$ yum -y install rabbitmq-server
注意:service rabbitmq-server start/stop
2.2 Mac
# brew install rabbitmq
# export PATH=$PATH:/usr/local/sbin
# rabbitmq-server
2.2 rabbitMQ工作模型
2.2.1 簡單模式
示例
# ######################### 生產(chǎn)者 #########################
#!/usr/bin/env python
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters( host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='hello')
channel.basic_publish(exchange='',
routing_key='hello',
body='Hello World!')
print(" [x] Sent 'Hello World!'")
connection.close()
# ########################## 消費(fèi)者 ##########################
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='hello')
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
# 需要producer確認(rèn)之后在刪除消息內(nèi)容的時(shí)候需要將no_ack置為False
channel.basic_consume( callback,
queue='hello',
no_ack=True)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()
相關(guān)參數(shù)說明
no-ack = False吐咳,如果消費(fèi)者遇到情況(its channel is closed, connection is closed, or TCP connection is lost)掛掉了逻悠,那么,RabbitMQ會重新將該任務(wù)添加到隊(duì)列中韭脊。
- 回調(diào)函數(shù)中的
ch.basic_ack(delivery_tag=method.delivery_tag)
- basic_comsume中的
no_ack=False
- 消息接收端應(yīng)該這么寫
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(
host='10.211.55.4'))
channel = connection.channel()
channel.queue_declare(queue='hello')
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
import time
time.sleep(10)
print 'ok'
ch.basic_ack(delivery_tag = method.delivery_tag)
channel.basic_consume(callback,
queue='hello',
no_ack=False)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()
- durable:消息不丟失
# 生產(chǎn)者
#!/usr/bin/env python
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.211.55.4'))
channel = connection.channel()
# make message persistent
channel.queue_declare(queue='hello', durable=True)
channel.basic_publish(exchange='',
routing_key='hello',
body='Hello World!',
properties=pika.BasicProperties(
delivery_mode=2, # make message persistent
))
print(" [x] Sent 'Hello World!'")
connection.close()
# 消費(fèi)者
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.211.55.4'))
channel = connection.channel()
# make message persistent
channel.queue_declare(queue='hello', durable=True)
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
import time
time.sleep(10)
print 'ok'
ch.basic_ack(delivery_tag = method.delivery_tag)
channel.basic_consume(callback,
queue='hello',
no_ack=False)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()
- 消息獲取順序
默認(rèn)消息隊(duì)列里的數(shù)據(jù)是按照順序被消費(fèi)者拿走童谒,例如:消費(fèi)者1 去隊(duì)列中獲取 奇數(shù) 序列的任務(wù),消費(fèi)者1去隊(duì)列中獲取 偶數(shù) 序列的任務(wù)沪羔。
channel.basic_qos(prefetch_count=1) 表示誰來誰獲取消費(fèi)就分發(fā)給消費(fèi)者饥伊,不再按照奇偶數(shù)排列
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(host='10.211.55.4'))
channel = connection.channel()
# make message persistent
channel.queue_declare(queue='hello')
def callback(ch, method, properties, body):
print(" [x] Received %r" % body)
import time
time.sleep(10)
print 'ok'
ch.basic_ack(delivery_tag = method.delivery_tag)
channel.basic_qos(prefetch_count=1)
channel.basic_consume(callback,
queue='hello',
no_ack=False)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()
三. exchange交換機(jī)模型
3.1 發(fā)布訂閱
發(fā)布訂閱和簡單的消息隊(duì)列區(qū)別在于,發(fā)布訂閱會將消息發(fā)送給所有的訂閱者,而消息隊(duì)列中的數(shù)據(jù)被消費(fèi)一次便消失琅豆。所以愉豺,RabbitMQ實(shí)現(xiàn)發(fā)布和訂閱時(shí),會為每一個(gè)訂閱者創(chuàng)建一個(gè)隊(duì)列茫因,而發(fā)布者發(fā)布消息時(shí)蚪拦,會將消息放置在所有相關(guān)隊(duì)列中。
exchange_type = fanout
# 生產(chǎn)者
#!/usr/bin/env python
import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(
host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='logs',
exchange_type='fanout')
message = ' '.join(sys.argv[1:]) or "info: Hello World!"
channel.basic_publish(exchange='logs',
routing_key='',
body=message)
print(" [x] Sent %r" % message)
connection.close()
# 消費(fèi)者
#!/usr/bin/env python
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(
host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='logs',
exchange_type='fanout')
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='logs',
queue=queue_name)
print(' [*] Waiting for logs. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(" [x] %r" % body)
channel.basic_consume(callback,
queue=queue_name,
no_ack=True)
channel.start_consuming()
3.2 關(guān)鍵字發(fā)送
exchange_type = direct
之前示例冻押,發(fā)送消息時(shí)明確指定某個(gè)隊(duì)列并向其中發(fā)送消息驰贷,RabbitMQ還支持根據(jù)關(guān)鍵字發(fā)送,即:隊(duì)列綁定關(guān)鍵字翼雀,發(fā)送者將數(shù)據(jù)根據(jù)關(guān)鍵字發(fā)送到消息exchange饱苟,exchange根據(jù) 關(guān)鍵字 判定應(yīng)該將數(shù)據(jù)發(fā)送至指定隊(duì)列。
#!/usr/bin/env python
import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(
host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='direct_logs',
exchange_type='direct')
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
severities = sys.argv[1:]
if not severities:
sys.stderr.write("Usage: %s [info] [warning] [error]\n" % sys.argv[0])
sys.exit(1)
for severity in severities:
channel.queue_bind(exchange='direct_logs',
queue=queue_name,
routing_key=severity)
print(' [*] Waiting for logs. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(" [x] %r:%r" % (method.routing_key, body))
channel.basic_consume(callback,
queue=queue_name,
no_ack=True)
channel.start_consuming()
3.3 模糊匹配
exchange_type = topic
發(fā)送者路由值 隊(duì)列中
www.weshuke.python old.* -- 不匹配
age.weshuke.python old.# -- 匹配
在topic類型下狼渊,可以讓隊(duì)列綁定幾個(gè)模糊的關(guān)鍵字,之后發(fā)送者將數(shù)據(jù)發(fā)送到exchange类垦,exchange將傳入”路由值“和 ”關(guān)鍵字“進(jìn)行匹配狈邑,匹配成功,則將數(shù)據(jù)發(fā)送到指定隊(duì)列蚤认。
- # 表示可以匹配 0 個(gè) 或 多個(gè) 單詞
- * 表示只能匹配 一個(gè) 單詞
#!/usr/bin/env python
import pika
import sys
connection = pika.BlockingConnection(pika.ConnectionParameters(
host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='topic_logs',
exchange_type='topic')
result = channel.queue_declare(exclusive=True)
queue_name = result.method.queue
binding_keys = sys.argv[1:]
if not binding_keys:
sys.stderr.write("Usage: %s [binding_key]...\n" % sys.argv[0])
sys.exit(1)
for binding_key in binding_keys:
channel.queue_bind(exchange='topic_logs',
queue=queue_name,
routing_key=binding_key)
print(' [*] Waiting for logs. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(" [x] %r:%r" % (method.routing_key, body))
channel.basic_consume(callback,
queue=queue_name,
no_ack=True)
channel.start_consuming()
基于RabbitMQ的RPC
Callback queue 回調(diào)隊(duì)列
一個(gè)客戶端向服務(wù)器發(fā)送請求米苹,服務(wù)器端處理請求后,將其處理結(jié)果保存在一個(gè)存儲體中砰琢。而客戶端為了獲得處理結(jié)果蘸嘶,那么客戶在向服務(wù)器發(fā)送請求時(shí),同時(shí)發(fā)送一個(gè)回調(diào)隊(duì)列地址reply_to
陪汽。
Correlation id 關(guān)聯(lián)標(biāo)識
一個(gè)客戶端可能會發(fā)送多個(gè)請求給服務(wù)器训唱,當(dāng)服務(wù)器處理完后,客戶端無法辨別在回調(diào)隊(duì)列中的響應(yīng)具體和那個(gè)請求時(shí)對應(yīng)的挚冤。為了處理這種情況况增,客戶端在發(fā)送每個(gè)請求時(shí),同時(shí)會附帶一個(gè)獨(dú)有correlation_id
屬性训挡,這樣客戶端在回調(diào)隊(duì)列中根據(jù)correlation_id
字段的值就可以分辨此響應(yīng)屬于哪個(gè)請求澳骤。
- 客戶端發(fā)送請求:某個(gè)應(yīng)用將請求信息交給客戶端,然后客戶端發(fā)送RPC請求澜薄,在發(fā)送RPC請求到RPC請求隊(duì)列時(shí)为肮,客戶端至少發(fā)送帶有reply_to以及correlation_id兩個(gè)屬性的信息
- 服務(wù)器端工作流: 等待接受客戶端發(fā)來RPC請求,當(dāng)請求出現(xiàn)的時(shí)候肤京,服務(wù)器從RPC請求隊(duì)列中取出請求颊艳,然后處理后,將響應(yīng)發(fā)送到reply_to指定的回調(diào)隊(duì)列中.
- 客戶端接受處理結(jié)果: 客戶端等待回調(diào)隊(duì)列中出現(xiàn)響應(yīng),當(dāng)響應(yīng)出現(xiàn)時(shí)籽暇,它會根據(jù)響應(yīng)中correlation_id字段的值温治,將其返回給對應(yīng)的應(yīng)用.
服務(wù)器端
#!/usr/bin/env python
import pika
# 建立連接,服務(wù)器地址為localhost戒悠,可指定ip地址
connection = pika.BlockingConnection(pika.ConnectionParameters(
host='localhost'))
# 建立會話
channel = connection.channel()
# 聲明RPC請求隊(duì)列
channel.queue_declare(queue='rpc_queue')
# 數(shù)據(jù)處理方法
def fib(n):
if n == 0:
return 0
elif n == 1:
return 1
else:
return fib(n-1) + fib(n-2)
# 對RPC請求隊(duì)列中的請求進(jìn)行處理
def on_request(ch, method, props, body):
n = int(body)
print(" [.] fib(%s)" % n)
# 調(diào)用數(shù)據(jù)處理方法
response = fib(n)
# 將處理結(jié)果(響應(yīng))發(fā)送到回調(diào)隊(duì)列
ch.basic_publish(exchange='',
routing_key=props.reply_to,
properties=pika.BasicProperties(correlation_id = \
props.correlation_id),
body=str(response))
ch.basic_ack(delivery_tag = method.delivery_tag)
# 負(fù)載均衡熬荆,同一時(shí)刻發(fā)送給該服務(wù)器的請求不超過一個(gè)
channel.basic_qos(prefetch_count=1)
channel.basic_consume(on_request, queue='rpc_queue')
print(" [x] Awaiting RPC requests")
channel.start_consuming()
客戶端
#!/usr/bin/env python
import pika
import uuid
class FibonacciRpcClient(object):
def __init__(self):
”“”
客戶端啟動(dòng)時(shí),創(chuàng)建回調(diào)隊(duì)列绸狐,會開啟會話用于發(fā)送RPC請求以及接受響應(yīng)
“”“
# 建立連接卤恳,指定服務(wù)器的ip地址
self.connection = pika.BlockingConnection(pika.ConnectionParameters(
host='localhost'))
# 建立一個(gè)會話,每個(gè)channel代表一個(gè)會話任務(wù)
self.channel = self.connection.channel()
# 聲明回調(diào)隊(duì)列寒矿,再次聲明的原因是突琳,服務(wù)器和客戶端可能先后開啟,該聲明是冪等的符相,多次聲明拆融,但只生效一次
result = self.channel.queue_declare(exclusive=True)
# 將次隊(duì)列指定為當(dāng)前客戶端的回調(diào)隊(duì)列
self.callback_queue = result.method.queue
# 客戶端訂閱回調(diào)隊(duì)列,當(dāng)回調(diào)隊(duì)列中有響應(yīng)時(shí)啊终,調(diào)用`on_response`方法對響應(yīng)進(jìn)行處理;
self.channel.basic_consume(self.on_response, no_ack=True,
queue=self.callback_queue)
# 對回調(diào)隊(duì)列中的響應(yīng)進(jìn)行處理的函數(shù)
def on_response(self, ch, method, props, body):
if self.corr_id == props.correlation_id:
self.response = body
# 發(fā)出RPC請求
def call(self, n):
# 初始化 response
self.response = None
#生成correlation_id
self.corr_id = str(uuid.uuid4())
# 發(fā)送RPC請求內(nèi)容到RPC請求隊(duì)列`rpc_queue`镜豹,同時(shí)發(fā)送的還有`reply_to`和`correlation_id`
self.channel.basic_publish(exchange='',
routing_key='rpc_queue',
properties=pika.BasicProperties(
reply_to = self.callback_queue,
correlation_id = self.corr_id,
),
body=str(n))
while self.response is None:
self.connection.process_data_events()
return int(self.response)
# 建立客戶端
fibonacci_rpc = FibonacciRpcClient()
# 發(fā)送RPC請求
print(" [x] Requesting fib(30)")
response = fibonacci_rpc.call(30)
print(" [.] Got %r" % response)