高并发云服务器秒杀

# 示例代码：使用Nginx进行负载均衡
upstream backend {
    server 192.168.1.1;
    server 192.168.1.2;
    server 192.168.1.3;
}

server {
    listen 80;
    location / {
        proxy_pass http://backend;
    }
}

# 示例代码：使用Redis缓存数据
import redis

r = redis.Redis(host='localhost', port=6379, db=0)

def get_data(key):
    data = r.get(key)
    if data is None:
        data = fetch_from_database(key)
        r.setex(key, 3600, data)  # 缓存1小时
    return data

# 示例代码：使用令牌桶算法进行限流
import time

class TokenBucket:
    def __init__(self, capacity, fill_rate):
        self.capacity = float(capacity)
        self.tokens = float(capacity)
        self.fill_rate = float(fill_rate)
        self.timestamp = time.time()

    def consume(self, tokens):
        now = time.time()
        if self.tokens < tokens:
            return False
        self.tokens -= tokens
        return True

bucket = TokenBucket(100, 10)  # 容量为100，每秒填充10个令牌

def handle_request():
    if bucket.consume(1):
        # 处理请求
        pass
    else:
        # 拒绝请求
        pass

# 示例代码：使用RabbitMQ进行异步任务处理
import pika

connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()

channel.queue_declare(queue='task_queue')

def callback(ch, method, properties, body):
    # 处理任务
    pass

channel.basic_consume(queue='task_queue', on_message_callback=callback, auto_ack=True)

print('等待任务...')
channel.start_consuming()