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reids高并发队列(高并发爬虫利器)

Project description

包安装:

pip install redis-queue-tool

使用例子:

from redis_queue_tool import RedisQueue
from redis_queue_tool.RedisQueue import RedisPublish, RedisCustomer


# redis连接配置
RedisQueue.redis_host = '127.0.0.1'
RedisQueue.redis_password = ''
RedisQueue.redis_port = 6379
RedisQueue.redis_db = 8

quenen_name = 'test1'
# 初始化发布队列 fliter_rep=True任务自动去重
redis_pub = RedisPublish(queue_name=quenen_name,fliter_rep=False, max_push_size=50)

result = [str(i) for i in range(1, 501)]

def print_msg_str(msg):
    print(f"msg_str:{msg}")

for zz in result:
    redis_pub.publish_redispy_str(zz)  # 写入字符串任务

# 多线程消费字符串任务
redis_customer = RedisCustomer(quenen_name, consuming_function=print_msg_str, process_num=5, threads_num=100,
                               max_retry_times=5)
redis_customer.start_consuming_message()

for zz in result:
    redis_pub.publish_redispy(c=zz, b=zz, a=zz)  # 写入字典任务 {"c":zz,"b":zz,"a":zz}

# redis_pub.publish_redispy_list(result)  # 批量提交任务1

def print_msg_dict(a,b,c):
    print(f"msg_dict:{a},{b},{c}")

# 多线程消费字典任务
redis_customer = RedisCustomer(quenen_name, consuming_function=print_msg_dict,process_num=5,threads_num=100,
                               max_retry_times=5,is_support_mutil_param=True)
redis_customer.start_consuming_message()

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3.0

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