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=1, threads_num=100, max_retry_times=5, is_support_mutil_param=True, qps=10) redis_customer.start_consuming_message()
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
redis-queue-tool-3.2.tar.gz
(4.8 kB
view hashes)
Built Distribution
Close
Hashes for redis_queue_tool-3.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f80c858b631b63609bfb3e842a9a53536bba7f0822b60ed6cccd4b466452e858 |
|
MD5 | ddaf19f199a85548b95bab973a39659c |
|
BLAKE2b-256 | 8ccbe76a3261fd460b508e70072ecb2ac627df59f167211be6d13691e33f54d4 |