现在的 Python 的异步 redis,有三种( aredis 、aioredis、asynio_redis)
From:https://zhuanlan.zhihu.com/p/24720629
asyncio 从 redis 取任务
asyncio 怎么与 redis 队列协同?:https://www.v2ex.com/amp/t/489042
github 地址:https://github.com/NoneGG/aredis
aredis 官方英文文档:https://aredis.readthedocs.io/en/latest/
aredis 一个高效和用户友好的异步Redis客户端:https://www.ctolib.com/aredis.html
:https://github.com/NoneGG/aredis/tree/master/examples
pip install aredis
更多使用示例:https://github.com/NoneGG/aredis/tree/master/examples
1. 单节点版
import asyncio
from aredis import StrictRedis
async def example():
client = StrictRedis(host='127.0.0.1', port=6379, db=0)
await client.flushdb()
await client.set('foo', 1)
assert await client.exists('foo') is True
await client.incr('foo', 100)
assert int(await client.get('foo')) == 101
await client.expire('foo', 1)
await asyncio.sleep(0.1)
await client.ttl('foo')
await asyncio.sleep(1)
assert not await client.exists('foo')
loop = asyncio.get_event_loop()
loop.run_until_complete(example())
2. 集群版
import asyncio
from aredis import StrictRedisCluster
async def example():
client = StrictRedisCluster(host='172.17.0.2', port=7001)
await client.flushdb()
await client.set('foo', 1)
await client.lpush('a', 1)
print(await client.cluster_slots())
await client.rpoplpush('a', 'b')
assert await client.rpop('b') == b'1'
loop = asyncio.get_event_loop()
loop.run_until_complete(example())
github 地址:https://github.com/aio-libs/aioredis
官方文档:https://aioredis.readthedocs.io/en/v1.3.0/
安装:pip install aioredis
连接 redis
import asyncio
import aioredis
async def main():
redis = await aioredis.create_redis_pool('redis://localhost')
await redis.set('my-key', 'value')
value = await redis.get('my-key', encoding='utf-8')
print(value)
redis.close()
await redis.wait_closed()
asyncio.run(main())
simple low-level interface:
import asyncio
import aioredis
loop = asyncio.get_event_loop()
async def go():
conn = await aioredis.create_connection(('localhost', 6379), loop=loop)
await conn.execute('set', 'my-key', 'value')
val = await conn.execute('get', 'my-key')
print(val)
conn.close()
await conn.wait_closed()
loop.run_until_complete(go())
# will print 'value'
simple high-level interface:
import asyncio
import aioredis
loop = asyncio.get_event_loop()
async def go():
redis = await aioredis.create_redis(('localhost', 6379), loop=loop)
await redis.set('my-key', 'value')
val = await redis.get('my-key')
print(val)
redis.close()
await redis.wait_closed()
loop.run_until_complete(go())
# will print 'value'
Connections pool:
import asyncio
import aioredis
loop = asyncio.get_event_loop()
async def go():
pool = await aioredis.create_pool(
('localhost', 6379), minsize=5, maxsize=10, loop=loop
)
with await pool as redis: # high-level redis API instance
await redis.set('my-key', 'value')
print(await redis.get('my-key'))
# graceful shutdown
pool.close()
await pool.wait_closed()
loop.run_until_complete(go())
连接到指定 db 的 两种方法:
redis = await aioredis.create_redis_pool('redis://localhost/')
await redis.select(3)
连接带密码的 redis 实例:
The password can be specified either in keyword argument or in address URI:
redis = await aioredis.create_redis_pool('redis://localhost', password='sEcRet')
redis = await aioredis.create_redis_pool('redis://:sEcRet@localhost/')
结果编码:
By default aioredis
will return bytes
for most Redis commands that return string replies. Redis error replies are known to be valid UTF-8 strings so error messages are decoded automatically.
If you know that data in Redis is valid string you can tell aioredis
to decode result by passing keyword-only argument encoding
in a command call:
示例代码:
import asyncio
import aioredis
async def main():
redis = await aioredis.create_redis_pool('redis://localhost')
await redis.set('key', 'string-value')
bin_value = await redis.get('key')
assert bin_value == b'string-value'
str_value = await redis.get('key', encoding='utf-8')
assert str_value == 'string-value'
redis.close()
await redis.wait_closed()
asyncio.run(main())
示例代码:
import asyncio
import aioredis
async def main():
redis = await aioredis.create_redis_pool('redis://localhost')
await redis.hmset_dict(
'hash', key1='value1', key2='value2', key3=123
)
result = await redis.hgetall('hash', encoding='utf-8')
assert result == {
'key1': 'value1',
'key2': 'value2',
'key3': '123', # note that Redis returns int as string
}
redis.close()
await redis.wait_closed()
asyncio.run(main())
事务( Multi/Exec )
import asyncio
import aioredis
async def main():
redis = await aioredis.create_redis_pool('redis://localhost')
tr = redis.multi_exec()
tr.set('key1', 'value1')
tr.set('key2', 'value2')
ok1, ok2 = await tr.execute()
assert ok1
assert ok2
asyncio.run(main())
multi_exec()
method creates and returns new MultiExec
object which is used for buffering commands and then executing them inside MULTI/EXEC block.
重要提示:不要在 类似 ( tr.set('foo', '123')
) 上 使用 await
buffered 命令, 因为它将被永远阻塞。
下面的代码将会给永远阻塞:
tr = redis.multi_exec()
await tr.incr('foo') # that's all. we've stuck!
发布 和 订阅 模式
aioredis 提供了对 Redis 的 发布/订阅(Publish / Subscribe) 消息的支持。
To start listening for messages you must call either subscribe()
or psubscribe()
method. Both methods return list of Channel
objects representing subscribed channels.
Right after that the channel will receive and store messages (the Channel
object is basically a wrapper around asyncio.Queue
). To read messages from channel you need to use get()
or get_json()
coroutines.
订阅 和 阅读 频道 示例:
import asyncio
import aioredis
async def main():
redis = await aioredis.create_redis_pool('redis://localhost')
ch1, ch2 = await redis.subscribe('channel:1', 'channel:2')
assert isinstance(ch1, aioredis.Channel)
assert isinstance(ch2, aioredis.Channel)
async def reader(channel):
async for message in channel.iter():
print("Got message:", message)
asyncio.get_running_loop().create_task(reader(ch1))
asyncio.get_running_loop().create_task(reader(ch2))
await redis.publish('channel:1', 'Hello')
await redis.publish('channel:2', 'World')
redis.close()
await redis.wait_closed()
asyncio.run(main())
订阅 和 阅读 模式:
import asyncio
import aioredis
async def main():
redis = await aioredis.create_redis_pool('redis://localhost')
ch, = await redis.psubscribe('channel:*')
assert isinstance(ch, aioredis.Channel)
async def reader(channel):
async for ch, message in channel.iter():
print("Got message in channel:", ch, ":", message)
asyncio.get_running_loop().create_task(reader(ch))
await redis.publish('channel:1', 'Hello')
await redis.publish('channel:2', 'World')
redis.close()
await redis.wait_closed()
asyncio.run(main())
Sentinel client
import asyncio
import aioredis
async def main():
sentinel = await aioredis.create_sentinel(
['redis://localhost:26379', 'redis://sentinel2:26379'])
redis = sentinel.master_for('mymaster')
ok = await redis.set('key', 'value')
assert ok
val = await redis.get('key', encoding='utf-8')
assert val == 'value'
asyncio.run(main())
Sentinel 客户端需要一个 Redis Sentinel 地址列表,来连接并开始发现服务。
调用 master_for() 或 slave_for() 方法 将返回连接到 Sentinel 监视的指定服务的 Redis 客户端。
Sentinel 客户端将自动检测故障转移并重新连接 Redis 客户端。
import asyncio
import aioredis
loop = asyncio.get_event_loop()
async def go():
conn = await aioredis.create_connection(
('localhost', 6379), loop=loop)
await conn.execute('set', 'my-key', 'value')
val = await conn.execute('get', 'my-key')
print(val)
conn.close()
await conn.wait_closed()
loop.run_until_complete(go())
# will print 'value'
连接池
from sanic import Sanic, response
import aioredis
app = Sanic(__name__)
@app.route("/")
async def handle(request):
async with request.app.redis_pool.get() as redis:
await redis.execute('set', 'my-key', 'value')
val = await redis.execute('get', 'my-key')
return response.text(val.decode('utf-8'))
@app.listener('before_server_start')
async def before_server_start(app, loop):
app.redis_pool = await aioredis.create_pool(
('localhost', 6379),
minsize=5,
maxsize=10,
loop=loop
)
@app.listener('after_server_stop')
async def after_server_stop(app, loop):
app.redis_pool.close()
await app.redis_pool.wait_closed()
if __name__ == '__main__':
app.run(host="0.0.0.0", port=80)
示例:
import asyncio
import aioredis
loop = asyncio.get_event_loop()
async def go_1():
conn = await aioredis.create_connection(
('localhost', 6379), loop=loop)
await conn.execute('set', 'my-key', 'value')
val = await conn.execute('get', 'my-key')
print(val)
conn.close()
await conn.wait_closed()
async def go_2():
redis = await aioredis.create_redis(('localhost', 6379), loop=loop)
await redis.set('my-key', 'value')
val = await redis.get('my-key')
print(val)
redis.close()
await redis.wait_closed()
async def go_3():
redis_pool = await aioredis.create_pool(('localhost', 6379), minsize=5, maxsize=10, loop=loop)
async with redis_pool.get() as conn: # high-level redis API instance
await conn.execute('set', 'my-key', 'value')
print(await conn.execute('get', 'my-key'))
# graceful shutdown
redis_pool.close()
await redis_pool.wait_closed()
loop.run_until_complete(go_1())
# loop.run_until_complete(go_2())
# loop.run_until_complete(go_3())
GitHub 地址:https://github.com/jonathanslenders/asyncio-redis
官方英文文档:https://asyncio-redis.readthedocs.io/en/latest/
安装:pip install asyncio_redis
A asyncio_redis.Connection
instance will take care of the connection and will automatically reconnect, using a new transport when the connection drops. This connection class also acts as a proxy to a asyncio_redis.RedisProtocol
instance; any Redis command of the protocol can be called directly at the connection.
import asyncio
import asyncio_redis
async def example():
# Create Redis connection
connection = await asyncio_redis.Connection.create(host='127.0.0.1', port=6379)
# Set a key
await connection.set('my_key', 'my_value')
# When finished, close the connection.
connection.close()
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(example())
Requests will automatically be distributed among all connections in a pool. If a connection is blocking because of --for instance-- a blocking rpop, another connection will be used for new commands.
import asyncio
import asyncio_redis
async def example():
# Create Redis connection
connection = await asyncio_redis.Pool.create(host='127.0.0.1', port=6379, poolsize=10)
# Set a key
await connection.set('my_key', 'my_value')
# When finished, close the connection pool.
connection.close()
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(example())
import asyncio
import asyncio_redis
async def example():
# Create Redis connection
connection = await asyncio_redis.Pool.create(host='127.0.0.1', port=6379, poolsize=10)
# Create transaction
transaction = await connection.multi()
# Run commands in transaction (they return future objects)
f1 = await transaction.set('key', 'value')
f2 = await transaction.set('another_key', 'another_value')
# Commit transaction
await transaction.exec()
# Retrieve results
result1 = await f1
result2 = await f2
# When finished, close the connection pool.
connection.close()
It's recommended to use a large enough poolsize. A connection will be occupied as long as there's a transaction running in there.
import asyncio
import asyncio_redis
async def example():
# Create connection
connection = await asyncio_redis.Connection.create(host='127.0.0.1', port=6379)
# Create subscriber.
subscriber = await connection.start_subscribe()
# Subscribe to channel.
await subscriber.subscribe([ 'our-channel' ])
# Inside a while loop, wait for incoming events.
while True:
reply = await subscriber.next_published()
print('Received: ', repr(reply.value), 'on channel', reply.channel)
# When finished, close the connection.
connection.close()
import asyncio
import asyncio_redis
code = """
local value = redis.call('GET', KEYS[1])
value = tonumber(value)
return value * ARGV[1]
"""
async def example():
connection = await asyncio_redis.Connection.create(host='127.0.0.1', port=6379)
# Set a key
await connection.set('my_key', '2')
# Register script
multiply = await connection.register_script(code)
# Run script
script_reply = await multiply.run(keys=['my_key'], args=['5'])
result = await script_reply.return_value()
print(result) # prints 2 * 5
# When finished, close the connection.
connection.close()
import asyncio
import asyncio_redis
async def example():
loop = asyncio.get_event_loop()
# Create Redis connection
transport, protocol = await loop.create_connection(
asyncio_redis.RedisProtocol, '127.0.0.1', 6379
)
# Set a key
await protocol.set('my_key', 'my_value')
# Get a key
result = await protocol.get('my_key')
print(result)
# Close transport when finished.
transport.close()
if __name__ == '__main__':
asyncio.get_event_loop().run_until_complete(example())
pass
asyncio-redis 是 Python asyncio 的 Redis 客户端 (PEP 3156)。这个 Redis 库是完全异步的,Reids 服务器非阻塞客户端,依赖于 asyncio,所以要求 Python 3.3. 以上版本。
安装:pip install asyncio-redis
创建一个redisUtils.py
class Redis:
"""
A simple wrapper class that allows you to share a connection
pool across your application.
"""
_pool = None
async def get_redis_pool(self):
REDIS_CONFIG = {'host': 'localhost', 'port': 6379}
try:
from config import REDIS_CONFIG
except:
pass
if not self._pool:
self._pool = await asyncio_redis.Pool.create(
host=REDIS_CONFIG['host'], port=REDIS_CONFIG['port'], password=REDIS_CONFIG.get('password'), poolsize=10
)
return self._pool
async def close(self):
if self._pool:
self._pool.close()
再创建一个run.py
from utils.redisUtils import Redis #引用上面的配置
import json as jsonn
redis = Redis()
r = await redis.get_redis_pool()
key = '/hushuai/product'
await r.set(key, 'value')
val = await r.get(key)
print(val)
key_list = '/hushuai/product_list'
product_list_size = await r.llen(key_list)
print(product_list_size)
if product_list_size != 0:
if product_list_size > start_page:
product_list = await r.lrange(key, start_page, end_page)
product_list = await product_list.aslist()
product_list_other = []
for i in product_list:
product_list_other.append(jsonn.loads(i.replace('\'', '\"').replace('None', '""')))
data = [product_list_size, product_list_other]
else:
data = await get_items(app.pool,"product_view",re_params,with_total=with_total,pager=pager)
else:
data = await get_items(app.pool, "product_view", re_params, with_total=with_total, pager=pager)
data_redis = await get_items(app.pool, "product_view", re_params)
list = []
for product_data in data_redis:
list.append(str(product_data))
if list:
await r.rpush(key, list)
主要讲的是python 使用异步redis的方式,这里只是做了redis的str和list两种类型的数据处理。