Create Multiple caches

[Sagaryal]

In cachetools, we can create multiple cache instance like below

from cachetools import TTLCache, cached

A_cache = TTLCache(maxsize=100, ttl=60)
B_cache = TTLCache(maxsize=100, ttl=60)

@cached(cache=A_cache)
def a():
    # some code

@cached(cache=B_cache)
def b():
    # some code

A_cache.clear()
B_cache.clear()

I couldn't find a way to replicate the above code using aiocache?

[Dreamsorcerer]

If you look through the milestone 1.0 issues, you'll see that the plan for v1 is to pass the cache instance, just as you've done in your example. But, for the 0.x releases, you might need to use the config thing to define the caches, or just make sure to use different arguments to namespace the caches.

[Sagaryal]

If you look through the milestone 1.0 issues, you'll see that the plan for v1 is to pass the cache instance, just as you've done in your example. But, for the 0.x releases, you might need to use the config thing to define the caches, or just make sure to use different arguments to namespace the caches.

I suppose you are talking about this

caches.set_config({
    'default': {
        'cache': "aiocache.SimpleMemoryCache",
        'serializer': {
            'class': "aiocache.serializers.StringSerializer"
        }
    },
    'redis_alt': {
        'cache': "aiocache.RedisCache",
        "host": "127.0.0.1",
        'port': 6379,
        "socket_connect_timeout": 1,
        'serializer': {
            'class': "aiocache.serializers.PickleSerializer"
        },
        'plugins': [
            {'class': "aiocache.plugins.HitMissRatioPlugin"},
            {'class': "aiocache.plugins.TimingPlugin"}
        ]
    }
})

But how would you reference individual ones in decorator then? I don't want to do below later on except clear(). Also I am not sure if I have to create a cache first.

cache = caches.create("redis_alt")
await cache.set("key", "value")

or just make sure to use different arguments to namespace the caches.

Could you please clarify a bit more?

[Dreamsorcerer]

Appears to be an alias parameter?
https://github.com/aio-libs/aiocache/blob/master/aiocache/decorators.py#L52-L54

We seem to be missing a reference section in the docs...