Comments (3)
By the way, I am trying to read your code and I do not understand the idea and the purpose of the:
async def _wrap(*args, _from_cache: CacheDetect = context_cache_detect, **kwargs):
# some code here...
if cached is not _empty:
_from_cache._set(_cache_key, ttl=ttl, name="simple", template=_key_template)
# some code here...
Could you please tell very shortly, why do we need CacheDetect
? Thanks.
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Hello
CacheDetect
- a thing that can help you to detecting a source of result of a function call - you can read about it here : https://github.com/Krukov/cashews#detect-the-source-of-a-result
Regarding the issue, you did a parallel call with gather (await asyncio.gather(*tasks)
) without any lock.
So to have second get
with cache you should make a lock
@cache.locked(ttl="10s")
@cache(ttl="10m")
async def get():
...
from cashews.
CacheDetect - a thing that can help you to detecting a source of result of a function call - you can read about it here :
Thank you.
you did a parallel call with gather
Oh, sorry, my bad.
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Related Issues (20)
- Update README with migration notes: simple decorator usage is broken after `NotConfiguredError` introducing HOT 4
- How to cache StreamingResponse/Generator? HOT 26
- Alias/tags for cache keys for invalidation
- Transaction for cache changes
- auto strategy to cache HOT 1
- Disabling cache doesnโt work reliably in tests HOT 3
- Cache `bytes` more efficient HOT 1
- lock performance HOT 4
- Invalid register tag with optional arguments HOT 2
- Not support redis unix socket HOT 2
- Error when delete tags the cache before caching itself HOT 2
- TTL type annotation
- Key template doesnt work correctly with class methods HOT 2
- Get keys number
- Allow cache exceptions aka. "white exceptions" HOT 6
- Current implementation of `thunder_protection` may cause "Future exception was never retrieved" warning HOT 1
- Connecting Redis on Kubernetes with backend using cashews HOT 1
- High increasing load on the CPU HOT 7
- Enable "pre-commit" bot to bump linters versions automatically HOT 1
- Improve basic api with external exceptions in case of any Backend errors
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