File cache is extremely slow

[Rizhiy]

Hi, I'm trying to use beaker as a base for internal caching, but getting extremely slow performance on file caching.

Here is my basic implementation:

class Cache:
    """
    General cache
    super().__init__() must be called after all attributes are declared to work properly
    """

    def __init__(self, disable=False):
        self._disable = disable
        self._cache_path = CACHE_DIR / f"{self.__class__.__name__}:{hash(self)}.pkl"
        self._cache = self._load_cache()

    def __hash__(self):
        """
        Must return unique identifier of instance to be cached
        Identifier must be the same across runs
        """
        self_vars = dict(vars(self))
        self_vars.pop("_cache", None)
        return consistent_hash(self_vars)

    def _get_data(self, key: Any) -> Any:
        """
        Return data for key
        """
        raise NotImplementedError

    def __getitem__(self, key: Any) -> Any:
        if self._disable:
            return self._get_data(key)
        try:
            value = self._cache[key]
        except KeyError:
            value = self._get_data(key)
            self._cache[key] = key
        return value

    def clear(self):
        self._cache = {}
        self._save_cache() 

    def _save_cache(self):
        with self._cache_path.open("wb") as f:
            pickle.dump(self._cache, f)

    def _load_cache(self):
        try:
            with self._cache_path.open("rb") as f:
                return pickle.load(f)
        except (FileNotFoundError, EOFError):
            return {}

    def __del__(self):
        self._save_cache()

and my implementation using beaker:

class Cache:
    """
    General cache
    super().__init__() must be called after all attributes are declared to work properly
    """

    def __init__(self, expire_time=60 * 60 * 24 * 7, disable=False, cache_type="file"):
        self._disable = disable
        self._cache = cache.get_cache(f"{self.__class__.__name__}:{hash(self)}", expire=expire_time, type=cache_type)

    def __hash__(self):
        """
        Must return unique identifier of instance to be cached
        Identifier must be the same across runs
        """
        self_vars = dict(vars(self))
        self_vars.pop("_cache", None)
        return consistent_hash(self_vars)

    def _get_data(self, key: Any) -> Any:
        """
        Return data for key
        """
        raise NotImplementedError

    def __getitem__(self, key: Any) -> Any:
        if self._disable:
            return self._get_data(key)
        try:
            value = self._cache[key]
        except KeyError:
            value = self._get_data(key)
            self._cache[key] = key
        return value

    def clear(self):
        self._cache.clear()

Beaker caching appears to work, but I'm getting very bad performance:
My own: 50k+/s vs beakers 100/s, nearly 3 orders of magnitude.

I understand that there is some overhead on checking time and some splitting between different files, but this seems too much.

What am I doing wrong?

[Rizhiy]

The problems appears to be that beaker loads the pickle file on every request, which is not required in vast majority of cases.