Welcome to mongo-memoize’s documentation!

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A Python decorator library for instantly caching function results in MongoDB.

Basic Usage

from mongo_memoize import memoize

@memoize()
def func():
    ...

Customization

You can specify custom serializer and key_generator. serializer is used to serialize function results in order to convert them into formats that can be stored in MongoDB. key_generator generates a cache key from the function arguments. PickleSerializer and PickleMD5KeyGenerator are used by default.

from mongo_memoize import memoize, NoopSerializer, PickleMD5KeyGenerator

@memoize(serializer=NoopSerializer, key_generator=PickleMD5KeyGenerator)
def func():
    ...

Using Capped Collection

Capped collection is a MongoDB feature which allows to limit the maximum size of the collection. By setting capped=True, a capped collection is created automatically.

from mongo_memoize import memoize

@memoize(capped=True, capped_size=100000000)
def func():
    ...

For further information, please refer the API Reference.

Contents

Indices and tables