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mongo-memoize 0.0.4

A Python decorator library for caching function results in MongoDB

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():
    ...
 
File Type Py Version Uploaded on Size
mongo-memoize-0.0.4.tar.gz (md5) Source 2014-11-09 4KB
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  • Author: Ikuya Yamada
  • Home Page: http://github.com/ikuyamada/mongo-memoize/
  • License:
    Copyright 2014 Ikuya Yamada
    
       Licensed under the Apache License, Version 2.0 (the "License");
       you may not use this file except in compliance with the License.
       You may obtain a copy of the License at
    
           http://www.apache.org/licenses/LICENSE-2.0
    
       Unless required by applicable law or agreed to in writing, software
       distributed under the License is distributed on an "AS IS" BASIS,
       WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
       See the License for the specific language governing permissions and
       limitations under the License.
  • Package Index Owner: ikuyamada
  • DOAP record: mongo-memoize-0.0.4.xml