kvlite is small open-source library for storing documents in SQL databases. Only three methods are needed to manipulate documents in database: get(), put(), delete(). At the moment supported MySQL and SQLite databases only. A document can be string, list/tuple or dictionary. Default serialization is based on cPickleSerializer methods but of course it is possible to define own serialization to store data in kvlite databases.
A document is a string, list/tuple, dictionary or any structure which can be serialized by cPickle, JSON or own serializer.
A collection is a group of documents stored in kvlite. It can be thought of as roughly the equivalent of a table in a relational database.
The format of uri (uniform resource identifier) for databases:
- for mysql: 'mysql://username:password@hostname:port/database.collection_name'
- for sqlite: 'sqlite://path-to-sqlite-file:collection_name' or 'sqlite://memory:collection_name'
In case when sqlite is in use two variants of collection is possible: store data in file or store data in memory.
There's two ways how to simplify access to kvlite's data: command line and web interface. Command line:
python -mkvlite.cli
Web interface:
python -mkvlite.webui
please check installation guideline <https://github.com/ownport/kvlite/blob/master/docs/install.md>
- Utils <https://github.com/ownport/kvlite/blob/master/docs/api.md#collection-utils>
- Collection <https://github.com/ownport/kvlite/blob/master/docs/api.md#collection>
- CollectionManager <https://github.com/ownport/kvlite/blob/master/docs/api.md#collectionmanager>
- Serializers <https://github.com/ownport/kvlite/blob/master/docs/api.md#serializers>
- kvlite diagram <https://raw.github.com/ownport/kvlite/master/docs/kvlite.png>
- How FriendFeed uses MySQL to store schema-less data <https://github.com/ownport/kvlite/blob/master/docs/articles/friendfeed-mysql-datastore.md>