Common object storage frontend that supports dictionary-style access, object serialization and compression, and multiple storage and caching backends.
Currently supported storage backends are:
- Amazon S3 Web Service
- Apache Cassandra
- Berkeley Source Database
- DBM
- Durus
- FTP
- Filesystem
- Firebird
- git
- HDF5
- LevelDB
- Memory
- Mercurial
- Microsoft SQL Server
- MongoDB
- MySQL
- Oracle
- PostgreSQL
- Redis
- SQLite
- Subversion
- Zope Object Database (ZODB)
Currently supported caching backends are:
- Filesystem
- Firebird
- Memory
- Microsoft SQL Server
- MySQL
- Oracle
- PostgreSQL
- Redis
- SQLite
- memcache
The simplest shove use case is:
>>> from shove import Shove
>>> store = Shove()which creates an in-memory store and cache.
The use of other backends for storage and caching involves passing an module URI or existing store or cache instance to shove following the form:
>>> from shove import Shove
>>> <storename> = Shove(<store_uri>, <cache_uri>)Each module-specific URI form is documented in its module. The URI form follows the URI form used by SQLAlchemy:
http://www.sqlalchemy.org/docs/core/engines.html
shove fully implements the Python dictionary/mapping API:
http://docs.python.org/lib/typesmapping.html