shove /

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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:

shove fully implements the Python dictionary/mapping API:
Tip: Filter by directory path e.g. /media app.js to search for public/media/app.js.
Tip: Use camelCasing e.g. ProjME to search for
Tip: Filter by extension type e.g. /repo .js to search for all .js files in the /repo directory.
Tip: Separate your search with spaces e.g. /ssh pom.xml to search for src/ssh/pom.xml.
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