dogpile.cache /

Filename Size Date modified Message
147 B
Unit tests are passing with the time in the mem cache lib
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Add port to .gitreview
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- 2017
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- add and document this
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Merge dogpile.core into dogpile.cache.
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- add and document this
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Merge dogpile.core into dogpile.cache.
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Use tox and pifpaf for testing
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- stable
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Add py36


Dogpile consists of two subsystems, one building on top of the other.

dogpile provides the concept of a "dogpile lock", a control structure which allows a single thread of execution to be selected as the "creator" of some resource, while allowing other threads of execution to refer to the previous version of this resource as the creation proceeds; if there is no previous version, then those threads block until the object is available.

dogpile.cache is a caching API which provides a generic interface to caching backends of any variety, and additionally provides API hooks which integrate these cache backends with the locking mechanism of dogpile.

Overall, dogpile.cache is intended as a replacement to the Beaker caching system, the internals of which are written by the same author. All the ideas of Beaker which "work" are re- implemented in dogpile.cache in a more efficient and succinct manner, and all the cruft (Beaker's internals were first written in 2005) relegated to the trash heap.


See dogpile.cache's full documentation at dogpile.cache documentation. The sections below provide a brief synopsis of the dogpile packages.


  • A succinct API which encourages up-front configuration of pre-defined "regions", each one defining a set of caching characteristics including storage backend, configuration options, and default expiration time.
  • A standard get/set/delete API as well as a function decorator API is provided.
  • The mechanics of key generation are fully customizable. The function decorator API features a pluggable "key generator" to customize how cache keys are made to correspond to function calls, and an optional "key mangler" feature provides for pluggable mangling of keys (such as encoding, SHA-1 hashing) as desired for each region.
  • The dogpile lock, first developed as the core engine behind the Beaker caching system, here vastly simplified, improved, and better tested. Some key performance issues that were intrinsic to Beaker's architecture, particularly that values would frequently be "double-fetched" from the cache, have been fixed.
  • Backends implement their own version of a "distributed" lock, where the "distribution" matches the backend's storage system. For example, the memcached backends allow all clients to coordinate creation of values using memcached itself. The dbm file backend uses a lockfile alongside the dbm file. New backends, such as a Redis-based backend, can provide their own locking mechanism appropriate to the storage engine.
  • Writing new backends or hacking on the existing backends is intended to be routine - all that's needed are basic get/set/delete methods. A distributed lock tailored towards the backend is an optional addition, else dogpile uses a regular thread mutex. New backends can be registered with dogpile.cache directly or made available via setuptools entry points.
  • Included backends feature three memcached backends (python-memcached, pylibmc, bmemcached), a Redis backend, a backend based on Python's anydbm, and a plain dictionary backend.
  • Space for third party plugins, including one which provides the dogpile.cache engine to Mako templates.