2015-03-22 06:18:45 +00:00
|
|
|
``cacheutils`` - Caches and caching
|
2015-04-04 23:11:43 +00:00
|
|
|
===================================
|
2015-03-22 00:12:50 +00:00
|
|
|
|
|
|
|
.. automodule:: boltons.cacheutils
|
2015-04-04 23:11:43 +00:00
|
|
|
|
|
|
|
|
|
|
|
Least-Recently Inserted (LRI)
|
2015-04-05 03:19:36 +00:00
|
|
|
-----------------------------
|
2015-04-04 23:11:43 +00:00
|
|
|
|
|
|
|
The :class:`LRI` is the simpler cache, implementing a very simple first-in,
|
|
|
|
first-out (FIFO) approach to cache eviction. If the use case calls for
|
|
|
|
simple, very-low overhead caching, such as somewhat expensive local
|
|
|
|
operations (e.g., string operations), then the LRI is likely the right
|
|
|
|
choice.
|
|
|
|
|
|
|
|
.. autoclass:: boltons.cacheutils.LRI
|
|
|
|
:members:
|
|
|
|
|
|
|
|
Least-Recently Used (LRU)
|
2015-04-05 03:19:36 +00:00
|
|
|
-------------------------
|
2015-04-04 23:11:43 +00:00
|
|
|
|
|
|
|
The :class:`LRU` is the more advanced cache, but it's still quite
|
|
|
|
simple. When it reaches capacity, it replaces the least-recently used
|
|
|
|
item. This strategy makes the LRU a more effective cache than the LRI
|
|
|
|
for a wide variety of applications, but also entails more operations
|
|
|
|
for all of its APIs, especially reads. Unlike the :class:`LRI`, the
|
|
|
|
LRU has threadsafety built in.
|
|
|
|
|
2015-04-05 03:19:36 +00:00
|
|
|
.. autoclass:: boltons.cacheutils.LRU
|
2015-03-22 00:12:50 +00:00
|
|
|
:members:
|
2015-04-05 03:54:20 +00:00
|
|
|
|
|
|
|
|
|
|
|
Automatic function caching
|
|
|
|
--------------------------
|
|
|
|
|
|
|
|
Continuing in the theme of cache tunability and experimentation,
|
|
|
|
``cacheutils`` also offers a way to pluggably cache function return
|
|
|
|
values: the :func:`cached` function decorator.
|
|
|
|
|
|
|
|
.. autofunction:: boltons.cacheutils.cached
|
|
|
|
|
|
|
|
Similar functionality can be found in Python 3.4's :mod:`functools`
|
|
|
|
module, though it is made for cache pluggability and does not support
|
|
|
|
sharing the cache object across multiple functions.
|