Skip to main content

django-cache-utils provides some utils for make cache-related work easier:

  • cached decorator. It can be applied to function, method or classmethod and can be used with any django cache backend (built-in or third-party like django-newcache).

    Supports fine-grained invalidation for exact parameter set (with any backend) and bulk cache invalidation (only with group_backend). Cache keys are human-readable because they are constructed from callable’s full name and arguments and then sanitized to make memcached happy.

    Wrapped callable gets invalidate methods. Call invalidate with same arguments as function and the cached result for these arguments will be invalidated.

  • group_backend. It is a django memcached cache backend with group O(1) invalidation ability, dog-pile effect prevention using MintCache algorythm and project version support to allow gracefull updates and multiple django projects on same memcached instance. Long keys (>250) are auto-truncated and appended with md5 hash.

Installation

pip install django-cache-utils

and then (optional):

# settings.py
CACHE_BACKEND = 'cache_utils.group_backend://localhost:11211/'

Usage

cached decorator can be used with any django caching backend (built-in or third-party like django-newcache):

from cache_utils.decorators import cached

@cached(60)
def foo(x, y=0):
    print 'foo is called'
    return x+y

foo(1,2) # foo is called
foo(1,2)
foo(5,6) # foo is called
foo(5,6)
foo.invalidate(1,2)
foo(1,2) # foo is called
foo(5,6)
foo(x=2) # foo is called
foo(x=2)

class Foo(object):
    @cached(60)
    def foo(self, x,y):
        print "foo is called"
        return x+y

obj = Foo()
obj.foo(1,2) # foo is called
obj.foo(1,2)

With group_backend cached decorator supports bulk O(1) invalidation:

from django.db import models
from cache_utils.decorators import cached

class CityManager(models.Manager):

    # cache a method result. 'self' parameter is ignored
    @cached(60*60*24, 'cities')
    def default(self):
        return self.active()[0]

    # cache a method result. 'self' parameter is ignored, args and
    # kwargs are used to construct cache key
    @cached(60*60*24, 'cities')
    def get(self, *args, **kwargs):
        return super(CityManager, self).get(*args, **kwargs)


class City(models.Model):
    # ... field declarations

    objects = CityManager()

    # an example how to cache django model methods by instance id
    def has_offers(self):
        @cached(30)
        def offer_count(pk):
            return self.offer_set.count()
        return history_count(self.pk) > 0

# cache the function result based on passed parameter
@cached(60*60*24, 'cities')
def get_cities(slug)
    return City.objects.get(slug=slug)


# cache for 'cities' group can be invalidated at once
def invalidate_city(sender, **kwargs):
    cache.invalidate_group('cities')
pre_delete.connect(invalidate_city, City)
post_save.connect(invalidate_city, City)

Notes

If decorated function returns None cache will be bypassed.

django-cache-utils use 2 reads from memcached to get a value if ‘group’ argument is passed to ‘cached’ decorator:

@cached(60)
def foo(param)
    return ..

@cached(60, 'my_group')
def bar(param)
    return ..

# 1 read from memcached
value1 = foo(1)

# 2 reads from memcached + ability to invalidate all values at once
value2 = bar(1)

Running tests

cd test_project
./runtests.py

Release files for django-cache-utils 0.7.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for django-cache-utils 0.7.2
File Size Uploaded
django-cache-utils-0.7.2.tar.gz 7.2 kB Details

Release files / django-cache-utils-0.7.2.tar.gz

Download URL django-cache-utils-0.7.2.tar.gz
Size 7.2 kB
Tags Source
SHA-256 checksum
How to use checksums
30ebe5bb986bd6716a52ade23e33a29099a0ef005f8c6f568fdd2b8c52ab1b25
BLAKE2b-256 checksum
How to use checksums
c92cf687106f99864e405b8cbf487b43209de82ecf93de6672f1018baaebe1fc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release history Release notifications | RSS feed

This release

0.7.2 This release

1 release file

0.7.1

1 release file

0.7.0

1 release file

0.6.3

1 release file

0.6.2

1 release file

0.6.1

1 release file

0.5.1

1 release file

0.5.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page