Skip to main content

Automated caching and invalidation for the Django ORM

Project description

Django-cachebot provides automated caching and invalidation for the Django ORM.

Installation

  1. easy_install django-cachebot or pip install django-cachebot

  2. Add cachebot to your INSTALLED_APPS

  3. Set a cache backend to one of the backends in cachebots.backends, for instance:

    CACHE_BACKEND = 'cachebot.backends.memcached://127.0.0.1:11211/?timeout=0'

Current supported backends are:

cachebot.backends.dummy
cachebot.backends.memcached
cachebot.backends.pylibmcd

Cachebot monkey patches the default Django manager and queryset to make CacheBotManager and CachedQuerySet the defaults used by your Django project.

Usage

Suppose you had a query that looked like this and you wanted to cache it:

Photo.objects.filter(user=user, status=2)

Just add .cache() to the queryset chain like so:

Photo.objects.cache().filter(user=user, status=2)

This query will get invalidated if any of the following conditions are met:

1. One of the objects returned by the query is altered.
2. The user is altered.
3. A Photo is modified and has status = 2.
4. A Photo is modified and has user = user.

This invalidation criteria is probably too cautious, because we don’t want to invalidate this cache every time a Photo with status = 2 is saved. To fine tune the invalidation criteria, we can specify to only invalidate on certain fields. For example:

Photo.objects.cache('user').filter(user=user, status=2)

This query will get invalidated if any of the following conditions are met:

1. One of the objects returned by the query is altered.
2. The user is altered.
3. A Photo is modified and has user = user.

django-cachebot can also handle select_related, forward relations, and reverse relations, ie:

Photo.objects.select_related().cache('user').filter(user__username="david", status=2)

Photo.objects.cache('user').filter(user__username="david", status=2)

Photo.objects.cache('message__sender').filter(message__sender=user, status=2)

Settings

CACHEBOT_CACHE_GET default: False

if CACHEBOT_CACHE_GET = True, all objects.get queries will automatically be cached. This can be overridden at the manager level like so:

class Photos(models.Model):
    ...
    objects = models.Manager(cache_get=True)

CACHEBOT_CACHE_ALL default: False

if CACHEBOT_CACHE_ALL = True, all queries will automatically be cached. This can be overridden at the manager level like so:

class Photos(models.Model):
    ...
    objects = models.Manager(cache_all=True)

CACHE_PREFIX default: ‘’

Suppose you have a development and production server sharing the same memcached server. Normally this is a bad idea because each server might be overwriting the other server’s cache keys. If you add CACHE_PREFIX to your settings, all cache keys will have that prefix appended to them so you can avoid this problem.

Caveats (Important!)

  1. django-cachebot requires django 1.2 or greater

  2. Adding/Removing objects with a ManyRelatedManager will not automatically invalidate. This is because signals for these types of operations are not in Django until 1.2. Until then, you’ll need to manually invalidate these queries like so:

    from cachebot.signals import invalidate_object
    
    user.friends.add(friend)
    invalidate_object(user)
    invalidate_object(friend)
  3. count() queries will not get cached.

  4. If you’re invalidating on a field that is in a range or exclude query, these queries will get invalidated when anything in the table changes. For example the following would get invalidated when anything on the User table changed:

    Photo.objects.cache('user').filter(user__in=users, status=2)
    
    Photo.objects.cache('user').exclude(user=user, status=2)
  5. You should probably use a tool like django-memcache-status to check on the status of your cache. If memcache overfills and starts dropping keys, it’s possible that your queries might not get invalidated.

  6. .values_list() doesn’t cache yet. You should do something like this instead:

    [photo['id'] for photo in Photo.objects.cache('user').filter(user=user).values('id')]
  7. It’s possible that there are edge cases I’ve missed. django-cachebot is still in it’s infancy, so you should still double check that your queries are getting cached and invalidated. Please let me know if you notice any weird discrepancies.

Dependencies

  • Django 1.2

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

django-cachebot-0.2.1.tar.gz (18.0 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page