As of memcache 1.4.2, this is a user-configurable parameter: ReleaseNotes142 * memcached @ Github Configurable maximum item size Many people have asked for memcached to be able to store items larger than 1MB, while it’s generally recommended that one not do this, it is now supported on the commandline. A few enlightened folk have also … Read more
First I used mikewied’s solution, but then I bumped into the problem of auto starting the daemon. Another confusing thing in that solution is that it doesn’t use the config from etc. I was about to create my own start up scripts in /etc/init.d but then I looked into /etc/init.d/memcached file and saw this beautiful … Read more
arr = […buffer] ES6 introduced a lot of other features, besides buffers. You can even easily append like this: arr.push(…buffer) The … operator expands enumerables such as arrays and buffers when used in array. It also expands them into separate function arguments. Yes, it’s also faster: … : x100000: 835.850ms Slice call from prototype : … Read more
We tested both and found Enyim to perform the best for our expected usage scenario: many (but not millions) cached objects, and millions of cache-get requests (average web site concurrency load = 16-20 requests.) Our performance factor was measuring the time from making the request to having the object initialized in memory on the calling … Read more
Ok, so, in order to use caching for your queryset: class ProductListAPIView(generics.ListAPIView): def get_queryset(self): return get_myobj() serializer_class = ProductSerializer You’d probably want to set a timeout on the cache set though (like 60 seconds): cache.set(cache_key, result, 60) If you want to cache the whole view: from django.utils.decorators import method_decorator from django.views.decorators.cache import cache_page class ProductListAPIView(generics.ListAPIView): … Read more
For RedisCache you can get all available keys with. from django.core.cache import cache cache.keys(‘*’)
sudo apt-get install libmemcached-dev zlib1g-dev