django-redis
Memcached
django-redis | Memcached | |
---|---|---|
6 | 56 | |
2,800 | 13,208 | |
0.7% | 0.7% | |
8.6 | 8.4 | |
11 days ago | 1 day ago | |
Python | C | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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django-redis
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Everything You Need to Know About Caching in Django
Redis is an open-source data-structure store that can be used as a database, cache, message broker, etc. To start using Redis in your Django application, you need to first install the django-redis library. The library makes it easier to connect your Django application to Redis.
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Caching Django Applications using Redis
To implement caching in Django application. First, set up your Django project and application. Then install django-redis, a project by Jazzband:
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Konohagakure Search
django-redis
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Django 4.0 will include a built-in Redis cache back end
This isn't such a big deal... There are great third-party packages (i.e https://github.com/jazzband/django-redis) for whoever needs a redis cache backend in a project.
Myself, I just use good ol' memcached for all my caching needs (https://docs.djangoproject.com/en/3.2/topics/cache/#memcache...). It is rock solid and has never failed me till now!
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Multiple Post Requests, data loss
If your example of the counter is accurate for what you want to do, it might be faster using django-redis as your cache backend and using the incr method (which adds one to a given cache key). Repeatedly inserting and deleting database records is much slower than cache operations like that would be. Or is there a way you can avoid deleting database records, and modify existing values?
- Where to load file with a list that will be accessed by almost view and page refresh?
Memcached
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System Design: Databases and DBMS
Memcached
- Redis Re-Implemented with SQLite
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Best engineering interview question I've gotten
> Multiple clients racing can't be fixed.
Really? You can't think of a single way for multiple clients to operate on the same data without racing? (Here's a hint if you're still having trouble: https://github.com/memcached/memcached/wiki/Commands#cas.)
- Memcached 1.6.25 Release Notes
- Memcached 1.6.24 Release Notes
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How to choose the right type of database
Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs.
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Sieve is simpler than LRU
Oh, thank you! I didn't realize that LRU Maintainer Thread was more than an expiration reaper. When it was first being introduced that was its first responsibility as lazy expiration removal by size eviction meant dead entries wasted capacity. It was all work in progress when I had read about it [1] and talked to dormando, so it got fuzzy. The compat code [2, 3] might have also thrown me off if I only looked at the setting and not the usage. Its a neat variant to all of these ideas.
[1] https://github.com/memcached/memcached/pull/97
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A Developer's Journal: Simplifying the Twelve-Factor App
stores session state in a session store like Memcached or Redis.
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In-memory database Redis wants to dabble in disk
memcached has recently gained the ability to spill to disk: https://github.com/memcached/memcached/wiki/Extstore
we recently implemented this to grow our caches to >50TB
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Django Caching 101: Understanding the Basics and Beyond
Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers.
What are some alternatives?
redis-py - Redis Python client
Varnish - The project homepage
django-cacheops - A slick ORM cache with automatic granular event-driven invalidation.
node-cache - A simple in-memory cache for nodejs
Hiredis - Minimalistic C client for Redis >= 1.2
dragonfly - A modern replacement for Redis and Memcached
django-rest-framework - Web APIs for Django. 🎸
node-cache - a node internal (in-memory) caching module
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
KeyDB - A Multithreaded Fork of Redis
Django - The Web framework for perfectionists with deadlines.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.