Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker. A Redis distributed cache refers to the setup where Redis is used across multiple nodes or servers for caching purposes. Here are the steps to set up and use Redis as a distributed cache.
sudo apt update sudo apt install redis-server
redis.conf
file. You need to set the maxmemory
option to the maximum amount of memory you want Redis to use and set maxmemory-policy
to a policy like allkeys-lru
, which will remove less recently used keys when the max memory is reached.# Open the configuration file with a text editor such as nano sudo nano /etc/redis/redis.conf # Find and update the following directives maxmemory 256mb maxmemory-policy allkeys-lru
redis-cli --cluster create 127.0.0.1:7000 127.0.0.1:7001 127.0.0.1:7002
redis-py-cluster
library:from rediscluster import RedisCluster startup_nodes = [{"host": "127.0.0.1", "port": "7000"}, {"host": "127.0.0.1", "port": "7001"}, {"host": "127.0.0.1", "port": "7002"}] rc = RedisCluster(startup_nodes=startup_nodes, decode_responses=True) rc.set("foo", "bar") print(rc.get("foo")) # Outputs: bar
Remember, this guide provides a basic setup. There are many more configurations and options available for more advanced uses and optimizations.
For more information about Redis and distributed caching, refer to the official Redis documentation.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.