redis is a key-value
storage system
. Similar to Memcached, it supports relatively more value types to be stored, including string (string), list (
linked list
), set (collection), zset (sorted set -- ordered collection) and hash (hash type). These
data
types all support push/pop, add/remove, intersection union and difference and richer operations, and these operations are atomic. On this basis, redis supports sorting in various ways. Like memcached, data is cached in memory to ensure efficiency. The difference is that redis will periodically write updated data to disk or write modification operations to additional record files, and on this basis achieve master-slave (master-slave) synchronization.
Redis is a high-performance key-value database. The emergence of redis has largely compensated for the insufficiency of key/value storage such as
memcached
, and can be a good complement to relational databases in some occasions. It provides Java, C/C++, C#, PHP, JavaScript, Perl, Object-C, Python, Ruby, Erlang and other clients, which are very convenient to use.
[1]
Redis supports master-slave synchronization. Data can be synchronized from a master server to any number of slave servers, which can be master servers associated with other slave servers. This enables Redis to perform single-level tree replication. Data can be written to disk intentionally or unintentionally. Since the publish/subscribe mechanism is fully implemented, it is possible to subscribe to a channel and receive a complete message publication record from the master server when synchronizing the tree anywhere from the database. Synchronization is helpful for scalability and data redundancy for read operations.
The official website address of redis, which is very easy to remember, is redis.io. (I checked it out, the domain name suffix io belongs to the national domain name, which is british Indian Ocean territory, that is, the British Indian Ocean territory)
Currently, Vmware is funding the development and maintenance of the redis project.