Redis is a key-value storage system. Similar to memcached, it supports storing more value types, including string (string), list (linked list), set (set), Zset (sorted set-ordered collection), and HASHS (hash type). These data types support Push/pop, Add/remove, and intersection-set and difference sets, and richer operations, and these operations are atomic. Based on this, Redis supports sorting in a variety of different ways. As with memcached, data is cached in memory to ensure efficiency. The difference is that Redis periodically writes the updated data to disk or writes the modified operation to the appended record file, and Master-slave (Master-Slave) synchronization is implemented on this basis.
Redis is a high-performance Key-value database. The emergence of Redis, to a large extent, compensates for the lack of memcached such key/value storage, in some cases can be a good complement to the relational database. It provides the python,ruby,erlang,php client, which is very convenient to use.
Learning Notes Directory
Here are my Learning notes about Redis NoSQL, and I've collated them for your reference.
Redis Learning Note ~redis installation in a Windows environment
Redis Learning note ~redis application in. Net
Five data structures provided by Redis Learning Note ~redis
Redis Learning Notes ~ Test of five Big data results
Redis Learning Notes ~ Enabling Message Queuing to be more convenient than MSMQ
Redis Learning Note-placing Redis on the data layer as a data source, I think more reasonable and more consistent with my object-oriented principle
Redis Learning Notes ~ It's time to implement a warehousing for Redis, redisrepository.
Redis Learning note ~redis implements multiple cache servers, read/write separation
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Redis Learning Notes ~ Directory