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Why use redis as cache

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Release: 2019-11-21 15:05:39
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Redis is a non-relational memory database that is widely used in Nosql databases. Redis is a key-value storage system internally.

Why use redis as cache

It supports relatively more stored value types, including string (string), list (linked list), set (collection), zset (sorted set – Sorted set) and hash (hash type, similar to map in Java). (Recommended learning: Redis Video Tutorial)

Redis is a NoSQL database that runs in memory and supports persistence. It is one of the most popular NoSQL databases and is also known as a data structure server. .

Redis has three main features that make it superior to other key-value data storage systems

Redis keeps its database completely in memory and only uses disk for persistence .

Compared with other key-value data stores, Redis has a relatively rich set of data types.

Redis can copy data to any number of slave machines.

Some advantages of Redis:

Exceptionally fast - Redis is very fast and can perform approximately 110,000 set (SET) operations per second and approximately 81,000 per second Read/get (GET) operations.

Support rich data types - Redis supports most data types commonly used by developers, such as lists, sets, sorted sets, hashes, and more.

This makes Redis easy to be used to solve various problems, because we know which problems can be better solved using which data types.

Operations are atomic - all Redis operations are atomic, which ensures that the Redis server can receive updated values ​​if two clients access it concurrently.

Multi-utility tool - Redis is a multi-utility tool that can be used for multiple use cases such as: caching, message queues (Redis natively supports publish/subscribe), any short-term data in the application

Use redis cache because using redis as a cache can reduce the pressure on the database, especially when large amounts of data need to be queried frequently. Using redis can also improve access speed because redis data will be stored in memory.

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