Redis搭建轻量级MySQL读取系统（redis 读mysql）

Adopting Redis to Establish a Lightweight MySQL Reading System

With the rapid development of information technology, data storage and processing has become a hotspot and challenge in computer science. For web applications, MySQL is one of the most frequently used relational databases. Compared with other storage engines, it has strong atomicity, transactional, and durability, making it more suitable for complex business applications such as financial management and e-commerce. However, in the face of the growing high concurrency of web applications, the traditional MySQL fls to cope with it. Under this scenario, adopting Redis to establish a lightweight MySQL reading system has become the best solution for many scenarios.

So what exactly is Redis? Redis is a key-value pr type, multi-model database. The internal structure of Redis combines the concepts of data structures, such as list representation of queues, block lists, hash tables and ordered sets. It mnly focuses on performance, with a nearly negligible replication delay, and a nearly linear increase in read performance. It uses a practical, consistent hashing technology, and its single-threaded architecture design makes its processing capacity unmatched by other engines.

At present, more and more enterprises are beginning to adopt the approach of using Redis to build lightweight reading systems for MySQL. From the structural diagram as shown below, Redis mnly provides read services to the entire system. It is responsible for caching data from MySQL and preserving the current status of data, in order to improve read performance. At the same time, in order to ensure data consistency, it is necessary to manually mntn the data in MySQL and Redis, which is generally done through the Observer model.


These days, we can get rid of some of the slower read queries directly by using Redis to build a lightweight reading system. Here is a piece of typical code implementation of the approach:

“`C#

// establish a connection to Redis

ConnectionMultiplexer redis = ConnectionMultiplexer.Connect(“127.0.0.1:6379”);

// get a pointer to a distributed Redis cache

IDatabase db = redis.GetDatabase();

// read from Redis

var queryValue = db.StringGet(“query-key”);

if(queryValue != null) {

// read from Redis successfully

} else {

// read from MySQL

queryValue = GetDataFromMysql(“query-key”);

// cached in Redis for future reading

db.StringSet(“query-key”, queryValue);

}

// do something with queryValue

To conclude, with the Redis-based lightweight MySQL reading system, it not only improves the read performance of the whole system, but also has the advantages of low cost, scalability, and high avlability. It is an ideal choice for large-scale applications.

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