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This article mainly introduces where the data cache of redis is. It is very detailed and has certain reference value. Friends who are interested must finish reading it.

First, where is the data cache of redis?

First of all, we should understand that redis is a database, redis is an in-memory database, all the data is basically stored in memory and will be regularly refreshed to the hard disk by append or snapshot. Because redis is an in-memory database, the speed of reading and writing is very fast, so it is often used to cache data, pages, etc.

Redis common data types

The most commonly used data types in Redis are as follows:

StringHashListSetSorted setpub/subTransactions

Practical application scenario of Redis

Redis differs from other database solutions in many ways: it uses memory to provide primary storage support, while only the hard disk is used for persistent storage; its data model is very unique, using a single thread. Another big difference is that you can use the functions of Redis in your development environment, but you don't need to switch to Redis.

Of course, it is desirable to switch to Redis, and many developers have made Redis the database of choice from the beginning, but imagine that if your development environment is already set up and applications are already running on it, it is obviously not so easy to change the database framework. In addition, in some applications that require large data sets, Redis is not suitable because its data sets will not exceed the memory available to the system. So if you have a big data app and mainly read access mode, then Redis is not the right choice.

What I like about Redis, however, is that you can integrate it into your system, which can solve a lot of problems, such as tasks that are slow to process in your existing database. You can optimize these through Redis, or create new features for the application. In this article, I want to explore how to add Redis to the existing environment and use its primitive commands and other functions to solve some common problems encountered in the traditional environment. In none of these examples, Redis is the preferred database.

The above is where the redis data cache all the content, thank you for reading! Hope to share the content to help you, more related knowledge, welcome to follow the industry information channel!

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