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What functions can redis achieve? Many novices are not very clear about this. In order to help you solve this problem, the following editor will explain it in detail. People with this need can come and learn. I hope you can gain something.

Redis is a high-performance key-value database, it is completely open source and free, and redis is a NOSQL type database, which is a database solution to solve a series of problems such as high concurrency, high scalability, big data storage and so on.

Features:

Caching is the most common application scenario for Redis, and all of it is used this way, mainly because of the excellent read and write performance of Redis. And gradually replace memcached as the preferred server-side caching component. Moreover, Redis supports transactions internally, which can effectively ensure the consistency of data when in use.

Ranking, using traditional relational databases (mysql oracle, etc.) to do this is very troublesome, and the use of Redis's SortSet (ordered set) data structure can be easily done.

Calculator / speed limiter, using the atomic self-increasing operation in Redis, we can count the number of likes and visits of users. If this kind of operation is done with MySQL, frequent reading and writing will bring considerable pressure. The typical use scenario of speed limiter is to limit the frequency of a user's access to a certain API, which is commonly used when snapping up to prevent users from clicking crazily to bring unnecessary pressure.

Friend relationship, using some commands of the set, such as finding intersection, union, difference set and so on. It can easily handle some functions such as common friends, common hobbies and so on.

For simple message queuing, in addition to Redis's own publish / subscribe model, we can also use List to implement a queuing mechanism, such as arrival notification, mail delivery and other requirements, which do not need to be highly reliable, but will bring great DB pressure. List can be used to complete asynchronous decoupling.

Session sharing. Take PHP as an example. The default Session is saved in the server file. If it is a cluster service, the same user may fall on different machines, which will cause users to log in frequently. After using Redis to save Session, users can get the corresponding Session information no matter which machine they land on.

Some frequently accessed data, frequently accessed data, if placed in a relational database, each query will cost a lot of money, but in redis, because redis is stored in memory and can be accessed very efficiently.

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