Shulou(Shulou.com)06/01 Report--

Redis is a very fast non-relational database with not only strong performance, but also replication and a unique data model created to solve problems. As a key database, Redis supports 5 data types: strings, lists, collections, Hash hashes and ordered collections. A variety of problems can be naturally mapped to these data structures. Redis's data structure is dedicated to helping users solve problems, unlike other databases that require users to distort problems to adapt to the database. These data models and their corresponding operation commands are more similar to the corresponding types of strongly typed programming languages, so they are easy to understand and use.

Comparison between Redis and other softwares

When querying data in a relational database, it is sometimes necessary to perform multi-table operations to complete the data query, but the concept of table does not exist in Redis, and its database does not predefine or force users to associate different data stored in Redis. When it comes to Redis, we have to talk about another high-performance key caching server, Memcached, which is often used to compare with each other. But Redis can synchronize the data cached in memory to disk. In addition to supporting more operations on strings, Redis also supports the other four types, which can solve more problems through more data structures. In practical applications, it can be used not only as a master database but also as a secondary database for other storage systems.

Compare the difference between the two:

Reasons for using Redis

A common use of a database is to store long-term reported data and store it in different tables. Inserting the data is performed quickly, simply by appending a row to the end of the data row. However, update operations are relatively slow, because updates involve not only read operations but also write operations, and when the amount of data is large, update operations are slower, resulting in performance bottlenecks. While Redis stores the data in memory, the request sent to Redis does not need to be processed by query analyzer and query optimizer, so the speed of writing to the data stored in Redis is very fast. Using Redis instead of other relational databases or other hard disk storage databases can avoid writing unnecessary temporary data, save the trouble of scanning and deleting temporary data, and ultimately improve the performance of the program.

Installation and use of Redis

Run after a successful download: src/redis-server opens the server, and the result is as shown in the figure:

Reopen the window and run src/redis-cli to open the client. The result is as shown in the figure:

In the subsequent process of practicing commands, using the client is a good choice. You can practice the commands while viewing the results of the commands. In subsequent updates, you will often use the client to interact, unless you need to use Python to interact.

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