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This article mainly introduces mysql optimization analysis, hoping to give you some knowledge to supplement and update, if there are other issues to understand, you can continue to pay attention to my updated articles in the industry information.

MySQL optimization, mainly including:

1. Rationalization of table design (three normal forms);

2. Add appropriate indexes (four types: ordinary, unique, primary key, full-text);

3, sub-table technology (horizontal sub-table, vertical sub-table);

4. Separation of reading and writing;

5. Storage process (generally not used, poor portability);

6. Optimize mysql configuration (maximum concurrency, cache, etc.);

7. Hardware upgrade;

8. Regularly clear unnecessary data.

digression:

Why does indexing speed up database queries?

A: There are two main reasons: (1) No index query, the data will be loaded into memory one by one, and then determine whether the record meets the conditions; index query, the index will be loaded into memory, if it meets the requirements, the corresponding row ID will be obtained. (2)Indexes are sorted in a certain format, such as a binary tree, so there is no need for each query.

After reading the above analysis on mysql optimization, I hope to bring some help to everyone in practical application. Due to the limited space of this article, it is inevitable that there will be deficiencies and needs to be supplemented. If you need more professional answers, you can contact our 24-hour pre-sales service on the official website to help you answer your questions at any time.

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