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The following mainly brings you the specific methods to achieve MySQL optimization through the index. I hope that the specific methods to achieve MySQL optimization through the index can bring you practical use, which is also the main purpose of my editing this article. All right, don't talk too much nonsense, let's just read the following.

The index can optimize the MySQL. When the data in the data table is large, the problem can be solved by establishing an index. The index stores the data in the table in alphabetical order in a separate location to optimize database performance.

Database indexes in MySQL can help us optimize performance. There may be little difference for small data tables, but for tables with a large amount of data, indexes have obvious advantages in improving performance. Next, in the article, we will introduce in detail how to optimize the database through the index, which has a certain reference function. I hope it will be helpful to you.

Database index

A database index is a data structure that improves the speed of operations in a table. Each time an application runs a database query, the database looks at all the rows in the table to find the rows that match the request. However, as database tables grow, more and more rows need to be checked each time, which reduces the overall performance of the database and applications. But MySQL indexes can solve this problem by taking data from the columns in the table and storing it in an alphabetical order in a separate location called the index.

Example: suppose there is a data table named "demo" with only two rows of "number" and "employee". When we run a simple SQL query, MySQL examines all records and returns only those records whose value is set to 4.

SELECT * FROM sample WHERE number = 4

However, when there are thousands of data in our database, this query will become particularly slow. In this case, the index is needed. In the table, we can create an index through the "number" field. The index creates an internal register held by the MySQL service. This can be done using the following query

ALTER TABLE sample ADD INDEX (number)

For larger databases, load times can vary widely. Index databases can greatly reduce the load time of Web applications.

In addition, we can use another query to increase the loading speed of the database:

OPTIMIZE TABLE sample

For the above specific methods to achieve MySQL optimization through the index, we do not think it is very helpful. If you need to know more, please continue to follow our industry information. I'm sure you'll like it.

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