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How to understand MySQL's paging and sorting technology?

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Release: 2023-09-08 13:33:11
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How to understand MySQLs paging and sorting technology?

How to understand MySQL’s paging and sorting technology?

Overview:
MySQL is a widely used relational database management system that provides a wealth of functions and technologies, including paging and sorting technology. Paging technology can be used to display part of a large amount of data, while sorting technology can sort data according to specific rules. In practical applications, we often need to use paging and sorting technology to improve data query efficiency and user experience.

Paging technology:
Paging technology refers to dividing a large amount of data into blocks of a certain size and displaying them on the page according to certain rules, thereby reducing the pressure of data transmission and display. In MySQL, using paging technology can be achieved through the LIMIT keyword.

The following is a sample code that shows how to use MySQL's LIMIT keyword for paging query:

SELECT * FROM table_name LIMIT offset, count;
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Among them, table_name is the name of the table to be queried, offset is the offset of the query, and count is the amount of data to be displayed on each page. For example, assuming we want to query a table named users and display 10 pieces of data on the second page, we can use the following statement:

SELECT * FROM users LIMIT 10, 10;
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This query statement will return 10 pieces of data starting from the 11th piece of data , that is, the data on the second page.

Sorting technology:
Sorting technology refers to sorting data according to specific rules so that the data is displayed in the order we expect. In MySQL, the use of sorting technology can be achieved through the ORDER BY keyword.

The following is a sample code that shows how to use MySQL's ORDER BY keyword to sort in ascending or descending order:

SELECT * FROM table_name ORDER BY column_name ASC|DESC;
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Where table_name is the table name to be queried, column_name is the column to be sorted Name, ASC means sorting in ascending order, DESC means sorting in descending order. For example, if we want to query a table named users and sort them by age from small to large, we can use the following statement:

SELECT * FROM users ORDER BY age ASC;
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This query statement will return all data sorted by age from small to large.

Combined application of paging and sorting:
In practical applications, we usually need to use paging and sorting technology at the same time to obtain a specified range of data sorted according to specific rules. In MySQL, paging and sorting techniques can be combined.

The following is a sample code that shows how to use MySQL's LIMIT and ORDER BY keywords for paging and sorting queries:

SELECT * FROM table_name ORDER BY column_name ASC|DESC LIMIT offset, count;
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Among them, table_name is the name of the table to be queried, and column_name is the name to be sorted The column name, ASC means sorting in ascending order, DESC means sorting in descending order, offset is the offset of the query, and count is the amount of data to be displayed on each page. For example, if we want to query a table named users and sort them by age from smallest to largest, and display 10 pieces of data on the second page, we can use the following statement:

SELECT * FROM users ORDER BY age ASC LIMIT 10, 10;
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This query statement will return the data sorted by age from smallest to largest. The 10 pieces of data on the second page of the large sort.

Summary:
MySQL’s paging and sorting technology are important means to achieve efficient data query and display. Paging technology can be implemented through the LIMIT keyword to display part of a large amount of data; sorting technology can be implemented through the ORDER BY keyword to sort data according to specific rules in the query results. In practical applications, we usually need to use both paging and sorting techniques to obtain a specified range of data sorted according to specific rules. Through reasonable use of paging and sorting technology, data query efficiency and user experience can be improved.

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