MySQL中OFFSET和FETCH的详解
OFFSET & FECTH 关键字与ORDER BY结合使用,实现对查询结果的分页
一、单独使用OFFSET:
示例:查询所有职员的信息,按雇佣日期排序并跳过前285条记录(共290条)
1 USE AdventureWorks2014 2 SELECT [BusinessEntityID],[HireDate],[JobTitle] 3 FROM [HumanResources].[Employee] 4 ORDER BY [BusinessEntityID] 5 OFFSET 285 ROWS
查询结果:
BusinessEntityID HireDate JobTitle 1 286 2013-05-30 Sales Representative 2 287 2012-04-16 European Sales Manager 3 288 2013-05-30 Sales Representative 4 289 2012-05-30 Sales Representative 5 290 2012-05-30 Sales Representative
二、OFFSET和FECTH结合使用:
示例:查询所有职员的信息,按雇佣日期排序并跳过前10条记录再显示之后的5条记录
1 USE AdventureWorks2014 2 SELECT [BusinessEntityID],[HireDate],[JobTitle] 3 FROM [HumanResources].[Employee] 4 ORDER BY [BusinessEntityID] 5 OFFSET 10 ROWS 6 FETCH NEXT 5 ROWS ONLY
查询结果:
BusinessEntityID HireDate JobTitle 1 11 2010-12-05 Senior Tool Designer 2 12 2007-12-11 Tool Designer 3 13 2010-12-23 Tool Designer 4 14 2010-12-30 Senior Design Engineer 5 15 2011-01-18 Design Engineer
以上就是MySQL中OFFSET和FETCH的详解的内容,更多相关内容请关注PHP中文网(www.php.cn)!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.

Backing up and restoring a MySQL database in PHP can be achieved by following these steps: Back up the database: Use the mysqldump command to dump the database into a SQL file. Restore database: Use the mysql command to restore the database from SQL files.

MySQL query performance can be optimized by building indexes that reduce lookup time from linear complexity to logarithmic complexity. Use PreparedStatements to prevent SQL injection and improve query performance. Limit query results and reduce the amount of data processed by the server. Optimize join queries, including using appropriate join types, creating indexes, and considering using subqueries. Analyze queries to identify bottlenecks; use caching to reduce database load; optimize PHP code to minimize overhead.

How to insert data into MySQL table? Connect to the database: Use mysqli to establish a connection to the database. Prepare the SQL query: Write an INSERT statement to specify the columns and values to be inserted. Execute query: Use the query() method to execute the insertion query. If successful, a confirmation message will be output.

To use MySQL stored procedures in PHP: Use PDO or the MySQLi extension to connect to a MySQL database. Prepare the statement to call the stored procedure. Execute the stored procedure. Process the result set (if the stored procedure returns results). Close the database connection.

Creating a MySQL table using PHP requires the following steps: Connect to the database. Create the database if it does not exist. Select a database. Create table. Execute the query. Close the connection.

One of the major changes introduced in MySQL 8.4 (the latest LTS release as of 2024) is that the "MySQL Native Password" plugin is no longer enabled by default. Further, MySQL 9.0 removes this plugin completely. This change affects PHP and other app

Oracle database and MySQL are both databases based on the relational model, but Oracle is superior in terms of compatibility, scalability, data types and security; while MySQL focuses on speed and flexibility and is more suitable for small to medium-sized data sets. . ① Oracle provides a wide range of data types, ② provides advanced security features, ③ is suitable for enterprise-level applications; ① MySQL supports NoSQL data types, ② has fewer security measures, and ③ is suitable for small to medium-sized applications.
