MySQL rownumber SQL生成自增长序号
本文章简单的介绍了MySQL rownumber SQL生成自增长序号详细测试方法
MySQL 几乎模拟了 Oracle,SQL Server等商业的大部分功能,函数。但很可惜,到目前的版本(5.1.33)为止,仍没有实现ROWNUM这个功能。
下面介绍几种具体的实现方法.
建立实验环境如下
代码如下 | 复制代码 |
> create table tbl ( mysql> insert into tbl values mysql> |
1. 直接在程序中实现;
这应该算是效率最高的一种,也极为方便。直接在你的开发程序中(PHP/ASP/C/...)等中,直接初始化一个变量nRowNum=0,然后在while 记录集时,nRowNum++; 然后输出即可。
2. 使用MySQL变量;在某些情况下,无法通过修改程序来实现时,可以考虑这种方法。
缺点,@x 变量是 connection 级的,再次查询的时候需要初始化。一般来说PHP等B/S应用没有这个问题。但C/S如果connection一只保持则要考虑 set @x=0
代码如下 | 复制代码 |
mysql> select @x:=ifnull(@x,0)+1 as rownum,id,col
|
3. 使用联接查询(笛卡尔积)
缺点,显然效率会差一些。
利用表的自联接,代码如下,你可以直接试一下 select a.*,b.* from tbl a,tbl b where a.col>=b.col 以理解这个方法原理。
代码如下 | 复制代码 |
mysql> select a.id,a.col,count(*) as rownum
|
4. 子查询
缺点,和联接查询一样,具体的效率要看索引的配置和MySQL的优化结果。
代码如下 | 复制代码 |
mysql> select a.*, |

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.

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.

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.

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.
