Using stored procedures with php and mysql_PHP tutorial
How PHP calls mysql stored procedures, the following ten small cases serve as inspiration:
Example 1: Stored procedure without parameters
$conn = mysql_connect('localhost','root','root') or die ("connect db fail!"); mysql_select_db('test',$conn); $sql = " create procedure myproce() begin INSERT INTO user (id, username, sex) VALUES (NULL, 's', '0'); end; "; mysql_query($sql);//创建一个myproce的存储过程 $sql = "call test.myproce();"; mysql_query($sql);//调用myproce的存储过程,则数据库中将增加一条新记录。
Example 2: Stored procedure passing in parameters
$sql = " create procedure myproce2(in score int) begin if score >= 60 then select 'pass'; else select 'no'; end if; end; "; mysql_query($sql);//创建一个myproce2的存储过程 $sql = "call test.myproce2(70);"; mysql_query($sql);//调用myproce2的存储过程,看不到效果,可以在cmd下看到结果。
Example 3: Stored procedure of outgoing parameters
$sql = " create procedure myproce3(out score int) begin set score=100; end; "; mysql_query($sql);//创建一个myproce3的存储过程 $sql = "call test.myproce3(@score);"; mysql_query($sql);//调用myproce3的存储过程 $result = mysql_query('select @score;'); $array = mysql_fetch_array($result); echo '<pre class="brush:php;toolbar:false">';print_r($array);
Example 4: inout stored procedure of outgoing parameters
$sql = " create procedure myproce4(inout sexflag int) begin SELECT * FROM user WHERE sex = sexflag; end; "; mysql_query($sql);//创建一个myproce4的存储过程 $sql = "set @sexflag = 1"; mysql_query($sql);//设置性别参数为1 $sql = "call test.myproce4(@sexflag);"; mysql_query($sql);//调用myproce4的存储过程,在cmd下面看效果
Example 5: Stored procedure using variables
$sql = " create procedure myproce5(in a int,in b int) begin declare s int default 0; set s=a+b; select s; end; "; mysql_query($sql);//创建一个myproce5的存储过程 $sql = "call test.myproce5(4,6);"; mysql_query($sql);//调用myproce5的存储过程,在cmd下面看效果
Example 6: case syntax
$sql = " create procedure myproce6(in score int) begin case score when 60 then select '及格'; when 80 then select '及良好'; when 100 then select '优秀'; else select '未知分数'; end case; end; "; mysql_query($sql);//创建一个myproce6的存储过程 $sql = "call test.myproce6(100);"; mysql_query($sql);//调用myproce6的存储过程,在cmd下面看效果
Example 7: Loop statement
$sql = " create procedure myproce7() begin declare i int default 0; declare j int default 0; while i<10 do set j=j+i; set i=i+1; end while; select j; end; "; mysql_query($sql);//创建一个myproce7的存储过程 $sql = "call test.myproce7();"; mysql_query($sql);//调用myproce7的存储过程,在cmd下面看效果
Example 8: repeat statement
$sql = " create procedure myproce8() begin declare i int default 0; declare j int default 0; repeat set j=j+i; set i=i+1; until j>=10 end repeat; select j; end; "; mysql_query($sql);//创建一个myproce8的存储过程 $sql = "call test.myproce8();"; mysql_query($sql);//调用myproce8的存储过程,在cmd下面看效果
Example 9: loop statement
$sql = " create procedure myproce9() begin declare i int default 0; declare s int default 0; loop_label:loop set s=s+i; set i=i+1; if i>=5 then leave loop_label; end if; end loop; select s; end; "; mysql_query($sql);//创建一个myproce9的存储过程 $sql = "call test.myproce9();"; mysql_query($sql);//调用myproce9的存储过程,在cmd下面看效果
Example 10: Delete stored procedure
mysql_query("drop procedure if exists myproce");//删除test的存储过程
Articles you may be interested in
- mysql creates a stored procedure and calls it in php
- Use the PHP function memory_get_usage to get the current PHP memory consumption to implement the program Performance Optimization
- Several solutions to UFT-8 Chinese encoding garbled characters in PHP and MySQL
- How PHP determines whether a string is all in English, pure Chinese, or a combination of Chinese and English
- Mysql database cache function analysis, debugging and performance summary
- Interconversion of dates and unix timestamps in php and mysql
- mysql query today, yesterday, last 7 days, last 30 days, Methods for this month and previous month’s data
- Methods for PHP asynchronous debugging and online debugging of website programs

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



The main reasons why you cannot log in to MySQL as root are permission problems, configuration file errors, password inconsistent, socket file problems, or firewall interception. The solution includes: check whether the bind-address parameter in the configuration file is configured correctly. Check whether the root user permissions have been modified or deleted and reset. Verify that the password is accurate, including case and special characters. Check socket file permission settings and paths. Check that the firewall blocks connections to the MySQL server.

When MySQL modifys table structure, metadata locks are usually used, which may cause the table to be locked. To reduce the impact of locks, the following measures can be taken: 1. Keep tables available with online DDL; 2. Perform complex modifications in batches; 3. Operate during small or off-peak periods; 4. Use PT-OSC tools to achieve finer control.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

1. Use the correct index to speed up data retrieval by reducing the amount of data scanned select*frommployeeswherelast_name='smith'; if you look up a column of a table multiple times, create an index for that column. If you or your app needs data from multiple columns according to the criteria, create a composite index 2. Avoid select * only those required columns, if you select all unwanted columns, this will only consume more server memory and cause the server to slow down at high load or frequency times For example, your table contains columns such as created_at and updated_at and timestamps, and then avoid selecting * because they do not require inefficient query se

MySQL cannot run directly on Android, but it can be implemented indirectly by using the following methods: using the lightweight database SQLite, which is built on the Android system, does not require a separate server, and has a small resource usage, which is very suitable for mobile device applications. Remotely connect to the MySQL server and connect to the MySQL database on the remote server through the network for data reading and writing, but there are disadvantages such as strong network dependencies, security issues and server costs.

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.
