Application of Mysql variables, cursors and stored procedures
Mysql has supported stored procedures since 5.0. In layman's terms, a stored procedure is an encapsulated SQL, but it is not just SQL, it usually also has variables, conditional judgments, loop bodies, cursors, etc.
The role of stored procedures
In many scenarios, data from multiple tables needs to be processed to generate new data we need. . The data of these multiple tables cannot be given through query methods such as connections, and can only be generated through judgment and looping. At this time, you can use stored procedures to achieve this.
In addition, stored procedures also have some benefits, such as higher performance and reduced network requests. If you don't use stored procedures to implement it, you need to call MySQL multiple times and generate multiple requests if you use PHP to implement it.
Of course, the stored procedure is not without its shortcomings. It is relatively debugged and does not support clustering.
Create a stored procedure
The syntax for creating a stored procedure is as follows:
1 2 3 4 |
|
Regarding parameters, the syntax for setting parameters is
[IN|OUT|INOUT] Parameter name type
IN indicates that the variable can only be used within the procedure body
OUT indicates that the variable Variables can only be used outside the process
INOUT means they can be used inside and outside the process
Next, let’s create the simplest stored procedures.
1 2 3 4 |
|
Variables
Variables in MySQL are divided into global variables and local variables.
Global variables start with @ and do not need to be declared. They can be used directly. For example,
1 |
|
local variables need to be declared first. The initialization method of local variables is as follows:
1 |
|
Let’s follow To complete a stored process: calculate the fare according to the distance, the distance within 3 kilometers is calculated as 6 yuan, and the distance beyond is calculated as 1.2 yuan per kilometer.
1 2 3 4 5 6 7 8 9 10 11 |
|
Cursor
Compared with PHP, the cursor is a bit like foreach, which obtains one record each time it loops.
Define a cursor:
1 |
|
Open and close the cursor:
open cursor name
close cursor Name
Get cursor data:
1 |
|
It can be introduced in such a simple way, but everyone will have doubts and don’t know how to use it. Next, let's look at an example and learn how to use cursors from the example.
Use a cursor to complete a very simple function, which is to accumulate all the numbers in the test_cursor table.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
|
There are a few points to note here. First, the definition of local variables must be declared before declaring the cursor.
In addition, here DECLARE CONTINUE HANDLER FOR SQLSTATE '02000' SET done=1; means that done is set to 1 after the cursor ends to end the loop.
The above is the detailed content of Application of Mysql variables, cursors and stored procedures. For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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



You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings

Apache connects to a database requires the following steps: Install the database driver. Configure the web.xml file to create a connection pool. Create a JDBC data source and specify the connection settings. Use the JDBC API to access the database from Java code, including getting connections, creating statements, binding parameters, executing queries or updates, and processing results.

The methods for viewing SQL database errors are: 1. View error messages directly; 2. Use SHOW ERRORS and SHOW WARNINGS commands; 3. Access the error log; 4. Use error codes to find the cause of the error; 5. Check the database connection and query syntax; 6. Use debugging tools.
