


PHP records IP to prevent repeated form submission method analysis, ip form_PHP tutorial
php records IP to prevent repeated form submission method analysis, ip form
This article analyzes the example of how PHP prevents repeated submission of forms by recording IP. Share it with everyone for your reference. The specific analysis is as follows:
This principle is relatively simple. When the user submits for the first time, we record the IP address of the submitting user. In this way, if the user submits the form again within a fixed period of time, he will be prompted to submit again. This approach is usually used for upvoting. Please support this kind of application. It is a very bad choice to prevent repeated submission of data.
Example, the code is as follows:
if(empty($_SESSION['ip']))//The first write operation, determine whether the IP address is recorded, so as to know whether to write to the database
{
$_SESSION['ip']=$_SERVER['REMOTE_ADDR'];//The first write will pave the way for subsequent refresh or retreat judgments
mysql_query("INSERT INTO admin(id, name, age) VALUES(123, 'Yao Ming', 25)");//Write to database operation
}
else//There has been an operation after the first write, so it will no longer be written to the database
{
echo 'Please do not submit the form repeatedly or refresh the page';//Write some prompts or other things that have already been written
}
?>
Another way is:
1: Generate a random code on the page, that is, the random code will be different every time you submit it. Verify the random code when submitting!
2: When submitting, verify that if the data exists, it will not be submitted.
If you want to prevent repeated submission of IP addresses, it is not the best way. We can check whether there are the same records in the database and whether the IPs are the same before processing.
Example, the code is as follows:
$query = $db->query( $sql );
if( $db->rows( $query ) )
{
echo('<script>alert("You have already submitted, please do not submit again!");</script>');
}
else
{
//Carry out warehousing operation
}
I hope this article will be helpful to everyone’s PHP programming design.

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











PHP is a scripting language widely used on the server side, especially suitable for web development. 1.PHP can embed HTML, process HTTP requests and responses, and supports a variety of databases. 2.PHP is used to generate dynamic web content, process form data, access databases, etc., with strong community support and open source resources. 3. PHP is an interpreted language, and the execution process includes lexical analysis, grammatical analysis, compilation and execution. 4.PHP can be combined with MySQL for advanced applications such as user registration systems. 5. When debugging PHP, you can use functions such as error_reporting() and var_dump(). 6. Optimize PHP code to use caching mechanisms, optimize database queries and use built-in functions. 7

PHP and Python each have their own advantages, and the choice should be based on project requirements. 1.PHP is suitable for web development, with simple syntax and high execution efficiency. 2. Python is suitable for data science and machine learning, with concise syntax and rich libraries.

PHP and Python each have their own advantages, and choose according to project requirements. 1.PHP is suitable for web development, especially for rapid development and maintenance of websites. 2. Python is suitable for data science, machine learning and artificial intelligence, with concise syntax and suitable for beginners.

PHP is widely used in e-commerce, content management systems and API development. 1) E-commerce: used for shopping cart function and payment processing. 2) Content management system: used for dynamic content generation and user management. 3) API development: used for RESTful API development and API security. Through performance optimization and best practices, the efficiency and maintainability of PHP applications are improved.

PHP is still dynamic and still occupies an important position in the field of modern programming. 1) PHP's simplicity and powerful community support make it widely used in web development; 2) Its flexibility and stability make it outstanding in handling web forms, database operations and file processing; 3) PHP is constantly evolving and optimizing, suitable for beginners and experienced developers.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.
