Aggrid Php Example Updated (720p)

A solid resource for integrating AG Grid with PHP is the Server-Side Row Model (SSRM) guide from the AG Grid blog. While many official examples use Node.js, this specific walkthrough covers the Laravel (PHP) and MySQL stack, which is highly applicable to modern PHP environments. Key Components of a PHP Implementation

To set up a production-ready AG Grid with a PHP backend, you typically need:

Grid Configuration: Set rowModelType: 'serverSide' in your JavaScript options.

Datasource: A getRows function in JS that POSTs the grid's request object to your PHP endpoint. aggrid php example updated

PHP Controller: Logic to parse the startRow, endRow, sortModel, and filterModel from the incoming JSON.

SQL Generation: Dynamically building LIMIT, OFFSET, ORDER BY, and WHERE clauses based on that grid request. Updated Resources & Libraries

AG Grid Laravel Adapter: For those using Laravel, the ag-grid-laravel package provides a pre-built adapter to handle the heavy lifting of server-side requests. A solid resource for integrating AG Grid with

Latest Versions: As of April 2026, ensure you are referencing documentation for AG Grid v35.2.1 to utilize the latest Theming API and performance enhancements.

Full-Stack Reference: While not exclusively PHP, the AG Grid Github Examples repository contains the code for the Laravel/MySQL integration mentioned above.

💡 Pro Tip: Use a prepared statement or an ORM (like Eloquent) in your PHP backend when translating AG Grid's filterModel to SQL to prevent SQL injection vulnerabilities. CREATE TABLE users ( id INT AUTO_INCREMENT PRIMARY

If you tell me your specific PHP framework (e.g., Laravel, Symfony, or Vanilla PHP), I can provide a more tailored code snippet for your backend controller.

---

CREATE TABLE users (
    id INT AUTO_INCREMENT PRIMARY KEY,
    name VARCHAR(100) NOT NULL,
    email VARCHAR(100) NOT NULL UNIQUE,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

---

If you are maintaining older code, here is what has changed in this "Updated" approach:

Create a PHP script called "grid.php" and add the following code:

<?php
// Configuration
$dbHost = 'localhost';
$dbUsername = 'your_username';
$dbPassword = 'your_password';
$dbName = 'your_database';
// Connect to database
$conn = new mysqli($dbHost, $dbUsername, $dbPassword, $dbName);
// Check connection
if ($conn->connect_error) 
    die("Connection failed: " . $conn->connect_error);
// Fetch data from database
$sql = "SELECT * FROM employees";
$result = $conn->query($sql);
// Close database connection
$conn->close();
// Convert data to JSON
$data = array();
while($row = $result->fetch_assoc()) 
    $data[] = $row;
// Output JSON data
header('Content-Type: application/json');
echo json_encode($data);

This script connects to a MySQL database, fetches data from the "employees" table, and outputs the data in JSON format.

Let’s define a simple dataset to manipulate. Run this SQL in your database:

CREATE TABLE employees (
    id INT AUTO_INCREMENT PRIMARY KEY,
    employee_name VARCHAR(100),
    job_title VARCHAR(100),
    department VARCHAR(50),
    salary INT
);
INSERT INTO employees (employee_name, job_title, department, salary) VALUES
('Alice Johnson', 'Software Engineer', 'Engineering', 95000),
('Bob Smith', 'Project Manager', 'Operations', 85000),
('Charlie Davis', 'UX Designer', 'Product', 78000),
('Diana Evans', 'Data Analyst', 'Marketing', 72000);

---