Skip to content This allows your frontend to dynamically populate a set filter with options from your database, ensuring the user experience is both accurate and fast.
This updated guide demonstrates how to connect AG Grid to a PHP backend using modern best practices, Native PHP Object Notation (JSON), and PDO for secure database interactions. 1. Project Architecture Overview
This gives you a robust, secure, and scalable foundation for integrating AG Grid with a modern PHP backend. You can now handle millions of rows with real-time filtering, sorting, and pagination—without bogging down the client’s browser.
If you have any questions about implementing this example, I'm happy to help. Share public link
This HTML file includes the AG Grid library and creates a simple grid with three columns. It then fetches data from the "grid.php" script and passes it to the AG Grid. aggrid php example updated
<?php // config/database.php function getConnection() $host = 'localhost'; $db = 'your_database'; $user = 'your_user'; $pass = 'your_password'; $charset = 'utf8mb4'; $dsn = "mysql:host=$host;dbname=$db;charset=$charset"; $options = [ PDO::ATTR_ERRMODE => PDO::ERRMODE_EXCEPTION, PDO::ATTR_DEFAULT_FETCH_MODE => PDO::FETCH_ASSOC, PDO::ATTR_EMULATE_PREPARES => false, ]; return new PDO($dsn, $user, $pass, $options);
By the end, you’ll have a fully functional, high-performance datagrid that sorts, filters, and paginates directly through SQL queries triggered by your PHP backend.
AG Grid evolves quickly. The old ways of dumping 10,000 rows to the client and letting the grid filter them no longer work for modern applications.
Implementing AG Grid with PHP and MySQL: A Modern, Updated Guide This allows your frontend to dynamically populate a
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>AG Grid PHP Example – Updated Server-Side</title> <script src="https://cdn.jsdelivr.net/npm/ag-grid-community@31.3.2/dist/ag-grid-community.min.js"></script> <style> html, body height: 100%; margin: 0; .ag-theme-alpine height: 90vh; width: 100%; </style> </head> <body> <div id="myGrid" class="ag-theme-alpine"></div> <script> // Define columns const columnDefs = [ field: "id", sortable: true, filter: "agNumberColumnFilter" , field: "product_name", headerName: "Product Name", sortable: true, filter: "agTextColumnFilter" , field: "category", sortable: true, filter: "agSetColumnFilter" , field: "price", sortable: true, filter: "agNumberColumnFilter" , field: "stock_quantity", headerName: "Stock", sortable: true , field: "last_updated", headerName: "Last Updated", sortable: true, filter: "agDateColumnFilter" ];
, sortable: true, filter: true, editable: true , field: , filter: true , field:
query("SELECT id, name, email, created_at FROM users"); $results = $stmt->fetchAll(PDO::FETCH_ASSOC); // Send JSON response echo json_encode($results); catch (PDOException $e) http_response_code(500); echo json_encode(['error' => $e->getMessage()]); ?> Use code with caution. Copied to clipboard 🚀 Key Optimization Strategies 🔹 Server-Side Row Model (SSRM)
For the full vanilla PHP example, you can reference the updated implementation on GitHub from , which has been a foundational reference for this pattern. While a bit dated, its core principles remain highly relevant. Project Architecture Overview This gives you a robust,
For developers who prefer a more "plug-and-play" PHP solution, alternatives like offer simplified rendering with fewer lines of code. PHP code for handling the POST request to save these grid updates to your database? How to get the data of selected rows in ag-Grid
This updated frontend sets up AG Grid using standard Javascript ESM/UMD styling via an enterprise-ready CDN link. It configures the grid to run in Infinite Scrolling mode to leverage backend server-side processing capabilities. Use code with caution. Best Practices Implemented in This Update
What specific (like dates or multi-select dropdowns) do you need to support?
in AG Grid:
$totalStmt->execute(); $totalRows = $totalStmt->fetch(PDO::FETCH_ASSOC)['total'];
AG Grid remains the industry standard for feature-rich, high-performance data grids in web applications. While it is a JavaScript-based library, pairing it with a robust backend like PHP allows developers to handle massive datasets (millions of rows) efficiently using server-side data loading, filtering, and sorting.
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