: MySQL/MariaDB utilizing PDO (PHP Data Objects) and prepared statements to eliminate SQL injection risks.
AG Grid PHP Example Updated: Building Dynamic Data Tables in 2026
Used json_decode(file_get_contents('php://input')) for robust asynchronous request handling.
<?php // Include the AG Grid library require_once 'ag-grid-community.js'; aggrid php example updated
setInterval(() => gridOptions.api.refreshServerSideStore( purge: true ); , 30000); // refresh every 30 seconds
AG Grid remains the industry standard for high-performance, feature-rich data grids in web applications. When combined with a PHP backend, you can create powerful, dynamic interfaces capable of handling thousands or even millions of rows with ease.
echo json_encode([ 'rows' => $rows, 'lastRow' => $totalRows ]); : MySQL/MariaDB utilizing PDO (PHP Data Objects) and
This PHP script serves as the API endpoint. It connects to the database, fetches records, and returns them as a JSON array.
// Get total row count $countSql = preg_replace('/SELECT. FROM/', 'SELECT COUNT( ) as total FROM', $sql, 1); $stmt = $pdo->prepare($countSql); $stmt->execute($params); $totalRows = $stmt->fetch(PDO::FETCH_ASSOC)['total'];
CREATE TABLE `products` ( `id` int NOT NULL AUTO_INCREMENT, `product_name` varchar(255) NOT NULL, `category` varchar(100) NOT NULL, `price` decimal(12,2) NOT NULL, `stock_quantity` int NOT NULL, `last_updated` timestamp NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`), KEY `idx_category` (`category`), KEY `idx_price` (`price`) ); When combined with a PHP backend, you can
For large datasets, don't load everything at once. Use the SSRM to fetch data in blocks as the user scrolls.
$sortModel = $input['sortModel'] ?? []; $filterModel = $input['filterModel'] ?? [];