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JavaScript/jQuery Data Grid - Local Virtual Scrolling

If the JavaScript DataGrid component is bound to a large dataset, you can enable the virtual scroll feature to optimize data load times and improve user navigation. The component calculates the overall number of visible rows and displays a scrollbar that allows users to navigate to any section of rows. When users release the scroll thumb, the control loads records to be displayed in the viewport and removes other rows from memory.

To allow users to scroll the JavaScript DataGrid virtually, set the scrolling.mode to "virtual".

Backend API
$(() => { $('#gridContainer').dxDataGrid({ dataSource: generateData(100000), keyExpr: 'id', showBorders: true, customizeColumns(columns) { columns[0].width = 70; }, loadPanel: { enabled: true, }, scrolling: { mode: 'virtual', }, sorting: { mode: 'none', }, onContentReady(e) { e.component.option('loadPanel.enabled', false); }, }); });
<!DOCTYPE html> <html xmlns="http://www.w3.org/1999/xhtml" lang="en"> <head> <title>DevExtreme Demo</title> <meta http-equiv="X-UA-Compatible" content="IE=edge" /> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=5.0" /> <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script> <script>window.jQuery || document.write(decodeURIComponent('%3Cscript src="js/jquery.min.js"%3E%3C/script%3E'))</script> <link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/24.1.7/css/dx.light.css" /> <script src="js/dx.all.js"></script> <script src="data.js"></script> <link rel="stylesheet" type="text/css" href="styles.css" /> <script src="index.js"></script> </head> <body class="dx-viewport"> <div class="demo-container"> <div id="gridContainer"></div> </div> </body> </html>
#gridContainer { height: 440px; }
let s = 123456789; const random = function () { s = (1103515245 * s + 12345) % 2147483647; return s % (10 - 1); }; const generateData = function (count) { let i; const surnames = ['Smith', 'Johnson', 'Brown', 'Taylor', 'Anderson', 'Harris', 'Clark', 'Allen', 'Scott', 'Carter']; const names = ['James', 'John', 'Robert', 'Christopher', 'George', 'Mary', 'Nancy', 'Sandra', 'Michelle', 'Betty']; const gender = ['Male', 'Female']; const items = []; const startBirthDate = Date.parse('1/1/1975'); const endBirthDate = Date.parse('1/1/1992'); for (i = 0; i < count; i += 1) { const birthDate = new Date(startBirthDate + Math.floor( (random() * (endBirthDate - startBirthDate)) / 10, )); birthDate.setHours(12); const nameIndex = random(); const item = { id: i + 1, firstName: names[nameIndex], lastName: surnames[random()], gender: gender[Math.floor(nameIndex / 5)], birthDate, }; items.push(item); } return items; };

In this demo, the JavaScript DataGrid is bound to a local dataset of 100,000 records. You can drag the scrollbar on the right to see that records within the viewport are updated immediately.