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React Data Grid - Local Virtual Scrolling

If the 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 DataGrid virtually, set the scrolling.mode to "virtual".

Backend API
import React, { useCallback, useState } from 'react'; import DataGrid, { Scrolling, Sorting, LoadPanel, DataGridTypes, } from 'devextreme-react/data-grid'; import { generateData } from './data.ts'; const dataSource = generateData(100000); const customizeColumns = (columns: DataGridTypes.Column[]) => { columns[0].width = 70; }; const App = () => { const [loadPanelEnabled, setLoadPanelEnabled] = useState(true); const onContentReady = useCallback(() => { setLoadPanelEnabled(false); }, []); return ( <DataGrid height={440} dataSource={dataSource} keyExpr="id" showBorders={true} customizeColumns={customizeColumns} onContentReady={onContentReady} > <Sorting mode="none" /> <Scrolling mode="virtual" /> <LoadPanel enabled={loadPanelEnabled} /> </DataGrid> ); }; export default App;
import React, { useCallback, useState } from 'react'; import DataGrid, { Scrolling, Sorting, LoadPanel } from 'devextreme-react/data-grid'; import { generateData } from './data.js'; const dataSource = generateData(100000); const customizeColumns = (columns) => { columns[0].width = 70; }; const App = () => { const [loadPanelEnabled, setLoadPanelEnabled] = useState(true); const onContentReady = useCallback(() => { setLoadPanelEnabled(false); }, []); return ( <DataGrid height={440} dataSource={dataSource} keyExpr="id" showBorders={true} customizeColumns={customizeColumns} onContentReady={onContentReady} > <Sorting mode="none" /> <Scrolling mode="virtual" /> <LoadPanel enabled={loadPanelEnabled} /> </DataGrid> ); }; export default App;
import React from 'react'; import ReactDOM from 'react-dom'; import App from './App.tsx'; ReactDOM.render( <App />, document.getElementById('app'), );
let s = 123456789; function random() { s = (1103515245 * s + 12345) % 2147483647; return s % (10 - 1); } export function generateData(count: number) { 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: ({ id: number; firstName: string; lastName: string; gender: string; birthDate: Date; })[] = []; 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; }
window.exports = window.exports || {}; window.config = { transpiler: 'ts', typescriptOptions: { module: 'system', emitDecoratorMetadata: true, experimentalDecorators: true, jsx: 'react', }, meta: { 'react': { 'esModule': true, }, 'typescript': { 'exports': 'ts', }, 'devextreme/time_zone_utils.js': { 'esModule': true, }, 'devextreme/localization.js': { 'esModule': true, }, 'devextreme/viz/palette.js': { 'esModule': true, }, 'openai': { 'esModule': true, }, }, paths: { 'npm:': 'https://unpkg.com/', 'bundles:': '../../../../bundles/', 'externals:': '../../../../bundles/externals/', }, defaultExtension: 'js', map: { 'ts': 'npm:plugin-typescript@8.0.0/lib/plugin.js', 'typescript': 'npm:typescript@4.2.4/lib/typescript.js', 'jszip': 'npm:jszip@3.10.1/dist/jszip.min.js', 'react': 'npm:react@17.0.2/umd/react.development.js', 'react-dom': 'npm:react-dom@17.0.2/umd/react-dom.development.js', 'prop-types': 'npm:prop-types/prop-types.js', 'rrule': 'npm:rrule@2.6.4/dist/es5/rrule.js', 'luxon': 'npm:luxon@3.4.4/build/global/luxon.min.js', 'es6-object-assign': 'npm:es6-object-assign', 'devextreme': 'npm:devextreme@link:../../packages/devextreme/artifacts/npm/devextreme/cjs', 'devextreme-react': 'npm:devextreme-react@link:../../packages/devextreme-react/npm/cjs', 'devextreme-quill': 'npm:devextreme-quill@1.7.1/dist/dx-quill.min.js', 'devexpress-diagram': 'npm:devexpress-diagram@2.2.5/dist/dx-diagram.js', 'devexpress-gantt': 'npm:devexpress-gantt@4.1.54/dist/dx-gantt.js', '@devextreme/runtime': 'npm:@devextreme/runtime@3.0.12', 'inferno': 'npm:inferno@7.4.11/dist/inferno.min.js', 'inferno-compat': 'npm:inferno-compat/dist/inferno-compat.min.js', 'inferno-create-element': 'npm:inferno-create-element@7.4.11/dist/inferno-create-element.min.js', 'inferno-dom': 'npm:inferno-dom/dist/inferno-dom.min.js', 'inferno-hydrate': 'npm:inferno-hydrate/dist/inferno-hydrate.min.js', 'inferno-clone-vnode': 'npm:inferno-clone-vnode/dist/inferno-clone-vnode.min.js', 'inferno-create-class': 'npm:inferno-create-class/dist/inferno-create-class.min.js', 'inferno-extras': 'npm:inferno-extras/dist/inferno-extras.min.js', 'devextreme-cldr-data': 'npm:devextreme-cldr-data@1.0.3', // SystemJS plugins 'plugin-babel': 'npm:systemjs-plugin-babel@0.0.25/plugin-babel.js', 'systemjs-babel-build': 'npm:systemjs-plugin-babel@0.0.25/systemjs-babel-browser.js', // Prettier 'prettier/standalone': 'npm:prettier@2.8.8/standalone.js', 'prettier/parser-html': 'npm:prettier@2.8.8/parser-html.js', }, packages: { 'devextreme': { defaultExtension: 'js', }, 'devextreme-react': { main: 'index.js', }, 'devextreme/events/utils': { main: 'index', }, 'devextreme/localization/messages': { format: 'json', defaultExtension: 'json', }, 'devextreme/events': { main: 'index', }, 'es6-object-assign': { main: './index.js', defaultExtension: 'js', }, }, packageConfigPaths: [ 'npm:@devextreme/*/package.json', 'npm:@devextreme/runtime@3.0.12/inferno/package.json', ], babelOptions: { sourceMaps: false, stage0: true, react: true, }, }; System.config(window.config);
import React from 'react'; import ReactDOM from 'react-dom'; import App from './App.js'; ReactDOM.render(<App />, document.getElementById('app'));
let s = 123456789; function random() { s = (1103515245 * s + 12345) % 2147483647; return s % (10 - 1); } export function generateData(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; }
<!DOCTYPE html> <html 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" /> <link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/24.2.3/css/dx.light.css" /> <script src="https://unpkg.com/core-js@2.6.12/client/shim.min.js"></script> <script src="https://unpkg.com/systemjs@0.21.3/dist/system.js"></script> <script type="text/javascript" src="config.js"></script> <link rel="stylesheet" type="text/css" href="styles.css" /> <script type="text/javascript"> System.import("./index.tsx"); </script> </head> <body class="dx-viewport"> <div class="demo-container"> <div id="app"></div> </div> </body> </html>

In this demo, the 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.