{"id":3274,"date":"2025-11-17T18:11:01","date_gmt":"2025-11-17T18:11:01","guid":{"rendered":"https:\/\/xceed.com\/?p=3274"},"modified":"2026-08-26T14:55:20","modified_gmt":"2026-08-26T18:55:20","slug":"performances-datagrid-wpf-grands-ensembles-de-donnees","status":"publish","type":"post","link":"https:\/\/xceed.com\/fr\/blog\/tutorials\/wpf-datagrid-performance-large-datasets\/","title":{"rendered":"Rendre 1 million de lignes dans WPF sans bloquer l'interface utilisateur : un guide pratique avec Xceed DataGrid"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Vous rencontrez des blocages de l'interface utilisateur avec de gros volumes de donn\u00e9es dans vos applications WPF ? D\u00e9couvrez comment obtenir des performances de haut niveau pour le DataGrid WPF avec de grands ensembles de donn\u00e9es en utilisant Xceed DataGrid. Ce guide vous montre comment rendre 1 million de lignes sans d\u00e9calage, en utilisant la virtualisation asynchrone des donn\u00e9es et les meilleures pratiques pour les applications .NET \u00e0 l'\u00e9chelle de l'entreprise.<br><\/p>\n\n\n\n<h1 class=\"wp-block-heading\" style=\"font-size:35px\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Pourquoi les volets WPF na\u00effs se figent avec de grands ensembles de donn\u00e9es<\/mark><\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Une impl\u00e9mentation typique de grille WPF ressemble souvent \u00e0 ceci :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lier directement \u00e0 un <strong>Liste<\/strong> ou <strong>CollectionObservable<\/strong> contenant toutes les lignes<\/li>\n\n\n\n<li>Que WPF cr\u00e9e un \u00e9l\u00e9ment visuel pour chaque ligne<\/li>\n\n\n\n<li>S'appuyer sur les param\u00e8tres de virtualisation par d\u00e9faut (ou aucun)<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Cela fonctionne bien pour quelques milliers de lignes. Mais une fois que vous poussez dans <strong>des centaines de milliers voire des millions d'articles<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Le thread d'interface utilisateur est bloqu\u00e9<\/strong> alors que la grille cr\u00e9e et mesure les \u00e9l\u00e9ments visuels<\/li>\n\n\n\n<li><strong>Le d\u00e9filement devient saccad\u00e9<\/strong> car trop de conteneurs sont recycl\u00e9s ou recr\u00e9\u00e9s<\/li>\n\n\n\n<li><strong>Utilisation de la m\u00e9moire atteint son pic<\/strong> parce que la grille essaie de garder trop de visuels actifs<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Le r\u00e9sultat : la grille est lente, m\u00eame si votre acc\u00e8s aux donn\u00e9es est rapide.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-1\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Comment Xceed DataGrid pour WPF g\u00e8re 1 million de lignes<\/mark><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Xceed DataGrid pour WPF<\/strong> est con\u00e7u pour <strong>grands ensembles de donn\u00e9es du monde r\u00e9el<\/strong>. La principale diff\u00e9rence r\u00e9side dans la mani\u00e8re dont il g\u00e8re <strong>virtualisation et chargement asynchrone des donn\u00e9es<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Virtualisation des donn\u00e9es :<\/strong> Seule une petite fen\u00eatre de lignes est r\u00e9alis\u00e9e \u00e0 la fois, m\u00eame si la source contient plus d'un million d'\u00e9l\u00e9ments.<\/li>\n\n\n\n<li><strong>Virtualisation de l'interface utilisateur :<\/strong> Les conteneurs visuels sont r\u00e9utilis\u00e9s de mani\u00e8re agressive, minimisant ainsi les co\u00fbts de mise en page et de rendu.<\/li>\n\n\n\n<li><strong>Chargement asynchrone :<\/strong> Les donn\u00e9es sont r\u00e9cup\u00e9r\u00e9es et pr\u00e9par\u00e9es sur des threads d'arri\u00e8re-plan, maintenant ainsi l'interface utilisateur r\u00e9active<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Concr\u00e8tement, cela signifie :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Le chargement initial de la grille reste rapide, m\u00eame avec d'\u00e9normes ensembles de donn\u00e9es<\/li>\n\n\n\n<li>Le d\u00e9filement reste fluide car vous ne payez pas le co\u00fbt de 1 million de visuels<\/li>\n\n\n\n<li>L'empreinte m\u00e9moire reste pr\u00e9visible et g\u00e9rable<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Avant\/Apr\u00e8s : Grille WPF na\u00efve vs Xceed DataGrid<\/mark><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Comparons un sc\u00e9nario simplifi\u00e9.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Grille WPF na\u00efve (conceptuelle)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Ensemble de donn\u00e9es<\/strong> 1 000 000 lignes dans une liste<\/li>\n\n\n\n<li><strong>Grille :<\/strong> Contr\u00f4le de grille de style ItemsControl standard avec virtualisation minimale<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Comportement observ\u00e9 dans une configuration typique :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Chargement initial : plusieurs secondes avant que l'interface utilisateur ne devienne r\u00e9active<\/li>\n\n\n\n<li>D\u00e9filement : saccades notables lors des sauts de page importants<\/li>\n\n\n\n<li>M\u00e9moire : utilisation \u00e9lev\u00e9e due \u00e0 de nombreux conteneurs r\u00e9alis\u00e9s<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Xceed DataGrid pour WPF avec virtualisation asynchrone<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>M\u00eame jeu de donn\u00e9es\u00a0:<\/strong> 1 000 000 lignes, mais expos\u00e9es via une source virtualis\u00e9e<\/li>\n\n\n\n<li><strong>Grille :<\/strong> Xceed DataGrid configur\u00e9 pour la virtualisation des donn\u00e9es + UI<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Comportement observ\u00e9 dans une configuration typique :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Chargement initial : l'interface utilisateur devient utilisable beaucoup plus rapidement car seul un petit sous-ensemble est r\u00e9alis\u00e9<\/li>\n\n\n\n<li>D\u00e9filement : fluide, m\u00eame lors de sauts lointains dans le jeu de donn\u00e9es<\/li>\n\n\n\n<li>M\u00e9moire : significativement plus basse car seules les lignes visibles sont mat\u00e9rialis\u00e9es<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">La suite de cet article explique comment y parvenir dans votre propre projet.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-2\">Configuration du Xceed DataGrid pour WPF<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Tout d'abord, installez le package DataGrid via NuGet et r\u00e9f\u00e9rencez-le dans votre XAML.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">XAML : Configuration de base de la grille avec virtualisation<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code data-no-translation=\"\">&lt;Window x:Class=\"MillionRowsDemo.MainWindow\"\n        xmlns=\"http:\/\/schemas.microsoft.com\/winfx\/2006\/xaml\/presentation\"\n        xmlns:x=\"http:\/\/schemas.microsoft.com\/winfx\/2006\/xaml\"\n        xmlns:xcdg=\"http:\/\/schemas.xceed.com\/wpf\/xaml\/datagrid\"\n        Title=\"1M Rows Demo\" Height=\"600\" Width=\"1000\"&gt;\n\n  &lt;Grid&gt;\n    &lt;xcdg:DataGridControl\n        x:Name=\"dataGrid\"\n        ItemsSource=\"{Binding Rows}\"\n        AutoCreateColumns=\"True\"\n        EnableColumnVirtualization=\"True\"\n        EnableRowVirtualization=\"True\"\n        VirtualizingPanel.ScrollUnit=\"Pixel\"\n        VirtualizingPanel.IsVirtualizing=\"True\"\n        VirtualizingPanel.IsVirtualizingWhenGrouping=\"True\"\n        UseLayoutRounding=\"True\" \/&gt;\n  &lt;\/Grid&gt;\n&lt;\/Window&gt;<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Points cl\u00e9s\u00a0:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ActiverLaVirtualisationDesLignes<\/strong> et <strong>ActiverLaVirtualisationDesColonnes<\/strong> ne pas d\u00e9passer le nombre de conteneurs r\u00e9alis\u00e9s<\/li>\n\n\n\n<li><strong>Panneau de virtualisation<\/strong> Param\u00e8tres, assurez-vous que la virtualisation reste active m\u00eame lors de groupes ou de d\u00e9filements intensifs<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-3\">G\u00e9n\u00e9rer 1 million de lignes dans le ViewModel<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u00c0 des fins de d\u00e9monstration, nous pouvons simuler un jeu de donn\u00e9es de 1 million de lignes. Dans une application r\u00e9elle, vous pourriez diffuser des donn\u00e9es depuis une base de donn\u00e9es ou un service.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code data-no-translation=\"\">public class MainViewModel\n{\n    public IList&lt;RowViewModel&gt; Rows { get; }\n\n    public MainViewModel()\n    {\n        const int rowCount = 1_000_000;\n        var rows = new List&lt;RowViewModel&gt;(rowCount);\n\n        for (int i = 0; i &lt; rowCount; i++)\n        {\n            rows.Add(new RowViewModel\n            {\n                Id = i,\n                Name = $\"Item {i}\",\n                Value = i % 1000,\n                Timestamp = DateTime.UtcNow.AddSeconds(-i)\n            });\n        }\n\n        Rows = rows;\n    }\n}\n\npublic class RowViewModel\n{\n    public int Id { get; set; }\n    public string Name { get; set; }\n    public int Value { get; set; }\n    public DateTime Timestamp { get; set; }\n}<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">M\u00eame avec une simple liste en m\u00e9moire, la virtualisation de Xceed DataGrid emp\u00eachera l'interface utilisateur d'essayer de rendre les 1 million de lignes en une seule fois.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-4\">Pr\u00e9sentation de la virtualisation des donn\u00e9es asynchrone<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Pour des ensembles de donn\u00e9es vraiment volumineux ou \u00e9loign\u00e9s, vous ne voulez pas mat\u00e9rialiser toutes les lignes en m\u00e9moire. Au lieu de cela, vous pouvez utiliser un <strong>collection virtualis\u00e9e<\/strong> qui charge des pages de donn\u00e9es \u00e0 la demande.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Voici un exemple conceptuel d'un mod\u00e8le de collection asynchrone pagin\u00e9e :<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code data-no-translation=\"\">public class AsyncVirtualizedCollection&lt;T&gt; : IList&lt;T&gt;\n{\n    \/\/ Implementation omitted for brevity.\n    \/\/ The important idea: items are loaded in pages on demand,\n    \/\/ often using async calls to a repository or service.\n}\n\npublic class MillionRowsViewModel\n{\n    public IList&lt;RowViewModel&gt; Rows { get; }\n\n    public MillionRowsViewModel(IDataSource dataSource)\n    {\n        Rows = new AsyncVirtualizedCollection&lt;RowViewModel&gt;(\n            pageIndex =&gt; dataSource.GetPageAsync(pageIndex),\n            pageSize: 200,\n            itemCount: 1_000_000);\n    }\n}<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Avec ce mod\u00e8le :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>La grille ne demande que les pages dont elle a besoin pour la vue actuelle<\/li>\n\n\n\n<li>Les donn\u00e9es sont r\u00e9cup\u00e9r\u00e9es de mani\u00e8re asynchrone, afin de garder le thread d'interface utilisateur r\u00e9actif.<\/li>\n\n\n\n<li>Vous \u00e9vitez de charger les 1 million de lignes en m\u00e9moire en une seule fois<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Xceed DataGrid fonctionne tr\u00e8s bien avec ce style de source virtualis\u00e9e car il est con\u00e7u pour <strong>virtualisation des donn\u00e9es<\/strong> sc\u00e9narios.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-5\">Performance simple : Temps de chargement, M\u00e9moire, Fluidit\u00e9 du d\u00e9filement<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Chaque application est diff\u00e9rente, mais vous pouvez ex\u00e9cuter un benchmark simple comparant votre grille actuelle \u00e0 Xceed DataGrid.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Mesurer le temps de chargement initial<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>D\u00e9marrez un chronom\u00e8tre quand vous posez <strong>ItemsSource<\/strong><\/li>\n\n\n\n<li>Arr\u00eatez-le lorsque la grille devient interactive pour la premi\u00e8re fois<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code data-no-translation=\"\">var stopwatch = Stopwatch.StartNew();\n\ndataGrid.ItemsSource = viewModel.Rows;\n\nstopwatch.Stop();\nDebug.WriteLine($\"Initial grid load: {stopwatch.ElapsedMilliseconds} ms\");<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Comparer :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Grille na\u00efve :<\/strong> Souvent plusieurs secondes avec 1 million de lignes<\/li>\n\n\n\n<li><strong>Xceed DataGrid :<\/strong> G\u00e9n\u00e9ralement beaucoup plus rapide car il ne traite que les lignes visibles<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. Surveiller l'utilisation de la m\u00e9moire<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Utilisez vos outils de profilage habituels (Visual Studio Diagnostic Tools, dotMemory, etc.) et comparez :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>M\u00e9moire de base avant la liaison de la grille<\/li>\n\n\n\n<li>M\u00e9moire apr\u00e8s avoir parcouru une grande partie de l'ensemble de donn\u00e9es<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Avec Xceed DataGrid et la virtualisation appropri\u00e9e, vous devriez voir :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>M\u00e9moire de pointe r\u00e9duite<\/li>\n\n\n\n<li>Utilisation de la m\u00e9moire plus stable dans le temps<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. \u00c9valuer la fluidit\u00e9 du d\u00e9filement<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ceci est subjectif mais essentiel pour l'exp\u00e9rience utilisateur :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Faire d\u00e9filer lentement et rapidement dans l'ensemble de donn\u00e9es<\/li>\n\n\n\n<li>Sauter avec PageUp\/PageDown et faire glisser la barre de d\u00e9filement<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Avec Xceed DataGrid configur\u00e9 pour la virtualisation, le d\u00e9filement devrait rester <strong>lisse et r\u00e9actif<\/strong>, m\u00eame lorsque le jeu de donn\u00e9es sous-jacent est tr\u00e8s volumineux.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-6\">Meilleures Pratiques pour les Grands Ensembles de Donn\u00e9es dans WPF avec Xceed DataGrid<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Pour obtenir les meilleures performances lors du rendu de plus d'un million de lignes :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Utiliser la virtualisation de donn\u00e9es<\/strong> pour des jeux de donn\u00e9es distants ou tr\u00e8s volumineux<\/li>\n\n\n\n<li><strong>Gardez les mod\u00e8les de ligne l\u00e9gers<\/strong>\u2014\u00e9viter les visuels lourds ou les agencements complexes dans chaque cellule<\/li>\n\n\n\n<li><strong>Activer la virtualisation des lignes et des colonnes<\/strong> explicitement<\/li>\n\n\n\n<li><strong>\u00c9vitez les convertisseurs inutiles<\/strong> dans les chemins critiques ; pr\u00e9calculer les valeurs dans la mesure du possible<\/li>\n\n\n\n<li><strong>Profiler t\u00f4t<\/strong> avec des volumes de donn\u00e9es r\u00e9alistes, pas seulement des donn\u00e9es d'\u00e9chantillon<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Ces pratiques, combin\u00e9es au moteur de virtualisation de Xceed DataGrid, vous permettent de passer \u00e0 l'\u00e9chelle bien au-del\u00e0 de ce qu'une grille WPF na\u00efve peut g\u00e9rer.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-7\">Essayez ceci avec votre propre jeu de donn\u00e9es<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Le meilleur banc d'essai est votre application r\u00e9elle, avec vos donn\u00e9es et contraintes r\u00e9elles.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Essayez Xceed DataGrid pour WPF avec vos propres donn\u00e9es \u2013 commencez un essai de 45 jours :<\/strong><a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/xceed.com\/fr\/proces\/\">https:\/\/xceed.com\/trial\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Si vous souhaitez de l'aide pour reproduire ces r\u00e9sultats ou adapter cette approche \u00e0 votre architecture, nous sommes heureux de collaborer.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Besoin d'aide pour reproduire ces r\u00e9sultats ? Contactez-nous :<\/strong><a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/xceed.com\/fr\/support\/\">https:\/\/xceed.com\/support\/<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color has-link-color wp-elements-8\">FAQ<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Ai-je vraiment besoin de la virtualisation de donn\u00e9es si j'utilise d\u00e9j\u00e0 la virtualisation d'interface utilisateur ?<\/strong>La virtualisation de l'interface utilisateur aide, mais elle ne contr\u00f4le que le nombre d'\u00e9l\u00e9ments visuels cr\u00e9\u00e9s. Avec plus d'un million de lignes, il vous faut \u00e9galement <strong>virtualisation des donn\u00e9es<\/strong> donc vous ne chargez pas ou ne conservez pas tous les \u00e9l\u00e9ments en m\u00e9moire simultan\u00e9ment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q: Le regroupement, le tri et le filtrage fonctionneront-ils toujours bien avec 1 million de lignes ?<\/strong>R : Oui, mais vous devez \u00eatre intentionnel. Xceed DataGrid est optimis\u00e9 pour ces op\u00e9rations, et vous pouvez les combiner avec des op\u00e9rations c\u00f4t\u00e9 serveur ou pagin\u00e9es lorsque vous travaillez avec de tr\u00e8s grands ensembles de donn\u00e9es.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q: Puis-je commencer avec une liste en m\u00e9moire et passer \u00e0 la virtualisation plus tard ?<\/strong>Absolument. De nombreuses \u00e9quipes commencent avec une liste en m\u00e9moire pour plus de simplicit\u00e9, puis introduisent une collection virtualis\u00e9e une fois qu'elles comprennent leurs volumes de donn\u00e9es r\u00e9els et leurs exigences de performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Q : Et si mon r\u00e9seau existant est d\u00e9j\u00e0 en production et en difficult\u00e9 ?<\/strong>A : Vous pouvez introduire Xceed DataGrid progressivement \u2014 commencez par un seul \u00e9cran ou module, comparez-le \u00e0 votre grille actuelle, puis d\u00e9ployez le changement une fois que vous \u00eates s\u00fbr des gains de performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>","protected":false},"excerpt":{"rendered":"<p>When your WPF app needs to render hundreds of thousands or even 1 million+ rows most grids start to choke. Scrolling stutters, the UI freezes, and users lose trust in the application.<\/p>\n<p>In this guide, we\u2019ll walk through how to render 1,000,000 rows in WPF without freezing the UI using Xceed DataGrid for WPF. We\u2019ll compare a naive WPF grid to Xceed DataGrid with async data virtualization, show a simple benchmark, and give you code you can drop into your own app.<\/p>","protected":false},"author":12,"featured_media":3275,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[60],"tags":[442,347,545,356,396,366,431,543,373,542,544,74,339,72,82],"products":[795],"class_list":["post-3274","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tutorials","tag-appdev","tag-asyncvirtualization","tag-bigdataui","tag-datagrid","tag-developerexperience","tag-developertools","tag-enterpriseapps","tag-highperformanceui","tag-net9","tag-scalability","tag-uxperformance","tag-dotnet","tag-performance","tag-wpf","tag-xceed","products-datagrid-for-wpf"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>WPF DataGrid Performance with Large Datasets: 1 Million Rows with Xceed<\/title>\n<meta name=\"description\" content=\"Learn how to maximize WPF DataGrid performance with large datasets using Xceed DataGrid. Render 1 million rows smoothly with async virtualization.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/xceed.com\/fr\/blog\/tutoriels\/performances-datagrid-wpf-grands-ensembles-de-donnees\/\" \/>\n<meta property=\"og:locale\" content=\"fr_CA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"WPF DataGrid Performance with Large Datasets: 1 Million Rows with Xceed\" \/>\n<meta property=\"og:description\" content=\"Learn how to maximize WPF DataGrid performance with large datasets using Xceed DataGrid. 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