Performance Optimization of Syncfusion Blazor DataGrid on Legion Slim 5 Gen 9 AMD Laptop

[Alina Williams]

Hello Syncfusion Community,

I'm currently developing a Blazor-based web application that heavily utilizes Syncfusion's DataGrid component. While testing on my Legion Slim 5 Gen 9 AMD Laptop, which boasts high-end specifications, I've observed that rendering large datasets (exceeding 10,000 rows) results in noticeable performance degradation, including increased load times and sluggish interactions.

Development Environment:

• Laptop Model: Legion Slim 5 Gen 9 Laptop
• Operating System: Windows 11 Home 64
• Browser: Microsoft Edge (latest version)
• Blazor Version: .NET 7.0
• Syncfusion Blazor Components Version: 20.3.0.56

Issues Encountered:

1. Slow Rendering: Loading large datasets in the DataGrid leads to significant delays before the data is displayed.
2. Laggy Scrolling: Vertical scrolling becomes less responsive as the number of rows increases.
3. High Memory Usage: Monitoring system resources indicates elevated memory consumption during these operations.

Steps Taken:

• Virtualization: Enabled row virtualization, which improved performance but didn't fully resolve the issues.
• Paging: Implemented paging to limit the number of rows displayed simultaneously; however, user requirements necessitate viewing large datasets without pagination.
• Data Optimization: Ensured that data structures are optimized and minimized the use of complex cell templates.

Questions:

1. Are there additional performance optimization techniques or best practices specific to the Syncfusion Blazor DataGrid that I might have overlooked?
2. Could there be compatibility concerns between the DataGrid component and the hardware or software specifications of the Legion Slim 5 Laptop?
3. Are there known limitations when handling large datasets with the DataGrid, and if so, what alternative approaches would you recommend?

Thank you in advance for your support and suggestions. I look forward to resolving these issues and making the most out of my Legion Slim 5 Gen 9 AMD Laptop while working with Syncfusion Blazor components.

Best regards,

Alina Williams

[Prathap Senthil]

Hi Alina Williams,

Based on the reported problem, it seems that you are handling a large dataset. We recommend using the Virtualization feature or the Paging feature to improve performance. When using either paging or virtualization in the grid, initially, you will receive the current set of records in the grid's data source. Subsequent sets of records will be loaded as you move to the next page, and in the case of virtualization, additional records will load as you scroll. For more information refer to the below documentation.

Paging in Blazor DataGrid Component | Syncfusion
Virtualization in Blazor DataGrid Component | Syncfusion

Note: the DataGrid's paging feature operates based on the on-demand loading with skip-and-take values. While we acknowledge the importance of having visibility into all records for certain scenarios, retrieving all records might not be feasible due to performance and resource constraints, especially with large datasets.

In the meantime, we understand that you may already be aware of some points, but we would like to highlight a few tips to improve performance when working with large datasets or a large number of columns. Please refer to this guide on performance tips for the Blazor DataGrid Component: https://blazor.syncfusion.com/documentation/datagrid/performance#optimizing-performance-with-column-virtualization-in-large-no-of-columns

Additionally, for the best practices on improving performance, we recommend referring to the documentation linked above.
https://blazor.syncfusion.com/documentation/datagrid/performance

If still issue persists ,to further investigate the issue, we need additional clarification from your side. Please provide the following details to help us proceed:

• Could you please share the grid code along with the model class?
• To help us analyze the issue, could you provide a simple, reproducible sample that demonstrates the problem? This will allow us to identify the issue more effectively and provide a resolution. Alternatively, you could share your attempt to replicate the issue using the attached sample

The information you provide will be very helpful in validating the reported query on our end and in providing a solution as quickly as possible. Thank you for your understanding.

Regards,
Prathap Senthil