How can I optimize report performance when dealing with large datasets
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- Posts: 1
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How can I optimize report performance when dealing with large datasets
Hi, I'm new and have a question. In Stimulsoft Reports.WEB, how can I optimize report performance when dealing with large datasets, especially in scenarios where multiple subreports are nested within the main report? I'm particularly interested in strategies for reducing loading times and memory usage, as well as best practices for using dynamic data sources and filtering within subreports to ensure efficient rendering. Additionally, how can I leverage the built-in caching mechanisms and customize them to handle real-time data updates without compromising on responsiveness?
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- Posts: 7333
- Joined: Tue Mar 20, 2018 5:34 am
Re: How can I optimize report performance when dealing with large datasets
Hello,
Unfortunately, the data pagination feature is not available in our products. All data should be loaded before report rendering.
As a way, you can split your data, and then merge rendered reports.
Thank you.
Unfortunately, the data pagination feature is not available in our products. All data should be loaded before report rendering.
As a way, you can split your data, and then merge rendered reports.
Thank you.