Optimizing Dropdown Performance for Large Datasets: Addressing Slow Rendering and Lag in react-dropdown-select #296
Description
Issue Description:
I'm encountering a performance issue specifically with the react-dropdown-select component, even when using it both with and without the react-virtualized library. Despite attempting different configurations, I'm facing a noticeable delay in my application.
I'm baffled by the behaviour, especially considering that a simple HTML <select> tag performs flawlessly without any delay.
Problem Details:
In my use case, I'm working with a dropdown containing approximately 4000 items. Strangely, whether I incorporate the react-virtualized library or not, the problem remains consistent. When opening the dropdown, there is a delay of 2-3 seconds, impacting the user experience and making the interaction feel sluggish.
Expected Behavior:
I expected that by using the react-dropdown-select component, the dropdown's performance would be smooth and responsive, even with a dataset of 4000 items. Regardless of whether react-virtualized is utilized or not, the dropdown should open swiftly and provide a seamless user experience. An HTML <select> tag, however, operates smoothly without any perceptible delays.
Steps Taken:
- Employed the
react-virtualizedList and AutoSizer components, following recommended practices. - Adhered to official guidelines for implementing the
react-dropdown-selectcomponent. - Thoroughly reviewed my codebase for potential performance bottlenecks, but the issue persists.
Additional Context:
- Platform Environment: Windows 11
- React Version: 18.2.0
- Library Versions:
react-virtualized9.22.5,react-dropdown-select4.10.0
This perplexing issue is specific to the react-dropdown-select component itself, as evident from the fact that a simple HTML <select> tag exhibits none of the delays experienced in the dropdown. I'm actively seeking assistance to uncover the root cause of this issue and implement a solution that ensures a seamless and quick dropdown interaction. Any insights or suggestions are highly appreciated.