Question 1

How do I add sorting to my table with Svelte Simple Datatables?

Accepted Answer

Sorting isn't built-in; you need to implement it manually by sorting the data array before passing it to the TableHandler or adding custom logic in your Svelte component. The library focuses on pagination and state management, leaving advanced features to the developer.

Question 2

Svelte Simple Datatables vs TanStack Table for Svelte?

Accepted Answer

Svelte Simple Datatables is a lightweight, Svelte-native solution emphasizing simplicity and ease of use, while TanStack Table is framework-agnostic with more features like virtualization. Choose based on whether you prefer a dedicated Svelte API or a comprehensive table library with broader capabilities.

Question 3

Can I use Svelte Simple Datatables with SvelteKit?

Accepted Answer

Yes, it's fully compatible with SvelteKit as it's built for Svelte applications. The TableHandler and components integrate smoothly within SvelteKit's component structure and routing, though server-side data fetching may require manual setup.

Question 4

How to fetch remote data and display it in the table?

Accepted Answer

Use the optional remote module included in the library. It provides methods to fetch data from APIs and manage it with the TableHandler, handling pagination and updates automatically. Import it from '@vincjo/datatables/remote' for seamless integration.

Question 5

Is server-side rendering supported?

Accepted Answer

The README doesn't explicitly mention SSR support. Since it's Svelte-based, it should work with SvelteKit's SSR, but you'll need to handle data initialization on the server manually, as the TableHandler may require client-side reactivity.

Question 6

What's the performance impact with large datasets?

Accepted Answer

Built-in pagination helps by limiting rendered rows per page, improving performance for large datasets. However, for very large data, virtual scrolling isn't provided, so you might need additional optimizations or custom implementations.

@vincjo/datatables

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