It sounds like you're facing performance issues due to the large number of rows and the heavy data being loaded into the DOM. Here are a few strategies you can consider to improve the performance of your Livewire component:
-
Lazy Loading or Pagination: Instead of loading all 50+ rows at once, consider implementing lazy loading or pagination. This way, you only load a subset of the data initially and load more as needed.
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Debounce Input: If you're using Livewire for real-time updates, consider debouncing the input to reduce the number of requests being sent to the server. This can be done using Livewire's
wire:model.debouncemodifier. -
Optimize Data Structure: Ensure that the data structure you're using is as efficient as possible. For example, if you're sending a large array of users, make sure you're only sending the necessary data (e.g., user IDs and names).
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Use Inertia for Heavy Lifting: Since you mentioned that Inertia handles the page more efficiently, consider using Inertia for this specific component. Inertia can handle large datasets more efficiently by leveraging client-side rendering.
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Virtual Scrolling: Implement virtual scrolling for the table. This technique only renders the rows that are currently visible in the viewport, which can significantly reduce the memory footprint.
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Optimize JavaScript: If you're offloading work to JavaScript, ensure that your JavaScript code is optimized. Avoid unnecessary re-renders and use efficient data structures.
Here's a basic example of how you might implement pagination with Livewire:
// In your Livewire component
public $perPage = 10;
public function loadMore()
{
$this->perPage += 10;
}
public function getUsersProperty()
{
return User::paginate($this->perPage);
}
<!-- In your Blade view -->
<div>
@foreach($this->users as $user)
<div>{{ $user->name }}</div>
@endforeach
@if($this->users->hasMorePages())
<button wire:click="loadMore">Load More</button>
@endif
</div>
By implementing these strategies, you should be able to improve the performance of your Livewire component. If Inertia is already working well for you, it might be worth considering using it for this specific use case.