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Harnessing Full-Text Search in Laravel

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Release: 2025-03-05 15:26:15
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Harnessing Full-Text Search in Laravel

Laravel offers powerful full-text search capabilities via the whereFullText and orWhereFullText methods, providing a more refined approach to data retrieval than simple LIKE statements.

System Prerequisites

  • Compatible Databases: MariaDB, MySQL, and PostgreSQL are supported.
  • Full-text indexing on relevant columns is essential.
  • For large-scale applications, consider employing ElasticSearch or Meilisearch for optimal performance.

The whereFullText methods seamlessly integrate with your database's built-in full-text search functionality. A basic example follows:

use Illuminate\Support\Facades\DB;
$users = DB::table('users')
    ->whereFullText('bio', 'web developer')
    ->get();
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This can be expanded to create robust search features for applications like blogs or content management systems. The following illustrates a search across multiple columns with category filtering:

// ArticleController.php
public function search(Request $request)
{
    return Article::query()
        ->whereFullText(['title', 'content'], $request->search)
        ->when($request->category, function ($query, $category) {
            $query->where('category', $category);
        })
        ->orderBy('published_at', 'desc')
        ->paginate(15);
}
// migration
Schema::create('articles', function (Blueprint $table) {
    $table->id();
    $table->string('title');
    $table->text('content');
    $table->string('category');
    $table->timestamp('published_at');
    $table->fullText(['title', 'content']);
});
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Laravel automatically generates the correct SQL for your database. For MariaDB and MySQL, it defaults to MATCH AGAINST statements using natural language mode.

This approach streamlines complex search logic while maintaining efficient query speeds for moderately sized projects. However, for applications demanding advanced search or handling substantial datasets, dedicated search engines such as ElasticSearch or Meilisearch are recommended.

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