Laravel Like Eloquent with array value?
Stefan Bogdanescu
Founder & Senior Architect · 2026-06-29
Laravel Like Eloquent with Multiple Search Values: Mastering Complex Queries
As developers working with Laravel and Eloquent, we constantly face the challenge of performing complex searches against database columns, especially when dealing with partial matches (like LIKE queries). When you need to search for multiple terms simultaneously, the naive approach often leads to inefficient code. Today, we will dive into how to correctly execute a multi-value LIKE query in Eloquent without falling into performance traps.
The Pitfall of Looping for Searches
The scenario you described—looping through an array of search words and executing a separate query for each one—is a common starting point, but it introduces significant performance overhead.
Consider the approach:
$searchWords = explode(' ', Input::get('search'));
foreach($searchWords as $word){
// This executes N separate queries against the database!
$pages = Page::where('content', 'LIKE', '%'.$word.'%')->distinct()->get();
}
This method is problematic because:
- N+1 Problem: It forces the application to make $N$ separate round trips to the database, which is slow, especially as your list of search words grows.
- Redundancy: If you are searching for "Laravel" and "Eloquent," you run two completely separate searches instead of one combined, optimized search.
We must strive to construct a single, powerful query that handles all conditions efficiently.
The Efficient Solution: Combining Conditions with OR
The most direct way to solve this in SQL is by combining your multiple LIKE conditions using the logical operator OR. In Eloquent, we achieve this by nesting conditions within a closure or using the raw where clause structure. This allows the database to process all terms in a single operation.
Here is how you can dynamically build that complex WHERE clause:
$searchWords = explode(' ', Input::get('search'));
if (!empty($searchWords)) {
// Start building the query with a closure for group management
$query = Page::where(function ($query) use ($searchWords) {
foreach ($searchWords as $word) {
// Use 'OR' logic to include any matching word
$query->orWhere('content', 'LIKE', '%' . $word . '%');
}
});
// Apply distinct and retrieve the results once
$pages = $query->distinct()->get();
} else {
$pages = collect(); // Return an empty collection if no search is provided
}
Explanation of Best Practices
- Single Query: By using nested
orWherewithin a single outerwhereclause, we instruct the database to find records where thecontentfield matches any of the specified patterns. This executes only one query, drastically improving performance over $N$ queries. - Dynamic Construction: Using the
use ($searchWords)closure ensures that the loop variables are correctly scoped within the Eloquent query builder context. - Readability: While slightly complex initially, this pattern is highly readable and directly reflects the necessary SQL logic (
WHERE (condition1 OR condition2 OR ...)).
Advanced Optimization: Full-Text Search
While combining LIKE queries works for simple partial matching, if your application scales and you need high-performance searching across large text fields, relying purely on LIKE '%term%' can become very slow because it forces a full table scan.
For true enterprise-level search capabilities in Laravel, the industry standard is to leverage Full-Text Search (FTS) features provided by your underlying database (like MySQL's MATCH AGAINST or PostgreSQL's built-in FTS).
Laravel provides excellent integration points for these features. When you look at advanced querying and indexing strategies within the framework documentation on platforms like laravelcompany.com, you will find guidance on how to structure your database and Eloquent queries to utilize these powerful indexing mechanisms, leading to searches that are orders of magnitude faster than string matching alone.
Conclusion
Stop looping and start querying! For multi-value LIKE searches in Laravel Eloquent, the key is to consolidate your conditions into a single query using nested orWhere clauses. This shifts the heavy lifting from PHP loops to the highly optimized database engine. Always aim for the most efficient SQL structure possible, and when performance becomes critical, explore Full-Text Search solutions offered by your database.