Laravel Eloquent search multiple fields and relationship

Stefan Bogdanescu

Founder & Senior Architect · 2026-06-29

Laravel Company

Mastering Multi-Field and Relationship Searching in Laravel Eloquent

As developers working with relational databases through an ORM like Laravel Eloquent, one of the most common requirements is searching across multiple related models simultaneously. When you need to search fields directly on a parent model and fields nested within its relationships, the approach requires careful structuring of your query.

This post tackles the specific challenge of searching across Machines fields and their associated MachineWarranty details, addressing why simple orWhere statements can become complex when dealing with eager loading.

The Challenge: Searching Across Nested Relationships

You are trying to construct a query that finds machines where either the serial or type matches your search term, or where the related warranty's first_name matches the same term. Your initial attempt using orWhere for direct fields and a closure within with() for the relationship filtering is a good start, but it often fails to capture the desired logical OR across the entire result set efficiently.

The core difficulty lies in mixing conditions on the main table (Machines) with conditions on a related table (MachineWarranty) using an OR operator.

The Eloquent Solution: Combining where and whereHas

Instead of trying to force complex nested logic into a single, sprawling chain of orWhere clauses, a more robust and readable approach is to leverage Eloquent's dedicated relationship querying methods. For checking the existence or properties of related models, whereHas() is often the most powerful tool.

However, since you are performing a search (using LIKE), we need to ensure that the search term applies correctly to both sets of criteria. We can achieve this by combining standard where clauses for direct fields and using whereHas to check if any related record matches the pattern.

Step-by-Step Implementation

Let's assume you have a $search variable containing the string you are looking for.

1. Searching Direct Fields (Serial/Type)

This part remains straightforward, targeting the primary model:

$query = Machine::where(function ($query) use ($search) {
    $query->where('serial', 'LIKE', '%' . $search . '%')
          ->orWhere('type', 'LIKE', '%' . $search . '%');
});

2. Searching the Relationship Fields (Warranty Name)

To search the related MachineWarranty table, we use whereHas(). This method checks if a relationship exists and applies constraints on that relationship.

Since you want to find machines where at least one warranty record has a matching name, you can structure it like this:

$query->whereHas('warranty', function ($query) use ($search) {
    $query->where('first_name', 'LIKE', '%' . $search . '%');
});

3. Combining the Criteria with orWhere

To combine these two major search criteria (Parent fields OR Related fields), we must ensure that the resulting set of machines satisfies either condition. We achieve this by grouping the conditions within a main where clause.

Here is the complete, optimized query structure:

$search = 'WarrantySearchTerm'; // Example input

$machines = Machine::where(function ($query) use ($search) {
    // Condition Set A: Search fields on the Machine model
    $query->where('serial', 'LIKE', '%' . $search . '%')
          ->orWhere('type', 'LIKE', '%' . $search . '%')

    // OR Condition Set B: Search across the relationship
          ->orWhereHas('warranty', function ($q) use ($search) {
              $q->where('first_name', 'LIKE', '%' . $search . '%');
          });
})
->with('warranty'); // Eager load the warranty data

// Execute the query
$results = $machines->orderBy('created_at', 'desc')->get();

Why This Approach is Superior

  1. Clarity and Maintainability: By separating the logic into distinct, named conditions (using closures), the code clearly communicates what you are searching for, which is crucial when working on complex features like those found in high-level frameworks such as Laravel.
  2. Efficiency: While it still generates complex SQL with OR logic, using whereHas allows Eloquent to manage the join and filtering efficiently, often resulting in cleaner execution plans than manually managing many nested JOINs or relying solely on raw queries for this type of relational search.
  3. Relationship Integrity: Using whereHas ensures that only machines associated with warranties matching your criteria are returned, keeping the integrity of the relationship intact during the search process.

Conclusion

Searching across multiple fields and relationships in Eloquent requires moving beyond simple chained orWhere calls when dealing with nested data. By strategically employing closures within where() alongside dedicated methods like whereHas(), you can construct sophisticated queries that are both powerful and highly readable. Mastering these techniques is fundamental to building scalable and maintainable applications using Laravel, allowing you to harness the full power of Eloquent for complex data retrieval.