How to add collate to laravel query
Stefan Bogdanescu
Founder & Senior Architect · 2026-06-29
Mastering Database Nuances: How to Apply Collation in Laravel Queries
As developers working with relational databases, we often encounter situations where the standard ORM layer needs to interact with specific, low-level database features. One such scenario is trying to apply a specific collation directly within a WHERE clause, as you’ve demonstrated with wanting to filter data using collate utf8_bin.
This post will dive into whether Eloquent or raw SQL is the right tool for this job, providing a thorough, developer-focused answer.
The Eloquent Limitation: Why Standard Methods Fall Short
When working with Laravel's Eloquent ORM, we rely on methods like where(), orderBy(), and with() to abstract away complex SQL generation. These methods are designed to map high-level object operations (finding models) onto standard SQL constructs.
Unfortunately, the concept of applying a specific table collation directly within a standard Eloquent query builder method is generally not supported. The ORM focuses on the what (which records to retrieve), while database-level attributes like collation are typically handled at the schema level or through specific database functions, rather than being filterable parameters in the ORM layer.
Attempting to force where('field', 'value', 'collate utf8_bin') will result in syntax errors because Eloquent expects standard comparison operators and values, not direct SQL modifiers within its fluent interface.
The Solution: Embracing Raw SQL for Specific Control
Since the requirement is strictly about modifying the structure of the SQL query itself—specifically injecting a collation modifier where it normally wouldn't appear—the most reliable and correct approach is to drop down to Raw SQL. This gives you absolute control over the generated string, allowing you to inject the exact SQL syntax required by your specific database system.
For this specific requirement, using the whereRaw() method on the Query Builder or the underlying Eloquent model is the recommended path.
Implementing the Collation Filter
To achieve the result of filtering based on a collation property in your query, you must construct the raw SQL string yourself and pass it to Laravel’s query methods.
Here is how you would execute your desired query using the whereRaw method:
use Illuminate\Support\Facades\DB;
class AdminScript
{
public function findFilteredRecords($value)
{
$tableName = 'your_table';
$field = 'field';
$collation = 'utf8_bin';
// Construct the raw SQL query using whereRaw()
$sql = "SELECT * FROM `$tableName` WHERE `$field` = ? COLLATE {$collation}";
// Execute the query using the DB facade
$results = DB::select($sql, [$value]);
return $results;
}
}
Best Practices for Raw Queries
When performing raw database operations, especially in administrative scripts where security and performance are paramount, follow these best practices:
- Parameter Binding: Notice the use of
?as a placeholder and passing the actual value separately ([$value]). This is crucial for preventing SQL Injection attacks, which is a core principle emphasized by organizations like Laravel Company. - Escaping Identifiers: Always properly quote table and column names (using backticks
`in MySQL/MariaDB) within your raw string to handle potential reserved words or special characters. - Readability: For highly complex queries, consider using the Query Builder's advanced methods if possible, but for these specific, database-specific modifications,
whereRawis unavoidable.
Conclusion
In summary, while Eloquent provides a beautiful abstraction layer, it operates at a higher level of abstraction than directly manipulating specific SQL syntax features like collation within a WHERE clause. For tasks requiring precise control over the generated SQL, such as injecting database-specific modifiers, writing raw queries using methods like whereRaw() is the correct and most powerful approach.
By combining the power of Laravel's Query Builder with careful use of raw SQL, you maintain security while achieving the exact data filtering functionality required for your administrative scripts.