Update Query in laravel 5.4
Stefan Bogdanescu
Founder & Senior Architect · 2026-06-29
Mastering Bulk Updates in Laravel: How to Update Multiple Rows Efficiently
As developers working with relational databases in frameworks like Laravel, one of the most common tasks involves updating multiple records simultaneously based on user input or processed data. When you receive an array of IDs or values, trying to loop through them and execute individual update queries can quickly become inefficient and lead to complex, error-prone code.
This post will walk you through the proper, efficient ways to handle bulk updates in Laravel, focusing on solving the problem of updating multiple rows based on an input array. We will explore why simple looping might not be the best approach and introduce the Eloquent methods designed for performance.
The Pitfall of Looping for Updates
You are attempting to update multiple Answer records based on an input array:
[
"3",
"4",
"5"
]
Your initial approach, iterating through this array and calling update() inside the loop, works in principle but is generally not the most optimized way to handle bulk operations in Eloquent.
// Example of the potentially inefficient approach:
$answers = $request->get('option'); // ["3", "4", "5"]
foreach ($answers as $answer) {
Answer::where('question_id', 1)->update(
['customer_id' => 1,
'answer' => $answer]
);
}
While this code will technically execute the updates, it forces the database to run multiple separate queries (N+1 problem territory, though here it’s N updates). For large datasets, this approach introduces significant overhead. A senior developer always seeks the most performant solution.
Method 1: The Efficient Way – Using whereIn for Bulk Updates
The most efficient method in Laravel for updating multiple rows based on a list of identifiers is to use the whereIn() clause combined with the update() method. This allows the database to execute a single, highly optimized SQL query instead of iterating PHP loops and executing many individual queries.
If you know which records you want to update (e.g., updating answers where the id is in your input array), this method shines:
use App\Models\Answer;
class AnswerController extends Controller
{
public function bulkUpdateAnswers(Request $request)
{
$answerIds = $request->get('option'); // Assuming these are the IDs of the rows to update
if (empty($answerIds)) {
return response()->json(['message' => 'No IDs provided.'], 400);
}
// Perform a single, bulk update query
$updatedCount = Answer::whereIn('id', $answerIds)
->update([
'customer_id' => 1,
'answer' => $answerIds // If you are setting the answer based on the ID itself
]);
return response()->json([
'message' => 'Answers updated successfully.',
'updated_rows' => $updatedCount
]);
}
}
Notice how this single line replaces the entire foreach loop. It delegates the iteration and updating logic to the database engine, which is significantly faster when dealing with large numbers of records. This principle of optimizing database interaction is fundamental to building robust applications, just as emphasized in best practices found on the Laravel Company website.
Method 2: Updating Based on a Relationship (The Eloquent Approach)
If your requirement is more complex—for instance, updating related models based on an array of parent IDs—you can leverage Eloquent’s relationship capabilities. While this doesn't directly address the specific structure in your example, understanding how to manage relationships for bulk operations is crucial when building complex data flows with Laravel.
For updates involving relationships, consider using Eloquent Collections to gather the necessary data before performing the final save operation. This approach keeps your business logic cleanly separated from raw SQL commands.
Conclusion
When faced with updating multiple rows in Laravel, always prioritize database efficiency over simple iteration. Instead of looping through an array and executing separate update() calls, leverage powerful Eloquent methods like whereIn() to consolidate your requests into a single, optimized database query. This ensures that your application remains fast, scalable, and adheres to the principles of efficient data handling championed by modern frameworks like Laravel.