05 - Detect and Prevent N+1 Query: With Package or Laravel 8.43+
We found 14 results for "n+1 query".
The N+1 query problem is, from my experience, the number one reason for performance issues in Laravel applications. It occurs when developers unintentionally run too many SQL queries under the hood, particularly when not properly loading relationships
When it comes to the performance of the Laravel application, by far the no.1 problem I've seen is the database. DB Structure, Eloquent/SQL queries, and configuration - they all may cause many issues, so in this article, I've tried to compile "the ultimate guide" of what you need to know.
The performance of our applications is one of the top things we should care about. Inefficient Eloquent or DB queries are probably no.1 reason for bad performance. In this tutorial, I will show you the top 3 mistakes developers make when it comes to Eloquent performance, and how to fix them.
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We recently noticed a performance issue with Laravel Daily website: the list of courses was loading too slowly. So, this article will be a story of how we fixed the N+1 query problem.
This video is a 4-in-1 lesson from my course "Eloquent: Expert Level" about N+1 Query Problem.
An example of query optimization using withCount vs join, also adding cache on top.
Laravel has a mechanism to catch the lazy loading, but let me show you one caveat on how it works, and how to PROPERLY enable it.
The Laravel N+1 query detector helps you to increase your application's performance by reducing the number of queries it executes.
It seems like some people didn't understand how new Laravel 12.8 `automaticallyEagerLoadRelationships()` method works. Let me show what it loads and what it doesn't load.
A new feature in Laravel 8.43 allows you to automatically detect the so-called "N+1 Queries" problem with lazy loading in Eloquent, and throw an exception when that happens.
A new feature in the framework, announced by Taylor at Laracon US.
A thing I've encountered myself, as an N+1 query problem sometimes isn't that obvious on the surface.
We have all seen cases where our performance was slow due to a random N+1 query. How to detect them in a LIVE application, when it's already out? And, even better, how to automatically log such cases in a tool like Bugsnag? Let me show you.