How to Check Query Execution Time in Laravel?


To check the execution time of a query in Laravel, you can make use of Laravel’s built-in query logging and timing features. Here’s how you can do it:

Enable Query Logging:

By default, Laravel logs all queries executed during a request. To enable query logging, you can add the following line to the boot() method of your AppServiceProvider class or any other service provider:

use Illuminate\Support\Facades\DB;

// ...

public function boot()
{
    DB::connection()->enableQueryLog();
}

Execute Your Query:

Run the query you want to measure the execution time for using Laravel’s query builder or Eloquent ORM. For example:

$users = DB::table('users')->get();

Retrieve Query Execution Time:

After executing the query, you can retrieve the query execution time by accessing the query log and calculating the time difference. You can place the following code after executing the query:

$queryLog = DB::getQueryLog();
$lastQuery = end($queryLog);
$executionTime = $lastQuery['time'];

The $executionTime variable will contain the execution time of the last executed query in milliseconds.

Display or Log the Execution Time:

You can display the execution time on the page or log it to the Laravel log file for further analysis. For example:

UserController.php

<?php
     
namespace App\Http\Controllers;
   
use Illuminate\Http\Request;
use App\Models\User;
    
class UserController extends Controller
{
    /**
     * Display a listing of the resource.
     *
     * @return \Illuminate\Http\Response
     */
    public function index(Request $request)
    {
        $startTime = microtime(true);
      
        $users = User::get();
    
        $endTime = microtime(true);   
        $executionTime = $endTime - $startTime;
        dd("Query took " . $executionTime . " seconds to execute.");
    }
}

Output:

Query took 0.0032229423555949 seconds to execute.

Related Posts

Site Reliability Engineering: Key Concepts, Tools, and Best Practices

Introduction Imagine your favorite video game crashes during a match. You feel annoyed because the game stopped working. Websites face this exact problem every single day. Millions…

Read More

The Future of Computer Operations: How Smart Systems Fix Problems

Every day, millions of people tap smartphone screens to navigate morning traffic, order groceries to their doorsteps, and transfer money between bank accounts in seconds. Behind every…

Read More

How DataOps Improves Alert Accuracy with AI Tools

Data pipelines run constantly to deliver numbers, reports, and dashboards. When something breaks, monitoring systems send alerts to data engineers. But when these notifications ring every ten…

Read More

Core Engineering Skills Needed to Master Data Pipeline Automation Systems

Introduction Imagine building a giant LEGO castle, but someone keeps swapping out your plastic bricks for blocks of melting ice. That is what working with raw digital…

Read More

Continuous Data Validation in DataOps: The Complete Architecture Guide

Continuous data validation is the systematic practice of asserting data correctness, schema consistency, and distribution integrity across every state boundary of an enterprise data pipeline. In DataOps,…

Read More

Implementing XOps: Key Pillars, Common Challenges, and Real-World Solutions

Introduction Modern engineering teams rarely run on pure application code alone. Enterprise software delivery now relies on distributed microservices, complex telemetry pipelines, machine learning inference engines, high-throughput…

Read More
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x