We’ll cover:
Database Configuration: Setting up your database connection.
Introduction to Eloquent ORM: Laravel’s elegant object-relational mapper.
Models, Migrations, and Schema Builder: Structuring your database.
CRUD Operations with Eloquent: Creating, reading, updating, and deleting records.
Query Builder vs. Eloquent: Comparing Laravel’s database tools.
Relationships: Implementing one-to-one, one-to-many, and many-to-many relationships.
Soft Deletes & Timestamps: Managing data lifecycle with precision.
Each section includes detailed explanations, real-life scenarios, example code, pros and cons, alternatives, and best practices to ensure you gain a thorough understanding. Let’s get started!
1. Database Configuration
Overview
Before diving into Eloquent ORM, you need to configure your database connection. Laravel supports multiple database systems, including MySQL, PostgreSQL, SQLite, and SQL Server. Configuring your database correctly ensures your application can store and retrieve data seamlessly.
Real-Life Scenario
Imagine you’re building a freelance job platform where clients post projects and freelancers bid on them. You need a database to store user profiles, project details, and bids. Let’s configure a MySQL database for this platform.
Step-by-Step Guide
Install Database Software:
Install MySQL or PostgreSQL on your system or use a managed service like AWS RDS or DigitalOcean.
For local development, tools like XAMPP, MAMP, or Laravel Herd simplify setup.
Create a Database:
Access your database management tool (e.g., phpMyAdmin or command line).
Create a database named freelance_platform:
CREATE DATABASE freelance_platform;
Configure Laravel:
Open the .env file in your Laravel project root and update the database settings:
DB_CONNECTION=mysql DB_HOST=127.0.0.1 DB_PORT=3306 DB_DATABASE=freelance_platform DB_USERNAME=root DB_PASSWORD=your_password
Laravel uses these environment variables in config/database.php to establish a connection.
Test the Connection:
Run php artisan migrate to test the connection. If no errors occur, your database is configured correctly.
Example Code
To verify the connection programmatically, create a route to test it:
// routes/web.php
use Illuminate\Support\Facades\DB;
Route::get('/test-db', function () {
try {
DB::connection()->getPdo();
return "Database connection successful!";
} catch (\Exception $e) {
return "Connection failed: " . $e->getMessage();
}
});
Pros
Flexibility: Supports multiple database systems (MySQL, PostgreSQL, SQLite, etc.).
Environment-Based Configuration: .env file allows different settings for development, staging, and production.
Secure: Sensitive credentials are stored outside the codebase.
Cons
Initial Setup Complexity: Beginners may struggle with database software installation.
Environment Mismatch: Misconfigured .env files can cause connection issues in different environments.
Alternatives
SQLite: Lightweight, file-based database for small projects or testing.
MongoDB: Use with a package like jenssegers/laravel-mongodb for NoSQL databases.
Cloud Databases: Services like AWS RDS or Google Cloud SQL for managed solutions.
Best Practices
Use Environment Variables: Always store sensitive data in .env and avoid hardcoding.
Test Connections Early: Verify database connectivity before building models or migrations.
Secure Credentials: Ensure .env is not committed to version control (add to .gitignore).
Use Laravel Herd for Local Development: Simplifies database and server setup.
2. Introduction to Eloquent ORM
Overview
Eloquent ORM (Object-Relational Mapping) is Laravel’s elegant solution for interacting with databases. Each database table is mapped to a corresponding Model class, allowing you to work with database records as PHP objects.
Real-Life Scenario
For our freelance platform, you need to store and manage User, Project, and Bid data. Eloquent ORM simplifies this by letting you interact with these entities as objects, making code intuitive and maintainable.
Key Features
Models: Represent database tables as PHP classes.
Fluent Syntax: Chain methods for readable queries (e.g., User::where('role', 'freelancer')->get()).
Relationships: Define connections between tables (e.g., a Project belongs to a User).
CRUD Operations: Simplified methods for creating, reading, updating, and deleting records.
Example Code
Let’s create a User model to represent users in the users table:
// app/Models/User.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class User extends Model
{
protected $fillable = ['name', 'email', 'role'];
}
Query users with Eloquent:
// Fetch all freelancers
$freelancers = User::where('role', 'freelancer')->get();
// Fetch a single user by ID
$user = User::find(1);
Pros
Intuitive: Treats database records as objects, reducing SQL complexity.
Productivity: Simplifies common tasks like filtering, sorting, and pagination.
Maintainable: Encourages clean, object-oriented code.
Cons
Learning Curve: Beginners may find Eloquent’s conventions overwhelming.
Performance: Complex queries can be slower compared to raw SQL for large datasets.
Alternatives
Query Builder: Laravel’s fluent query builder for more control over SQL.
Raw SQL: Direct SQL queries for maximum performance.
Other ORMs: Doctrine (used in Symfony) or Propel for alternative PHP ORMs.
Best Practices
Follow Naming Conventions: Use singular model names (e.g., User for users table).
Use Mass Assignment Protection: Define $fillable or $guarded to prevent security issues.
Leverage Tinker: Use php artisan tinker to test Eloquent queries interactively.
3. Models, Migrations, and Schema Builder
Overview
Models define the structure and behavior of database tables, Migrations manage schema changes, and Schema Builder provides a database-agnostic way to define table structures.
Real-Life Scenario
For the freelance platform, you need tables for users, projects, and bids. Let’s create these using migrations and models.
Step-by-Step Guide
Generate a Model and Migration:
php artisan make:model Project -m
This creates a Project model and a migration file in database/migrations.
Define the Migration:
// database/migrations/2025_08_28_create_projects_table.php use Illuminate\Database\Migrations\Migration; use Illuminate\Database\Schema\Blueprint; use Illuminate\Support\Facades\Schema; class CreateProjectsTable extends Migration { public function up() { Schema::create('projects', function (Blueprint $table) { $table->id(); $table->string('title'); $table->text('description'); $table->decimal('budget', 8, 2); $table->foreignId('client_id')->constrained('users')->onDelete('cascade'); $table->timestamps(); }); } public function down() { Schema::dropIfExists('projects'); } }
Run Migrations:
php artisan migrate
Define the Model:
// app/Models/Project.php namespace App\Models; use Illuminate\Database\Eloquent\Model; class Project extends Model { protected $fillable = ['title', 'description', 'budget', 'client_id']; }
Example Code
Create a project:
$project = new Project();
$project->title = 'Website Development';
$project->description = 'Build a responsive website';
$project->budget = 1500.00;
$project->client_id = 1;
$project->save();
Pros
Version Control: Migrations allow schema versioning and rollback.
Database-Agnostic: Schema Builder works across supported databases.
Rapid Development: Artisan commands streamline model and migration creation.
Cons
Migration Conflicts: Team environments may face merge conflicts.
Complex Schema Changes: Altering existing tables can be tricky.
Alternatives
Manual SQL Scripts: Write raw SQL for schema changes.
Database GUI Tools: Use tools like phpMyAdmin for schema management.
Other Frameworks: Symfony’s Doctrine migrations for alternative PHP solutions.
Best Practices
Use Descriptive Migration Names: E.g., CreateProjectsTable instead of CreateTable.
Test Migrations: Run php artisan migrate:fresh in a test environment.
Define Relationships in Models: Set up relationships early to avoid refactoring.
4. CRUD Operations with Eloquent
Overview
CRUD (Create, Read, Update, Delete) operations are the backbone of most applications. Eloquent simplifies these tasks with intuitive methods.
Real-Life Scenario
In the freelance platform, clients create projects, freelancers view and bid on them, clients update project details, and admins delete spam projects.
Example Code
Create:
// Create a new project $project = Project::create([ 'title' => 'Mobile App Development', 'description' => 'Build an iOS and Android app', 'budget' => 5000.00, 'client_id' => 1, ]);
Read:
// Fetch all projects $projects = Project::all(); // Fetch a project by ID $project = Project::findOrFail(1); // Filter projects by budget $expensiveProjects = Project::where('budget', '>', 1000)->get();
Update:
// Update a project $project = Project::find(1); $project->budget = 6000.00; $project->save(); // Mass update Project::where('client_id', 1)->update(['status' => 'completed']);
Delete:
// Delete a project $project = Project::find(1); $project->delete(); // Delete multiple projects Project::where('status', 'spam')->delete();
Pros
Simplicity: Eloquent’s methods are concise and readable.
Error Handling: Methods like findOrFail throw exceptions for invalid IDs.
Mass Assignment: Simplifies bulk operations with create and update.
Cons
Performance Overhead: Eloquent queries may be slower than raw SQL for complex operations.
Mass Assignment Risks: Misconfigured $fillable can lead to security vulnerabilities.
Alternatives
Query Builder: More control over queries with similar syntax.
Raw SQL: For performance-critical operations.
Other ORMs: Doctrine for more robust ORM features.
Best Practices
Use findOrFail for Single Records: Prevents null errors.
Validate Input: Always validate data before CRUD operations.
Use Transactions: For critical operations to ensure data integrity:
DB::transaction(function () { $project = Project::create([...]); // Other operations });
5. Query Builder vs. Eloquent
Overview
Laravel offers two ways to interact with databases: Eloquent ORM and Query Builder. Query Builder provides a fluent interface for writing SQL-like queries without models.
Real-Life Scenario
For the freelance platform, you might use Query Builder for complex reporting (e.g., average project budget per client) and Eloquent for standard CRUD operations.
Example Code
Query Builder:
use Illuminate\Support\Facades\DB;
// Fetch average project budget per client
$averages = DB::table('projects')
->select('client_id', DB::raw('AVG(budget) as avg_budget'))
->groupBy('client_id')
->get();
Eloquent:
$projects = Project::where('client_id', 1)->get();
Comparison
Feature | Eloquent ORM | Query Builder |
---|---|---|
Syntax | Object-oriented, model-based | SQL-like, table-based |
Use Case | CRUD, relationships | Complex queries, reporting |
Performance | Slower for complex queries | Faster for raw SQL operations |
Readability | Highly readable | Moderately readable |
Relationships | Built-in support | Manual joins required |
Pros and Cons
Eloquent:
Pros: Simplifies relationships, CRUD, and model-based operations.
Cons: Can be slower for complex queries; abstraction hides SQL details.
Query Builder:
Pros: Lightweight, closer to raw SQL, better for complex joins.
Cons: Lacks relationship support, more verbose for simple tasks.
Alternatives
Raw SQL: For maximum control and performance.
Doctrine ORM: For advanced ORM features outside Laravel.
Best Practices
Use Eloquent for CRUD and Relationships: Simplifies code and maintenance.
Use Query Builder for Complex Queries: Ideal for reporting or non-model-based operations.
Profile Queries: Use tools like Laravel Debugbar to optimize performance.
6. Relationships (One-to-One, One-to-Many, Many-to-Many)
Overview
Eloquent’s relationship features allow you to define connections between models, such as one-to-one, one-to-many, and many-to-many relationships.
Real-Life Scenario
In the freelance platform:
One-to-One: A user has one profile.
One-to-Many: A client posts many projects.
Many-to-Many: Freelancers can bid on multiple projects, and projects can have multiple bids.
Example Code
One-to-One:
// app/Models/User.php class User extends Model { public function profile() { return $this->hasOne(Profile::class); } } // app/Models/Profile.php class Profile extends Model { public function user() { return $this->belongsTo(User::class); } } // Usage $user = User::find(1); $profile = $user->profile; // Fetch user’s profile
One-to-Many:
// app/Models/User.php class User extends Model { public function projects() { return $this->hasMany(Project::class, 'client_id'); } } // app/Models/Project.php class Project extends Model { public function client() { return $this->belongsTo(User::class, 'client_id'); } } // Usage $client = User::find(1); $projects = $client->projects; // Fetch all projects by the client
Many-to-Many:
// app/Models/Freelancer.php class Freelancer extends Model { public function projects() { return $this->belongsToMany(Project::class, 'bids') ->withPivot('amount', 'proposal'); } } // app/Models/Project.php class Project extends Model { public function freelancers() { return $this->belongsToMany(Freelancer::class, 'bids') ->withPivot('amount', 'proposal'); } } // Migration for pivot table Schema::create('bids', function (Blueprint $table) { $table->id(); $table->foreignId('freelancer_id')->constrained()->onDelete('cascade'); $table->foreignId('project_id')->constrained()->onDelete('cascade'); $table->decimal('amount', 8, 2); $table->text('proposal'); $table->timestamps(); }); // Usage $freelancer = Freelancer::find(1); $freelancer->projects()->attach($project->id, [ 'amount' => 1200.00, 'proposal' => 'I can deliver in 2 weeks.' ]);
Pros
Simplified Relationships: Eloquent handles complex joins automatically.
Eager Loading: Reduces N+1 query issues with with() method.
Pivot Data: Supports additional data in many-to-many relationships.
Cons
Performance: Eager loading is required to avoid N+1 query problems.
Complexity: Many-to-many relationships require pivot table management.
Alternatives
Query Builder Joins: Manual joins for custom relationships.
NoSQL Databases: MongoDB for flexible relationships without rigid schemas.
Other ORMs: Doctrine for advanced relationship features.
Best Practices
Use Eager Loading: Prevent N+1 issues with with():
$projects = Project::with('client')->get();
Define Inverse Relationships: Always define both sides of a relationship (e.g., hasMany and belongsTo).
Use Pivot Tables Correctly: Include necessary columns and timestamps in pivot tables.
7. Soft Deletes & Timestamps
Overview
Soft Deletes allow you to “delete” records without removing them from the database, marking them as deleted instead. Timestamps automatically track creation and update times.
Real-Life Scenario
In the freelance platform, you want to allow admins to “delete” projects without permanently removing them, enabling restoration if needed. Timestamps track when projects are created or updated.
Example Code
Enable Soft Deletes:
// app/Models/Project.php namespace App\Models; use Illuminate\Database\Eloquent\Model; use Illuminate\Database\Eloquent\SoftDeletes; class Project extends Model { use SoftDeletes; protected $fillable = ['title', 'description', 'budget', 'client_id']; }
Add deleted_at column to the migration:
Schema::create('projects', function (Blueprint $table) { $table->id(); $table->string('title'); $table->text('description'); $table->decimal('budget', 8, 2); $table->foreignId('client_id')->constrained()->onDelete('cascade'); $table->timestamps(); $table->softDeletes(); });
Soft Delete a Project:
$project = Project::find(1); $project->delete(); // Sets deleted_at timestamp
Query Soft-Deleted Records:
// Include soft-deleted records $projects = Project::withTrashed()->get(); // Only soft-deleted records $trashedProjects = Project::onlyTrashed()->get(); // Restore a soft-deleted record Project::onlyTrashed()->find(1)->restore();
Timestamps: Eloquent automatically manages created_at and updated_at columns unless disabled:
class Project extends Model { public $timestamps = false; // Disable timestamps }
Pros
Soft Deletes: Prevents data loss and allows easy restoration.
Timestamps: Automatic tracking of record lifecycle.
Query Scopes: Simplifies working with soft-deleted records.
Cons
Storage Overhead: Soft-deleted records increase database size.
Complexity: Requires additional logic to handle soft-deleted data.
Alternatives
Hard Deletes: Permanently remove records (not recommended for critical data).
Custom Deletion Logic: Use a status column (e.g., is_active) instead of soft deletes.
Audit Tables: Store deleted records in a separate table.
Best Practices
Use Soft Deletes for Critical Data: Prevent accidental data loss.
Clean Up Soft-Deleted Records: Periodically prune old records:
Project::onlyTrashed()->where('deleted_at', '<', now()->subDays(30))->forceDelete();
Include Timestamps: Always use created_at and updated_at unless unnecessary.
Conclusion
Module 4 of the Laravel 12 Core Complete Course has equipped you with the skills to master database operations using Eloquent ORM. From configuring databases to implementing complex relationships and managing soft deletes, you’re now ready to build robust, real-world applications like our freelance platform. The examples, pros and cons, alternatives, and best practices provided ensure you can apply these concepts effectively, whether you’re a beginner or an advanced developer.
Stay tuned for the next module, where we’ll explore advanced Laravel features like middleware, authentication, and API development. Happy coding!
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Md. Mominul Islam