We’ll cover:
Advanced Eloquent Relationships: Handling complex relationships like polymorphic and many-to-many.
Eager and Lazy Loading: Optimizing database queries for performance.
Aggregates and Collections: Summarizing data and manipulating results efficiently.
Query Scopes and Accessors/Mutators: Simplifying queries and customizing data presentation.
Database Transactions and Raw Queries: Ensuring data integrity and handling complex queries.
Each section includes practical examples, pros, cons, alternatives, best practices, and standards, ensuring you understand both the "how" and "why" behind each technique. Let’s embark on this journey to master Advanced Eloquent and Querying!
Table of Contents
Advanced Eloquent Relationships
One-to-One, One-to-Many, Many-to-Many
Polymorphic Relationships
Real-World Example: Blog Platform with Comments and Tags
Pros, Cons, Alternatives, and Best Practices
Eager Loading & Lazy Loading
Understanding N+1 Query Problem
Eager vs. Lazy Loading
Real-World Example: E-commerce Product Categories
Pros, Cons, Alternatives, and Best Practices
Aggregates & Collections
Aggregate Functions (count, sum, avg, etc.)
Working with Eloquent Collections
Real-World Example: Sales Dashboard
Pros, Cons, Alternatives, and Best Practices
Query Scopes & Accessors/Mutators
Local and Global Query Scopes
Accessors and Mutators for Data Transformation
Real-World Example: Task Management System
Pros, Cons, Alternatives, and Best Practices
Database Transactions & Raw Queries
Managing Transactions for Data Integrity
Writing Raw SQL Queries in Laravel
Real-World Example: Financial Transaction System
Pros, Cons, Alternatives, and Best Practices
Conclusion
Further Reading and Resources
Advanced Eloquent Relationships
Overview
Eloquent relationships allow you to define how models interact with each other, mirroring real-world relationships like users owning posts or products belonging to categories. Advanced relationships include one-to-one, one-to-many, many-to-many, and polymorphic relationships, enabling complex data structures.
Types of Relationships
One-to-One: A single record is associated with another single record (e.g., a user has one profile).
One-to-Many: A single record is associated with multiple records (e.g., a user has many posts).
Many-to-Many: Multiple records are associated with multiple records (e.g., posts and tags).
Polymorphic Relationships: A model can belong to multiple other models on a single association (e.g., comments on posts and videos).
Real-World Example: Blog Platform
Let’s build a blog platform where:
Users have one profile (one-to-one).
Users create multiple posts (one-to-many).
Posts have multiple tags (many-to-many).
Comments can belong to posts or videos (polymorphic).
Code Example: Setting Up Models
// app/Models/User.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class User extends Model {
public function profile() {
return $this->hasOne(Profile::class);
}
public function posts() {
return $this->hasMany(Post::class);
}
}
// app/Models/Profile.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class Profile extends Model {
public function user() {
return $this->belongsTo(User::class);
}
}
// app/Models/Post.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class Post extends Model {
public function user() {
return $this->belongsTo(User::class);
}
public function tags() {
return $this->belongsToMany(Tag::class);
}
public function comments() {
return $this->morphMany(Comment::class, 'commentable');
}
}
// app/Models/Tag.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class Tag extends Model {
public function posts() {
return $this->belongsToMany(Post::class);
}
}
// app/Models/Comment.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class Comment extends Model {
public function commentable() {
return $this->morphTo();
}
}
Database Migrations
// database/migrations/2025_08_28_create_profiles_table.php
Schema::create('profiles', function (Blueprint $table) {
$table->id();
$table->foreignId('user_id')->constrained()->onDelete('cascade');
$table->string('bio');
$table->timestamps();
});
// database/migrations/2025_08_28_create_posts_table.php
Schema::create('posts', function (Blueprint $table) {
$table->id();
$table->foreignId('user_id')->constrained()->onDelete('cascade');
$table->string('title');
$table->text('content');
$table->timestamps();
});
// database/migrations/2025_08_28_create_tags_table.php
Schema::create('tags', function (Blueprint $table) {
$table->id();
$table->string('name');
$table->timestamps();
});
// database/migrations/2025_08_28_create_post_tag_table.php
Schema::create('post_tag', function (Blueprint $table) {
$table->foreignId('post_id')->constrained()->onDelete('cascade');
$table->foreignId('tag_id')->constrained()->onDelete('cascade');
$table->primary(['post_id', 'tag_id']);
});
// database/migrations/2025_08_28_create_comments_table.php
Schema::create('comments', function (Blueprint $table) {
$table->id();
$table->morphs('commentable');
$table->text('body');
$table->timestamps();
});
Using Relationships
// app/Http/Controllers/PostController.php
namespace App\Http\Controllers;
use App\Models\Post;
use App\Models\User;
class PostController extends Controller {
public function show($id) {
$post = Post::findOrFail($id);
$user = $post->user;
$tags = $post->tags;
$comments = $post->comments;
return view('posts.show', compact('post', 'user', 'tags', 'comments'));
}
public function createComment(Request $request, $postId) {
$post = Post::findOrFail($postId);
$post->comments()->create(['body' => $request->body]);
return redirect()->back();
}
}
Pros
Simplicity: Eloquent relationships abstract complex SQL joins into intuitive methods.
Reusability: Define relationships once, use them across the application.
Polymorphic Flexibility: Handle dynamic relationships with ease.
Cons
Learning Curve: Polymorphic relationships can be complex for beginners.
Performance: Improper use can lead to N+1 query issues (addressed in the next section).
Alternatives
Raw SQL Joins: Write custom SQL for specific use cases, but less maintainable.
Other ORMs: Doctrine or Propel, though less integrated with Laravel.
Best Practices
Use foreign keys with constrained() and onDelete('cascade') for referential integrity.
Define inverse relationships (e.g., belongsTo for hasMany) for bidirectional access.
Use meaningful method names for clarity (e.g., posts instead of getPosts).
Eager Loading & Lazy Loading
Overview
Eloquent’s default behavior is lazy loading, where related data is fetched only when accessed, potentially causing the N+1 query problem. Eager loading fetches related data upfront, optimizing performance.
N+1 Query Problem
Fetching 10 posts and their authors with lazy loading results in 1 query for posts + 10 queries for authors (11 queries total). Eager loading reduces this to 2 queries.
Real-World Example: E-commerce Product Categories
In an e-commerce app, products belong to categories, and categories have subcategories. We’ll optimize queries to display products with their categories.
Code Example: Lazy vs. Eager Loading
// app/Models/Product.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class Product extends Model {
public function category() {
return $this->belongsTo(Category::class);
}
}
// app/Models/Category.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class Category extends Model {
public function products() {
return $this->hasMany(Product::class);
}
public function subcategories() {
return $this->hasMany(Subcategory::class);
}
}
// app/Http/Controllers/ProductController.php
namespace App\Http\Controllers;
use App\Models\Product;
class ProductController extends Controller {
public function index() {
// Lazy Loading (N+1 issue)
$products = Product::all();
foreach ($products as $product) {
echo $product->category->name; // Triggers a query per product
}
// Eager Loading
$products = Product::with('category.subcategories')->get();
return view('products.index', compact('products'));
}
}
Pros
Eager Loading: Reduces query count, improving performance.
Lazy Loading: Simple for small datasets or one-off queries.
Cons
Eager Loading: Can fetch unnecessary data if not scoped properly.
Lazy Loading: Performance degrades with large datasets due to N+1.
Alternatives
Query Builder Joins: Use join() for specific queries, but less readable.
Caching: Cache relationships to avoid repeated queries (covered later).
Best Practices
Always use with() for predictable relationships.
Use load() for lazy eager loading when relationships are needed conditionally.
Monitor queries with tools like Laravel Debugbar to identify N+1 issues.
Aggregates & Collections
Overview
Aggregates (e.g., count, sum, avg) summarize data, while Eloquent collections provide powerful methods to manipulate result sets.
Real-World Example: Sales Dashboard
For an e-commerce dashboard, calculate total sales, average order value, and top-selling products.
Code Example: Aggregates and Collections
// app/Models/Order.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
class Order extends Model {
public function items() {
return $this->hasMany(OrderItem::class);
}
}
// app/Http/Controllers/DashboardController.php
namespace App\Http\Controllers;
use App\Models\Order;
use App\Models\Product;
class DashboardController extends Controller {
public function index() {
// Aggregates
$totalSales = Order::sum('total');
$avgOrderValue = Order::avg('total');
$orderCount = Order::count();
// Collections
$topProducts = OrderItem::with('product')
->get()
->groupBy('product_id')
->map(function ($items) {
return [
'product' => $items->first()->product,
'total_quantity' => $items->sum('quantity'),
];
})
->sortByDesc('total_quantity')
->take(5);
return view('dashboard.index', compact('totalSales', 'avgOrderValue', 'orderCount', 'topProducts'));
}
}
Pros
Aggregates: Fast for summarizing large datasets.
Collections: Chainable methods for flexible data manipulation.
Cons
Aggregates: Limited to basic operations; complex logic requires collections.
Collections: Memory-intensive for large datasets.
Alternatives
Raw SQL Aggregates: Use DB::raw() for custom aggregates, but less maintainable.
Custom Queries: Write specific queries for complex aggregations.
Best Practices
Use aggregates for simple summaries to reduce memory usage.
Leverage collection methods like map, filter, and groupBy for complex transformations.
Cache results for frequently accessed dashboards.
Query Scopes & Accessors/Mutators
Overview
Query scopes simplify common queries, while accessors and mutators transform data during retrieval or storage.
Real-World Example: Task Management System
In a task management app, filter tasks by status and format due dates.
Code Example: Query Scopes and Accessors/Mutators
// app/Models/Task.php
namespace App\Models;
use Illuminate\Database\Eloquent\Model;
use Carbon\Carbon;
class Task extends Model {
// Local Scope
public function scopeActive($query) {
return $query->where('status', 'active');
}
// Global Scope
protected static function booted() {
static::addGlobalScope('not_deleted', function ($query) {
$query->where('deleted_at', null);
});
}
// Accessor
public function getDueDateAttribute($value) {
return Carbon::parse($value)->format('d M Y');
}
// Mutator
public function setDueDateAttribute($value) {
$this->attributes['due_date'] = Carbon::parse($value)->format('Y-m-d');
}
}
// app/Http/Controllers/TaskController.php
namespace App\Http\Controllers;
use App\Models\Task;
class TaskController extends Controller {
public function index() {
$activeTasks = Task::active()->get();
return view('tasks.index', compact('activeTasks'));
}
}
Pros
Query Scopes: Reusable query logic improves code readability.
Accessors/Mutators: Simplify data formatting without extra logic.
Cons
Query Scopes: Overuse can lead to complex model files.
Accessors/Mutators: Can obscure data transformations if not documented.
Alternatives
Repository Pattern: Move query logic to repository classes for better organization.
Custom Transformers: Use API resources for data formatting in APIs.
Best Practices
Name scopes clearly (e.g., scopeActive for active tasks).
Use global scopes sparingly to avoid unexpected query modifications.
Document accessors/mutators to clarify their purpose.
Database Transactions & Raw Queries
Overview
Transactions ensure data integrity for multiple database operations, while raw queries allow custom SQL when Eloquent falls short.
Real-World Example: Financial Transaction System
In a banking app, transfer funds between accounts atomically.
Code Example: Transactions and Raw Queries
// app/Http/Controllers/TransferController.php
namespace App\Http\Controllers;
use App\Models\Account;
use Illuminate\Support\Facades\DB;
class TransferController extends Controller {
public function transfer(Request $request) {
$fromAccount = Account::findOrFail($request->from_account_id);
$toAccount = Account::findOrFail($request->to_account_id);
$amount = $request->amount;
DB::transaction(function () use ($fromAccount, $toAccount, $amount) {
$fromAccount->balance -= $amount;
$toAccount->balance += $amount;
$fromAccount->save();
$toAccount->save();
// Log transaction using raw query
DB::statement('INSERT INTO transaction_logs (from_account_id, to_account_id, amount, created_at) VALUES (?, ?, ?, ?)', [
$fromAccount->id,
$toAccount->id,
$amount,
now()
]);
});
return redirect()->route('accounts.index')->with('success', 'Transfer completed.');
}
}
Pros
Transactions: Ensure atomic operations, preventing partial updates.
Raw Queries: Offer flexibility for complex queries not supported by Eloquent.
Cons
Transactions: Can lock tables, impacting performance in high-concurrency systems.
Raw Queries: Prone to SQL injection if not parameterized; less portable across databases.
Alternatives
Eloquent Methods: Use Eloquent where possible for portability and readability.
Stored Procedures: Offload complex logic to the database, but harder to maintain.
Best Practices
Always use DB::transaction() for operations requiring atomicity.
Parameterize raw queries to prevent SQL injection.
Log transaction failures for debugging and auditing.
Conclusion
Module 8 of the Laravel Core Complete Course has equipped you with advanced Eloquent and querying techniques to build sophisticated web applications. From managing complex relationships to optimizing queries with eager loading, summarizing data with aggregates, simplifying queries with scopes, and ensuring data integrity with transactions, you’re now ready to tackle real-world challenges. Apply these skills to your projects, follow best practices, and continue exploring Laravel’s ecosystem to become a proficient developer.
Further Reading and Resources
Laravel Documentation: Eloquent ORM
Laracasts: Eloquent Techniques
Book: "Laravel: Up & Running" by Matt Stauffer
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Md. Mominul Islam