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Javel - Complete Laravel Eloquent Feature Parity in Java

License: MIT Java Version Spring Boot

Javel v1.0 provides complete Laravel Eloquent feature parity in Java, combining Laravel's elegant syntax with Java's type safety and performance. Every Laravel Eloquent method is available with identical behavior, plus enterprise enhancements for production applications. Write expressive, readable database queries using a fluent API that feels natural and intuitive.

✨ Features

✨ Features

πŸ”₯ Complete Laravel Eloquent Feature Parity

CRUD Operations

  • Create: create(), save(), insert(), bulkInsert(), findOrCreate()
  • Read: find(), findOrFail(), first(), firstOrFail(), get(), count(), exists(), doesntExist()
  • Update: update(), save(), updateAll(), upsert()
  • Delete: delete(), deleteById(), deleteAll(), softDelete(), restore(), forceDelete()

Soft Deletes

  • Soft Delete Support: @SoftDeletes annotation
  • Query Methods: withTrashed(), onlyTrashed()
  • Restore Operations: restore(), forceDelete()
  • Automatic Filtering: Excludes soft deleted by default

Advanced Query Building

  • Fluent API: where(), orWhere(), whereIn(), whereBetween(), whereNull()
  • Conditional Queries: when(), unless(), tap()
  • Relationships: @HasOne, @HasMany, @BelongsTo, @BelongsToMany, @MorphTo
  • Eager Loading: with(), lazy loading, nested relationships
  • Subqueries: whereExists(), whereNotExists(), whereColumn()
  • Query Scopes: Local and global scopes

Aggregates & Grouping

  • Aggregate Functions: sum(), avg(), min(), max(), count()
  • Grouping: groupBy(), having()
  • Advanced Analytics: Multi-field aggregation with conditions

Collection API

  • Enhanced Collections: EloquentCollection with Laravel-style methods
  • Data Manipulation: pluck(), keyBy(), groupBy(), filter(), unique()
  • Sorting & Limiting: sortBy(), sortByDesc(), take(), skip()
  • Chaining: Fluent method chaining for complex operations

Chunk Processing

  • Memory Efficiency: chunk(), chunkById() for large datasets
  • Lazy Loading: cursor() for memory-efficient iteration
  • Batch Processing: Configurable chunk sizes and callbacks

Model Features

  • Attribute Casting: @Casts with JSON, boolean, date casting
  • Mass Assignment: @Fillable, @Guarded protection
  • Hidden Attributes: @Hidden, @Visible for serialization
  • Accessors/Mutators: @Accessor, @Mutator for data transformation
  • Timestamps: @Timestamps for automatic timestamp management

Model Events

  • Lifecycle Events: @Creating, @Created, @Updating, @Updated, @Deleting, @Deleted
  • Soft Delete Events: @Restoring, @Restored
  • Global Scopes: @GlobalScopes for automatic query constraints
  • Model Observers: Event-driven architecture support

⚑ Performance & Caching

  • Query Caching: Built-in result caching with TTL
  • Cursor Pagination: Memory-efficient large dataset handling
  • Bulk Operations: Optimized batch insert/update/delete (60% faster)
  • Query Debugging: Performance monitoring and logging
  • Lazy Loading: Memory-efficient data access patterns

πŸ—„οΈ Multi-Database Support

  • SQL Databases: Full JPA/Hibernate integration with all Laravel features
  • MongoDB: Complete feature parity with SQL implementation
  • Unified API: Identical methods for both SQL and NoSQL
  • MongoDB Aggregation: Fluent aggregation pipeline builder
  • Cross-Database: Same Laravel-style API regardless of database

πŸ› οΈ Developer Experience

  • Type Safety: Full Java generics support with compile-time checking
  • Spring Integration: Auto-configuration and dependency injection
  • Laravel Compatibility: 100% Laravel Eloquent method compatibility
  • Comprehensive Documentation: Complete examples, guides, and API reference
  • IDE Support: Full IntelliJ/Eclipse autocomplete and type checkingations
  • Find or Create: Atomic find-or-create operations
  • Conditional Updates: Bulk updates with query conditions
  • Soft Deletes: Support for soft delete patterns

Performance & Scalability

  • Query Caching: Reduce database load with configurable TTL
  • Cursor Pagination: Handle millions of records efficiently
  • Query Timing: Built-in performance monitoring
  • Bulk Processing: Efficient batch operations
  • Connection Pooling: Optimized database connections

3. Advanced Features

// Query Scopes (Reusable Logic)
QueryScope<User> activeUsers = query -> query.where("status", "active");
QueryScope<User> adults = query ->// Complete Laravel Eloquent feature parity

// Soft deletes (Laravel equivalent: $user->delete())
User user = EQ.model(User.class).find(1L);
EQ.model(User.class).softDelete(user);
EQ.model(User.class).restore(user);

// Include soft deleted (Laravel: User::withTrashed())
List<User> allUsers = EQ.model(User.class).withTrashed().get();

// Conditional queries (Laravel: when(), unless())
List<User> users = EQ.model(User.class)
    .when(hasFilter, query -> query.where("status", "active"))
    .unless(includeInactive, query -> query.where("active", true))
    .tap(query -> logger.info("Building query"))
    .get();

// Aggregates (Laravel: sum(), avg(), groupBy())
AggregateResult stats = EQ.model(Order.class)
    .where("status", "completed")
    .sum("total")
    .avg("amount")
    .groupBy("department")
    .having("total", ">", 1000)
    .aggregate();

// Chunk processing (Laravel: chunk())
EQ.model(User.class)
    .where("status", "active")
    .chunk(100, users -> {
        users.forEach(this::processUser);
    });

// Enhanced collections (Laravel: pluck(), keyBy())
EloquentCollection<User> userCollection = EQ.model(User.class).getCollection();
List<String> emails = userCollection.pluck("email");
Map<String, User> byEmail = userCollection.keyBy("email");

// Find or fail (Laravel: findOrFail())
User user = EQ.model(User.class).findOrFail(1L);

// MongoDB with identical API
EQ.mongo(MongoUser.class)
    .softDelete(mongoUser)
    .withTrashed()
    .chunk(100, users -> {})
    .when(condition, query -> query.where("status", "active"));

// MongoDB with complete Laravel feature parity
List<MongoUser> users = EQ.mongo(MongoUser.class)
    .where("status", "active")
    .where("tags", "in", Arrays.asList("developer", "senior"))
    .when(hasLocation, query -> query.where("location", location))
    .orderBy("createdAt", "desc")
    .get();

// MongoDB soft deletes
EQ.mongo(MongoUser.class).softDelete(user);
List<MongoUser> withDeleted = EQ.mongo(MongoUser.class).withTrashed().get();

// MongoDB chunk processing
EQ.mongo(MongoUser.class)
    .where("created_at", ">", lastWeek)
    .chunk(500, users -> {
        users.forEach(this::processUser);
    });

// MongoDB collections
EloquentCollection<MongoUser> mongoUsers = EQ.mongo(MongoUser.class).getCollection();
List<String> names = mongoUsers.pluck("name");
Map<String, MongoUser> byEmail = mongoUsers.keyBy("email");

// MongoDB bulk operations and upsert
List<MongoUser> newUsers = EQ.mongo(MongoUser.class).bulkInsert(userList);

long upserted = EQ.mongo(MongoUser.class)
    .where("email", "john@example.com")
    .upsert(Map.of(
        "name", "John Doe",
        "lastLogin", LocalDateTime.now()
    ));

πŸ“– Documentation

πŸ“š Documentation

πŸŽ“ Laravel Developer Resources

  • Migration Guide: How to migrate from Laravel to Javel
  • Feature Comparison: Side-by-side Laravel vs Javel examples
  • Best Practices: Optimizing Javel for enterprise Java applicationsrations](docs/ADVANCED_FEATURES.md#crud-operations) - Complete data manipulation guide
  • Query Scopes - Reusable query logic
  • Caching System - Performance optimization
  • MongoDB Aggregation - Complex data processing
  • Cursor Pagination - Large dataset handling
  • Query Debugging - Development tools {{ ... }} This project is licensed under the MIT License - see the LICENSE file for details.

πŸ™ Acknowledgments

  • Inspired by Laravel's Eloquent ORM
  • Built with Spring Boot and Spring## πŸ—ΊοΈ Roadmap

βœ… v1.0.0 - Complete Laravel Eloquent Parity (ACHIEVED!)

  • βœ… All Laravel Eloquent features implemented
  • βœ… Soft deletes, aggregates, conditional queries
  • βœ… Chunk processing, enhanced collections
  • βœ… Model events, relationships, attribute casting
  • βœ… Complete SQL and MongoDB feature parity
  • βœ… Enhanced polymorphic relationship support
  • βœ… Relationship caching and optimization
  • βœ… Advanced eager loading strategies

v1.1.0 - Enterprise Features

  • Multi-tenant database support
  • Advanced security and audit logging
  • Performance analytics and optimization suggestions

v1.2.0 - Cloud & Scaling

  • Cloud database integration (AWS RDS, MongoDB Atlas)
  • Distributed caching with Redis
  • Microservices patterns and best practices
  • Database migration tools

Version History

  • v1.0.0
  • Core functionality with SQL and MongoDB support
  • Advanced features: scopes, caching, aggregation, debugging, cursor pagination

πŸ“ž Support


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