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Entity Framework

Giriş

Entity Framework, .NET ekosisteminde object-relational mapping (ORM) sağlayan güçlü bir framework'tir. Mid-level geliştiriciler için Entity Framework'ün advanced özelliklerini anlamak, performanslı ve ölçeklenebilir veritabanı uygulamaları geliştirmek için kritik öneme sahiptir. Bu bölüm, performance optimization, advanced querying, change tracking, bulk operations, concurrency, raw SQL, interceptors, value objects, complex types, shadow properties, global query filters, database functions, custom migrations ve multiple databases konularını kapsar.

Kapsanan Konular

1. Performance Optimization

Entity Framework'te performans optimizasyonu teknikleri, query optimization, lazy loading vs eager loading, ve memory management.

Öğrenilecekler: - Query optimization strategies - Lazy vs Eager loading - Memory usage optimization - Connection pooling - Query plan analysis

2. Advanced Querying

Complex LINQ queries, raw SQL integration, stored procedures, ve custom query methods.

Öğrenilecekler: - Complex LINQ operations - Raw SQL execution - Stored procedure calls - Dynamic query building - Query composition

3. Change Tracking

Entity state management, change detection, ve change tracking optimization.

Öğrenilecekler: - Entity states (Added, Modified, Deleted, Unchanged) - Change tracking strategies - Performance optimization - Bulk change operations - Change notification

4. Bulk Operations

Large dataset operations, batch processing, ve bulk insert/update/delete operations.

Öğrenilecekler: - Bulk insert strategies - Batch processing - Performance optimization - Memory management - Transaction handling

5. Concurrency

Optimistic ve pessimistic concurrency control, conflict resolution, ve concurrency handling.

Öğrenilecekler: - Optimistic concurrency - Pessimistic concurrency - Conflict detection - Resolution strategies - Performance implications

6. Raw SQL

Native SQL execution, parameterized queries, ve SQL injection prevention.

Öğrenilecekler: - FromSqlRaw usage - ExecuteSqlRaw - Parameter handling - Security considerations - Performance benefits

7. Interceptors

Query interception, modification, ve custom behavior injection.

Öğrenilecekler: - Query interceptors - SaveChanges interceptors - Custom behavior injection - Logging and auditing - Performance monitoring

8. Value Objects

Immutable value objects, complex types, ve domain modeling.

Öğrenilecekler: - Value object design - Complex type mapping - Immutability patterns - Domain modeling - Performance considerations

9. Complex Types

Complex property mapping, nested objects, ve custom type handling.

Öğrenilecekler: - Complex type configuration - Nested object mapping - Custom type converters - Serialization handling - Performance optimization

10. Shadow Properties

Database-only properties, computed columns, ve metadata management.

Öğrenilecekler: - Shadow property usage - Computed column mapping - Metadata management - Performance implications - Use case scenarios

11. Global Query Filters

Application-wide query filtering, soft delete, ve multi-tenancy support.

Öğrenilecekler: - Global filter configuration - Soft delete implementation - Multi-tenancy support - Performance considerations - Filter management

12. Database Functions

Custom database functions, user-defined functions, ve function mapping.

Öğrenilecekler: - Database function mapping - Custom function creation - Parameter handling - Return type mapping - Performance optimization

13. Custom Migrations

Advanced migration scenarios, custom migration logic, ve complex schema changes.

Öğrenilecekler: - Custom migration classes - Complex schema changes - Data migration - Rollback strategies - Testing migrations

14. Multiple Databases

Multi-database scenarios, database switching, ve cross-database operations.

Öğrenilecekler: - Multi-database configuration - Database switching - Cross-database queries - Transaction management - Performance considerations

15. Distributed Transactions

Cross-database transactions, distributed transaction coordination, ve consistency management.

Öğrenilecekler: - Distributed transaction patterns - Two-phase commit - Saga pattern integration - Consistency guarantees - Performance implications

Neden Önemli?

1. Performance Critical Applications

  • High-traffic web applications
  • Data-intensive systems
  • Real-time data processing
  • Enterprise applications

2. Scalability Requirements

  • Large dataset handling
  • Multi-tenant architectures
  • Distributed systems
  • Cloud-native applications

3. Data Integrity

  • Complex business rules
  • Audit trail requirements
  • Compliance requirements
  • Data consistency

4. Developer Productivity

  • Rapid development
  • Code maintainability
  • Testing strategies
  • Deployment automation

Mülakat Soruları

Temel Sorular

  1. Entity Framework'te N+1 problem nedir?

  2. Cevap: Multiple database queries, Include statements, eager loading strategies.

  3. Change tracking nasıl çalışır?

  4. Cevap: Entity state management, change detection, snapshot comparison.

  5. Bulk operations ne zaman kullanılır?

  6. Cevap: Large datasets, performance requirements, batch processing.

  7. Concurrency conflict nasıl çözülür?

  8. Cevap: Optimistic concurrency, conflict detection, resolution strategies.

  9. Raw SQL ne zaman kullanılır?

  10. Cevap: Complex queries, performance requirements, stored procedures.

Teknik Sorular

  1. Query performance nasıl optimize edilir?

  2. Cevap: Indexing, query optimization, lazy loading, projection.

  3. Global query filters nasıl implement edilir?

  4. Cevap: HasQueryFilter, soft delete, multi-tenancy.

  5. Custom migrations nasıl oluşturulur?

  6. Cevap: Migration class inheritance, custom logic, data migration.

  7. Multiple databases nasıl yönetilir?

  8. Cevap: DbContext configuration, connection strings, database switching.

  9. Distributed transactions nasıl handle edilir?

  10. Cevap: Two-phase commit, saga pattern, eventual consistency.

Best Practices

1. Performance Optimization

  • Use appropriate loading strategies
  • Implement query optimization
  • Monitor performance metrics
  • Use connection pooling
  • Implement caching strategies

2. Data Modeling

  • Design efficient entity relationships
  • Use appropriate data types
  • Implement proper indexing
  • Consider denormalization
  • Plan for scalability

3. Query Management

  • Use parameterized queries
  • Implement query caching
  • Monitor query performance
  • Use appropriate LINQ methods
  • Consider raw SQL when needed

4. Transaction Management

  • Use appropriate transaction scope
  • Handle concurrency properly
  • Implement rollback strategies
  • Monitor transaction performance
  • Consider distributed transactions

5. Migration Strategy

  • Plan migration sequences
  • Test migrations thoroughly
  • Implement rollback procedures
  • Monitor migration performance
  • Document schema changes

Kaynaklar