Dotnet Concepts

 Stored Procedures VS LINQ:

The speed comparison between LINQ (Language Integrated Query) and Stored Procedures depends on factors such as query complexity, data volume, and the execution environment.

Stored Procedures:

  • Precompiled Execution: Stored procedures are precompiled, making execution faster since no parsing or optimization is required.
  • Reduced Network Traffic: They run on the server, minimizing data transfer between the application and the database.
  • Efficiency for Complex Logic: Complex operations, like loops or conditionals, are handled efficiently within stored procedures.

LINQ:

  • Flexibility: LINQ provides an abstracted, flexible way to query data using strongly typed syntax, integrating well with .NET languages.
  • Performance Considerations: LINQ-generated SQL queries are typically less optimized than hand-written SQL and can sometimes be inefficient, especially in complex queries or with large datasets.

In summary, stored procedures generally offer better performance for complex or large-scale queries due to precompilation and direct execution on the server. LINQ, while flexible, may not be as optimized and could result in less efficient queries if not used carefully.


LINQ:

LINQ (Language Integrated Query) in .NET is popular because it provides a unified and consistent syntax to query different data sources (e.g., collections, databases, XML). Key benefits include:

  1. Strongly Typed Queries: Compile-time checking reduces errors and improves developer productivity.
  2. Declarative Syntax: Makes code more readable and maintainable by separating query logic from execution.
  3. Seamless Integration: Works with various data sources like in-memory collections, databases (via Entity Framework or LINQ to SQL), and XML.
  4. Extensibility: Custom LINQ providers can be created for new data sources.
  5. Performance: Supports deferred execution and parallel queries (PLINQ) for optimized performance.
  6. Less Boilerplate Code: Simplifies complex data operations like filtering, sorting, and transforming.
  7. Testability: Makes unit testing easier due to its clear and declarative nature.

Overall, LINQ simplifies data querying, reduces code, and integrates smoothly into .NET applications.



ADO.NET:

ADO.NET is widely used in .NET for efficient and flexible data access. Key reasons include:

  1. Direct Database Access: Provides low-level control over database operations, including CRUD and stored procedures.
  2. Disconnected Data Access: Enables data manipulation without keeping a constant connection to the database, improving performance and scalability.
  3. Fine-Grained Control: Offers customizable SQL queries, command handling, and transaction management.
  4. Performance and Scalability: Supports fast data retrieval and bulk operations, with transaction management for ACID compliance.
  5. Cross-Platform Support: Works across .NET Framework, .NET Core, and .NET 5+, making it versatile for different environments.
  6. Flexibility: Supports multiple data providers (SQL, ODBC, Oracle) and integrates well with other .NET technologies.
  7. Connection Pooling: Optimizes performance by reusing database connections.
  8. Mature Technology: Well-documented and supported with extensive resources.

ADO.NET is ideal for applications requiring customized database interactions, performance optimization, and scalability.


EF Core:

EF Core in .NET is a modern, high-performance ORM that simplifies data access by allowing developers to work with databases using .NET objects. Key benefits include:

  1. Simplified Data Access: Use LINQ to query data with less boilerplate code and no need for raw SQL.
  2. Cross-Platform: Runs on .NET Core, .NET 5+, and .NET Framework, supporting Windows, Linux, and macOS.
  3. Automatic Schema Generation: Supports Code First and Database First approaches with automatic migrations.
  4. Wide Database Support: Works with various databases like SQL Server, PostgreSQL, MySQL, and more.
  5. Performance: Optimized for speed with features like compiled queries and efficient query generation.
  6. Change Tracking: Automatically tracks and manages changes to entities.
  7. Concurrency Control: Supports optimistic concurrency for safe data updates.
  8. Extensibility: Customizable with flexible configurations and plug-in support.
  9. Integration: Well-integrated with the .NET ecosystem, especially ASP.NET Core.

EF Core simplifies database interactions, improves performance, and provides a scalable, flexible solution for .NET applications.


DAPPER:

Dapper is a lightweight, high-performance ORM for .NET, favored for its speed, simplicity, and flexibility. Key advantages include:

  1. High Performance: Fast query execution with minimal overhead, ideal for performance-critical applications.
  2. Simplicity: Simple API for executing raw SQL and mapping results to objects without complex configuration.
  3. Full SQL Control: Provides direct control over SQL queries, avoiding the abstraction overhead of full ORMs.
  4. Flexible Object Mapping: Efficiently maps query results to .NET objects, supporting complex scenarios like multi-mapping.
  5. Minimalistic: No tracking of changes or entity state management, reducing memory consumption.
  6. Scalable: Perfect for read-heavy applications and microservices due to its lightweight nature.
  7. Easy Integration: Works with any ADO.NET-compatible database, fitting easily into existing applications.

Overall, Dapper is ideal for high-performance, database-driven applications where direct SQL control and minimal overhead are crucial.


How do you maintain code?

To maintain code for .NET, Angular, and SQL Server effectively:

  1. Organize Code: Use modular, layered architecture for .NET (e.g., separate business logic and data access). Structure Angular apps with components and services. Manage SQL Server with normalized schemas, stored procedures, and version-controlled scripts.
  2. Version Control: Use Git for version control across frontend, backend, and database. Implement branching strategies like GitFlow for collaboration and code reviews.
  3. CI/CD: Automate builds and deployments using CI/CD pipelines. Integrate testing (unit, integration, and E2E tests) for .NET, Angular, and SQL Server.
  4. Testing: Perform unit testing for backend and frontend with appropriate tools (e.g., xUnit, Jasmine). Test SQL Server queries and stored procedures.
  5. Database Management: Use Entity Framework migrations or SQL scripts to handle schema changes, and ensure version control for database scripts.
  6. Performance & Monitoring: Monitor frontend performance (Angular) with DevTools, backend performance (ASP.NET) with Application Insights, and SQL Server queries for optimization.
  7. Documentation: Maintain API documentation (e.g., Swagger), database schema documentation, and frontend guides to ensure team alignment.
  8. Security: Implement secure authentication (e.g., JWT, OAuth) for both backend and frontend, and follow best practices for SQL Server security.

By following these practices, the code remains organized, maintainable, scalable, and secure.

 


Fix production issue?

1.       Identify the Issue: Collect user feedback, review logs, and monitor system performance to identify errors in the frontend, backend, or database.

2.       Diagnose the Issue: Use tools like browser console logs (Angular), exception logs (ASP.NET), SQL Server Profiler (SQL Server), and EF Core query logs to pinpoint the cause.

3.       Apply Fixes:

o   Angular: Fix UI bugs or API call errors.

o   .NET: Address exceptions, data validation, or API response issues.

o   EF Core: Handle database schema issues, optimize queries, or apply migrations.

o   SQL Server: Optimize slow queries, fix deadlocks, and resolve data integrity issues.

4.       Test the Fix: Run unit/integration tests, manually verify the fix, and perform regression testing.

5.       Deploy to Production: Deploy the fix cautiously, monitor the system post-deployment, and be ready to rollback if necessary.

6.       Post-Mortem: Conduct a root cause analysis, improve monitoring, and update tests to prevent future issues.

This approach ensures timely resolution, minimizes downtime, and strengthens the stability of the application.


  


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