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 (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:
- Strongly
Typed Queries: Compile-time checking reduces errors
and improves developer productivity.
- Declarative
Syntax: Makes code more readable and maintainable by separating
query logic from execution.
- Seamless
Integration: Works with various data sources like
in-memory collections, databases (via Entity Framework or LINQ to SQL),
and XML.
- Extensibility:
Custom LINQ providers can be created for new data sources.
- Performance:
Supports deferred execution and parallel queries (PLINQ) for optimized
performance.
- Less
Boilerplate Code: Simplifies complex data operations like
filtering, sorting, and transforming.
- 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 is widely used in .NET for efficient and flexible data access. Key reasons include:
- Direct Database Access: Provides low-level control over database operations, including CRUD and stored procedures.
- Disconnected Data Access: Enables data manipulation without keeping a constant connection to the database, improving performance and scalability.
- Fine-Grained Control: Offers customizable SQL queries, command handling, and transaction management.
- Performance and Scalability: Supports fast data retrieval and bulk operations, with transaction management for ACID compliance.
- Cross-Platform Support: Works across .NET Framework, .NET Core, and .NET 5+, making it versatile for different environments.
- Flexibility: Supports multiple data providers (SQL, ODBC, Oracle) and integrates well with other .NET technologies.
- Connection Pooling: Optimizes performance by reusing database connections.
- 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:
- Simplified
Data Access: Use LINQ to query data with less
boilerplate code and no need for raw SQL.
- Cross-Platform:
Runs on .NET Core, .NET 5+, and .NET Framework, supporting Windows, Linux,
and macOS.
- Automatic
Schema Generation: Supports Code First and Database First
approaches with automatic migrations.
- Wide
Database Support: Works with various databases like SQL
Server, PostgreSQL, MySQL, and more.
- Performance:
Optimized for speed with features like compiled queries and efficient
query generation.
- Change
Tracking: Automatically tracks and manages changes to entities.
- Concurrency
Control: Supports optimistic concurrency for safe data updates.
- Extensibility:
Customizable with flexible configurations and plug-in support.
- 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:
- High
Performance: Fast query execution with minimal
overhead, ideal for performance-critical applications.
- Simplicity:
Simple API for executing raw SQL and mapping results to objects without
complex configuration.
- Full
SQL Control: Provides direct control over SQL
queries, avoiding the abstraction overhead of full ORMs.
- Flexible
Object Mapping: Efficiently maps query results to .NET
objects, supporting complex scenarios like multi-mapping.
- Minimalistic: No
tracking of changes or entity state management, reducing memory
consumption.
- Scalable:
Perfect for read-heavy applications and microservices due to its
lightweight nature.
- 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:
- 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.
- Version
Control: Use Git for version control across frontend, backend, and
database. Implement branching strategies like GitFlow for collaboration
and code reviews.
- CI/CD:
Automate builds and deployments using CI/CD pipelines. Integrate testing
(unit, integration, and E2E tests) for .NET, Angular, and SQL Server.
- Testing:
Perform unit testing for backend and frontend with appropriate tools
(e.g., xUnit, Jasmine). Test SQL Server queries and stored procedures.
- Database
Management: Use Entity Framework migrations or SQL scripts to handle
schema changes, and ensure version control for database scripts.
- Performance
& Monitoring: Monitor frontend performance (Angular)
with DevTools, backend performance (ASP.NET) with Application Insights,
and SQL Server queries for optimization.
- Documentation:
Maintain API documentation (e.g., Swagger), database schema documentation,
and frontend guides to ensure team alignment.
- 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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