SQL Server Mastery

Stored Procedures: Security, Performance, and Best Practices

2 Views Updated 5/6/2026

Enterprise Stored Procedures

Stored Procedures (Procs) are the bridge between your C# code and the database. While some developers prefer raw SQL in EF Core, Stored Procedures provide superior security, network efficiency, and performance tuning capabilities.

1. Why use Procs?

  • Security: You can grant a user permission to EXECUTE a proc without giving them access to the underlying tables. This prevents bulk data theft.
  • Network Traffic: Instead of sending a 500-line SQL string over the wire, you just send EXEC GetReport 5.
  • Pre-Compiled: SQL Server caches the execution plan for procs, making them slightly faster for complex logic.

2. Output Parameters

Don't return a whole table if you only need one value. Use OUTPUT parameters to return specific values (like a newly created Identity ID) back to your C# app efficiently.

4. Interview Mastery

Q: "Should I put complex business logic inside Stored Procedures?"

Architect Answer: "It depends on the **Logic Type**. Data-centric logic (mass updates, complex aggregations) belongs in a Proc because it is faster to do it where the data lives. UI-centric or external logic (sending emails, calling APIs) belongs in the C# code. Putting too much business logic in Procs creates a 'Black Box' that is hard to version-control and unit-test."

SQL Server Mastery
1. SQL Server Architecture & Basics
SQL Server Internals: How the Storage Engine works Relational Database Design & Normalization (1NF to 3NF) Data Types Mastery: Choosing the right type for performance
2. Advanced T-SQL Querying
Joins Deep Dive: Inner, Outer, Cross, and Self Joins Subqueries vs CTEs: Writing readable, high-performance code Window Functions: ROW_NUMBER, RANK, and LEAD/LAG Aggregations & Grouping Sets: Building complex reports Set Operators: UNION vs UNION ALL, INTERSECT, and EXCEPT
3. Indexing & Performance Tuning
Clustered vs Non-Clustered Indexes: The physical storage reality Covering Indexes & Included Columns: Reducing I/O costs Index Fragmentation: Why it happens and how to fix it Execution Plans: Reading the Query Optimizer's mind Statistics: Why 'Out of Date' stats kill performance SARGability: Writing queries that actually use indexes
4. Database Programmability
Stored Procedures: Security, Performance, and Best Practices User Defined Functions (UDF): Scalar vs Table-Valued Triggers: Auditing changes and the dangers of hidden logic Views & Indexed Views: Abstraction with performance Error Handling: TRY/CATCH and XACT_STATE()
5. Transactions & Concurrency
Transaction Isolation Levels: Read Uncommitted to Snapshot Locking & Blocking: Analyzing Deadlocks like a Pro Optimistic vs Pessimistic Concurrency
6. Administration & Security
SQL Server Security: Logins, Users, and Roles SQL Injection Prevention: Beyond simple parameterization Backup & Recovery Models: Full vs Simple vs Bulk-Logged Automating Maintenance: SQL Agent Jobs & Rebuilding Indexes
7. Modern SQL & Cloud
SQL Server & JSON: Storing and Querying semi-structured data Temporal Tables: Keeping track of data history automatically Introduction to Azure SQL: Database as a Service (PaaS) SQL Server Developer Interview: Junior to Senior Architect Level