SQL
1 Introduction to SQL
1.1 Overview of SQL
1.2 History and Evolution of SQL
1.3 Importance of SQL in Data Management
2 SQL Basics
2.1 SQL Syntax and Structure
2.2 Data Types in SQL
2.3 SQL Statements: SELECT, INSERT, UPDATE, DELETE
2.4 SQL Clauses: WHERE, ORDER BY, GROUP BY, HAVING
3 Working with Databases
3.1 Creating and Managing Databases
3.2 Database Design Principles
3.3 Normalization in Database Design
3.4 Denormalization for Performance
4 Tables and Relationships
4.1 Creating and Modifying Tables
4.2 Primary and Foreign Keys
4.3 Relationships: One-to-One, One-to-Many, Many-to-Many
4.4 Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
5 Advanced SQL Queries
5.1 Subqueries and Nested Queries
5.2 Common Table Expressions (CTEs)
5.3 Window Functions
5.4 Pivoting and Unpivoting Data
6 Data Manipulation and Aggregation
6.1 Aggregate Functions: SUM, COUNT, AVG, MIN, MAX
6.2 Grouping and Filtering Aggregated Data
6.3 Handling NULL Values
6.4 Working with Dates and Times
7 Indexing and Performance Optimization
7.1 Introduction to Indexes
7.2 Types of Indexes: Clustered, Non-Clustered, Composite
7.3 Indexing Strategies for Performance
7.4 Query Optimization Techniques
8 Transactions and Concurrency
8.1 Introduction to Transactions
8.2 ACID Properties
8.3 Transaction Isolation Levels
8.4 Handling Deadlocks and Concurrency Issues
9 Stored Procedures and Functions
9.1 Creating and Executing Stored Procedures
9.2 User-Defined Functions
9.3 Control Structures in Stored Procedures
9.4 Error Handling in Stored Procedures
10 Triggers and Events
10.1 Introduction to Triggers
10.2 Types of Triggers: BEFORE, AFTER, INSTEAD OF
10.3 Creating and Managing Triggers
10.4 Event Scheduling in SQL
11 Views and Materialized Views
11.1 Creating and Managing Views
11.2 Uses and Benefits of Views
11.3 Materialized Views and Their Use Cases
11.4 Updating and Refreshing Views
12 Security and Access Control
12.1 User Authentication and Authorization
12.2 Role-Based Access Control
12.3 Granting and Revoking Privileges
12.4 Securing Sensitive Data
13 SQL Best Practices and Standards
13.1 Writing Efficient SQL Queries
13.2 Naming Conventions and Standards
13.3 Documentation and Code Comments
13.4 Version Control for SQL Scripts
14 SQL in Real-World Applications
14.1 Integrating SQL with Programming Languages
14.2 SQL in Data Warehousing
14.3 SQL in Big Data Environments
14.4 SQL in Cloud Databases
15 Exam Preparation
15.1 Overview of the Exam Structure
15.2 Sample Questions and Practice Tests
15.3 Time Management Strategies
15.4 Review and Revision Techniques
9 Stored Procedures and Functions Explained

Stored Procedures and Functions Explained

Key Concepts

  1. Stored Procedures
  2. Functions
  3. Difference Between Stored Procedures and Functions
  4. Creating Stored Procedures
  5. Creating Functions
  6. Parameters in Stored Procedures
  7. Parameters in Functions
  8. Executing Stored Procedures
  9. Executing Functions

1. Stored Procedures

A stored procedure is a precompiled collection of SQL statements stored in the database. It can accept input parameters, perform operations, and return results. Stored procedures are used to encapsulate business logic and improve performance by reducing network traffic.

2. Functions

A function is a database object that performs a specific task and returns a single value. Functions can be used in SQL queries and can accept parameters. They are typically used for calculations or transformations.

3. Difference Between Stored Procedures and Functions

The main differences between stored procedures and functions are:

4. Creating Stored Procedures

Stored procedures are created using the CREATE PROCEDURE statement.

Example:

CREATE PROCEDURE GetEmployeeDetails
AS
BEGIN
    SELECT EmployeeID, FirstName, LastName, Department
    FROM Employees
END;

5. Creating Functions

Functions are created using the CREATE FUNCTION statement.

Example:

CREATE FUNCTION CalculateSalaryIncrease(@Salary DECIMAL(10, 2), @IncreasePercentage DECIMAL(5, 2))
RETURNS DECIMAL(10, 2)
AS
BEGIN
    RETURN @Salary + (@Salary * @IncreasePercentage / 100)
END;

6. Parameters in Stored Procedures

Stored procedures can accept input and output parameters.

Example:

CREATE PROCEDURE GetEmployeeByID(@EmployeeID INT)
AS
BEGIN
    SELECT EmployeeID, FirstName, LastName, Department
    FROM Employees
    WHERE EmployeeID = @EmployeeID
END;

7. Parameters in Functions

Functions can accept input parameters but cannot have output parameters.

Example:

CREATE FUNCTION CalculateAge(@BirthDate DATE)
RETURNS INT
AS
BEGIN
    RETURN DATEDIFF(YEAR, @BirthDate, GETDATE())
END;

8. Executing Stored Procedures

Stored procedures are executed using the EXECUTE or EXEC statement.

Example:

EXEC GetEmployeeDetails;
EXEC GetEmployeeByID @EmployeeID = 123;

9. Executing Functions

Functions are executed by calling them within SQL queries.

Example:

SELECT EmployeeID, FirstName, LastName, CalculateSalaryIncrease(Salary, 5) AS NewSalary
FROM Employees;

Understanding stored procedures and functions is essential for efficient database management. By encapsulating logic and performing calculations, these database objects help in maintaining clean and optimized SQL code.