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
Working with Dates and Times in SQL

Working with Dates and Times in SQL

1. Date and Time Data Types

SQL provides several data types for storing date and time information:

2. Date and Time Functions

SQL offers a variety of functions to manipulate and extract information from date and time values:

3. Examples

Using CURRENT_DATE and CURRENT_TIME

SELECT CURRENT_DATE AS TodayDate, CURRENT_TIME AS CurrentTime;

This query returns the current date and time.

Extracting Parts of a Date

SELECT 
    EXTRACT(YEAR FROM OrderDate) AS OrderYear,
    EXTRACT(MONTH FROM OrderDate) AS OrderMonth,
    EXTRACT(DAY FROM OrderDate) AS OrderDay
FROM Orders;

This query extracts the year, month, and day from the OrderDate column in the Orders table.

Adding and Subtracting Time Intervals

SELECT 
    DATE_ADD(OrderDate, INTERVAL 7 DAY) AS DueDate,
    DATE_SUB(OrderDate, INTERVAL 1 MONTH) AS PreviousMonth
FROM Orders;

This query adds 7 days to the OrderDate to calculate the due date and subtracts 1 month to find the previous month's date.

4. Formatting Dates and Times

SQL allows you to format dates and times according to your needs using the DATE_FORMAT function:

SELECT 
    DATE_FORMAT(OrderDate, '%Y-%m-%d') AS FormattedDate,
    DATE_FORMAT(OrderDate, '%H:%i:%s') AS FormattedTime
FROM Orders;

This query formats the OrderDate as a date and time string using specific format codes.

5. Time Zones

When working with TIMESTAMP data, you can handle time zones using functions like CONVERT_TZ:

SELECT 
    OrderTimestamp,
    CONVERT_TZ(OrderTimestamp, 'UTC', 'America/New_York') AS LocalTime
FROM Orders;

This query converts the OrderTimestamp from UTC to the local time in New York.

6. Insightful Value

Mastering the manipulation of dates and times in SQL is crucial for tasks such as scheduling, reporting, and data analysis. By understanding and applying these concepts, you can efficiently manage temporal data, ensuring accurate and meaningful results in your queries.