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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

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    infor@spinncode.com
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    Nairobi, Kenya
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7 Months ago | 63 views

**Course Title:** SQLite Mastery: Lightweight Database Management **Section Title:** Basic Data Retrieval and Filtering **Topic:** Write queries to filter, sort, and limit data in an SQLite database. (Lab topic) Welcome to this lab topic where we'll put your SQL skills to the test. We'll create queries that filter, sort, and limit data in an SQLite database. This is a hands-on exercise, so make sure you have a functioning SQLite environment set up on your machine. If you're new to SQLite, you can download the SQLite browser (DB Browser for SQLite) from [the official website](https://sqlitebrowser.org/). **Objective:** By the end of this lab, you'll be able to: * Write SQL queries that filter data using the WHERE clause * Sort data using the ORDER BY clause * Limit the number of rows returned in a query using the LIMIT clause **Database Setup:** For this lab, we'll use a sample database called "employees.db". You can create the database and tables using the following SQL script: ```sql -- Create database -- Please Note: SQLite automatically creates a new database if it does not exist when you try to connect to a new Database file. -- Create tables CREATE TABLE departments ( department_id INTEGER PRIMARY KEY, department_name TEXT NOT NULL ); CREATE TABLE employees ( employee_id INTEGER PRIMARY KEY, first_name TEXT NOT NULL, last_name TEXT NOT NULL, department_id INTEGER NOT NULL, salary REAL NOT NULL, FOREIGN KEY (department_id) REFERENCES departments(department_id) ); -- Insert data into tables INSERT INTO departments (department_id, department_name) VALUES (1, 'Sales'), (2, 'Marketing'), (3, 'HR'), (4, 'IT'); INSERT INTO employees (employee_id, first_name, last_name, department_id, salary) VALUES (1, 'John', 'Doe', 1, 50000), (2, 'Jane', 'Doe', 2, 60000), (3, 'Bob', 'Smith', 3, 70000), (4, 'Alice', 'Johnson', 4, 80000), (5, 'Mike', 'Williams', 1, 55000), (6, 'Emma', 'Taylor', 2, 65000), (7, 'David', 'Brown', 3, 75000), (8, 'Sophia', 'Lee', 4, 85000); ``` **Query 1: Filter data using the WHERE clause** Write a SQL query to retrieve all employees who work in the 'Sales' department. ```sql SELECT * FROM employees WHERE department_id = 1; ``` This query will return all employees who have a department_id of 1, which corresponds to the 'Sales' department. **Query 2: Sort data using the ORDER BY clause** Write a SQL query to retrieve all employees and sort them by their last name in descending order. ```sql SELECT * FROM employees ORDER BY last_name DESC; ``` This query will return all employees and sort them by their last name in descending order. **Query 3: Limit the number of rows returned using the LIMIT clause** Write a SQL query to retrieve the first 3 employees who have the highest salary. ```sql SELECT * FROM employees ORDER BY salary DESC LIMIT 3; ``` This query will return the first 3 employees who have the highest salary. **Challenge Exercises:** 1. Write a SQL query to retrieve all employees who have a salary greater than 70000. 2. Write a SQL query to retrieve all employees and sort them by their first name in ascending order. 3. Write a SQL query to retrieve the last 2 employees who have the lowest salary. We encourage you to try these exercises and test your SQL skills. If you have any questions or need help, please leave a comment below. In the next topic, we'll explore how to use aggregate functions in SQLite. We'll learn how to use COUNT, SUM, AVG, MIN, and MAX to perform calculations on our data. **What's Next:** Using aggregate functions in SQLite: COUNT, SUM, AVG, MIN, MAX.
Course
SQLite
Database
Queries
Optimization
Security

Write Queries to Filter, Sort, and Limit Data in SQLite

**Course Title:** SQLite Mastery: Lightweight Database Management **Section Title:** Basic Data Retrieval and Filtering **Topic:** Write queries to filter, sort, and limit data in an SQLite database. (Lab topic) Welcome to this lab topic where we'll put your SQL skills to the test. We'll create queries that filter, sort, and limit data in an SQLite database. This is a hands-on exercise, so make sure you have a functioning SQLite environment set up on your machine. If you're new to SQLite, you can download the SQLite browser (DB Browser for SQLite) from [the official website](https://sqlitebrowser.org/). **Objective:** By the end of this lab, you'll be able to: * Write SQL queries that filter data using the WHERE clause * Sort data using the ORDER BY clause * Limit the number of rows returned in a query using the LIMIT clause **Database Setup:** For this lab, we'll use a sample database called "employees.db". You can create the database and tables using the following SQL script: ```sql -- Create database -- Please Note: SQLite automatically creates a new database if it does not exist when you try to connect to a new Database file. -- Create tables CREATE TABLE departments ( department_id INTEGER PRIMARY KEY, department_name TEXT NOT NULL ); CREATE TABLE employees ( employee_id INTEGER PRIMARY KEY, first_name TEXT NOT NULL, last_name TEXT NOT NULL, department_id INTEGER NOT NULL, salary REAL NOT NULL, FOREIGN KEY (department_id) REFERENCES departments(department_id) ); -- Insert data into tables INSERT INTO departments (department_id, department_name) VALUES (1, 'Sales'), (2, 'Marketing'), (3, 'HR'), (4, 'IT'); INSERT INTO employees (employee_id, first_name, last_name, department_id, salary) VALUES (1, 'John', 'Doe', 1, 50000), (2, 'Jane', 'Doe', 2, 60000), (3, 'Bob', 'Smith', 3, 70000), (4, 'Alice', 'Johnson', 4, 80000), (5, 'Mike', 'Williams', 1, 55000), (6, 'Emma', 'Taylor', 2, 65000), (7, 'David', 'Brown', 3, 75000), (8, 'Sophia', 'Lee', 4, 85000); ``` **Query 1: Filter data using the WHERE clause** Write a SQL query to retrieve all employees who work in the 'Sales' department. ```sql SELECT * FROM employees WHERE department_id = 1; ``` This query will return all employees who have a department_id of 1, which corresponds to the 'Sales' department. **Query 2: Sort data using the ORDER BY clause** Write a SQL query to retrieve all employees and sort them by their last name in descending order. ```sql SELECT * FROM employees ORDER BY last_name DESC; ``` This query will return all employees and sort them by their last name in descending order. **Query 3: Limit the number of rows returned using the LIMIT clause** Write a SQL query to retrieve the first 3 employees who have the highest salary. ```sql SELECT * FROM employees ORDER BY salary DESC LIMIT 3; ``` This query will return the first 3 employees who have the highest salary. **Challenge Exercises:** 1. Write a SQL query to retrieve all employees who have a salary greater than 70000. 2. Write a SQL query to retrieve all employees and sort them by their first name in ascending order. 3. Write a SQL query to retrieve the last 2 employees who have the lowest salary. We encourage you to try these exercises and test your SQL skills. If you have any questions or need help, please leave a comment below. In the next topic, we'll explore how to use aggregate functions in SQLite. We'll learn how to use COUNT, SUM, AVG, MIN, and MAX to perform calculations on our data. **What's Next:** Using aggregate functions in SQLite: COUNT, SUM, AVG, MIN, MAX.

Images

SQLite Mastery: Lightweight Database Management

Course

Objectives

  • Understand the core concepts of relational databases and SQLite's role as a lightweight solution.
  • Learn to write efficient queries and manage databases with SQLite.
  • Master advanced SQLite features such as joins, subqueries, and indexing.
  • Develop skills in database design and optimization using SQLite.
  • Learn best practices for managing and securing SQLite databases.

Introduction to SQLite and Relational Databases

  • What is SQLite and why use it?
  • Understanding the structure of relational databases.
  • Setting up the SQLite development environment.
  • Introduction to basic SQL commands in SQLite: SELECT, FROM, WHERE.
  • Lab: Install SQLite and write basic queries to retrieve data from a sample database.

Creating and Managing SQLite Databases

  • Creating and managing SQLite databases and tables.
  • Understanding data types in SQLite.
  • Using CREATE TABLE, ALTER TABLE, and DROP TABLE.
  • Best practices for defining primary keys and foreign keys in SQLite.
  • Lab: Create a database and tables, and insert initial data using SQLite.

Basic Data Retrieval and Filtering

  • Using SELECT statements for querying data.
  • Filtering data with WHERE, AND, OR, and NOT.
  • Sorting data with ORDER BY.
  • Limiting results with LIMIT and OFFSET.
  • Lab: Write queries to filter, sort, and limit data in an SQLite database.

Aggregate Functions and Grouping Data

  • Using aggregate functions in SQLite: COUNT, SUM, AVG, MIN, MAX.
  • Grouping data with GROUP BY.
  • Filtering grouped data using HAVING.
  • Advanced data aggregation techniques.
  • Lab: Write queries to aggregate and group data for reporting purposes.

Working with Multiple Tables: Joins and Relationships

  • Understanding table relationships and foreign keys.
  • Introduction to JOIN operations: INNER JOIN, LEFT JOIN, RIGHT JOIN.
  • Combining data from multiple tables with UNION and UNION ALL.
  • Choosing the right type of join for different use cases.
  • Lab: Write queries using different types of joins to retrieve related data from multiple tables.

Inserting, Updating, and Deleting Data

  • Inserting new data into tables (INSERT INTO).
  • Updating existing records (UPDATE).
  • Deleting records from a table (DELETE).
  • Handling conflicts and using the REPLACE command.
  • Lab: Perform data manipulation tasks using INSERT, UPDATE, and DELETE.

Subqueries and Advanced Data Retrieval

  • Understanding subqueries and their use cases.
  • Writing scalar and table subqueries.
  • Correlated subqueries and performance considerations.
  • Using subqueries with SELECT, INSERT, UPDATE, and DELETE.
  • Lab: Write queries with subqueries for advanced data retrieval.

SQLite Database Design and Normalization

  • Introduction to good database design principles.
  • Understanding normalization and normal forms (1NF, 2NF, 3NF).
  • Handling denormalization in SQLite for performance optimization.
  • Designing a well-structured and efficient SQLite database schema.
  • Lab: Design and normalize a database schema for a real-world use case.

Transactions and Data Integrity

  • Understanding transactions and SQLite's ACID properties.
  • Using BEGIN TRANSACTION, COMMIT, and ROLLBACK.
  • Managing data consistency with transactions.
  • Error handling and ensuring data integrity with constraints.
  • Lab: Write queries to implement transactions and manage data consistency in a multi-step process.

Indexing and Performance Optimization

  • Introduction to indexing and its impact on performance.
  • Creating and managing indexes in SQLite.
  • Using the EXPLAIN command to analyze query execution.
  • Best practices for optimizing SQLite queries and database structure.
  • Lab: Analyze the performance of queries and apply indexing techniques for optimization.

Views, Triggers, and Advanced Features

  • Creating and managing views in SQLite.
  • Introduction to triggers and their use cases.
  • Using triggers to automate actions on data changes.
  • Advanced SQLite features such as virtual tables and FTS (Full-Text Search).
  • Lab: Write SQL scripts to create views and triggers in an SQLite database.

Final Project Preparation and Review

  • Overview of final project requirements.
  • Review of key concepts covered throughout the course.
  • Best practices for designing, querying, and managing SQLite databases.
  • Q&A and troubleshooting session for the final project.
  • Lab: Plan and start developing your final project.

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