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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 | 168 views

**Course Title:** SQLite Mastery: Lightweight Database Management **Section Title:** Basic Data Retrieval and Filtering **Topic:** Filtering data with WHERE, AND, OR, and NOT ### Introduction to Filtering Data In the previous topic, we learned how to retrieve data from SQLite databases using SELECT statements. However, sometimes we need to retrieve specific data based on certain conditions. This is where filters come in. In this topic, we will cover how to use WHERE, AND, OR, and NOT to filter data in SQLite. ### Using the WHERE Clause The WHERE clause is used to filter data based on a condition. The basic syntax of the WHERE clause is: ```sql SELECT column1, column2, ... FROM tablename WHERE condition; ``` In the condition, you can use operators such as: - = (equal to) - != (not equal to) - > (greater than) - < (less than) - >= (greater than or equal to) - <= (less than or equal to) **Example 1:** Retrieve all rows from the `employees` table where the `age` column is greater than 30. ```sql SELECT * FROM employees WHERE age > 30; ``` **Example 2:** Retrieve all rows from the `employees` table where the `name` column is equal to 'John Smith'. ```sql SELECT * FROM employees WHERE name = 'John Smith'; ``` ### Using the AND Operator The AND operator is used to combine multiple conditions. All conditions must be true for the row to be included in the result set. **Example 1:** Retrieve all rows from the `employees` table where the `age` column is greater than 30 and the `salary` column is greater than 50000. ```sql SELECT * FROM employees WHERE age > 30 AND salary > 50000; ``` **Example 2:** Retrieve all rows from the `employees` table where the `name` column is equal to 'John Smith' and the `department` column is equal to 'Sales'. ```sql SELECT * FROM employees WHERE name = 'John Smith' AND department = 'Sales'; ``` ### Using the OR Operator The OR operator is used to combine multiple conditions. Only one condition needs to be true for the row to be included in the result set. **Example 1:** Retrieve all rows from the `employees` table where the `age` column is greater than 30 or the `salary` column is greater than 50000. ```sql SELECT * FROM employees WHERE age > 30 OR salary > 50000; ``` **Example 2:** Retrieve all rows from the `employees` table where the `name` column is equal to 'John Smith' or the `department` column is equal to 'Sales'. ```sql SELECT * FROM employees WHERE name = 'John Smith' OR department = 'Sales'; ``` ### Using the NOT Operator The NOT operator is used to negate a condition. The row is included in the result set if the condition is not true. **Example 1:** Retrieve all rows from the `employees` table where the `age` column is not greater than 30. ```sql SELECT * FROM employees WHERE NOT age > 30; ``` **Example 2:** Retrieve all rows from the `employees` table where the `name` column is not equal to 'John Smith'. ```sql SELECT * FROM employees WHERE NOT name = 'John Smith'; ``` ### Conclusion In this topic, we learned how to use the WHERE, AND, OR, and NOT operators to filter data in SQLite databases. We saw how to use these operators to retrieve specific data based on conditions and how to combine multiple conditions using the AND and OR operators. ### Key Takeaways - The WHERE clause is used to filter data based on a condition. - The AND operator is used to combine multiple conditions. All conditions must be true for the row to be included in the result set. - The OR operator is used to combine multiple conditions. Only one condition needs to be true for the row to be included in the result set. - The NOT operator is used to negate a condition. The row is included in the result set if the condition is not true. ### Next Steps In the next topic, we will cover how to sort data using the ORDER BY clause. If you have any questions or need help with the material, please comment below. References: * SQLite Official Documentation: [https://www.sqlite.org/docs.html](https://www.sqlite.org/docs.html) * SQL Tutorial by W3Schools: [https://www.w3schools.com/sql/default.asp](https://www.w3schools.com/sql/default.asp) **Leave a comment or ask for help below if you have any questions.**
Course
SQLite
Database
Queries
Optimization
Security

Filtering Data with SQLite: WHERE, AND, OR & NOT

**Course Title:** SQLite Mastery: Lightweight Database Management **Section Title:** Basic Data Retrieval and Filtering **Topic:** Filtering data with WHERE, AND, OR, and NOT ### Introduction to Filtering Data In the previous topic, we learned how to retrieve data from SQLite databases using SELECT statements. However, sometimes we need to retrieve specific data based on certain conditions. This is where filters come in. In this topic, we will cover how to use WHERE, AND, OR, and NOT to filter data in SQLite. ### Using the WHERE Clause The WHERE clause is used to filter data based on a condition. The basic syntax of the WHERE clause is: ```sql SELECT column1, column2, ... FROM tablename WHERE condition; ``` In the condition, you can use operators such as: - = (equal to) - != (not equal to) - > (greater than) - < (less than) - >= (greater than or equal to) - <= (less than or equal to) **Example 1:** Retrieve all rows from the `employees` table where the `age` column is greater than 30. ```sql SELECT * FROM employees WHERE age > 30; ``` **Example 2:** Retrieve all rows from the `employees` table where the `name` column is equal to 'John Smith'. ```sql SELECT * FROM employees WHERE name = 'John Smith'; ``` ### Using the AND Operator The AND operator is used to combine multiple conditions. All conditions must be true for the row to be included in the result set. **Example 1:** Retrieve all rows from the `employees` table where the `age` column is greater than 30 and the `salary` column is greater than 50000. ```sql SELECT * FROM employees WHERE age > 30 AND salary > 50000; ``` **Example 2:** Retrieve all rows from the `employees` table where the `name` column is equal to 'John Smith' and the `department` column is equal to 'Sales'. ```sql SELECT * FROM employees WHERE name = 'John Smith' AND department = 'Sales'; ``` ### Using the OR Operator The OR operator is used to combine multiple conditions. Only one condition needs to be true for the row to be included in the result set. **Example 1:** Retrieve all rows from the `employees` table where the `age` column is greater than 30 or the `salary` column is greater than 50000. ```sql SELECT * FROM employees WHERE age > 30 OR salary > 50000; ``` **Example 2:** Retrieve all rows from the `employees` table where the `name` column is equal to 'John Smith' or the `department` column is equal to 'Sales'. ```sql SELECT * FROM employees WHERE name = 'John Smith' OR department = 'Sales'; ``` ### Using the NOT Operator The NOT operator is used to negate a condition. The row is included in the result set if the condition is not true. **Example 1:** Retrieve all rows from the `employees` table where the `age` column is not greater than 30. ```sql SELECT * FROM employees WHERE NOT age > 30; ``` **Example 2:** Retrieve all rows from the `employees` table where the `name` column is not equal to 'John Smith'. ```sql SELECT * FROM employees WHERE NOT name = 'John Smith'; ``` ### Conclusion In this topic, we learned how to use the WHERE, AND, OR, and NOT operators to filter data in SQLite databases. We saw how to use these operators to retrieve specific data based on conditions and how to combine multiple conditions using the AND and OR operators. ### Key Takeaways - The WHERE clause is used to filter data based on a condition. - The AND operator is used to combine multiple conditions. All conditions must be true for the row to be included in the result set. - The OR operator is used to combine multiple conditions. Only one condition needs to be true for the row to be included in the result set. - The NOT operator is used to negate a condition. The row is included in the result set if the condition is not true. ### Next Steps In the next topic, we will cover how to sort data using the ORDER BY clause. If you have any questions or need help with the material, please comment below. References: * SQLite Official Documentation: [https://www.sqlite.org/docs.html](https://www.sqlite.org/docs.html) * SQL Tutorial by W3Schools: [https://www.w3schools.com/sql/default.asp](https://www.w3schools.com/sql/default.asp) **Leave a comment or ask for help below if you have any questions.**

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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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