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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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8 Months ago | 109 views

**Course Title:** SQLite Mastery: Lightweight Database Management **Section Title:** Inserting, Updating, and Deleting Data **Topic:** Perform data manipulation tasks using INSERT, UPDATE, and DELETE. (Lab topic) ## Introduction In the previous topics, we covered the basics of SQLite and explored how to create, manage, and query databases. Now, it's time to dive deeper into data manipulation tasks using INSERT, UPDATE, and DELETE. This lab topic is designed to provide hands-on experience with these essential SQL commands. ## Objective By the end of this lab, you will be able to: * Insert new data into existing tables * Update existing records in tables * Delete records from tables * Understand how to handle conflicts and use the REPLACE command ## Prerequisites Before starting this lab, make sure you have: * A SQLite database management system installed on your computer (e.g., DB Browser for SQLite, SQLite Studio, or the SQLite command-line tool) * A basic understanding of SQLite and SQL syntax (covered in previous topics) ## Lab Exercise 1: Inserting New Data In this exercise, you will create a new table and insert data into it using the INSERT INTO command. ### Step 1: Create a new table Open your SQLite database management system and create a new table called "employees" with the following columns: * employee_id ( INTEGER PRIMARY KEY ) * name ( TEXT NOT NULL ) * department ( TEXT NOT NULL ) * salary ( REAL NOT NULL ) Use the following SQL command to create the table: ```sql CREATE TABLE employees ( employee_id INTEGER PRIMARY KEY, name TEXT NOT NULL, department TEXT NOT NULL, salary REAL NOT NULL ); ``` ### Step 2: Insert data into the table Insert the following data into the "employees" table: | employee_id | name | department | salary | |------------|-------------|-------------|---------| | 1 | John Smith | Sales | 50000.0 | | 2 | Jane Doe | Marketing | 60000.0 | | 3 | Bob Brown | IT | 70000.0 | Use the following SQL command to insert the data: ```sql INSERT INTO employees (employee_id, name, department, salary) VALUES (1, 'John Smith', 'Sales', 50000.0), (2, 'Jane Doe', 'Marketing', 60000.0), (3, 'Bob Brown', 'IT', 70000.0); ``` ## Lab Exercise 2: Updating Existing Records In this exercise, you will update existing records in the "employees" table using the UPDATE command. ### Step 1: Update a single record Update the department of John Smith to "HR". Use the following SQL command to update the record: ```sql UPDATE employees SET department = 'HR' WHERE employee_id = 1; ``` ### Step 2: Update multiple records Update the salaries of all employees in the "IT" department by 10%. Use the following SQL command to update the records: ```sql UPDATE employees SET salary = salary * 1.1 WHERE department = 'IT'; ``` ## Lab Exercise 3: Deleting Records In this exercise, you will delete records from the "employees" table using the DELETE command. ### Step 1: Delete a single record Delete the record of John Smith. Use the following SQL command to delete the record: ```sql DELETE FROM employees WHERE employee_id = 1; ``` ### Step 2: Delete multiple records Delete all records of employees in the "Marketing" department. Use the following SQL command to delete the records: ```sql DELETE FROM employees WHERE department = 'Marketing'; ``` ## Handling Conflicts and Using the REPLACE Command In SQLite, you can use the REPLACE command to handle conflicts when inserting data into a table with a PRIMARY KEY or UNIQUE constraint. ### Step 1: Create a table with a PRIMARY KEY constraint Create a new table called "products" with a PRIMARY KEY constraint on the "product_id" column: ```sql CREATE TABLE products ( product_id INTEGER PRIMARY KEY, name TEXT NOT NULL, price REAL NOT NULL ); ``` ### Step 2: Insert data into the table Insert data into the "products" table using the INSERT INTO command: ```sql INSERT INTO products (product_id, name, price) VALUES (1, 'Product A', 10.99), (2, 'Product B', 9.99), (3, 'Product C', 12.99); ``` ### Step 3: Replace a record using the REPLACE command Replace the record of Product A with a new price: ```sql REPLACE INTO products (product_id, name, price) VALUES (1, 'Product A', 11.99); ``` ## Conclusion In this lab, you performed data manipulation tasks using INSERT, UPDATE, and DELETE. You also learned how to handle conflicts and use the REPLACE command. Remember to always use the correct syntax and consider the constraints on your tables when performing data manipulation tasks. **What's Next?** In the next topic, we will explore subqueries and their use cases. A subquery is a query nested inside another query. Subqueries can be used to return data that depends on the result of another query. **External Resources:** * SQLite Documentation: [INSERT INTO](https://www.sqlite.org/lang_insert.html) * SQLite Documentation: [UPDATE](https://www.sqlite.org/lang_update.html) * SQLite Documentation: [DELETE](https://www.sqlite.org/lang_delete.html) **Leave a Comment or Ask for Help:** If you have any questions or need help with this lab, please leave a comment below. We are here to help you master SQLite!
Course
SQLite
Database
Queries
Optimization
Security

Inserting, Updating, and Deleting Data

**Course Title:** SQLite Mastery: Lightweight Database Management **Section Title:** Inserting, Updating, and Deleting Data **Topic:** Perform data manipulation tasks using INSERT, UPDATE, and DELETE. (Lab topic) ## Introduction In the previous topics, we covered the basics of SQLite and explored how to create, manage, and query databases. Now, it's time to dive deeper into data manipulation tasks using INSERT, UPDATE, and DELETE. This lab topic is designed to provide hands-on experience with these essential SQL commands. ## Objective By the end of this lab, you will be able to: * Insert new data into existing tables * Update existing records in tables * Delete records from tables * Understand how to handle conflicts and use the REPLACE command ## Prerequisites Before starting this lab, make sure you have: * A SQLite database management system installed on your computer (e.g., DB Browser for SQLite, SQLite Studio, or the SQLite command-line tool) * A basic understanding of SQLite and SQL syntax (covered in previous topics) ## Lab Exercise 1: Inserting New Data In this exercise, you will create a new table and insert data into it using the INSERT INTO command. ### Step 1: Create a new table Open your SQLite database management system and create a new table called "employees" with the following columns: * employee_id ( INTEGER PRIMARY KEY ) * name ( TEXT NOT NULL ) * department ( TEXT NOT NULL ) * salary ( REAL NOT NULL ) Use the following SQL command to create the table: ```sql CREATE TABLE employees ( employee_id INTEGER PRIMARY KEY, name TEXT NOT NULL, department TEXT NOT NULL, salary REAL NOT NULL ); ``` ### Step 2: Insert data into the table Insert the following data into the "employees" table: | employee_id | name | department | salary | |------------|-------------|-------------|---------| | 1 | John Smith | Sales | 50000.0 | | 2 | Jane Doe | Marketing | 60000.0 | | 3 | Bob Brown | IT | 70000.0 | Use the following SQL command to insert the data: ```sql INSERT INTO employees (employee_id, name, department, salary) VALUES (1, 'John Smith', 'Sales', 50000.0), (2, 'Jane Doe', 'Marketing', 60000.0), (3, 'Bob Brown', 'IT', 70000.0); ``` ## Lab Exercise 2: Updating Existing Records In this exercise, you will update existing records in the "employees" table using the UPDATE command. ### Step 1: Update a single record Update the department of John Smith to "HR". Use the following SQL command to update the record: ```sql UPDATE employees SET department = 'HR' WHERE employee_id = 1; ``` ### Step 2: Update multiple records Update the salaries of all employees in the "IT" department by 10%. Use the following SQL command to update the records: ```sql UPDATE employees SET salary = salary * 1.1 WHERE department = 'IT'; ``` ## Lab Exercise 3: Deleting Records In this exercise, you will delete records from the "employees" table using the DELETE command. ### Step 1: Delete a single record Delete the record of John Smith. Use the following SQL command to delete the record: ```sql DELETE FROM employees WHERE employee_id = 1; ``` ### Step 2: Delete multiple records Delete all records of employees in the "Marketing" department. Use the following SQL command to delete the records: ```sql DELETE FROM employees WHERE department = 'Marketing'; ``` ## Handling Conflicts and Using the REPLACE Command In SQLite, you can use the REPLACE command to handle conflicts when inserting data into a table with a PRIMARY KEY or UNIQUE constraint. ### Step 1: Create a table with a PRIMARY KEY constraint Create a new table called "products" with a PRIMARY KEY constraint on the "product_id" column: ```sql CREATE TABLE products ( product_id INTEGER PRIMARY KEY, name TEXT NOT NULL, price REAL NOT NULL ); ``` ### Step 2: Insert data into the table Insert data into the "products" table using the INSERT INTO command: ```sql INSERT INTO products (product_id, name, price) VALUES (1, 'Product A', 10.99), (2, 'Product B', 9.99), (3, 'Product C', 12.99); ``` ### Step 3: Replace a record using the REPLACE command Replace the record of Product A with a new price: ```sql REPLACE INTO products (product_id, name, price) VALUES (1, 'Product A', 11.99); ``` ## Conclusion In this lab, you performed data manipulation tasks using INSERT, UPDATE, and DELETE. You also learned how to handle conflicts and use the REPLACE command. Remember to always use the correct syntax and consider the constraints on your tables when performing data manipulation tasks. **What's Next?** In the next topic, we will explore subqueries and their use cases. A subquery is a query nested inside another query. Subqueries can be used to return data that depends on the result of another query. **External Resources:** * SQLite Documentation: [INSERT INTO](https://www.sqlite.org/lang_insert.html) * SQLite Documentation: [UPDATE](https://www.sqlite.org/lang_update.html) * SQLite Documentation: [DELETE](https://www.sqlite.org/lang_delete.html) **Leave a Comment or Ask for Help:** If you have any questions or need help with this lab, please leave a comment below. We are here to help you master SQLite!

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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