- Lab
- Data
SQL Fundamentals: Handling Transactions
In this lab, you'll learn how to create and execute SQL stored procedures and perform various data manipulation tasks. You'll practice building stored procedures for inserting and updating records, calling them with dynamic parameters, and using SQL functions such as CONCAT() and TIMESTAMPDIFF() to process and transform data. By the end of this lab, you'll be able to implement stored procedures to automate repetitive operations and manage data efficiently in a MySQL environment.
Path Info
Table of Contents
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Challenge
Introduction to Transactions
SQL Guide
For each task, replace or update the existing SQL code in the top pane (
main.sql) with your answer to the task and run it to see the results in the bottom pane (SQL Viewer).Step 1: Introduction to Transactions
In this step, you will explore the basics of transactions and how they help maintain data integrity by grouping multiple SQL operations into a single unit of work. You will learn how to start a transaction, commit the changes, or roll back the transaction to undo all changes. By the end of this step, you will understand how transactions work in SQL and be able to apply them to manage data changes effectively.
🫙 Database Structure
Tables You Will Be Working With:
Orders:
| Column Name | Data Type | |--------------|--------------------------------| | OrderID | INT PRIMARY KEY AUTO_INCREMENT | | CustomerID | INT | | OrderDate | TIMESTAMP | | TotalAmount | DECIMAL(10, 2) | | Status | VARCHAR(20) |
OrderItems:
| Column Name | Data Type | |---------------|--------------------------------| | OrderItemID | INT PRIMARY KEY AUTO_INCREMENT | | OrderID | INT | | ProductID | INT | | Quantity | INT | | Price | DECIMAL(10, 2) |
Products:
| Column Name | Data Type | |-----------------|--------------------------------| | ProductID | INT PRIMARY KEY AUTO_INCREMENT | | ProductName | VARCHAR(100) | | ProductDescription | TEXT | | Price | DECIMAL(10, 2) | | StockQuantity | INT |
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Challenge
Advanced Transaction Management
Step 2: Advanced Transaction Management
In this step, you will explore more advanced transaction management concepts, such as handling multiple operations within a single transaction and rolling back changes in the event of an error. You will learn how to perform updates, inserts, and condition checks across multiple tables and roll back or commit the changes. By the end of this step, you will understand how to manage more complex data operations within a single transaction block, ensuring data consistency.
🫙 Database Structure
Tables You Will Be Working With:
Orders:
| Column Name | Data Type | |--------------|--------------------------------| | OrderID | INT PRIMARY KEY AUTO_INCREMENT | | CustomerID | INT | | OrderDate | TIMESTAMP | | TotalAmount | DECIMAL(10, 2) | | Status | VARCHAR(20) |
OrderItems:
| Column Name | Data Type | |---------------|--------------------------------| | OrderItemID | INT PRIMARY KEY AUTO_INCREMENT | | OrderID | INT | | ProductID | INT | | Quantity | INT | | Price | DECIMAL(10, 2) |
Products:
| Column Name | Data Type | |-----------------|--------------------------------| | ProductID | INT PRIMARY KEY AUTO_INCREMENT | | ProductName | VARCHAR(100) | | ProductDescription | TEXT | | Price | DECIMAL(10, 2) | | StockQuantity | INT |
Sales:
| Column Name | Data Type | |-----------------|--------------------------------| | SaleID | INT PRIMARY KEY AUTO_INCREMENT | | ProductID | INT | | QuantitySold | INT | | SaleDate | TIMESTAMP | | TotalPrice | DECIMAL(10, 2) |
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Challenge
Concurrency Control
Step 3: Concurrency Control
In this step, you will explore advanced SQL techniques for managing concurrency in multi-user environments. You will learn about row-level locking, optimistic concurrency control, and how to detect and resolve deadlocks. These concepts are essential for preventing data conflicts when multiple users or processes are accessing and modifying the same data simultaneously. By the end of this step, you will be able to manage concurrent data operations and prevent conflicts in a multi-user environment.
🫙 Database Structure
Tables You Will Be Working With:
Customers:
| Column Name | Data Type | |---------------|--------------------------------| | CustomerID | INT PRIMARY KEY AUTO_INCREMENT | | FirstName | VARCHAR(50) | | LastName | VARCHAR(50) | | Email | VARCHAR(100) | | PhoneNumber | VARCHAR(20) | | Address | VARCHAR(255) | | CreatedAt | TIMESTAMP |
Orders:
| Column Name | Data Type | |--------------|--------------------------------| | OrderID | INT PRIMARY KEY AUTO_INCREMENT | | CustomerID | INT | | OrderDate | TIMESTAMP | | TotalAmount | DECIMAL(10, 2) | | Status | VARCHAR(20) |
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