For an instructor lead, in-depth look at learning SQL click below.
Introduction
In this blog post, we’ll explore how to design a pet adoption application. This application will also feature an animal matching system, integrated using SQL as the primary language for database management. Knowing SQL, or Structured Query Language, will equip you with the necessary skills to accomplish tasks such as adding a record, searching, and more efficiently in your application.
Table Structure and Relationships
Our application will have three primary tables: ‘Users’, ‘Pets’, and ‘Adoptions’. ‘Users’ will contain information about the individuals looking to adopt pets, ‘Pets’ will store information on available pets, and ‘Adoptions’ will store the records of which user has adopted which pet.
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CREATE TABLE Users ( ID INT PRIMARY KEY, Name VARCHAR(100), Email VARCHAR(50), ); CREATE TABLE Pets ( ID INT PRIMARY KEY, Name VARCHAR(100), Species VARCHAR(50), Breed VARCHAR(50), Age INT, ); CREATE TABLE Adoptions ( UserID INT, PetID INT, AdoptionDate DATE, PRIMARY KEY (UserID, PetID), FOREIGN KEY (UserID) REFERENCES Users(ID), FOREIGN KEY (PetID) REFERENCES Pets(ID) ); |
Retrieving Data
To retrieve data from our tables, we will use the SELECT statement. For instance, we could retrieve all information on the pets owned by a particular user with the following query:
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SELECT Pets.* FROM Pets INNER JOIN Adoptions ON Pets.ID = Adoptions.PetID WHERE Adoptions.UserID = @UserID |
Adding a New Adoption Record
When a user adopts a pet, we need to add a record in the ‘Adoptions’ table to represent this. We can use the INSERT INTO statement to do this:
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INSERT INTO Adoptions (UserID, PetID, AdoptionDate) VALUES (@UserID, @PetID, GETDATE()) |
Conclusion
Overall, SQL provides a robust and flexible way to handle data for complex applications such as our pet adoption application. By properly utilizing SQL’s features, we can efficiently and effectively manage our data and ensure that our application runs smoothly.