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SQL (Structured Query Language) is a versatile and powerful tool for managing data stored in relational databases. In this post, we will illustrate how you can use SQL to create a pet adoption application system. Our aim is to highlight how SQL can handle complex data management tasks in a simple, straightforward manner.
Tables creation in our database
First, let us assume that we have three primary entities within our system – the pets, the applicants, and the applications themselves. We’ll begin by creating tables for each of these entities in our SQL database:
Pets Table
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CREATE TABLE Pets ( PetID INT PRIMARY KEY, Name VARCHAR(100), Type VARCHAR(100), Age INT, HealthCondition VARCHAR(100), Availability VARCHAR(50) ); |
Applicants Table
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CREATE TABLE Applicants ( ApplicantID INT PRIMARY KEY, Name VARCHAR(100), Phone VARCHAR(15), Email VARCHAR(50), Address VARCHAR(200) ); |
Applications Table
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CREATE TABLE Applications ( ApplicationID INT PRIMARY KEY, PetID INT, ApplicantID INT, ApplicationDate DATE, Status VARCHAR(50), FOREIGN KEY (PetID) REFERENCES Pets(PetID), FOREIGN KEY (ApplicantID) REFERENCES Applicants(ApplicantID) ); |
Now that we have our tables defined, we can start inputting data and querying it as necessary.
Handling Pet Adoption Applications
A key feature of a pet adoption application system is the ability to process applications. With our tables defined, we can use INSERT statements to put data into these tables:
Inserting new application
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INSERT INTO Applications(PetID, ApplicantID, ApplicationDate, Status) VALUES (1, 1, '2021-08-01', 'Pending'); |
Checking the Status of an Application
SQL’s powerful SELECT statement, combined with WHERE clauses, allows us to easily fetch the status of a particular application:
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SELECT Status FROM Applications WHERE ApplicationID = 1; |
Conclusion
Through the simple SQL commands and operations demonstrated above, we can effectively manage a pet adoption application system. While this serves as a basic example, the principles can be expanded to handle more complex situations, involve more tables and forms of data, and create an efficient, robust database for pet adoption.