For an instructor lead, in-depth look at learning SQL click below.
Tracking donations and their distribution can be a complex task, all the more so when we’re dealing with a system that operates at a large scale. This is where SQL steps in. With its capability to handle extensive databases, SQL provides a foundation to create a robust and scalable system for tracking donations.
The Concept
The prime objective is to ascertain each donation, its donor details, the recipient details, and information about when and where it was distributed. We will need a few tables to store these details in a structured way that allows easy retrieval, insertion, and update. Let’s say we create tables named Donors, Donations, and Distributions.
Creating the Tables
Let’s create our tables:
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
CREATE TABLE Donors ( Donor_ID INT PRIMARY KEY, Donor_Name VARCHAR(100), Donor_Contact_Info VARCHAR(100) ); CREATE TABLE Donations ( Donation_ID INT PRIMARY KEY, Donor_ID INT, Donation_Date DATE, Donation_Amount DECIMAL(10 , 2), FOREIGN KEY (Donor_ID) REFERENCES Donors(Donor_ID) ); CREATE TABLE Distributions ( Distribution_ID INT PRIMARY KEY, Donation_ID INT, Recipient_Name VARCHAR(100), Distribution_Date DATE, FOREIGN KEY (Donation_ID) REFERENCES Donations(Donation_ID) ); |
These queries will create our three tables and link them using foreign keys.
Adding and Reading Data
To insert data into these tables, we can use the following SQL commands:
|
1 2 3 4 5 |
INSERT INTO Donors VALUES (1, 'John Doe', <a href="mailto:'johndoe@example.com'" >'johndoe@example.com'</a>); INSERT INTO Donations VALUES (1, 1, '2021-06-01', 500.00); INSERT INTO Distributions VALUES (1, 1, 'Charity Organization 1', '2021-06-02'); |
To read data from these tables, we can use the following SQL commands:
|
1 2 3 4 5 |
SELECT * FROM Donors; SELECT * FROM Donations; SELECT * FROM Distributions; |
Conclusion
SQL provides a set of robust tools to enable tracking of complicated systems like donation distributions. The system we’ve discussed is a simplified version, but SQL can manage and scale this to fit your specific needs. Practice using SQL, and you will find it an indispensable tool in your data management toolkit.