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In this post, we aim to provide a comprehensive guide to building a conference registration and attendance tracking system using Structured Query Language (SQL).
Creating the Necessary Tables
We begin by creating tables that will hold all necessary data.
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CREATE TABLE Attendees ( AttendeeID int PRIMARY KEY, FullName varchar(255) NOT NULL, Email varchar(255) UNIQUE NOT NULL ); CREATE TABLE Conferences ( ConferenceID int PRIMARY KEY, ConferenceName varchar(255) UNIQUE NOT NULL, Location varchar(255) NOT NULL, StartDate date NOT NULL, EndDate date NOT NULL ); CREATE TABLE Registration( AttendeeID int, ConferenceID int, RegistrationTime datetime NOT NULL DEFAULT GETDATE(), PRIMARY KEY (AttendeeID, ConferenceID), FOREIGN KEY (AttendeeID) REFERENCES Attendees (AttendeeID), FOREIGN KEY (ConferenceID) REFERENCES Conferences (ConferenceID) ); |
Registering Attendees to a Conference
For an example, we assume an attendee with ID 1 is registering for a conference with ID 2.
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INSERT INTO Registration (AttendeeID, ConferenceID) VALUES (1, 2); |
Tracking Conference Attendance
Next, we’ll create a table for tracking attendance during the conference itself.
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CREATE TABLE Attendance( AttendeeID int, ConferenceID int, EntryTime datetime NOT NULL DEFAULT GETDATE(), ExitTime datetime, PRIMARY KEY (AttendeeID, ConferenceID, EntryTime), FOREIGN KEY (AttendeeID) REFERENCES Attendees (AttendeeID), FOREIGN KEY (ConferenceID) REFERENCES Conferences (ConferenceID) ); |
With this table, we can track when an attendee enters and exits the conference. Also, we can extract insights such as overall attendance duration for each attendee.
Retrieving Data
With our tables set up and populated with some data, we can now run some queries. For instance, we can list attendees of a specific conference.
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SELECT a.FullName FROM Attendees a INNER JOIN Registration r ON a.AttendeeID = r.AttendeeID WHERE r.ConferenceID = 1; |
This wraps up our guide on building a conference registration and attendance tracking system with SQL. By understanding and using different SQL commands, we can structure diverse datasets and extract invaluable information. Happy coding!