Detect and Eliminate Update Anomalies in SQL
Identifying and Resolving Update Anomalies
Write a SQL query to identify and resolve update anomalies in a poorly designed table.
Solution:
-- Poorly designed table with update anomalies.
CREATE TABLE Students (
StudentID INT,
CourseID INT,
CourseName VARCHAR(100),
InstructorName VARCHAR(100)
);
-- Resolve anomalies by normalizing into three tables.
CREATE TABLE Courses (
CourseID INT PRIMARY KEY,
CourseName VARCHAR(100)
);
CREATE TABLE Instructors (
InstructorID INT PRIMARY KEY,
InstructorName VARCHAR(100)
);
CREATE TABLE StudentCourses (
StudentID INT,
CourseID INT,
InstructorID INT,
PRIMARY KEY (StudentID, CourseID),
FOREIGN KEY (CourseID) REFERENCES Courses(CourseID),
FOREIGN KEY (InstructorID) REFERENCES Instructors(InstructorID)
);
Explanation:
- Purpose of the Query :
- The goal is to identify update anomalies and resolve them through normalization.
- Key Components :
- Courses and Instructors: Store course and instructor details independently.
- StudentCourses: Links students to courses and instructors.
- Why Resolve Anomalies? :
- Update anomalies occur when changes to one attribute require updates in multiple rows.
- Normalization ensures consistency and reduces maintenance effort.
- Real-World Application :
- In school databases, normalization avoids inconsistencies in course and instructor data.
Notes:
- Update anomalies are common in denormalized tables.
- Use normalization to simplify updates and reduce errors.
- Important Considerations:
- Balance normalization with query performance.
For more Practice: Solve these Related Problems:
- Write a SQL query to identify update anomalies in a table where customer details and order details are stored together and resolve them through normalization.
- Write a SQL query to redesign a table storing employee roles and department details to avoid update anomalies.
- Write a SQL query to normalize a table containing product inventory and supplier details to eliminate update anomalies.
- Write a SQL query to resolve update anomalies in a table where course details and instructor details are combined.
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Previous SQL Exercise: Achieving Boyce-Codd Normal Form (BCNF).
Next SQL Exercise: Designing a Junction Table for Many-to-Many Relationships.
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