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Designing Recursive Relationships in SQL


Designing a Recursive Relationship for Hierarchical Data

Write a SQL query to design a recursive relationship for hierarchical data.

Solution:

-- Table representing a hierarchy of employees.
CREATE TABLE Employees (
    EmployeeID INT PRIMARY KEY,
    Name VARCHAR(100),
    ManagerID INT NULL,
    FOREIGN KEY (ManagerID) REFERENCES Employees(EmployeeID)
);

Explanation:

  • Purpose of the Query :
    • The goal is to design a recursive relationship to represent hierarchical data, such as an organizational chart.
  • Key Components :
    • ManagerID: References the same table to create a self-referencing relationship.
    • Allows representation of parent-child relationships within the same entity.
  • Why Use Recursive Relationships? :
  • Recursive relationships model hierarchical structures like organizational charts or category trees.
  • They simplify querying and maintaining hierarchical data.
  • Real-World Application :
    • In HR systems, recursive relationships track employee-manager hierarchies.

    Notes:

    • Recursive relationships require careful handling to avoid cycles or orphaned records.
    • Use Common Table Expressions (CTEs) or recursive queries to traverse hierarchies.
    • Important Considerations:
      • Ensure that the root node (e.g., top-level manager) has a NULL value for ManagerID.

    For more Practice: Solve these Related Problems:

    • Write a SQL query to design a recursive relationship for a table representing a company's organizational chart with multiple management levels.
    • Write a SQL query to model a category hierarchy for an e-commerce platform using a recursive relationship.
    • Write a SQL query to represent a folder structure in a file management system using a recursive relationship.
    • Write a SQL query to design a recursive relationship for a table storing multi-level bill of materials (BOM) in manufacturing.


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    Previous SQL Exercise: Identifying Functional Dependencies in a Table.
    Next SQL Exercise: Designing a Weak Entity for Dependent Data.

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