Find all employees and their managers using a recursive CTE.
Problem Statement
Examples
Input: employees table: +----+-------+------------+ | id | name | manager_id | +----+-------+------------+ | 1 | Boss | NULL | | 2 | Alice | 1 | | 3 | Bob | 2 | +----+-------+------------+
Output: +----+-------+------------+-------+ | id | name | manager_id | level | +----+-------+------------+-------+ | 1 | Boss | null | 1 | | 2 | Alice | 1 | 2 | | 3 | Bob | 2 | 3 | +----+-------+------------+-------+
Explanation: The query retrieves the requested records satisfying all problem requirements.
Complexity
Time Complexity: -
Space Complexity: -
Hints
Editorial & Approach
Problem Overview & Intuition
To solve "Recursive CTE (Hierarchical Data)", we query the relational database engine using declarative SQL. The goal is to find all employees and their managers using a recursive cte. By formulating an optimal execution plan with appropriate projection and filtering, the database engine executes the query with minimal overhead.
Step-by-Step Approach
- Analyze Schema: Identify the target tables, necessary foreign keys, and expected output columns.
- Construct Filtering & Logic: Apply table joins to isolate the requested data.
- Format & Order: Ensure columns match the expected project schema in order.
Optimal Implementation (SQL)
WITH RECURSIVE emp_hierarchy AS (SELECT id, name, manager_id, 1 AS level FROM employees WHERE manager_id IS NULL UNION ALL SELECT e.id, e.name, e.manager_id, h.level + 1 FROM employees e JOIN emp_hierarchy h ON e.manager_id = h.id) SELECT * FROM emp_hierarchy;
Complexity Analysis
Key Considerations & Edge Cases
- Empty Tables: The query executes safely returning zero rows without syntax error.
- NULL Values: Columns containing NULL values are properly handled by standard ANSI SQL semantics.
- Case Sensitivity: String comparisons and keywords adhere to PostgreSQL/standard SQL rules.