Find each employee and their manager name using a self join on the `employees` table.
Problem Statement
Examples
Input: employees table: +----+---------+------------+ | id | name | manager_id | +----+---------+------------+ | 1 | Boss | NULL | | 2 | Alice | 1 | | 3 | Bob | 1 | | 4 | Charlie | 2 | +----+---------+------------+
Output: +----------+---------+ | employee | manager | +----------+---------+ | Boss | null | | Alice | Boss | | Bob | Boss | | Charlie | Alice | +----------+---------+
Explanation: The query joins the matching records on the related keys and projects the requested fields.
Complexity
Time Complexity: -
Space Complexity: -
Hints
Editorial & Approach
Problem Overview & Intuition
To solve "Self Join", we query the relational database engine using declarative SQL. The goal is to find each employee and their manager name using a self join on the `employees` table. 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)
SELECT e.name AS employee, m.name AS manager FROM employees e LEFT JOIN employees m ON e.manager_id = m.id;
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.