For each department, concatenate all employee names separated by commas.
Problem Statement
Examples
Input: employees table: +----+---------+------------+ | id | name | department | +----+---------+------------+ | 1 | Alice | IT | | 2 | Bob | IT | | 3 | Charlie | HR | | 4 | Dana | HR | +----+---------+------------+
Output: +------------+---------------+ | department | team_members | +------------+---------------+ | HR | Charlie, Dana | | IT | Alice, Bob | +------------+---------------+
Explanation: Only records matching the specified criteria are returned in the final result.
Complexity
Time Complexity: -
Space Complexity: -
Hints
Editorial & Approach
Problem Overview & Intuition
To solve "STRING_AGG Function", we query the relational database engine using declarative SQL. The goal is to for each department, concatenate all employee names separated by commas. 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 grouping & aggregates to isolate the requested data.
- Format & Order: Sort the resulting records according to specified order criteria.
Optimal Implementation (SQL)
SELECT department, STRING_AGG(name, ', ' ORDER BY name) AS team_members FROM employees GROUP BY department;
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.