Calculate the sum of all ages in the `users` table.
Problem Statement
<p>Calculate the sum of all ages in the <code>users</code> table.</p>
Examples
Input: users table: +----+---------+-----+ | id | name | age | +----+---------+-----+ | 1 | Alice | 30 | | 2 | Bob | 25 | | 3 | Charlie | 35 | +----+---------+-----+
Output: +-----+ | sum | +-----+ | 90 | +-----+
Explanation: The records are grouped by category and the aggregate calculation is applied to produce the summary result.
Complexity
Time Complexity: -
Space Complexity: -
Hints
š” Hint 1:
Carefully review the required fields in the table schema.
š” Hint 2:
Construct a clean SELECT statement specifying the requested columns or wildcard *.
š” Hint 3:
Structure: SELECT <columns> FROM <table_name>;
Editorial & Approach
Problem Overview & Intuition
To solve "Sum of Values", we query the relational database engine using declarative SQL. The goal is to calculate the sum of all ages in the `users` 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 row projections to isolate the requested data.
- Format & Order: Ensure columns match the expected project schema in order.
Optimal Implementation (SQL)
SELECT SUM(age) FROM users;Complexity Analysis
Time Complexity
O(N)
Space Complexity
O(1)
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.