Write a query to compute the percentage of total revenue contributed by each product category.
-
SQL
- Write a SQL query to find the second highest salary from an Employees table without using LIMIT or TOP.
- Write a query to find all customers who placed orders in every month of 2025.
- Write a query to identify duplicate rows in a Transactions table based on customer_id, amount, and date.
- Write a query using GROUP BY and HAVING to find departments with more than 10 employees earning above the department average salary.
- Write a query to return the top 3 selling products per category using a subquery (no window functions allowed).
- Write a query to calculate the running total of daily revenue for a store using a self-join.
- Write a query to find the average order value per customer segment, excluding cancelled orders.
- Write a query to find employees who earn more than their direct manager, using a self-join on an Employees table.
- Write a query to list all customers who have not placed any order in the last 90 days.
- Write a query to compute the percentage of total revenue contributed by each product category.
- Write a query to find the first purchase date and last purchase date for every customer.
- Write a query to find the three most recent orders for each customer.
- Write a query that returns customers whose total spend is above the 90th percentile of all customers.
- Write a query to find customers who bought Product A but never bought Product B.
- Write a query to count how many orders each customer placed and rank customers by order count within their city.
- Write a query to identify the busiest hour of the day for support ticket creation using a Tickets table.
- Write a query to find the top 5 referral sources by conversion rate from a Signups table.
- Write a query using EXISTS to find suppliers who have never had a late delivery.
- Write a query to detect gaps in a sequential invoice_number column.
- Write a query to find all products whose price increased in the last price update compared to the previous one.
- Write a query to calculate month-over-month growth rate in active users from a DailyActiveUsers table.
- Write a query to return the department with the highest average tenure of employees.
- Write a query to find all orders placed on weekends versus weekdays and compare average order value.
- Write a query to find customers who upgraded their subscription plan more than once in the last year.
- Write a query to return the top 10% of sales reps by revenue generated in Q1.
- Write a query using a CTE to calculate a 7-day moving average of website visits.
- Write a query to find all patients who missed at least two scheduled appointments in the past year.
- Write a query to identify employees who have never taken a single day of leave in the last two years.
- Write a query to compute year-over-year revenue comparison for each region using self-joins.
- Write a query to find the longest streak of consecutive days a user logged into an app.
- Write a query to identify vendors whose invoice amounts differ by more than 15% from their historical average.
- Write a query to find all students who scored above the class average in more than 3 subjects.
- Write a query to detect accounts with more than 5 failed login attempts within a 10-minute window.
- Write a query to find the second most frequently ordered item for each customer.
- Write a query to identify products frequently bought together, based on an OrderItems table.
- Write a query to find the average time between a support ticket being opened and first responded to, grouped by priority.
- Write a query to find the top-selling product in each store location for the current quarter.
- Write a query to list all foreign keys referencing a given table in a schema (engine-specific system tables allowed).
- Write a query to compute the cumulative distinct count of new customers acquired each month.
Answer
Divide each category's revenue by the total revenue across all categories, computed with a window function so the grand total is available on every row.
Solution
SELECT category,
SUM(revenue) AS category_revenue,
ROUND(100.0 * SUM(revenue) / SUM(SUM(revenue)) OVER (), 2) AS pct_of_total
FROM Sales
GROUP BY category;Step by Step
SUM(revenue)grouped bycategorygives each category's own total revenue.SUM(SUM(revenue)) OVER ()- a window function applied over an aggregate - computes the grand total across all categories, repeated on every output row (the emptyOVER ()means no partitioning, so it spans the whole result set).- Dividing the category total by the grand total, multiplied by 100, gives the percentage contribution.
Alternative Method: Subquery for the Grand Total
SELECT category,
SUM(revenue) AS category_revenue,
ROUND(100.0 * SUM(revenue) / (SELECT SUM(revenue) FROM Sales), 2) AS pct_of_total
FROM Sales
GROUP BY category;This version computes the grand total once via a scalar subquery, entirely independent of the outer GROUP BY - functionally identical, and arguably easier to read for someone less familiar with nesting an aggregate inside a window function.
Key Exam Traps
- Integer division: Writing
100 * SUM(revenue) / SUM(...)without at least one decimal literal (like100.0) can silently truncate to integer division on some databases, producing 0% for every small category. Always force floating-point division explicitly. - SUM(SUM(...)) looks unusual but is valid: the inner
SUM(revenue)is the grouped aggregate per category, and the outerSUM(...) OVER ()re-aggregates those already-grouped values across the whole result - a nested aggregate window, not a syntax error. - Rounding before vs after division changes precision - round only at the very end, never on intermediate values, to avoid compounding rounding errors across categories that should sum to exactly 100%.