SQL Quest › SQL Interview Questions › Subqueries & CTEs
Multi-CTE Revenue Pipeline
Build a multi-step analysis using chained CTEs. Step 1: calculate each customer's total_spent. Step 2: rank customers by total_spent using DENSE_RANK. Step 3: join with customers table to get name and membership. Final output: name, membership, total_spent, spending_rank. Only show top 10, ordered by spending_rank. Multi-CTE pipelines test your ability to decompose complex problems, which is what FAANG interviewers really evaluate.
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Schema
orders
| order_id | customer_id | product | category | quantity | price | total | order_date | country | status |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | Laptop Pro | Electronics | 1 | 1299.99 | 1299.99 | 2024-01-15 | USA | completed |
| 2 | 2 | Wireless Mouse | Electronics | 2 | 49.99 | 99.98 | 2024-01-16 | Canada | completed |
| 3 | 3 | Office Chair | Furniture | 1 | 349.99 | 349.99 | 2024-01-17 | USA | completed |
customers
| customer_id | name | signup_date | membership | total_orders | |
|---|---|---|---|---|---|
| 1 | John Smith | john.smith@email.com | 2023-01-15 | Gold | 15 |
| 2 | Emma Wilson | emma.wilson@email.com | 2023-03-20 | Silver | 8 |
| 3 | Michael Brown | michael.brown@email.com | 2023-02-10 | Gold | 12 |
Expected output: name: Alice, membership: Gold, total_spent: 5000, spending_rank: 1
Hint
Concepts
SELECT CTE JOIN Aggregation Window Functions GROUP BY
Practise the topic: SQL practice questions · CTE practice · JOIN practice · GROUP BY exercises · Window function practice · Ranking function practice · Advanced SQL interview questions
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