Calculate a chronological running total of order amounts and return every order with its date, amount, and cumulative revenue. Return columns: id, order_date, total_amount, running_total. Order results by: order_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS running_total FROM orders ORDER BY order_date.
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Calculate a chronological running total of order amounts and return every order with its date, amount, and cumulative revenue. Return columns: id, order_date, total_amount, running_total. Order results by: order_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS running_total FROM orders ORDER BY order_date.
| id INTEGER | name TEXT | email TEXT | country TEXT | joined_date TEXT |
|---|---|---|---|---|
| 1 | Acme Corp | acme@corp.com | USA | 2020-01-15 |
| 2 | TechStart Ltd | ts@techstart.io | UK | 2020-03-22 |
| 3 | DataFlow Inc | info@dataflow.com | USA | 2021-06-10 |
| id INTEGER | name TEXT |
|---|
| category TEXT |
|---|
| price REAL |
|---|
| stock INTEGER |
|---|
| 1 | Analytics Dashboard | Software | 299 | 999 |
| 2 | Data Warehouse | Infrastructure | 1499 | 50 |
| 3 | ML Pipeline | Software | 799 | 999 |
| id INTEGER | customer_id INTEGER | order_date TEXT | total_amount REAL | status TEXT |
|---|---|---|---|---|
| 1 | 1 | 2024-01-10 | 2697 | completed |
| 2 | 2 | 2024-01-15 | 799 | completed |
| 3 | 1 | 2024-02-01 | 1499 | completed |
| id INTEGER | order_id INTEGER | product_id INTEGER | quantity INTEGER | unit_price REAL |
|---|---|---|---|---|
| 1 | 1 | 1 | 3 | 299 |
| 2 | 1 | 4 | 8 | 99 |
| 3 | 2 | 3 | 1 | 799 |