SQL Taskbook Level 5.6
The tables are given:
| id | user_id | amount | payment_type | bonuses_increases | bonuses_decreases | created_at |
| 1 | 3 | 80.50 | CARD | 0.85 | 0.00 | 2023-09-10 |
| 2 | 2 | 1700.13 | CARD | 17.00 | 1000.00 | 2023-09-27 |
| 3 | 5 | 214.34 | CARD | 2.14 | 50.00 | 2023-09-01 |
| 4 | 1 | 596.00 | CASH | 5.96 | 0.00 | 2023-10-08 |
| 5 | 3 | 800.18 | CASH | 8.00 | 0.00 | 2023-09-30 |
| 6 | 3 | 120.18 | CARD | 1.20 | 50.18 | 2023-10-03 |
| 7 | 2 | 1000.12 | CASH | 10.00 | 0.00 | 2023-09-20 |
| 8 | 1 | 81.78 | CASH | 8.17 | 0.00 | 2023-09-25 |
| 9 | 4 | 509.12 | CARD | 5.91 | 100.12 | 2023-10-07 |
| 10 | 5 | 100.50 | CASH | 1.00 | 0.00 | 2023-10-08 |
| id | name | age | city |
| 1 | Aaron | 43 | New-York |
| 2 | Marina | 20 | Minsk |
| 3 | Max | 23 | Kyiv |
| 4 | Catherine | 30 | Berlin |
| 5 | Andrew | 18 | Berlin |
Solve the following tasks for them:
Get a list of users and their transactions, also select transactions made by users that are not in this table. Using RIGHT JOIN.
Get usernames, city and age as well as transaction IDs they made. The selection should include all transactions from the table even if they do not have matches in the left table.
