1831. Maximum Transaction Each Day

Description

Table: Transactions

+----------------+----------+
| Column Name    | Type     |
+----------------+----------+
| transaction_id | int      |
| day            | datetime |
| amount         | int      |
+----------------+----------+
transaction_id is the column with unique values for this table.
Each row contains information about one transaction.

Write a solution to report the IDs of the transactions with the maximum amount on their respective day. If in one day there are multiple such transactions, return all of them.

Return the result table ordered by transaction_id in ascending order.

The result format is in the following example.

Example 1:

Input: 
Transactions table:
+----------------+--------------------+--------+
| transaction_id | day                | amount |
+----------------+--------------------+--------+
| 8              | 2021-4-3 15:57:28  | 57     |
| 9              | 2021-4-28 08:47:25 | 21     |
| 1              | 2021-4-29 13:28:30 | 58     |
| 5              | 2021-4-28 16:39:59 | 40     |
| 6              | 2021-4-29 23:39:28 | 58     |
+----------------+--------------------+--------+
Output: 
+----------------+
| transaction_id |
+----------------+
| 1              |
| 5              |
| 6              |
| 8              |
+----------------+
Explanation: 
"2021-4-3"  --> We have one transaction with ID 8, so we add 8 to the result table.
"2021-4-28" --> We have two transactions with IDs 5 and 9. The transaction with ID 5 has an amount of 40, while the transaction with ID 9 has an amount of 21. We only include the transaction with ID 5 as it has the maximum amount this day.
"2021-4-29" --> We have two transactions with IDs 1 and 6. Both transactions have the same amount of 58, so we include both in the result table.
We order the result table by transaction_id after collecting these IDs.

Follow up: Could you solve it without using the MAX() function?

Solutions

Solution 1: Window Function

We can use the window function RANK(), which assigns a rank to each transaction based on its amount in descending order, and then select the transactions with a rank of $1$.

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15

# Write your MySQL query statement below
WITH
    T AS (
        SELECT
            transaction_id,
            RANK() OVER (
                PARTITION BY DAY(day)
                ORDER BY amount DESC
            ) AS rk
        FROM Transactions
    )
SELECT transaction_id
FROM T
WHERE rk = 1
ORDER BY 1;