Skip to content

Latest commit

 

History

History
117 lines (94 loc) · 3.82 KB

README_EN.md

File metadata and controls

117 lines (94 loc) · 3.82 KB
Raw
comments difficulty edit_url tags
true
Medium
Database

2986. Find Third Transaction 🔒

中文文档

Description

Table: Transactions

+------------------+----------+
| Column Name      | Type     |
+------------------+----------+
| user_id          | int      |
| spend            | decimal  |
| transaction_date | datetime |
+------------------+----------+
(user_id, transaction_date) is column of unique values for this table.
This table contains user_id, spend, and transaction_date.

Write a solution to find the third transaction (if they have at least three transactions) of every user, where the spending on the preceding two transactions is lower than the spending on the third transaction.

Return the result table by user_id in ascending order.

The result format is in the following example.

 

Example 1:

Input: 
Transactions table:
+---------+--------+---------------------+
| user_id | spend  | transaction_date    | 
+---------+--------+---------------------+
| 1       | 65.56  | 2023-11-18 13:49:42 | 
| 1       | 96.0   | 2023-11-30 02:47:26 |     
| 1       | 7.44   | 2023-11-02 12:15:23 | 
| 1       | 49.78  | 2023-11-12 00:13:46 | 
| 2       | 40.89  | 2023-11-21 04:39:15 |  
| 2       | 100.44 | 2023-11-20 07:39:34 | 
| 3       | 37.33  | 2023-11-03 06:22:02 | 
| 3       | 13.89  | 2023-11-11 16:00:14 | 
| 3       | 7.0    | 2023-11-29 22:32:36 | 
+---------+--------+---------------------+
Output
+---------+-------------------------+------------------------+
| user_id | third_transaction_spend | third_transaction_date | 
+---------+-------------------------+------------------------+
| 1       | 65.56                   | 2023-11-18 13:49:42    |  
+---------+-------------------------+------------------------+
Explanation
- For user_id 1, their third transaction occurred on 2023-11-18 at 13:49:42 with an amount of $65.56, surpassing the expenditures of the previous two transactions which were $7.44 on 2023-11-02 at 12:15:23 and $49.78 on 2023-11-12 at 00:13:46. Thus, this third transaction will be included in the output table.
- user_id 2 only has a total of 2 transactions, so there isn't a third transaction to consider.
- For user_id 3, the amount of $7.0 for their third transaction is less than that of the preceding two transactions, so it won't be included.
Output table is ordered by user_id in ascending order.

Solutions

Solution 1

MySQL

# Write your MySQL query statement below
WITH
    T AS (
        SELECT
            *,
            RANK() OVER (
                PARTITION BY user_id
                ORDER BY transaction_date
            ) AS rk,
            spend > (
                LAG(spend) OVER (
                    PARTITION BY user_id
                    ORDER BY transaction_date
                )
            )
            AND spend > (
                LAG(spend, 2) OVER (
                    PARTITION BY user_id
                    ORDER BY transaction_date
                )
            ) AS st
        FROM Transactions
    )
SELECT user_id, spend AS third_transaction_spend, transaction_date AS third_transaction_date
FROM T
WHERE rk = 3 AND st = 1;