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1555. Bank Account Summary
Description
Table: Users
+--------------+---------+ | Column Name | Type | +--------------+---------+ | user_id | int | | user_name | varchar | | credit | int | +--------------+---------+ user_id is the primary key (column with unique values) for this table. Each row of this table contains the current credit information for each user.
Table: Transactions
+---------------+---------+ | Column Name | Type | +---------------+---------+ | trans_id | int | | paid_by | int | | paid_to | int | | amount | int | | transacted_on | date | +---------------+---------+ trans_id is the primary key (column with unique values) for this table. Each row of this table contains information about the transaction in the bank. User with id (paid_by) transfer money to user with id (paid_to).
Leetcode Bank (LCB) helps its coders in making virtual payments. Our bank records all transactions in the table Transaction, we want to find out the current balance of all users and check whether they have breached their credit limit (If their current credit is less than 0
).
Write a solution to report.
user_id
,user_name
,credit
, current balance after performing transactions, andcredit_limit_breached
, check credit_limit ("Yes"
or"No"
)
Return the result table in any order.
The result format is in the following example.
Example 1:
Input: Users table: +------------+--------------+-------------+ | user_id | user_name | credit | +------------+--------------+-------------+ | 1 | Moustafa | 100 | | 2 | Jonathan | 200 | | 3 | Winston | 10000 | | 4 | Luis | 800 | +------------+--------------+-------------+ Transactions table: +------------+------------+------------+----------+---------------+ | trans_id | paid_by | paid_to | amount | transacted_on | +------------+------------+------------+----------+---------------+ | 1 | 1 | 3 | 400 | 2020-08-01 | | 2 | 3 | 2 | 500 | 2020-08-02 | | 3 | 2 | 1 | 200 | 2020-08-03 | +------------+------------+------------+----------+---------------+ Output: +------------+------------+------------+-----------------------+ | user_id | user_name | credit | credit_limit_breached | +------------+------------+------------+-----------------------+ | 1 | Moustafa | -100 | Yes | | 2 | Jonathan | 500 | No | | 3 | Winston | 9900 | No | | 4 | Luis | 800 | No | +------------+------------+------------+-----------------------+ Explanation: Moustafa paid 400 on "2020-08-01" and received 200 on "2020-08-03", credit (100 -400 +200) = -100 Jonathan received 500 on "2020-08-02" and paid 200 on "2020-08-08", credit (200 +500 -200) = 500 Winston received 400 on "2020-08-01" and paid 500 on "2020-08-03", credit (10000 +400 -500) = 9990 Luis did not received any transfer, credit = 800
Solutions
– step 1, intermediate data: transanction per user
/*
| trans_id | paid_by | paid_to | amount | transacted_on |
+------------+------------+------------+----------+---------------+
| 1 | 1 | 3 | 400 | 2020-08-01 |
will become
| user_id | trans |
+------------+------------+
| 1 | -400 |
| 3 | 400 |
*/
– step 2, aggregate step-1 result to get final result
-
# Write your MySQL query statement below -- step 1, intermediate data: transanction per user select paid_by as user_id, -amount as trans from Transaction union all select paid_to as user_id, amount as trans from Transaction -- step 2, aggregate step-1 result to get final result select Users.user_id as user_id , Users.user_name as user_name , credit + ifnull(sum(trans),0) as credit , case when credit + ifnull(sum(trans),0) > 0 then 'No' else 'Yes' end as credit_limit_breached from( select paid_by as user_id, -amount as trans from Transaction union all select paid_to as user_id, amount as trans from Transaction ) t right join users on t.user_id=users.user_id group by user_id ------ SELECT t.user_id, user_name, SUM(t.credit) AS credit, IF(SUM(t.credit) < 0, 'Yes', 'No') AS credit_limit_breached FROM ( SELECT paid_by AS user_id, -amount AS credit FROM Transactions UNION ALL SELECT paid_to AS user_id, amount AS credit FROM Transactions UNION ALL SELECT user_id, credit FROM Users ) AS t JOIN Users AS u ON t.user_id = u.user_id GROUP BY t.user_id;