-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path1082-SalesAnalysisI.sql
More file actions
95 lines (94 loc) · 2.78 KB
/
1082-SalesAnalysisI.sql
File metadata and controls
95 lines (94 loc) · 2.78 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
-- 1082. Sales Analysis I
-- Table: Product
--
-- +--------------+---------+
-- | Column Name | Type |
-- +--------------+---------+
-- | product_id | int |
-- | product_name | varchar |
-- | unit_price | int |
-- +--------------+---------+
-- product_id is the primary key of this table.
-- Each row of this table indicates the name and the price of each product.
-- Table: Sales
--
-- +-------------+---------+
-- | Column Name | Type |
-- +-------------+---------+
-- | seller_id | int |
-- | product_id | int |
-- | buyer_id | int |
-- | sale_date | date |
-- | quantity | int |
-- | price | int |
-- +-------------+---------+
-- This table has no primary key, it can have repeated rows.
-- product_id is a foreign key to the Product table.
-- Each row of this table contains some information about one sale.
--
--
-- Write an SQL query that reports the best seller by total sales price, If there is a tie, report them all.
--
-- Return the result table in any order.
--
-- The query result format is in the following example.
--
--
--
-- Example 1:
--
-- Input:
-- Product table:
-- +------------+--------------+------------+
-- | product_id | product_name | unit_price |
-- +------------+--------------+------------+
-- | 1 | S8 | 1000 |
-- | 2 | G4 | 800 |
-- | 3 | iPhone | 1400 |
-- +------------+--------------+------------+
-- Sales table:
-- +-----------+------------+----------+------------+----------+-------+
-- | seller_id | product_id | buyer_id | sale_date | quantity | price |
-- +-----------+------------+----------+------------+----------+-------+
-- | 1 | 1 | 1 | 2019-01-21 | 2 | 2000 |
-- | 1 | 2 | 2 | 2019-02-17 | 1 | 800 |
-- | 2 | 2 | 3 | 2019-06-02 | 1 | 800 |
-- | 3 | 3 | 4 | 2019-05-13 | 2 | 2800 |
-- +-----------+------------+----------+------------+----------+-------+
-- Output:
-- +-------------+
-- | seller_id |
-- +-------------+
-- | 1 |
-- | 3 |
-- +-------------+
-- Explanation: Both sellers with id 1 and 3 sold products with the most total price of 2800.
--
-- Write your MySQL query statement below
SELECT
seller_id
FROM
( -- 销售 & 总额
SELECT
seller_id,
SUM(price) AS total
FROM
Sales
GROUP BY
seller_id
) AS a
WHERE
total = (
SELECT -- 取最大的值
MAX(b.total)
FROM
( -- 销售 & 总额
SELECT
seller_id,
SUM(price) AS total
FROM
Sales
GROUP BY
seller_id
) AS b
)