Description
https://leetcode.com/problems/sellers-with-no-sales/
Table: Customer
+---------------+---------+ | Column Name | Type | +---------------+---------+ | customer_id | int | | customer_name | varchar | +---------------+---------+ customer_id is the primary key for this table. Each row of this table contains the information of each customer in the WebStore.
Table: Orders
+---------------+---------+ | Column Name | Type | +---------------+---------+ | order_id | int | | sale_date | date | | order_cost | int | | customer_id | int | | seller_id | int | +---------------+---------+ order_id is the primary key for this table. Each row of this table contains all orders made in the webstore. sale_date is the date when the transaction was made between the customer (customer_id) and the seller (seller_id).
Table: Seller
+---------------+---------+ | Column Name | Type | +---------------+---------+ | seller_id | int | | seller_name | varchar | +---------------+---------+ seller_id is the primary key for this table. Each row of this table contains the information of each seller.
Write an SQL query to report the names of all sellers who did not make any sales in 2020.
Return the result table ordered by seller_name
in ascending order.
The query result format is in the following example.
Customer
table: +--------------+---------------+ | customer_id | customer_name | +--------------+---------------+ | 101 | Alice | | 102 | Bob | | 103 | Charlie | +--------------+---------------+Orders
table: +-------------+------------+--------------+-------------+-------------+ | order_id | sale_date | order_cost | customer_id | seller_id | +-------------+------------+--------------+-------------+-------------+ | 1 | 2020-03-01 | 1500 | 101 | 1 | | 2 | 2020-05-25 | 2400 | 102 | 2 | | 3 | 2019-05-25 | 800 | 101 | 3 | | 4 | 2020-09-13 | 1000 | 103 | 2 | | 5 | 2019-02-11 | 700 | 101 | 2 | +-------------+------------+--------------+-------------+-------------+Seller
table: +-------------+-------------+ | seller_id | seller_name | +-------------+-------------+ | 1 | Daniel | | 2 | Elizabeth | | 3 | Frank | +-------------+-------------+ Result table: +-------------+ |seller_name
| +-------------+ | Frank | +-------------+ Daniel made 1 sale in March 2020. Elizabeth made 2 sales in 2020 and 1 sale in 2019. Frank made 1 sale in 2019 but no sales in 2020.
Explanation
First query out the seller ids where has orders in 2020 and then join the seller ids with Seller table to get seller names.
SQL Solution
# Write your MySQL query statement below
SELECT seller_name from Seller a
where a.seller_id not in
(select seller_id from Orders where sale_date >= '2020-01-01' and sale_date <= '2020-12-31')
order by seller_name asc