2922. Market Analysis III π
Description
Table: Users
+----------------+---------+ | Column Name | Type | +----------------+---------+ | seller_id | int | | join_date | date | | favorite_brand | varchar | +----------------+---------+ seller_id is column of unique values for this table. This table contains seller id, join date, and favorite brand of sellers.
Table: Items
+---------------+---------+ | Column Name | Type | +---------------+---------+ | item_id | int | | item_brand | varchar | +---------------+---------+ item_id is the column of unique values for this table. This table contains item id and item brand.
Table: Orders
+---------------+---------+ | Column Name | Type | +---------------+---------+ | order_id | int | | order_date | date | | item_id | int | | seller_id | int | +---------------+---------+ order_id is the column of unique values for this table. item_id is a foreign key to the Items table. seller_id is a foreign key to the Users table. This table contains order id, order date, item id and seller id.
Write a solution to find the top seller who has sold the highest number of unique items with a different brand than their favorite brand. If there are multiple sellers with the same highest count, return all of them.
Return the result table ordered by seller_id
in ascending order.
The result format is in the following example.
Example 1:
Input: Users table: +-----------+------------+----------------+ | seller_id | join_date | favorite_brand | +-----------+------------+----------------+ | 1 | 2019-01-01 | Lenovo | | 2 | 2019-02-09 | Samsung | | 3 | 2019-01-19 | LG | +-----------+------------+----------------+ Orders table: +----------+------------+---------+-----------+ | order_id | order_date | item_id | seller_id | +----------+------------+---------+-----------+ | 1 | 2019-08-01 | 4 | 2 | | 2 | 2019-08-02 | 2 | 3 | | 3 | 2019-08-03 | 3 | 3 | | 4 | 2019-08-04 | 1 | 2 | | 5 | 2019-08-04 | 4 | 2 | +----------+------------+---------+-----------+ Items table: +---------+------------+ | item_id | item_brand | +---------+------------+ | 1 | Samsung | | 2 | Lenovo | | 3 | LG | | 4 | HP | +---------+------------+ Output: +-----------+-----------+ | seller_id | num_items | +-----------+-----------+ | 2 | 1 | | 3 | 1 | +-----------+-----------+ Explanation: - The user with seller_id 2 has sold three items, but only two of them are not marked as a favorite. We will include a unique count of 1 because both of these items are identical. - The user with seller_id 3 has sold two items, but only one of them is not marked as a favorite. We will include just that non-favorite item in our count. Since seller_ids 2 and 3 have the same count of one item each, they both will be displayed in the output.
Solutions
Solution 1: Equijoin + Grouping + Subquery
We can use equijoin to connect the Orders
table and the Users
table according to seller_id
, then connect Items
according to item_id
, and filter out the records where item_brand
is not equal to favorite_brand
. Then, group by seller_id
and count the number of item_id
corresponding to each seller_id
. Finally, use a subquery to find the seller_id
with the most item_id
.
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