1484. Group Sold Products By The Date

LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL

@@ -0,0 +1,64 @@
+1484. Group Sold Products By The Date
+Solved
+Easy
+Topics
+Companies
+SQL Schema
+Pandas Schema
+Table Activities:
+
++-------------+---------+
+| Column Name | Type    |
++-------------+---------+
+| sell_date   | date    |
+| product     | varchar |
++-------------+---------+
+There is no primary key (column with unique values) for this table. It may contain duplicates.
+Each row of this table contains the product name and the date it was sold in a market.
+
+
+Write a solution to find for each date the number of different products sold and their names.
+
+The sold products names for each date should be sorted lexicographically.
+
+Return the result table ordered by sell_date.
+
+The result format is in the following example.
+
+
+
+Example 1:
+
+Input: 
+Activities table:
++------------+------------+
+| sell_date  | product     |
++------------+------------+
+| 2020-05-30 | Headphone  |
+| 2020-06-01 | Pencil     |
+| 2020-06-02 | Mask       |
+| 2020-05-30 | Basketball |
+| 2020-06-01 | Bible      |
+| 2020-06-02 | Mask       |
+| 2020-05-30 | T-Shirt    |
++------------+------------+
+Output: 
++------------+----------+------------------------------+
+| sell_date  | num_sold | products                     |
++------------+----------+------------------------------+
+| 2020-05-30 | 3        | Basketball,Headphone,T-shirt |
+| 2020-06-01 | 2        | Bible,Pencil                 |
+| 2020-06-02 | 1        | Mask                         |
++------------+----------+------------------------------+
+Explanation: 
+For 2020-05-30, Sold items were (Headphone, Basketball, T-shirt), we sort them lexicographically and separate them by a comma.
+For 2020-06-01, Sold items were (Pencil, Bible), we sort them lexicographically and separate them by a comma.
+For 2020-06-02, the Sold item is (Mask), we just return it.
+
+
+
+select sell_date, count( DISTINCT product ) as num_sold ,
+
+    GROUP_CONCAT( DISTINCT product order by product ASC separator ',' ) as products
+
+        FROM Activities GROUP BY sell_date order by sell_date ASC;