diff --git a/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL b/LeetCode SQL 50 Solution/1484. Group Sold Products By The Date.SQL new file mode 100644 index 0000000..b89bee9 --- /dev/null +++ b/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; \ No newline at end of file