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The sold products names for each date should be sorted lexicographically. Return the result table ordered by sell_date. Hint: You can use the following function to aggregate a character column: • GROUP_CONCAT(column) The results should be: Output: | sell date | num_sold I products | 2020-05-30 | 3 | 2020-06-01 | 2 | 2020-06-02 | 1 | Basketbal1, Headphone, T-shirt | | Bible, Pencil | 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 lexicographicall and separate them by a For 2020-06-02, the Sold item is (Mask), we just return it. comma.

The sold products names for each date should be sorted lexicographically. Return the result table ordered by sell_date. Hint: You can use the following function to aggregate a character column: • GROUP_CONCAT(column) The results should be: Output: | sell date | num_sold I products | 2020-05-30 | 3 | 2020-06-01 | 2 | 2020-06-02 | 1 | Basketbal1, Headphone, T-shirt | | Bible, Pencil | 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 lexicographicall and separate them by a For 2020-06-02, the Sold item is (Mask), we just return it. comma.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Show all the sql query codes and the output with it please

Write an SQL query 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. Hint: You can use the following function to aggregate a character column: GROUP_CONCAT(column) The results should be: Output: +--- I sell_date | num_sold | products +-- +- | 2020-05-30 | 3 | 2020-06-01 | 2 | 2020-06-02 | 1 | Basketball, Headphone, T-shirt | | Bible, Pencil | 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.
Transcribed Image Text:Write an SQL query 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. Hint: You can use the following function to aggregate a character column: GROUP_CONCAT(column) The results should be: Output: +--- I sell_date | num_sold | products +-- +- | 2020-05-30 | 3 | 2020-06-01 | 2 | 2020-06-02 | 1 | Basketball, Headphone, T-shirt | | Bible, Pencil | 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.
Create the following table in your database with the following schema: Table Activities: | Column Name | Type | sell_date I product | date | varchar | +-- ----+ There is no primary key 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. Add the following data to your tables: Input: Activities table: +- ----- | sell_date I 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 +--
Transcribed Image Text:Create the following table in your database with the following schema: Table Activities: | Column Name | Type | sell_date I product | date | varchar | +-- ----+ There is no primary key 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. Add the following data to your tables: Input: Activities table: +- ----- | sell_date I 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 +--
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