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82 lines
8.6 KiB
JSON
82 lines
8.6 KiB
JSON
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"questionId": "1625",
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"questionFrontendId": "1484",
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"categoryTitle": "Database",
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"boundTopicId": 293060,
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"title": "Group Sold Products By The Date",
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"titleSlug": "group-sold-products-by-the-date",
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"content": "<p>Table <code>Activities</code>:</p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| sell_date | date |\n| product | varchar |\n+-------------+---------+\nThere is no primary key for this table, it may contain duplicates.\nEach row of this table contains the product name and the date it was sold in a market.\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query to find for each date the number of different products sold and their names.</p>\n\n<p>The sold products names for each date should be sorted lexicographically.</p>\n\n<p>Return the result table ordered by <code>sell_date</code>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nActivities table:\n+------------+------------+\n| sell_date | product |\n+------------+------------+\n| 2020-05-30 | Headphone |\n| 2020-06-01 | Pencil |\n| 2020-06-02 | Mask |\n| 2020-05-30 | Basketball |\n| 2020-06-01 | Bible |\n| 2020-06-02 | Mask |\n| 2020-05-30 | T-Shirt |\n+------------+------------+\n<strong>Output:</strong> \n+------------+----------+------------------------------+\n| sell_date | num_sold | products |\n+------------+----------+------------------------------+\n| 2020-05-30 | 3 | Basketball,Headphone,T-shirt |\n| 2020-06-01 | 2 | Bible,Pencil |\n| 2020-06-02 | 1 | Mask |\n+------------+----------+------------------------------+\n<strong>Explanation:</strong> \nFor 2020-05-30, Sold items were (Headphone, Basketball, T-shirt), we sort them lexicographically and separate them by a comma.\nFor 2020-06-01, Sold items were (Pencil, Bible), we sort them lexicographically and separate them by a comma.\nFor 2020-06-02, the Sold item is (Mask), we just return it.\n</pre>\n",
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"translatedTitle": "按日期分组销售产品",
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"translatedContent": "<p>表 <code>Activities</code>：</p>\n\n<pre>\n+-------------+---------+\n| 列名 | 类型 |\n+-------------+---------+\n| sell_date | date |\n| product | varchar |\n+-------------+---------+\n此表没有主键，它可能包含重复项。\n此表的每一行都包含产品名称和在市场上销售的日期。\n</pre>\n\n<p> </p>\n\n<p>编写一个 SQL 查询来查找每个日期、销售的不同产品的数量及其名称。<br />\n每个日期的销售产品名称应按词典序排列。<br />\n返回按 <code>sell_date</code> 排序的结果表。<br />\n查询结果格式如下例所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<code><strong>输入：</strong>\nActivities</code> 表：\n+------------+-------------+\n| sell_date | product |\n+------------+-------------+\n| 2020-05-30 | Headphone |\n| 2020-06-01 | Pencil |\n| 2020-06-02 | Mask |\n| 2020-05-30 | Basketball |\n| 2020-06-01 | Bible |\n| 2020-06-02 | Mask |\n| 2020-05-30 | T-Shirt |\n+------------+-------------+\n<strong>输出：</strong>\n+------------+----------+------------------------------+\n| sell_date | num_sold | products |\n+------------+----------+------------------------------+\n| 2020-05-30 | 3 | Basketball,Headphone,T-shirt |\n| 2020-06-01 | 2 | Bible,Pencil |\n| 2020-06-02 | 1 | Mask |\n+------------+----------+------------------------------+\n<strong>解释：</strong>\n对于2020-05-30，出售的物品是 (Headphone, Basketball, T-shirt)，按词典序排列，并用逗号 ',' 分隔。\n对于2020-06-01，出售的物品是 (Pencil, Bible)，按词典序排列，并用逗号分隔。\n对于2020-06-02，出售的物品是 (Mask)，只需返回该物品名。</pre>\n",
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"sampleTestCase": "{\"headers\":{\"Activities\":[\"sell_date\",\"product\"]},\"rows\":{\"Activities\":[[\"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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"Create table If Not Exists Activities (sell_date date, product varchar(20))",
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"Truncate table Activities",
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"insert into Activities (sell_date, product) values ('2020-05-30', 'Headphone')",
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"insert into Activities (sell_date, product) values ('2020-06-01', 'Pencil')",
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"insert into Activities (sell_date, product) values ('2020-06-02', 'Mask')",
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"insert into Activities (sell_date, product) values ('2020-05-30', 'Basketball')",
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"insert into Activities (sell_date, product) values ('2020-06-01', 'Bible')",
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"insert into Activities (sell_date, product) values ('2020-06-02', 'Mask')",
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"insert into Activities (sell_date, product) values ('2020-05-30', 'T-Shirt')"
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"exampleTestcases": "{\"headers\":{\"Activities\":[\"sell_date\",\"product\"]},\"rows\":{\"Activities\":[[\"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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