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105 lines
15 KiB
JSON
105 lines
15 KiB
JSON
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"questionId": "1268",
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"questionFrontendId": "1158",
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"categoryTitle": "Database",
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"boundTopicId": 33164,
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"title": "Market Analysis I",
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"titleSlug": "market-analysis-i",
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"content": "<p>Table: <code>Users</code></p>\n\n<pre>\n+----------------+---------+\n| Column Name | Type |\n+----------------+---------+\n| user_id | int |\n| join_date | date |\n| favorite_brand | varchar |\n+----------------+---------+\nuser_id is the primary key (column with unique values) of this table.\nThis table has the info of the users of an online shopping website where users can sell and buy items.\n</pre>\n\n<p> </p>\n\n<p>Table: <code>Orders</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| order_id | int |\n| order_date | date |\n| item_id | int |\n| buyer_id | int |\n| seller_id | int |\n+---------------+---------+\norder_id is the primary key (column with unique values) of this table.\nitem_id is a foreign key (reference column) to the Items table.\nbuyer_id and seller_id are foreign keys to the Users table.\n</pre>\n\n<p> </p>\n\n<p>Table: <code>Items</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| item_id | int |\n| item_brand | varchar |\n+---------------+---------+\nitem_id is the primary key (column with unique values) of this table.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to find for each user, the join date and the number of orders they made as a buyer in <code>2019</code>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nUsers table:\n+---------+------------+----------------+\n| user_id | join_date | favorite_brand |\n+---------+------------+----------------+\n| 1 | 2018-01-01 | Lenovo |\n| 2 | 2018-02-09 | Samsung |\n| 3 | 2018-01-19 | LG |\n| 4 | 2018-05-21 | HP |\n+---------+------------+----------------+\nOrders table:\n+----------+------------+---------+----------+-----------+\n| order_id | order_date | item_id | buyer_id | seller_id |\n+----------+------------+---------+----------+-----------+\n| 1 | 2019-08-01 | 4 | 1 | 2 |\n| 2 | 2018-08-02 | 2 | 1 | 3 |\n| 3 | 2019-08-03 | 3 | 2 | 3 |\n| 4 | 2018-08-04 | 1 | 4 | 2 |\n| 5 | 2018-08-04 | 1 | 3 | 4 |\n| 6 | 2019-08-05 | 2 | 2 | 4 |\n+----------+------------+---------+----------+-----------+\nItems table:\n+---------+------------+\n| item_id | item_brand |\n+---------+------------+\n| 1 | Samsung |\n| 2 | Lenovo |\n| 3 | LG |\n| 4 | HP |\n+---------+------------+\n<strong>Output:</strong> \n+-----------+------------+----------------+\n| buyer_id | join_date | orders_in_2019 |\n+-----------+------------+----------------+\n| 1 | 2018-01-01 | 1 |\n| 2 | 2018-02-09 | 2 |\n| 3 | 2018-01-19 | 0 |\n| 4 | 2018-05-21 | 0 |\n+-----------+------------+----------------+\n</pre>\n",
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"translatedTitle": "市场分析 I",
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"translatedContent": "<p>表： <code>Users</code></p>\n\n<pre>\n+----------------+---------+\n| Column Name | Type |\n+----------------+---------+\n| user_id | int |\n| join_date | date |\n| favorite_brand | varchar |\n+----------------+---------+\nuser_id 是此表主键（具有唯一值的列）。\n表中描述了购物网站的用户信息，用户可以在此网站上进行商品买卖。\n</pre>\n\n<p> </p>\n\n<p>表： <code>Orders</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| order_id | int |\n| order_date | date |\n| item_id | int |\n| buyer_id | int |\n| seller_id | int |\n+---------------+---------+\norder_id 是此表主键（具有唯一值的列）。\nitem_id 是 Items 表的外键（reference 列）。\n（buyer_id，seller_id）是 User 表的外键。\n</pre>\n\n<p> </p>\n\n<p>表：<code>Items</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| item_id | int |\n| item_brand | varchar |\n+---------------+---------+\nitem_id 是此表的主键（具有唯一值的列）。\n</pre>\n\n<p> </p>\n\n<p>编写解决方案找出每个用户的注册日期和在 <strong><code>2019</code> </strong>年作为买家的订单总数。</p>\n\n<p>以 <strong>任意顺序</strong> 返回结果表。</p>\n\n<p>查询结果格式如下。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<strong>输入：</strong>\nUsers 表:\n+---------+------------+----------------+\n| user_id | join_date | favorite_brand |\n+---------+------------+----------------+\n| 1 | 2018-01-01 | Lenovo |\n| 2 | 2018-02-09 | Samsung |\n| 3 | 2018-01-19 | LG |\n| 4 | 2018-05-21 | HP |\n+---------+------------+----------------+\nOrders 表:\n+----------+------------+---------+----------+-----------+\n| order_id | order_date | item_id | buyer_id | seller_id |\n+----------+------------+---------+----------+-----------+\n| 1 | 2019-08-01 | 4 | 1 | 2 |\n| 2 | 2018-08-02 | 2 | 1 | 3 |\n| 3 | 2019-08-03 | 3 | 2 | 3 |\n| 4 | 2018-08-04 | 1 | 4 | 2 |\n| 5 | 2018-08-04 | 1 | 3 | 4 |\n| 6 | 2019-08-05 | 2 | 2 | 4 |\n+----------+------------+---------+----------+-----------+\nItems 表:\n+---------+------------+\n| item_id | item_brand |\n+---------+------------+\n| 1 | Samsung |\n| 2 | Lenovo |\n| 3 | LG |\n| 4 | HP |\n+---------+------------+\n<strong>输出：</strong>\n+-----------+------------+----------------+\n| buyer_id | join_date | orders_in_2019 |\n+-----------+------------+----------------+\n| 1 | 2018-01-01 | 1 |\n| 2 | 2018-02-09 | 2 |\n| 3 | 2018-01-19 | 0 |\n| 4 | 2018-05-21 | 0 |\n+-----------+------------+----------------+</pre>\n",
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"sampleTestCase": "{\"headers\":{\"Users\":[\"user_id\",\"join_date\",\"favorite_brand\"],\"Orders\":[\"order_id\",\"order_date\",\"item_id\",\"buyer_id\",\"seller_id\"],\"Items\":[\"item_id\",\"item_brand\"]},\"rows\":{\"Users\":[[1,\"2018-01-01\",\"Lenovo\"],[2,\"2018-02-09\",\"Samsung\"],[3,\"2018-01-19\",\"LG\"],[4,\"2018-05-21\",\"HP\"]],\"Orders\":[[1,\"2019-08-01\",4,1,2],[2,\"2018-08-02\",2,1,3],[3,\"2019-08-03\",3,2,3],[4,\"2018-08-04\",1,4,2],[5,\"2018-08-04\",1,3,4],[6,\"2019-08-05\",2,2,4]],\"Items\":[[1,\"Samsung\"],[2,\"Lenovo\"],[3,\"LG\"],[4,\"HP\"]]}}",
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"Create table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))",
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"Create table If Not Exists Items (item_id int, item_brand varchar(10))",
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"Truncate table Users",
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"insert into Users (user_id, join_date, favorite_brand) values ('1', '2018-01-01', 'Lenovo')",
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"insert into Users (user_id, join_date, favorite_brand) values ('2', '2018-02-09', 'Samsung')",
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"insert into Users (user_id, join_date, favorite_brand) values ('3', '2018-01-19', 'LG')",
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"insert into Users (user_id, join_date, favorite_brand) values ('4', '2018-05-21', 'HP')",
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"Truncate table Orders",
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"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('1', '2019-08-01', '4', '1', '2')",
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"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('2', '2018-08-02', '2', '1', '3')",
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"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('3', '2019-08-03', '3', '2', '3')",
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"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('4', '2018-08-04', '1', '4', '2')",
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"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('5', '2018-08-04', '1', '3', '4')",
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"insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('6', '2019-08-05', '2', '2', '4')",
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"Truncate table Items",
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"insert into Items (item_id, item_brand) values ('1', 'Samsung')",
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"insert into Items (item_id, item_brand) values ('2', 'Lenovo')",
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"insert into Items (item_id, item_brand) values ('3', 'LG')",
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"insert into Items (item_id, item_brand) values ('4', 'HP')"
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