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93 lines
13 KiB
JSON
93 lines
13 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 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 of this table.\nitem_id is a foreign key 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 of this table.\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query 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 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> \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>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+----------------+---------+\n此表主键是 user_id。\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>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+---------------+---------+\n此表主键是 order_id。\n外键是 item_id 和（buyer_id，seller_id）。\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+---------------+---------+\n此表主键是 item_id。\n</pre>\n\n<p> </p>\n\n<p>请写出一条SQL语句以查询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 Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)",
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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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