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116 lines
21 KiB
JSON
116 lines
21 KiB
JSON
{
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"question": {
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"questionId": "3891",
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"questionFrontendId": "3554",
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"categoryTitle": "Database",
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"boundTopicId": 3680766,
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"title": "Find Category Recommendation Pairs",
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"titleSlug": "find-category-recommendation-pairs",
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"content": "<p>Table: <code>ProductPurchases</code></p>\n\n<pre>\n+-------------+------+\n| Column Name | Type | \n+-------------+------+\n| user_id | int |\n| product_id | int |\n| quantity | int |\n+-------------+------+\n(user_id, product_id) is the unique identifier for this table. \nEach row represents a purchase of a product by a user in a specific quantity.\n</pre>\n\n<p>Table: <code>ProductInfo</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type | \n+-------------+---------+\n| product_id | int |\n| category | varchar |\n| price | decimal |\n+-------------+---------+\nproduct_id is the unique identifier for this table.\nEach row assigns a category and price to a product.\n</pre>\n\n<p>Amazon wants to understand shopping patterns across product categories. Write a solution to:</p>\n\n<ol>\n\t<li>Find all <strong>category pairs</strong> (where <code>category1</code> < <code>category2</code>)</li>\n\t<li>For <strong>each category pair</strong>, determine the number of <strong>unique</strong> <strong>customers</strong> who purchased products from <strong>both</strong> categories</li>\n</ol>\n\n<p>A category pair is considered <strong>reportable</strong> if at least <code>3</code> different customers have purchased products from both categories.</p>\n\n<p>Return <em>the result table of reportable category pairs ordered by <strong>customer_count</strong> in <strong>descending</strong> order, and in case of a tie, by <strong>category1</strong> in <strong>ascending</strong> order lexicographically, and then by <strong>category2</strong> in <strong>ascending</strong> order.</em></p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong></p>\n\n<p>ProductPurchases table:</p>\n\n<pre class=\"example-io\">\n+---------+------------+----------+\n| user_id | product_id | quantity |\n+---------+------------+----------+\n| 1 | 101 | 2 |\n| 1 | 102 | 1 |\n| 1 | 201 | 3 |\n| 1 | 301 | 1 |\n| 2 | 101 | 1 |\n| 2 | 102 | 2 |\n| 2 | 103 | 1 |\n| 2 | 201 | 5 |\n| 3 | 101 | 2 |\n| 3 | 103 | 1 |\n| 3 | 301 | 4 |\n| 3 | 401 | 2 |\n| 4 | 101 | 1 |\n| 4 | 201 | 3 |\n| 4 | 301 | 1 |\n| 4 | 401 | 2 |\n| 5 | 102 | 2 |\n| 5 | 103 | 1 |\n| 5 | 201 | 2 |\n| 5 | 202 | 3 |\n+---------+------------+----------+\n</pre>\n\n<p>ProductInfo table:</p>\n\n<pre class=\"example-io\">\n+------------+-------------+-------+\n| product_id | category | price |\n+------------+-------------+-------+\n| 101 | Electronics | 100 |\n| 102 | Books | 20 |\n| 103 | Books | 35 |\n| 201 | Clothing | 45 |\n| 202 | Clothing | 60 |\n| 301 | Sports | 75 |\n| 401 | Kitchen | 50 |\n+------------+-------------+-------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+-------------+-------------+----------------+\n| category1 | category2 | customer_count |\n+-------------+-------------+----------------+\n| Books | Clothing | 3 |\n| Books | Electronics | 3 |\n| Clothing | Electronics | 3 |\n| Electronics | Sports | 3 |\n+-------------+-------------+----------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>Books-Clothing</strong>:\n\n\t<ul>\n\t\t<li>User 1 purchased products from Books (102) and Clothing (201)</li>\n\t\t<li>User 2 purchased products from Books (102, 103) and Clothing (201)</li>\n\t\t<li>User 5 purchased products from Books (102, 103) and Clothing (201, 202)</li>\n\t\t<li>Total: 3 customers purchased from both categories</li>\n\t</ul>\n\t</li>\n\t<li><strong>Books-Electronics</strong>:\n\t<ul>\n\t\t<li>User 1 purchased products from Books (102) and Electronics (101)</li>\n\t\t<li>User 2 purchased products from Books (102, 103) and Electronics (101)</li>\n\t\t<li>User 3 purchased products from Books (103) and Electronics (101)</li>\n\t\t<li>Total: 3 customers purchased from both categories</li>\n\t</ul>\n\t</li>\n\t<li><strong>Clothing-Electronics</strong>:\n\t<ul>\n\t\t<li>User 1 purchased products from Clothing (201) and Electronics (101)</li>\n\t\t<li>User 2 purchased products from Clothing (201) and Electronics (101)</li>\n\t\t<li>User 4 purchased products from Clothing (201) and Electronics (101)</li>\n\t\t<li>Total: 3 customers purchased from both categories</li>\n\t</ul>\n\t</li>\n\t<li><strong>Electronics-Sports</strong>:\n\t<ul>\n\t\t<li>User 1 purchased products from Electronics (101) and Sports (301)</li>\n\t\t<li>User 3 purchased products from Electronics (101) and Sports (301)</li>\n\t\t<li>User 4 purchased products from Electronics (101) and Sports (301)</li>\n\t\t<li>Total: 3 customers purchased from both categories</li>\n\t</ul>\n\t</li>\n\t<li>Other category pairs like Clothing-Sports (only 2 customers: Users 1 and 4) and Books-Kitchen (only 1 customer: User 3) have fewer than 3 shared customers and are not included in the result.</li>\n</ul>\n\n<p>The result is ordered by customer_count in descending order. Since all pairs have the same customer_count of 3, they are ordered by category1 (then category2) in ascending order.</p>\n</div>\n",
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"translatedTitle": "查找类别推荐对",
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"translatedContent": "<p>表：<code>ProductPurchases</code></p>\n\n<pre>\n+-------------+------+\n| Column Name | Type | \n+-------------+------+\n| user_id | int |\n| product_id | int |\n| quantity | int |\n+-------------+------+\n(user_id, product_id) 是这张表的唯一主键。\n每一行代表用户以特定数量购买的一种产品。\n</pre>\n\n<p>表：<code>ProductInfo</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type | \n+-------------+---------+\n| product_id | int |\n| category | varchar |\n| price | decimal |\n+-------------+---------+\nproduct_id 是这张表的唯一主键。\n每一行表示一件商品的类别和价格。\n</pre>\n\n<p>亚马逊想要了解不同产品类别的购物模式。编写一个解决方案：</p>\n\n<ol>\n\t<li>查找所有 <strong>类别对</strong>（其中 <code>category1</code> < <code>category2</code>）</li>\n\t<li>对于 <strong>每个类别对</strong>，确定 <strong>同时</strong> 购买了两类别产品的 <strong>不同用户</strong> 数量</li>\n</ol>\n\n<p>如果至少有 <code>3</code> 个不同的客户购买了两个类别的产品，则类别对被视为 <strong>可报告的</strong>。</p>\n\n<p>返回可报告类别对的结果表以<em> </em><strong>customer_count</strong><em> </em><strong>降序</strong><em> </em>排序，并且为了防止排序持平，以<em> </em><strong>category1 </strong>字典序<strong> 升序</strong> 排序，然后以 <strong>category2 升序</strong> 排序。</p>\n\n<p>结果格式如下所示。</p>\n\n<p> </p>\n\n<p><strong class=\"example\">示例：</strong></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong></p>\n\n<p>ProductPurchases 表：</p>\n\n<pre class=\"example-io\">\n+---------+------------+----------+\n| user_id | product_id | quantity |\n+---------+------------+----------+\n| 1 | 101 | 2 |\n| 1 | 102 | 1 |\n| 1 | 201 | 3 |\n| 1 | 301 | 1 |\n| 2 | 101 | 1 |\n| 2 | 102 | 2 |\n| 2 | 103 | 1 |\n| 2 | 201 | 5 |\n| 3 | 101 | 2 |\n| 3 | 103 | 1 |\n| 3 | 301 | 4 |\n| 3 | 401 | 2 |\n| 4 | 101 | 1 |\n| 4 | 201 | 3 |\n| 4 | 301 | 1 |\n| 4 | 401 | 2 |\n| 5 | 102 | 2 |\n| 5 | 103 | 1 |\n| 5 | 201 | 2 |\n| 5 | 202 | 3 |\n+---------+------------+----------+\n</pre>\n\n<p>ProductInfo 表：</p>\n\n<pre class=\"example-io\">\n+------------+-------------+-------+\n| product_id | category | price |\n+------------+-------------+-------+\n| 101 | Electronics | 100 |\n| 102 | Books | 20 |\n| 103 | Books | 35 |\n| 201 | Clothing | 45 |\n| 202 | Clothing | 60 |\n| 301 | Sports | 75 |\n| 401 | Kitchen | 50 |\n+------------+-------------+-------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+-------------+-------------+----------------+\n| category1 | category2 | customer_count |\n+-------------+-------------+----------------+\n| Books | Clothing | 3 |\n| Books | Electronics | 3 |\n| Clothing | Electronics | 3 |\n| Electronics | Sports | 3 |\n+-------------+-------------+----------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>Books-Clothing</strong>:\n\n\t<ul>\n\t\t<li>用户 1 购买来自 Books (102) 和 Clothing (201) 的商品</li>\n\t\t<li>用户 2 购买来自 Books (102, 103) 和 Clothing (201) 的商品</li>\n\t\t<li>用户 5 购买来自 Books (102, 103) 和 Clothing (201, 202) 的商品</li>\n\t\t<li>共计：3 个用户购买同一类别的商品</li>\n\t</ul>\n\t</li>\n\t<li><strong>Books-Electronics</strong>:\n\t<ul>\n\t\t<li>用户 1 购买来自 Books (102) 和 Electronics (101) 的商品</li>\n\t\t<li>用户 2 购买来自 Books (102, 103) 和 Electronics (101) 的商品</li>\n\t\t<li>用户 3 购买来自 Books (103) 和 Electronics (101) 的商品</li>\n\t\t<li>共计：3 个消费者购买同一类别的商品</li>\n\t</ul>\n\t</li>\n\t<li><strong>Clothing-Electronics</strong>:\n\t<ul>\n\t\t<li>用户 1 购买来自 Clothing (201) 和 Electronics (101) 的商品</li>\n\t\t<li>用户 2 购买来自 Clothing (201) 和 Electronics (101) 的商品</li>\n\t\t<li>用户 4 购买来自 Clothing (201) 和 Electronics (101) 的商品</li>\n\t\t<li>共计：3 个消费者购买同一类别的商品</li>\n\t</ul>\n\t</li>\n\t<li><strong>Electronics-Sports</strong>:\n\t<ul>\n\t\t<li>用户 1 购买来自 Electronics (101) 和 Sports (301) 的商品</li>\n\t\t<li>用户 3 购买来自 Electronics (101) 和 Sports (301) 的商品</li>\n\t\t<li>用户 4 购买来自 Electronics (101) 和 Sports (301) 的商品</li>\n\t\t<li>共计：3 个消费者购买同一类别的商品</li>\n\t</ul>\n\t</li>\n\t<li>其它类别对比如 Clothing-Sports（只有 2 个消费者：用户 1 和 4）和 Books-Kitchen（只有 1 个消费者：用户 3）共同的消费者少于 3 个，因此不包含在结果内。</li>\n</ul>\n\n<p>结果按 customer_count 降序排列。由于所有对都有相同的客户数量 3，它们按 category1（然后是 category2）升序排列。</p>\n</div>\n",
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"sampleTestCase": "{\"headers\":{\"ProductPurchases\":[\"user_id\",\"product_id\",\"quantity\"],\"ProductInfo\":[\"product_id\",\"category\",\"price\"]},\"rows\":{\"ProductPurchases\":[[1,101,2],[1,102,1],[1,201,3],[1,301,1],[2,101,1],[2,102,2],[2,103,1],[2,201,5],[3,101,2],[3,103,1],[3,301,4],[3,401,2],[4,101,1],[4,201,3],[4,301,1],[4,401,2],[5,102,2],[5,103,1],[5,201,2],[5,202,3]],\"ProductInfo\":[[101,\"Electronics\",100],[102,\"Books\",20],[103,\"Books\",35],[201,\"Clothing\",45],[202,\"Clothing\",60],[301,\"Sports\",75],[401,\"Kitchen\",50]]}}",
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"CREATE TABLE if not exists ProductPurchases (\n user_id INT,\n product_id INT,\n quantity INT\n)",
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"CREATE TABLE if not exists ProductInfo (\n product_id INT,\n category VARCHAR(100),\n price DECIMAL(10, 2)\n)",
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"Truncate table ProductPurchases",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('1', '101', '2')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('1', '102', '1')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('1', '201', '3')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('1', '301', '1')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('2', '101', '1')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('2', '102', '2')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('2', '103', '1')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('2', '201', '5')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('3', '101', '2')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('3', '103', '1')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('3', '301', '4')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('3', '401', '2')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('4', '101', '1')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('4', '201', '3')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('4', '301', '1')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('4', '401', '2')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('5', '102', '2')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('5', '103', '1')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('5', '201', '2')",
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"insert into ProductPurchases (user_id, product_id, quantity) values ('5', '202', '3')",
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"Truncate table ProductInfo",
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"insert into ProductInfo (product_id, category, price) values ('101', 'Electronics', '100')",
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"insert into ProductInfo (product_id, category, price) values ('102', 'Books', '20')",
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"insert into ProductInfo (product_id, category, price) values ('103', 'Books', '35')",
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"insert into ProductInfo (product_id, category, price) values ('201', 'Clothing', '45')",
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"insert into ProductInfo (product_id, category, price) values ('202', 'Clothing', '60')",
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"insert into ProductInfo (product_id, category, price) values ('301', 'Sports', '75')",
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"insert into ProductInfo (product_id, category, price) values ('401', 'Kitchen', '50')"
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