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leetcode-cn/originData/find-loyal-customers.json
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leetcode-cn/originData/find-loyal-customers.json
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{
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"data": {
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"question": {
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"questionId": "4025",
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"questionFrontendId": "3657",
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"categoryTitle": "Database",
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"boundTopicId": 3761718,
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"title": "Find Loyal Customers",
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"titleSlug": "find-loyal-customers",
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"content": "<p>Table: <code>customer_transactions</code></p>\n\n<pre>\n+------------------+---------+\n| Column Name | Type | \n+------------------+---------+\n| transaction_id | int |\n| customer_id | int |\n| transaction_date | date |\n| amount | decimal |\n| transaction_type | varchar |\n+------------------+---------+\ntransaction_id is the unique identifier for this table.\ntransaction_type can be either 'purchase' or 'refund'.\n</pre>\n\n<p>Write a solution to find <strong>loyal customers</strong>. A customer is considered <strong>loyal</strong> if they meet ALL the following criteria:</p>\n\n<ul>\n\t<li>Made <strong>at least</strong> <code><font face=\"monospace\">3</font></code> purchase transactions.</li>\n\t<li>Have been active for <strong>at least</strong> <code>30</code> days.</li>\n\t<li>Their <strong>refund rate</strong> is less than <code>20%</code> .</li>\n</ul>\n\n<p>Return <em>the result table ordered by</em> <code>customer_id</code> <em>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>customer_transactions table:</p>\n\n<pre class=\"example-io\">\n+----------------+-------------+------------------+--------+------------------+\n| transaction_id | customer_id | transaction_date | amount | transaction_type |\n+----------------+-------------+------------------+--------+------------------+\n| 1 | 101 | 2024-01-05 | 150.00 | purchase |\n| 2 | 101 | 2024-01-15 | 200.00 | purchase |\n| 3 | 101 | 2024-02-10 | 180.00 | purchase |\n| 4 | 101 | 2024-02-20 | 250.00 | purchase |\n| 5 | 102 | 2024-01-10 | 100.00 | purchase |\n| 6 | 102 | 2024-01-12 | 120.00 | purchase |\n| 7 | 102 | 2024-01-15 | 80.00 | refund |\n| 8 | 102 | 2024-01-18 | 90.00 | refund |\n| 9 | 102 | 2024-02-15 | 130.00 | purchase |\n| 10 | 103 | 2024-01-01 | 500.00 | purchase |\n| 11 | 103 | 2024-01-02 | 450.00 | purchase |\n| 12 | 103 | 2024-01-03 | 400.00 | purchase |\n| 13 | 104 | 2024-01-01 | 200.00 | purchase |\n| 14 | 104 | 2024-02-01 | 250.00 | purchase |\n| 15 | 104 | 2024-02-15 | 300.00 | purchase |\n| 16 | 104 | 2024-03-01 | 350.00 | purchase |\n| 17 | 104 | 2024-03-10 | 280.00 | purchase |\n| 18 | 104 | 2024-03-15 | 100.00 | refund |\n+----------------+-------------+------------------+--------+------------------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+-------------+\n| customer_id |\n+-------------+\n| 101 |\n| 104 |\n+-------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>Customer 101</strong>:\n\n\t<ul>\n\t\t<li>Purchase transactions: 4 (IDs: 1, 2, 3, 4) </li>\n\t\t<li>Refund transactions: 0</li>\n\t\t<li>Refund rate: 0/4 = 0% (less than 20%) </li>\n\t\t<li>Active period: Jan 5 to Feb 20 = 46 days (at least 30 days) </li>\n\t\t<li>Qualifies as loyal </li>\n\t</ul>\n\t</li>\n\t<li><strong>Customer 102</strong>:\n\t<ul>\n\t\t<li>Purchase transactions: 3 (IDs: 5, 6, 9) </li>\n\t\t<li>Refund transactions: 2 (IDs: 7, 8)</li>\n\t\t<li>Refund rate: 2/5 = 40% (exceeds 20%) </li>\n\t\t<li>Not loyal </li>\n\t</ul>\n\t</li>\n\t<li><strong>Customer 103</strong>:\n\t<ul>\n\t\t<li>Purchase transactions: 3 (IDs: 10, 11, 12) </li>\n\t\t<li>Refund transactions: 0</li>\n\t\t<li>Refund rate: 0/3 = 0% (less than 20%) </li>\n\t\t<li>Active period: Jan 1 to Jan 3 = 2 days (less than 30 days) </li>\n\t\t<li>Not loyal </li>\n\t</ul>\n\t</li>\n\t<li><strong>Customer 104</strong>:\n\t<ul>\n\t\t<li>Purchase transactions: 5 (IDs: 13, 14, 15, 16, 17) </li>\n\t\t<li>Refund transactions: 1 (ID: 18)</li>\n\t\t<li>Refund rate: 1/6 = 16.67% (less than 20%) </li>\n\t\t<li>Active period: Jan 1 to Mar 15 = 73 days (at least 30 days) </li>\n\t\t<li>Qualifies as loyal </li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>The result table is ordered by customer_id in ascending order.</p>\n</div>\n",
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"translatedTitle": "寻找忠实客户",
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"translatedContent": "<p>表：<code>customer_transactions</code></p>\n\n<pre>\n+------------------+---------+\n| Column Name | Type | \n+------------------+---------+\n| transaction_id | int |\n| customer_id | int |\n| transaction_date | date |\n| amount | decimal |\n| transaction_type | varchar |\n+------------------+---------+\ntransaction_id 是这张表的唯一主键。\ntransaction_type 可以是 “purchase” 或 “refund”。\n</pre>\n\n<p>编写一个解决方案来查找 <strong>忠实客户</strong>。如果满足下述所有条件，可以认为该客户是 <strong>忠实</strong> 客户：</p>\n\n<ul>\n\t<li>进行了 <strong>至少</strong> <code><font face=\"monospace\">3</font></code> 次购买交易。</li>\n\t<li>活跃了 <strong>至少</strong> <code>30</code> 天。</li>\n\t<li>他们的 <strong>退款率</strong> 少于 <code>20%</code>。</li>\n</ul>\n\n<p>返回结果表以 <code>customer_id</code> <strong>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>customer_transactions 表：</p>\n\n<pre class=\"example-io\">\n+----------------+-------------+------------------+--------+------------------+\n| transaction_id | customer_id | transaction_date | amount | transaction_type |\n+----------------+-------------+------------------+--------+------------------+\n| 1 | 101 | 2024-01-05 | 150.00 | purchase |\n| 2 | 101 | 2024-01-15 | 200.00 | purchase |\n| 3 | 101 | 2024-02-10 | 180.00 | purchase |\n| 4 | 101 | 2024-02-20 | 250.00 | purchase |\n| 5 | 102 | 2024-01-10 | 100.00 | purchase |\n| 6 | 102 | 2024-01-12 | 120.00 | purchase |\n| 7 | 102 | 2024-01-15 | 80.00 | refund |\n| 8 | 102 | 2024-01-18 | 90.00 | refund |\n| 9 | 102 | 2024-02-15 | 130.00 | purchase |\n| 10 | 103 | 2024-01-01 | 500.00 | purchase |\n| 11 | 103 | 2024-01-02 | 450.00 | purchase |\n| 12 | 103 | 2024-01-03 | 400.00 | purchase |\n| 13 | 104 | 2024-01-01 | 200.00 | purchase |\n| 14 | 104 | 2024-02-01 | 250.00 | purchase |\n| 15 | 104 | 2024-02-15 | 300.00 | purchase |\n| 16 | 104 | 2024-03-01 | 350.00 | purchase |\n| 17 | 104 | 2024-03-10 | 280.00 | purchase |\n| 18 | 104 | 2024-03-15 | 100.00 | refund |\n+----------------+-------------+------------------+--------+------------------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+-------------+\n| customer_id |\n+-------------+\n| 101 |\n| 104 |\n+-------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>客户 101</strong>:\n\n\t<ul>\n\t\t<li>购买交易：4 (IDs: 1, 2, 3, 4) </li>\n\t\t<li>退款交易：0</li>\n\t\t<li>退款率：0/4 = 0%（少于 20%）</li>\n\t\t<li>活跃时期：1 月 5 日到 2 月 20 日 = 46 天（至少 30 天）</li>\n\t\t<li>符合忠诚客户条件</li>\n\t</ul>\n\t</li>\n\t<li><strong>客户 102</strong>:\n\t<ul>\n\t\t<li>购买交易：3 (IDs: 5, 6, 9) </li>\n\t\t<li>退款交易：2 (IDs: 7, 8)</li>\n\t\t<li>退款率：2/5 = 40% (超过 20%) </li>\n\t\t<li>不符合忠诚客户条件</li>\n\t</ul>\n\t</li>\n\t<li><strong>客户 103</strong>:\n\t<ul>\n\t\t<li>购买交易：3 (IDs: 10, 11, 12) </li>\n\t\t<li>退款交易：0</li>\n\t\t<li>退款率：0/3 = 0%（少于 20%）</li>\n\t\t<li>活跃时期：1 月 1 日到 1 月 3 日 = 2 天（少于 30 天）</li>\n\t\t<li>不符合忠诚客户条件</li>\n\t</ul>\n\t</li>\n\t<li><strong>客户 104</strong>:\n\t<ul>\n\t\t<li>购买交易：5 (IDs: 13, 14, 15, 16, 17) </li>\n\t\t<li>退款交易：1 (ID: 18)</li>\n\t\t<li>退款率：1/6 = 16.67%（少于 20%）</li>\n\t\t<li>活跃时期：1 月 1 日到 3 月 15 日 = 73 天（至少 30 天）</li>\n\t\t<li>符合忠诚客户条件</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>结果表以 customer_id 升序排序。</p>\n</div>\n",
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"sampleTestCase": "{\"headers\":{\"customer_transactions\":[\"transaction_id\",\"customer_id\",\"transaction_date\",\"amount\",\"transaction_type\"]},\"rows\":{\"customer_transactions\":[[1,101,\"2024-01-05\",150.00,\"purchase\"],[2,101,\"2024-01-15\",200.00,\"purchase\"],[3,101,\"2024-02-10\",180.00,\"purchase\"],[4,101,\"2024-02-20\",250.00,\"purchase\"],[5,102,\"2024-01-10\",100.00,\"purchase\"],[6,102,\"2024-01-12\",120.00,\"purchase\"],[7,102,\"2024-01-15\",80.00,\"refund\"],[8,102,\"2024-01-18\",90.00,\"refund\"],[9,102,\"2024-02-15\",130.00,\"purchase\"],[10,103,\"2024-01-01\",500.00,\"purchase\"],[11,103,\"2024-01-02\",450.00,\"purchase\"],[12,103,\"2024-01-03\",400.00,\"purchase\"],[13,104,\"2024-01-01\",200.00,\"purchase\"],[14,104,\"2024-02-01\",250.00,\"purchase\"],[15,104,\"2024-02-15\",300.00,\"purchase\"],[16,104,\"2024-03-01\",350.00,\"purchase\"],[17,104,\"2024-03-10\",280.00,\"purchase\"],[18,104,\"2024-03-15\",100.00,\"refund\"]]}}",
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"CREATE TABLE if not exists customer_transactions (\n transaction_id INT,\n customer_id INT,\n transaction_date DATE,\n amount DECIMAL(10,2),\n transaction_type VARCHAR(20)\n)",
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"Truncate table customer_transactions",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('1', '101', '2024-01-05', '150.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('2', '101', '2024-01-15', '200.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('3', '101', '2024-02-10', '180.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('4', '101', '2024-02-20', '250.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('5', '102', '2024-01-10', '100.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('6', '102', '2024-01-12', '120.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('7', '102', '2024-01-15', '80.0', 'refund')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('8', '102', '2024-01-18', '90.0', 'refund')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('9', '102', '2024-02-15', '130.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('10', '103', '2024-01-01', '500.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('11', '103', '2024-01-02', '450.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('12', '103', '2024-01-03', '400.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('13', '104', '2024-01-01', '200.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('14', '104', '2024-02-01', '250.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('15', '104', '2024-02-15', '300.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('16', '104', '2024-03-01', '350.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('17', '104', '2024-03-10', '280.0', 'purchase')",
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"insert into customer_transactions (transaction_id, customer_id, transaction_date, amount, transaction_type) values ('18', '104', '2024-03-15', '100.0', 'refund')"
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"exampleTestcases": "{\"headers\":{\"customer_transactions\":[\"transaction_id\",\"customer_id\",\"transaction_date\",\"amount\",\"transaction_type\"]},\"rows\":{\"customer_transactions\":[[1,101,\"2024-01-05\",150.00,\"purchase\"],[2,101,\"2024-01-15\",200.00,\"purchase\"],[3,101,\"2024-02-10\",180.00,\"purchase\"],[4,101,\"2024-02-20\",250.00,\"purchase\"],[5,102,\"2024-01-10\",100.00,\"purchase\"],[6,102,\"2024-01-12\",120.00,\"purchase\"],[7,102,\"2024-01-15\",80.00,\"refund\"],[8,102,\"2024-01-18\",90.00,\"refund\"],[9,102,\"2024-02-15\",130.00,\"purchase\"],[10,103,\"2024-01-01\",500.00,\"purchase\"],[11,103,\"2024-01-02\",450.00,\"purchase\"],[12,103,\"2024-01-03\",400.00,\"purchase\"],[13,104,\"2024-01-01\",200.00,\"purchase\"],[14,104,\"2024-02-01\",250.00,\"purchase\"],[15,104,\"2024-02-15\",300.00,\"purchase\"],[16,104,\"2024-03-01\",350.00,\"purchase\"],[17,104,\"2024-03-10\",280.00,\"purchase\"],[18,104,\"2024-03-15\",100.00,\"refund\"]]}}",
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