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102 lines
22 KiB
JSON
102 lines
22 KiB
JSON
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"title": "Find Stores with Inventory Imbalance",
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"titleSlug": "find-stores-with-inventory-imbalance",
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"content": "<p>Table: <code>stores</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| store_id | int |\n| store_name | varchar |\n| location | varchar |\n+-------------+---------+\nstore_id is the unique identifier for this table.\nEach row contains information about a store and its location.\n</pre>\n\n<p>Table: <code>inventory</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| inventory_id| int |\n| store_id | int |\n| product_name| varchar |\n| quantity | int |\n| price | decimal |\n+-------------+---------+\ninventory_id is the unique identifier for this table.\nEach row represents the inventory of a specific product at a specific store.\n</pre>\n\n<p>Write a solution to find stores that have <strong>inventory imbalance</strong> - stores where the most expensive product has lower stock than the cheapest product.</p>\n\n<ul>\n\t<li>For each store, identify the <strong>most expensive product</strong> (highest price) and its quantity</li>\n\t<li>For each store, identify the <strong>cheapest product</strong> (lowest price) and its quantity</li>\n\t<li>A store has inventory imbalance if the most expensive product's quantity is <strong>less than</strong> the cheapest product's quantity</li>\n\t<li>Calculate the <strong>imbalance ratio</strong> as (cheapest_quantity / most_expensive_quantity)</li>\n\t<li><strong>Round</strong> the imbalance ratio to <strong>2</strong> decimal places</li>\n\t<li>Only include stores that have <strong>at least </strong><code>3</code><strong> different products</strong></li>\n</ul>\n\n<p>Return <em>the result table ordered by imbalance ratio in <strong>descending</strong> order, then by store name 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>stores table:</p>\n\n<pre class=\"example-io\">\n+----------+----------------+-------------+\n| store_id | store_name | location |\n+----------+----------------+-------------+\n| 1 | Downtown Tech | New York |\n| 2 | Suburb Mall | Chicago |\n| 3 | City Center | Los Angeles |\n| 4 | Corner Shop | Miami |\n| 5 | Plaza Store | Seattle |\n+----------+----------------+-------------+\n</pre>\n\n<p>inventory table:</p>\n\n<pre class=\"example-io\">\n+--------------+----------+--------------+----------+--------+\n| inventory_id | store_id | product_name | quantity | price |\n+--------------+----------+--------------+----------+--------+\n| 1 | 1 | Laptop | 5 | 999.99 |\n| 2 | 1 | Mouse | 50 | 19.99 |\n| 3 | 1 | Keyboard | 25 | 79.99 |\n| 4 | 1 | Monitor | 15 | 299.99 |\n| 5 | 2 | Phone | 3 | 699.99 |\n| 6 | 2 | Charger | 100 | 25.99 |\n| 7 | 2 | Case | 75 | 15.99 |\n| 8 | 2 | Headphones | 20 | 149.99 |\n| 9 | 3 | Tablet | 2 | 499.99 |\n| 10 | 3 | Stylus | 80 | 29.99 |\n| 11 | 3 | Cover | 60 | 39.99 |\n| 12 | 4 | Watch | 10 | 299.99 |\n| 13 | 4 | Band | 25 | 49.99 |\n| 14 | 5 | Camera | 8 | 599.99 |\n| 15 | 5 | Lens | 12 | 199.99 |\n+--------------+----------+--------------+----------+--------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+----------+----------------+-------------+------------------+--------------------+------------------+\n| store_id | store_name | location | most_exp_product | cheapest_product | imbalance_ratio |\n+----------+----------------+-------------+------------------+--------------------+------------------+\n| 3 | City Center | Los Angeles | Tablet | Stylus | 40.00 |\n| 1 | Downtown Tech | New York | Laptop | Mouse | 10.00 |\n| 2 | Suburb Mall | Chicago | Phone | Case | 25.00 |\n+----------+----------------+-------------+------------------+--------------------+------------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>Downtown Tech (store_id = 1):</strong>\n\n\t<ul>\n\t\t<li>Most expensive product: Laptop ($999.99) with quantity 5</li>\n\t\t<li>Cheapest product: Mouse ($19.99) with quantity 50</li>\n\t\t<li>Inventory imbalance: 5 < 50 (expensive product has lower stock)</li>\n\t\t<li>Imbalance ratio: 50 / 5 = 10.00</li>\n\t\t<li>Has 4 products (≥ 3), so qualifies</li>\n\t</ul>\n\t</li>\n\t<li><strong>Suburb Mall (store_id = 2):</strong>\n\t<ul>\n\t\t<li>Most expensive product: Phone ($699.99) with quantity 3</li>\n\t\t<li>Cheapest product: Case ($15.99) with quantity 75</li>\n\t\t<li>Inventory imbalance: 3 < 75 (expensive product has lower stock)</li>\n\t\t<li>Imbalance ratio: 75 / 3 = 25.00</li>\n\t\t<li>Has 4 products (≥ 3), so qualifies</li>\n\t</ul>\n\t</li>\n\t<li><strong>City Center (store_id = 3):</strong>\n\t<ul>\n\t\t<li>Most expensive product: Tablet ($499.99) with quantity 2</li>\n\t\t<li>Cheapest product: Stylus ($29.99) with quantity 80</li>\n\t\t<li>Inventory imbalance: 2 < 80 (expensive product has lower stock)</li>\n\t\t<li>Imbalance ratio: 80 / 2 = 40.00</li>\n\t\t<li>Has 3 products (≥ 3), so qualifies</li>\n\t</ul>\n\t</li>\n\t<li><strong>Stores not included:</strong>\n\t<ul>\n\t\t<li>Corner Shop (store_id = 4): Only has 2 products (Watch, Band) - doesn't meet minimum 3 products requirement</li>\n\t\t<li>Plaza Store (store_id = 5): Only has 2 products (Camera, Lens) - doesn't meet minimum 3 products requirement</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>The Results table is ordered by imbalance ratio in descending order, then by store name in ascending order</p>\n</div>\n",
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"translatedTitle": "查找库存不平衡的店铺",
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"translatedContent": "<p>表：<code>stores</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| store_id | int |\n| store_name | varchar |\n| location | varchar |\n+-------------+---------+\nstore_id 是这张表的唯一主键。\n每一行包含有关商店及其位置的信息。\n</pre>\n\n<p>表：<code>inventory</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| inventory_id| int |\n| store_id | int |\n| product_name| varchar |\n| quantity | int |\n| price | decimal |\n+-------------+---------+\ninventory_id 是这张表的唯一主键。\n每一行代表特定商店中某一特定产品的库存情况。\n</pre>\n\n<p>编写一个解决方案来查找库存不平衡的商店 - 即最贵商品的库存比最便宜商品少的商店。</p>\n\n<ul>\n\t<li>对于每个商店，识别 <strong>最贵的商品</strong>（最高价格）及其数量，如果有多个最贵的商品则选取数量最多的一个。</li>\n\t<li>对于每个商店，识别 <strong>最便宜的商品</strong>（最低价格）及其数量，如果有多个最便宜的物品则选取数量最多的一个。</li>\n\t<li>如果最贵商品的数量 <strong>少于</strong> 最便宜商品的数量，则商店存在库存不平衡。</li>\n\t<li>按（最便宜商品的数量/最贵商品的数量）计算 <strong>不平衡比</strong>。</li>\n\t<li>不平衡比 <strong>舍入到 2 位</strong> 小数</li>\n\t<li>结果只包含 <strong>至少有</strong><strong> </strong><code>3</code> <strong>个不同商品</strong> 的店铺</li>\n</ul>\n\n<p>返回结果表以不平衡比率降序排列，然后按商店名称升序排列。</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>stores 表：</p>\n\n<pre class=\"example-io\">\n+----------+----------------+-------------+\n| store_id | store_name | location |\n+----------+----------------+-------------+\n| 1 | Downtown Tech | New York |\n| 2 | Suburb Mall | Chicago |\n| 3 | City Center | Los Angeles |\n| 4 | Corner Shop | Miami |\n| 5 | Plaza Store | Seattle |\n+----------+----------------+-------------+\n</pre>\n\n<p>inventory 表：</p>\n\n<pre class=\"example-io\">\n+--------------+----------+--------------+----------+--------+\n| inventory_id | store_id | product_name | quantity | price |\n+--------------+----------+--------------+----------+--------+\n| 1 | 1 | Laptop | 5 | 999.99 |\n| 2 | 1 | Mouse | 50 | 19.99 |\n| 3 | 1 | Keyboard | 25 | 79.99 |\n| 4 | 1 | Monitor | 15 | 299.99 |\n| 5 | 2 | Phone | 3 | 699.99 |\n| 6 | 2 | Charger | 100 | 25.99 |\n| 7 | 2 | Case | 75 | 15.99 |\n| 8 | 2 | Headphones | 20 | 149.99 |\n| 9 | 3 | Tablet | 2 | 499.99 |\n| 10 | 3 | Stylus | 80 | 29.99 |\n| 11 | 3 | Cover | 60 | 39.99 |\n| 12 | 4 | Watch | 10 | 299.99 |\n| 13 | 4 | Band | 25 | 49.99 |\n| 14 | 5 | Camera | 8 | 599.99 |\n| 15 | 5 | Lens | 12 | 199.99 |\n+--------------+----------+--------------+----------+--------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+----------+----------------+-------------+------------------+--------------------+------------------+\n| store_id | store_name | location | most_exp_product | cheapest_product | imbalance_ratio |\n+----------+----------------+-------------+------------------+--------------------+------------------+\n| 3 | City Center | Los Angeles | Tablet | Stylus | 40.00 |\n| 1 | Downtown Tech | New York | Laptop | Mouse | 10.00 |\n| 2 | Suburb Mall | Chicago | Phone | Case | 25.00 |\n+----------+----------------+-------------+------------------+--------------------+------------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>Downtown Tech (store_id = 1)：</strong>\n\n\t<ul>\n\t\t<li>最贵的商品：笔记本（$999.99）数量为 5</li>\n\t\t<li>最便宜的商品：鼠标（$19.99）数量为 50</li>\n\t\t<li>库存不平衡：5 < 50（贵的商品的库存更少）</li>\n\t\t<li>不平衡比：50 / 5 = 10.00</li>\n\t\t<li>有 4 件商品（≥ 3），所以满足要求</li>\n\t</ul>\n\t</li>\n\t<li><strong>Suburb Mall (store_id = 2)：</strong>\n\t<ul>\n\t\t<li>最贵的商品：手机（$699.99）数量为 3</li>\n\t\t<li>最便宜的商品：保护壳（$15.99）数量为75</li>\n\t\t<li>库存不平衡：3 < 75（贵的商品的库存更少）</li>\n\t\t<li>不平衡比：75 / 3 = 25.00</li>\n\t\t<li>有 4 件商品（≥ 3），所以满足要求</li>\n\t</ul>\n\t</li>\n\t<li><strong>City Center (store_id = 3)：</strong>\n\t<ul>\n\t\t<li>最贵的商品：平板电脑（$499.99）数量为 2</li>\n\t\t<li>最便宜的商品：触控笔（$29.99）数量为 80</li>\n\t\t<li>不平衡比：2 < 80（贵的商品的库存更少）</li>\n\t\t<li>不平衡比：80 / 2 = 40.00</li>\n\t\t<li>有 3 件商品（≥ 3），所以满足要求</li>\n\t</ul>\n\t</li>\n\t<li><strong>未包含的商店：</strong>\n\t<ul>\n\t\t<li>Corner Shop（store_id = 4）：只有两件商品（手表，手环）- 不满足最少 3 件商品的要求</li>\n\t\t<li>Plaza Store（store_id = 5）：只有两件商品（相机，镜头）- 不满足最少 3 件商品的要求</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>结果表按不平衡比降序排序，然后以商店名升序排序。</p>\n</div>\n",
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"sampleTestCase": "{\"headers\":{\"stores\":[\"store_id\",\"store_name\",\"location\"],\"inventory\":[\"inventory_id\",\"store_id\",\"product_name\",\"quantity\",\"price\"]},\"rows\":{\"stores\":[[1,\"Downtown Tech\",\"New York\"],[2,\"Suburb Mall\",\"Chicago\"],[3,\"City Center\",\"Los Angeles\"],[4,\"Corner Shop\",\"Miami\"],[5,\"Plaza Store\",\"Seattle\"]],\"inventory\":[[1,1,\"Laptop\",5,999.99],[2,1,\"Mouse\",50,19.99],[3,1,\"Keyboard\",25,79.99],[4,1,\"Monitor\",15,299.99],[5,2,\"Phone\",3,699.99],[6,2,\"Charger\",100,25.99],[7,2,\"Case\",75,15.99],[8,2,\"Headphones\",20,149.99],[9,3,\"Tablet\",2,499.99],[10,3,\"Stylus\",80,29.99],[11,3,\"Cover\",60,39.99],[12,4,\"Watch\",10,299.99],[13,4,\"Band\",25,49.99],[14,5,\"Camera\",8,599.99],[15,5,\"Lens\",12,199.99]]}}",
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"CREATE TABLE if not exists stores (\n store_id INT,\n store_name VARCHAR(255),\n location VARCHAR(255)\n)",
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"CREATE TABLE if not exists inventory (\n inventory_id INT,\n store_id INT,\n product_name VARCHAR(255),\n quantity INT,\n price DECIMAL(10, 2)\n)",
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"Truncate table stores",
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"insert into stores (store_id, store_name, location) values ('1', 'Downtown Tech', 'New York')",
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"insert into stores (store_id, store_name, location) values ('2', 'Suburb Mall', 'Chicago')",
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"insert into stores (store_id, store_name, location) values ('3', 'City Center', 'Los Angeles')",
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"insert into stores (store_id, store_name, location) values ('4', 'Corner Shop', 'Miami')",
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"insert into stores (store_id, store_name, location) values ('5', 'Plaza Store', 'Seattle')",
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"Truncate table inventory",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('1', '1', 'Laptop', '5', '999.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('2', '1', 'Mouse', '50', '19.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('3', '1', 'Keyboard', '25', '79.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('4', '1', 'Monitor', '15', '299.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('5', '2', 'Phone', '3', '699.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('6', '2', 'Charger', '100', '25.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('7', '2', 'Case', '75', '15.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('8', '2', 'Headphones', '20', '149.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('9', '3', 'Tablet', '2', '499.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('10', '3', 'Stylus', '80', '29.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('11', '3', 'Cover', '60', '39.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('12', '4', 'Watch', '10', '299.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('13', '4', 'Band', '25', '49.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('14', '5', 'Camera', '8', '599.99')",
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"insert into inventory (inventory_id, store_id, product_name, quantity, price) values ('15', '5', 'Lens', '12', '199.99')"
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