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106 lines
20 KiB
JSON
106 lines
20 KiB
JSON
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"title": "Find Drivers with Improved Fuel Efficiency",
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"titleSlug": "find-drivers-with-improved-fuel-efficiency",
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"content": "<p>Table: <code>drivers</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| driver_id | int |\n| driver_name | varchar |\n+-------------+---------+\ndriver_id is the unique identifier for this table.\nEach row contains information about a driver.\n</pre>\n\n<p>Table: <code>trips</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| trip_id | int |\n| driver_id | int |\n| trip_date | date |\n| distance_km | decimal |\n| fuel_consumed | decimal |\n+---------------+---------+\ntrip_id is the unique identifier for this table.\nEach row represents a trip made by a driver, including the distance traveled and fuel consumed for that trip.\n</pre>\n\n<p>Write a solution to find drivers whose <strong>fuel efficiency has improved</strong> by <strong>comparing</strong> their average fuel efficiency in the<strong> first half</strong> of the year with the <strong>second half</strong> of the year.</p>\n\n<ul>\n\t<li>Calculate <strong>fuel efficiency</strong> as <code>distance_km / fuel_consumed</code> for <strong>each</strong> trip</li>\n\t<li><strong>First half</strong>: January to June, <strong>Second half</strong>: July to December</li>\n\t<li>Only include drivers who have trips in <strong>both halves</strong> of the year</li>\n\t<li>Calculate the <strong>efficiency improvement</strong> as (<code>second_half_avg - first_half_avg</code>)</li>\n\t<li><strong>Round </strong>all<strong> </strong>results<strong> </strong>to<strong> <code>2</code> </strong>decimal<strong> </strong>places</li>\n</ul>\n\n<p>Return <em>the result table ordered by efficiency improvement in <strong>descending</strong> order, then by driver 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>drivers table:</p>\n\n<pre class=\"example-io\">\n+-----------+---------------+\n| driver_id | driver_name |\n+-----------+---------------+\n| 1 | Alice Johnson |\n| 2 | Bob Smith |\n| 3 | Carol Davis |\n| 4 | David Wilson |\n| 5 | Emma Brown |\n+-----------+---------------+\n</pre>\n\n<p>trips table:</p>\n\n<pre class=\"example-io\">\n+---------+-----------+------------+-------------+---------------+\n| trip_id | driver_id | trip_date | distance_km | fuel_consumed |\n+---------+-----------+------------+-------------+---------------+\n| 1 | 1 | 2023-02-15 | 120.5 | 10.2 |\n| 2 | 1 | 2023-03-20 | 200.0 | 16.5 |\n| 3 | 1 | 2023-08-10 | 150.0 | 11.0 |\n| 4 | 1 | 2023-09-25 | 180.0 | 12.5 |\n| 5 | 2 | 2023-01-10 | 100.0 | 9.0 |\n| 6 | 2 | 2023-04-15 | 250.0 | 22.0 |\n| 7 | 2 | 2023-10-05 | 200.0 | 15.0 |\n| 8 | 3 | 2023-03-12 | 80.0 | 8.5 |\n| 9 | 3 | 2023-05-18 | 90.0 | 9.2 |\n| 10 | 4 | 2023-07-22 | 160.0 | 12.8 |\n| 11 | 4 | 2023-11-30 | 140.0 | 11.0 |\n| 12 | 5 | 2023-02-28 | 110.0 | 11.5 |\n+---------+-----------+------------+-------------+---------------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+-----------+---------------+------------------+-------------------+------------------------+\n| driver_id | driver_name | first_half_avg | second_half_avg | efficiency_improvement |\n+-----------+---------------+------------------+-------------------+------------------------+\n| 2 | Bob Smith | 11.24 | 13.33 | 2.10 |\n| 1 | Alice Johnson | 11.97 | 14.02 | 2.05 |\n+-----------+---------------+------------------+-------------------+------------------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>Alice Johnson (driver_id = 1):</strong>\n\n\t<ul>\n\t\t<li>First half trips (Jan-Jun): Feb 15 (120.5/10.2 = 11.81), Mar 20 (200.0/16.5 = 12.12)</li>\n\t\t<li>First half average efficiency: (11.81 + 12.12) / 2 = 11.97</li>\n\t\t<li>Second half trips (Jul-Dec): Aug 10 (150.0/11.0 = 13.64), Sep 25 (180.0/12.5 = 14.40)</li>\n\t\t<li>Second half average efficiency: (13.64 + 14.40) / 2 = 14.02</li>\n\t\t<li>Efficiency improvement: 14.02 - 11.97 = 2.05</li>\n\t</ul>\n\t</li>\n\t<li><strong>Bob Smith (driver_id = 2):</strong>\n\t<ul>\n\t\t<li>First half trips: Jan 10 (100.0/9.0 = 11.11), Apr 15 (250.0/22.0 = 11.36)</li>\n\t\t<li>First half average efficiency: (11.11 + 11.36) / 2 = 11.24</li>\n\t\t<li>Second half trips: Oct 5 (200.0/15.0 = 13.33)</li>\n\t\t<li>Second half average efficiency: 13.33</li>\n\t\t<li>Efficiency improvement: 13.33 - 11.24 = 2.10 (rounded to 2 decimal places)</li>\n\t</ul>\n\t</li>\n\t<li><strong>Drivers not included:</strong>\n\t<ul>\n\t\t<li>Carol Davis (driver_id = 3): Only has trips in first half (Mar, May)</li>\n\t\t<li>David Wilson (driver_id = 4): Only has trips in second half (Jul, Nov)</li>\n\t\t<li>Emma Brown (driver_id = 5): Only has trips in first half (Feb)</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>The output table is ordered by efficiency improvement in descending order then by name in ascending order.</p>\n</div>\n",
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"translatedTitle": "寻找燃油效率提升的驾驶员",
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"translatedContent": "<p>表：<code>drivers</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| driver_id | int |\n| driver_name | varchar |\n+-------------+---------+\ndriver_id 是这张表的唯一主键。\n每一行都包含一个司机的信息。\n</pre>\n\n<p>表：<code>trips</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| trip_id | int |\n| driver_id | int |\n| trip_date | date |\n| distance_km | decimal |\n| fuel_consumed | decimal |\n+---------------+---------+\ntrip_id 是这张表的唯一主键。\n每一行表示一名司机完成的一次行程，包括该次行程行驶的距离和消耗的燃油量。\n</pre>\n\n<p>编写一个解决方案，通过 <strong>比较</strong> 司机在 <strong>上半年</strong> 和 <strong>下半年</strong> 的 <strong>平均燃油效率</strong> 来找出 <strong>燃油效率有所提高</strong> 的司机。</p>\n\n<ul>\n\t<li>通过 <code>distance_km / fuel_consumed</code> 计算 <strong>每次</strong> 行程的 <strong>燃油效率</strong>。</li>\n\t<li><strong>上半年：</strong>一月到六月，<strong>下半年：</strong>七月到十二月</li>\n\t<li>只包含在上半年和下半年都有行程的司机</li>\n\t<li>通过（<code>second_half_avg - first_half_avg</code>）计算 <strong>提升效率</strong>。</li>\n\t<li>将所有结果 <strong>四舍五入</strong> 到小数点后 <code>2</code> 位</li>\n</ul>\n\n<p>返回结果表按提升效率 <strong>降序</strong> 排列，然后按司机姓名 <strong>升序</strong> 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>drivers 表：</p>\n\n<pre class=\"example-io\">\n+-----------+---------------+\n| driver_id | driver_name |\n+-----------+---------------+\n| 1 | Alice Johnson |\n| 2 | Bob Smith |\n| 3 | Carol Davis |\n| 4 | David Wilson |\n| 5 | Emma Brown |\n+-----------+---------------+\n</pre>\n\n<p>trips 表：</p>\n\n<pre class=\"example-io\">\n+---------+-----------+------------+-------------+---------------+\n| trip_id | driver_id | trip_date | distance_km | fuel_consumed |\n+---------+-----------+------------+-------------+---------------+\n| 1 | 1 | 2023-02-15 | 120.5 | 10.2 |\n| 2 | 1 | 2023-03-20 | 200.0 | 16.5 |\n| 3 | 1 | 2023-08-10 | 150.0 | 11.0 |\n| 4 | 1 | 2023-09-25 | 180.0 | 12.5 |\n| 5 | 2 | 2023-01-10 | 100.0 | 9.0 |\n| 6 | 2 | 2023-04-15 | 250.0 | 22.0 |\n| 7 | 2 | 2023-10-05 | 200.0 | 15.0 |\n| 8 | 3 | 2023-03-12 | 80.0 | 8.5 |\n| 9 | 3 | 2023-05-18 | 90.0 | 9.2 |\n| 10 | 4 | 2023-07-22 | 160.0 | 12.8 |\n| 11 | 4 | 2023-11-30 | 140.0 | 11.0 |\n| 12 | 5 | 2023-02-28 | 110.0 | 11.5 |\n+---------+-----------+------------+-------------+---------------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+-----------+---------------+------------------+-------------------+------------------------+\n| driver_id | driver_name | first_half_avg | second_half_avg | efficiency_improvement |\n+-----------+---------------+------------------+-------------------+------------------------+\n| 2 | Bob Smith | 11.24 | 13.33 | 2.10 |\n| 1 | Alice Johnson | 11.97 | 14.02 | 2.05 |\n+-----------+---------------+------------------+-------------------+------------------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>Alice Johnson (driver_id = 1):</strong>\n\n\t<ul>\n\t\t<li>上半年行程（一月到六月）：Feb 15 (120.5/10.2 = 11.81), Mar 20 (200.0/16.5 = 12.12)</li>\n\t\t<li>上半年平均效率：(11.81 + 12.12) / 2 = 11.97</li>\n\t\t<li>下半年行程（七月到十二月）：Aug 10 (150.0/11.0 = 13.64), Sep 25 (180.0/12.5 = 14.40)</li>\n\t\t<li>下半年平均效率：(13.64 + 14.40) / 2 = 14.02</li>\n\t\t<li>效率提升：14.02 - 11.97 = 2.05</li>\n\t</ul>\n\t</li>\n\t<li><strong>Bob Smith (driver_id = 2):</strong>\n\t<ul>\n\t\t<li>上半年行程：Jan 10 (100.0/9.0 = 11.11), Apr 15 (250.0/22.0 = 11.36)</li>\n\t\t<li>上半年平均效率：(11.11 + 11.36) / 2 = 11.24</li>\n\t\t<li>下半年行程：Oct 5 (200.0/15.0 = 13.33)</li>\n\t\t<li>下半年平均效率：13.33</li>\n\t\t<li>效率提升：13.33 - 11.24 = 2.10（舍入到 2 位小数）</li>\n\t</ul>\n\t</li>\n\t<li><strong>未包含的司机：</strong>\n\t<ul>\n\t\t<li>Carol Davis (driver_id = 3)：只有上半年的行程（三月，五月）</li>\n\t\t<li>David Wilson (driver_id = 4)：只有下半年的行程（七月，十一月）</li>\n\t\t<li>Emma Brown (driver_id = 5)：只有上半年的行程（二月）</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>输出表按提升效率降序排列，然后按司机名字升序排列。</p>\n</div>\n",
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"sampleTestCase": "{\"headers\":{\"drivers\":[\"driver_id\",\"driver_name\"],\"trips\":[\"trip_id\",\"driver_id\",\"trip_date\",\"distance_km\",\"fuel_consumed\"]},\"rows\":{\"drivers\":[[1,\"Alice Johnson\"],[2,\"Bob Smith\"],[3,\"Carol Davis\"],[4,\"David Wilson\"],[5,\"Emma Brown\"]],\"trips\":[[1,1,\"2023-02-15\",120.5,10.2],[2,1,\"2023-03-20\",200.0,16.5],[3,1,\"2023-08-10\",150.0,11.0],[4,1,\"2023-09-25\",180.0,12.5],[5,2,\"2023-01-10\",100.0,9.0],[6,2,\"2023-04-15\",250.0,22.0],[7,2,\"2023-10-05\",200.0,15.0],[8,3,\"2023-03-12\",80.0,8.5],[9,3,\"2023-05-18\",90.0,9.2],[10,4,\"2023-07-22\",160.0,12.8],[11,4,\"2023-11-30\",140.0,11.0],[12,5,\"2023-02-28\",110.0,11.5]]}}",
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"insert into trips (trip_id, driver_id, trip_date, distance_km, fuel_consumed) values ('9', '3', '2023-05-18', '90.0', '9.2')",
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