mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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107 lines
22 KiB
JSON
107 lines
22 KiB
JSON
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"questionId": "3943",
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"title": "Find Overbooked Employees",
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"content": "<p>Table: <code>employees</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| employee_id | int |\n| employee_name | varchar |\n| department | varchar |\n+---------------+---------+\nemployee_id is the unique identifier for this table.\nEach row contains information about an employee and their department.\n</pre>\n\n<p>Table: <code>meetings</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| meeting_id | int |\n| employee_id | int |\n| meeting_date | date |\n| meeting_type | varchar |\n| duration_hours| decimal |\n+---------------+---------+\nmeeting_id is the unique identifier for this table.\nEach row represents a meeting attended by an employee. meeting_type can be 'Team', 'Client', or 'Training'.\n</pre>\n\n<p>Write a solution to find employees who are <strong>meeting-heavy</strong> - employees who spend more than <code>50%</code> of their working time in meetings during any given week.</p>\n\n<ul>\n\t<li>Assume a standard work week is <code>40</code><strong> hours</strong></li>\n\t<li>Calculate <strong>total meeting hours</strong> per employee <strong>per week</strong> (<strong>Monday to Sunday</strong>)</li>\n\t<li>An employee is meeting-heavy if their weekly meeting hours <code>></code> <code>20</code> hours (<code>50%</code> of <code>40</code> hours)</li>\n\t<li>Count how many weeks each employee was meeting-heavy</li>\n\t<li><strong>Only include</strong> employees who were meeting-heavy for <strong>at least </strong><code>2</code><strong> weeks</strong></li>\n</ul>\n\n<p>Return <em>the result table ordered by the number of meeting-heavy weeks in <strong>descending</strong> order, then by employee 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>employees table:</p>\n\n<pre class=\"example-io\">\n+-------------+----------------+-------------+\n| employee_id | employee_name | department |\n+-------------+----------------+-------------+\n| 1 | Alice Johnson | Engineering |\n| 2 | Bob Smith | Marketing |\n| 3 | Carol Davis | Sales |\n| 4 | David Wilson | Engineering |\n| 5 | Emma Brown | HR |\n+-------------+----------------+-------------+\n</pre>\n\n<p>meetings table:</p>\n\n<pre class=\"example-io\">\n+------------+-------------+--------------+--------------+----------------+\n| meeting_id | employee_id | meeting_date | meeting_type | duration_hours |\n+------------+-------------+--------------+--------------+----------------+\n| 1 | 1 | 2023-06-05 | Team | 8.0 |\n| 2 | 1 | 2023-06-06 | Client | 6.0 |\n| 3 | 1 | 2023-06-07 | Training | 7.0 |\n| 4 | 1 | 2023-06-12 | Team | 12.0 |\n| 5 | 1 | 2023-06-13 | Client | 9.0 |\n| 6 | 2 | 2023-06-05 | Team | 15.0 |\n| 7 | 2 | 2023-06-06 | Client | 8.0 |\n| 8 | 2 | 2023-06-12 | Training | 10.0 |\n| 9 | 3 | 2023-06-05 | Team | 4.0 |\n| 10 | 3 | 2023-06-06 | Client | 3.0 |\n| 11 | 4 | 2023-06-05 | Team | 25.0 |\n| 12 | 4 | 2023-06-19 | Client | 22.0 |\n| 13 | 5 | 2023-06-05 | Training | 2.0 |\n+------------+-------------+--------------+--------------+----------------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+-------------+----------------+-------------+---------------------+\n| employee_id | employee_name | department | meeting_heavy_weeks |\n+-------------+----------------+-------------+---------------------+\n| 1 | Alice Johnson | Engineering | 2 |\n| 4 | David Wilson | Engineering | 2 |\n+-------------+----------------+-------------+---------------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>Alice Johnson (employee_id = 1):</strong>\n\n\t<ul>\n\t\t<li>Week of June 5-11 (2023-06-05 to 2023-06-11): 8.0 + 6.0 + 7.0 = 21.0 hours (> 20 hours)</li>\n\t\t<li>Week of June 12-18 (2023-06-12 to 2023-06-18): 12.0 + 9.0 = 21.0 hours (> 20 hours)</li>\n\t\t<li>Meeting-heavy for 2 weeks</li>\n\t</ul>\n\t</li>\n\t<li><strong>David Wilson (employee_id = 4):</strong>\n\t<ul>\n\t\t<li>Week of June 5-11: 25.0 hours (> 20 hours)</li>\n\t\t<li>Week of June 19-25: 22.0 hours (> 20 hours)</li>\n\t\t<li>Meeting-heavy for 2 weeks</li>\n\t</ul>\n\t</li>\n\t<li><strong>Employees not included:</strong>\n\t<ul>\n\t\t<li>Bob Smith (employee_id = 2): Week of June 5-11: 15.0 + 8.0 = 23.0 hours (> 20), Week of June 12-18: 10.0 hours (< 20). Only 1 meeting-heavy week</li>\n\t\t<li>Carol Davis (employee_id = 3): Week of June 5-11: 4.0 + 3.0 = 7.0 hours (< 20). No meeting-heavy weeks</li>\n\t\t<li>Emma Brown (employee_id = 5): Week of June 5-11: 2.0 hours (< 20). No meeting-heavy weeks</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>The result table is ordered by meeting_heavy_weeks in descending order, then by employee name in ascending order.</p>\n</div>\n",
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"translatedTitle": "查找超预订员工",
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"translatedContent": "<p>表：<code>employees</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| employee_id | int |\n| employee_name | varchar |\n| department | varchar |\n+---------------+---------+\nemployee_id 是这张表的唯一主键。\n每一行包含一个员工和他们部门的信息。\n</pre>\n\n<p>表：<code>meetings</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| meeting_id | int |\n| employee_id | int |\n| meeting_date | date |\n| meeting_type | varchar |\n| duration_hours| decimal |\n+---------------+---------+\nmeeting_id 是这张表的唯一主键。\n每一行表示一位员工参加的会议。meeting_type 可以是 'Team'，'Client' 或 'Training'。\n</pre>\n\n<p>编写一个解决方案来查找会议密集型的员工 - 在任何给定周内，花费超过 <code>50%</code> 工作时间在会议上的员工。</p>\n\n<ul>\n\t<li>假定一个标准工作周是 <code>40</code><strong> 小时</strong></li>\n\t<li>计算每位员工 <strong>每周</strong>（<strong>周一至周日</strong>）的 <strong>总会议小时数</strong></li>\n\t<li>员工如果每周会议时间超过 <code>20</code> 小时（<code>40</code> 小时工作时间的 <code>50%</code>），则被视为会议密集型。</li>\n\t<li>统计每位员工有多少周是会议密集周</li>\n\t<li><strong>仅查找 至少</strong> <code>2</code> 周会议密集的员工</li>\n</ul>\n\n<p>返回结果表按会议密集周的数量降序排列，然后按员工姓名升序排列。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>Input:</strong></p>\n\n<p>employees 表：</p>\n\n<pre class=\"example-io\">\n+-------------+----------------+-------------+\n| employee_id | employee_name | department |\n+-------------+----------------+-------------+\n| 1 | Alice Johnson | Engineering |\n| 2 | Bob Smith | Marketing |\n| 3 | Carol Davis | Sales |\n| 4 | David Wilson | Engineering |\n| 5 | Emma Brown | HR |\n+-------------+----------------+-------------+\n</pre>\n\n<p>meetings 表：</p>\n\n<pre class=\"example-io\">\n+------------+-------------+--------------+--------------+----------------+\n| meeting_id | employee_id | meeting_date | meeting_type | duration_hours |\n+------------+-------------+--------------+--------------+----------------+\n| 1 | 1 | 2023-06-05 | Team | 8.0 |\n| 2 | 1 | 2023-06-06 | Client | 6.0 |\n| 3 | 1 | 2023-06-07 | Training | 7.0 |\n| 4 | 1 | 2023-06-12 | Team | 12.0 |\n| 5 | 1 | 2023-06-13 | Client | 9.0 |\n| 6 | 2 | 2023-06-05 | Team | 15.0 |\n| 7 | 2 | 2023-06-06 | Client | 8.0 |\n| 8 | 2 | 2023-06-12 | Training | 10.0 |\n| 9 | 3 | 2023-06-05 | Team | 4.0 |\n| 10 | 3 | 2023-06-06 | Client | 3.0 |\n| 11 | 4 | 2023-06-05 | Team | 25.0 |\n| 12 | 4 | 2023-06-19 | Client | 22.0 |\n| 13 | 5 | 2023-06-05 | Training | 2.0 |\n+------------+-------------+--------------+--------------+----------------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+-------------+----------------+-------------+---------------------+\n| employee_id | employee_name | department | meeting_heavy_weeks |\n+-------------+----------------+-------------+---------------------+\n| 1 | Alice Johnson | Engineering | 2 |\n| 4 | David Wilson | Engineering | 2 |\n+-------------+----------------+-------------+---------------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>Alice Johnson (employee_id = 1):</strong>\n\n\t<ul>\n\t\t<li>6 月 5 日至 11 日（2023-06-05 至 2023-06-11）：8.0 + 6.0 + 7.0 = 21.0 小时（> 20 小时）</li>\n\t\t<li>6 月 12 日至 18 日（2023-06-12 至 2023-06-18）: 12.0 + 9.0 = 21.0 小时（> 20 小时）</li>\n\t\t<li>2 周会议密集</li>\n\t</ul>\n\t</li>\n\t<li><strong>David Wilson (employee_id = 4):</strong>\n\t<ul>\n\t\t<li>6 月 5 日至 11 日：25.0 小时（> 20 小时）</li>\n\t\t<li>6 月 19 日至 25 日：22.0 小时（> 20 小时）</li>\n\t\t<li>2 周会议密集</li>\n\t</ul>\n\t</li>\n\t<li><strong>未包含的员工：</strong>\n\t<ul>\n\t\t<li>Bob Smith（employee_id = 2）：6 月 5 日至 11 日：15.0 + 8.0 = 23.0 小时（> 20），6 月 12 日至 18 日：10.0 小时（< 20）。只有 1 个会议密集周。</li>\n\t\t<li>Carol Davis（employee_id = 3）：6 月 5 日至 11 日：4.0 + 3.0 = 7.0 小时（< 20）。没有会议密集周。</li>\n\t\t<li>Emma Brown（employee_id = 5）：6 月 5 日至 11 日：2.0 小时（< 20）。没有会议密集周。</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>结果表按 meeting_heavy_weeks 降序排列，然后按员工姓名升序排列。</p>\n</div>\n",
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"sampleTestCase": "{\"headers\":{\"employees\":[\"employee_id\",\"employee_name\",\"department\"],\"meetings\":[\"meeting_id\",\"employee_id\",\"meeting_date\",\"meeting_type\",\"duration_hours\"]},\"rows\":{\"employees\":[[1,\"Alice Johnson\",\"Engineering\"],[2,\"Bob Smith\",\"Marketing\"],[3,\"Carol Davis\",\"Sales\"],[4,\"David Wilson\",\"Engineering\"],[5,\"Emma Brown\",\"HR\"]],\"meetings\":[[1,1,\"2023-06-05\",\"Team\",8.0],[2,1,\"2023-06-06\",\"Client\",6.0],[3,1,\"2023-06-07\",\"Training\",7.0],[4,1,\"2023-06-12\",\"Team\",12.0],[5,1,\"2023-06-13\",\"Client\",9.0],[6,2,\"2023-06-05\",\"Team\",15.0],[7,2,\"2023-06-06\",\"Client\",8.0],[8,2,\"2023-06-12\",\"Training\",10.0],[9,3,\"2023-06-05\",\"Team\",4.0],[10,3,\"2023-06-06\",\"Client\",3.0],[11,4,\"2023-06-05\",\"Team\",25.0],[12,4,\"2023-06-19\",\"Client\",22.0],[13,5,\"2023-06-05\",\"Training\",2.0]]}}",
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"Truncate table employees",
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"insert into employees (employee_id, employee_name, department) values ('1', 'Alice Johnson', 'Engineering')",
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"insert into employees (employee_id, employee_name, department) values ('2', 'Bob Smith', 'Marketing')",
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"insert into employees (employee_id, employee_name, department) values ('3', 'Carol Davis', 'Sales')",
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"insert into employees (employee_id, employee_name, department) values ('4', 'David Wilson', 'Engineering')",
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"Truncate table meetings",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('1', '1', '2023-06-05', 'Team', '8.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('2', '1', '2023-06-06', 'Client', '6.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('3', '1', '2023-06-07', 'Training', '7.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('4', '1', '2023-06-12', 'Team', '12.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('5', '1', '2023-06-13', 'Client', '9.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('6', '2', '2023-06-05', 'Team', '15.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('7', '2', '2023-06-06', 'Client', '8.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('8', '2', '2023-06-12', 'Training', '10.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('9', '3', '2023-06-05', 'Team', '4.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('10', '3', '2023-06-06', 'Client', '3.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('11', '4', '2023-06-05', 'Team', '25.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('12', '4', '2023-06-19', 'Client', '22.0')",
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"insert into meetings (meeting_id, employee_id, meeting_date, meeting_type, duration_hours) values ('13', '5', '2023-06-05', 'Training', '2.0')"
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