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80 lines
8.0 KiB
JSON
80 lines
8.0 KiB
JSON
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"questionId": "1301",
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"questionFrontendId": "1179",
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"categoryTitle": "Database",
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"boundTopicId": 33147,
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"title": "Reformat Department Table",
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"titleSlug": "reformat-department-table",
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"content": "<p>Table: <code>Department</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| revenue | int |\n| month | varchar |\n+-------------+---------+\n(id, month) is the primary key of this table.\nThe table has information about the revenue of each department per month.\nThe month has values in ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"].\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query to reformat the table such that there is a department id column and a revenue column <strong>for each month</strong>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nDepartment table:\n+------+---------+-------+\n| id | revenue | month |\n+------+---------+-------+\n| 1 | 8000 | Jan |\n| 2 | 9000 | Jan |\n| 3 | 10000 | Feb |\n| 1 | 7000 | Feb |\n| 1 | 6000 | Mar |\n+------+---------+-------+\n<strong>Output:</strong> \n+------+-------------+-------------+-------------+-----+-------------+\n| id | Jan_Revenue | Feb_Revenue | Mar_Revenue | ... | Dec_Revenue |\n+------+-------------+-------------+-------------+-----+-------------+\n| 1 | 8000 | 7000 | 6000 | ... | null |\n| 2 | 9000 | null | null | ... | null |\n| 3 | null | 10000 | null | ... | null |\n+------+-------------+-------------+-------------+-----+-------------+\n<strong>Explanation:</strong> The revenue from Apr to Dec is null.\nNote that the result table has 13 columns (1 for the department id + 12 for the months).\n</pre>\n",
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"translatedTitle": "重新格式化部门表",
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"translatedContent": "<p>部门表 <code>Department</code>：</p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| revenue | int |\n| month | varchar |\n+---------------+---------+\n(id, month) 是表的联合主键。\n这个表格有关于每个部门每月收入的信息。\n月份（month）可以取下列值 ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]。\n</pre>\n\n<p> </p>\n\n<p>编写一个 SQL 查询来重新格式化表，使得新的表中有一个部门 id 列和一些对应 <strong>每个月 </strong>的收入（revenue）列。</p>\n\n<p>查询结果格式如下面的示例所示：</p>\n\n<pre>\nDepartment 表：\n+------+---------+-------+\n| id | revenue | month |\n+------+---------+-------+\n| 1 | 8000 | Jan |\n| 2 | 9000 | Jan |\n| 3 | 10000 | Feb |\n| 1 | 7000 | Feb |\n| 1 | 6000 | Mar |\n+------+---------+-------+\n\n查询得到的结果表：\n+------+-------------+-------------+-------------+-----+-------------+\n| id | Jan_Revenue | Feb_Revenue | Mar_Revenue | ... | Dec_Revenue |\n+------+-------------+-------------+-------------+-----+-------------+\n| 1 | 8000 | 7000 | 6000 | ... | null |\n| 2 | 9000 | null | null | ... | null |\n| 3 | null | 10000 | null | ... | null |\n+------+-------------+-------------+-------------+-----+-------------+\n\n注意，结果表有 13 列 (1个部门 id 列 + 12个月份的收入列)。\n</pre>\n",
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"sampleTestCase": "{\"headers\":{\"Department\":[\"id\",\"revenue\",\"month\"]},\"rows\":{\"Department\":[[1,8000,\"Jan\"],[2,9000,\"Jan\"],[3,10000,\"Feb\"],[1,7000,\"Feb\"],[1,6000,\"Mar\"]]}}",
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"Create table If Not Exists Department (id int, revenue int, month varchar(5))",
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"Truncate table Department",
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"insert into Department (id, revenue, month) values ('1', '8000', 'Jan')",
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"insert into Department (id, revenue, month) values ('2', '9000', 'Jan')",
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"insert into Department (id, revenue, month) values ('3', '10000', 'Feb')",
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"insert into Department (id, revenue, month) values ('1', '7000', 'Feb')",
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"insert into Department (id, revenue, month) values ('1', '6000', 'Mar')"
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"exampleTestcases": "{\"headers\":{\"Department\":[\"id\",\"revenue\",\"month\"]},\"rows\":{\"Department\":[[1,8000,\"Jan\"],[2,9000,\"Jan\"],[3,10000,\"Feb\"],[1,7000,\"Feb\"],[1,6000,\"Mar\"]]}}",
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