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存量题库数据更新
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@@ -6,13 +6,13 @@
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"boundTopicId": null,
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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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"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+-------------+---------+\nIn SQL,(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>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 result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">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": null,
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"difficulty": "Easy",
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"similarQuestions": "[]",
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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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@@ -45,14 +45,33 @@
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef reformat_table(department: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"hints": [],
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"solution": null,
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"solution": {
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"id": "1604",
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"__typename": "ArticleNode"
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},
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"status": null,
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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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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Department (id int, revenue int, month varchar(5))\"\n ],\n \"mssql\": [\n \"Create table Department (id int, revenue int, month varchar(5))\"\n ],\n \"oraclesql\": [\n \"Create table Department (id int, revenue int, month varchar(5))\"\n ],\n \"database\": true\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Department (id int, revenue int, month varchar(5))\"], \"mssql\": [\"Create table Department (id int, revenue int, month varchar(5))\"], \"oraclesql\": [\"Create table Department (id int, revenue int, month varchar(5))\"], \"database\": true, \"name\": \"reformat_table\", \"pythondata\": [\"Department = pd.DataFrame([], columns=['id', 'revenue', 'month']).astype({'id':'Int64', 'revenue':'Int64', 'month':'object'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Department (id int, revenue int, month varchar(5))\"], \"database_schema\": {\"Department\": {\"id\": \"INT\", \"revenue\": \"INT\", \"month\": \"VARCHAR(5)\"}}}",
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -67,7 +86,7 @@
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"enableRunCode": true,
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"]}",
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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"libraryUrl": null,
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