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存量题库数据更新

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2023-12-09 18:42:21 +08:00
parent a788808cd7
commit c198538f10
10843 changed files with 288489 additions and 248355 deletions

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@@ -6,13 +6,13 @@
"boundTopicId": null,
"title": "Employees Earning More Than Their Managers",
"titleSlug": "employees-earning-more-than-their-managers",
"content": "<p>Table: <code>Employee</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| name | varchar |\n| salary | int |\n| managerId | int |\n+-------------+---------+\nid is the primary key column for this table.\nEach row of this table indicates the ID of an employee, their name, salary, and the ID of their manager.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write an SQL query to find the employees who earn more than their managers.</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>&nbsp;</p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nEmployee table:\n+----+-------+--------+-----------+\n| id | name | salary | managerId |\n+----+-------+--------+-----------+\n| 1 | Joe | 70000 | 3 |\n| 2 | Henry | 80000 | 4 |\n| 3 | Sam | 60000 | Null |\n| 4 | Max | 90000 | Null |\n+----+-------+--------+-----------+\n<strong>Output:</strong> \n+----------+\n| Employee |\n+----------+\n| Joe |\n+----------+\n<strong>Explanation:</strong> Joe is the only employee who earns more than his manager.\n</pre>\n",
"content": "<p>Table: <code>Employee</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| name | varchar |\n| salary | int |\n| managerId | int |\n+-------------+---------+\nid is the primary key (column with unique values) for this table.\nEach row of this table indicates the ID of an employee, their name, salary, and the ID of their manager.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution&nbsp;to find the employees who earn more than their managers.</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>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nEmployee table:\n+----+-------+--------+-----------+\n| id | name | salary | managerId |\n+----+-------+--------+-----------+\n| 1 | Joe | 70000 | 3 |\n| 2 | Henry | 80000 | 4 |\n| 3 | Sam | 60000 | Null |\n| 4 | Max | 90000 | Null |\n+----+-------+--------+-----------+\n<strong>Output:</strong> \n+----------+\n| Employee |\n+----------+\n| Joe |\n+----------+\n<strong>Explanation:</strong> Joe is the only employee who earns more than his manager.\n</pre>\n",
"translatedTitle": null,
"translatedContent": null,
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 1350,
"dislikes": 152,
"likes": 2469,
"dislikes": 238,
"isLiked": null,
"similarQuestions": "[]",
"exampleTestcases": "{\"headers\": {\"Employee\": [\"id\", \"name\", \"salary\", \"managerId\"]}, \"rows\": {\"Employee\": [[1, \"Joe\", 70000, 3], [2, \"Henry\", 80000, 4], [3, \"Sam\", 60000, null], [4, \"Max\", 90000, null]]}}",
@@ -45,21 +45,33 @@
"langSlug": "oraclesql",
"code": "/* Write your PL/SQL query statement below */\n",
"__typename": "CodeSnippetNode"
},
{
"lang": "Pandas",
"langSlug": "pythondata",
"code": "import pandas as pd\n\ndef find_employees(employee: pd.DataFrame) -> pd.DataFrame:\n ",
"__typename": "CodeSnippetNode"
},
{
"lang": "PostgreSQL",
"langSlug": "postgresql",
"code": "-- Write your PostgreSQL query statement below\n",
"__typename": "CodeSnippetNode"
}
],
"stats": "{\"totalAccepted\": \"352.4K\", \"totalSubmission\": \"531.7K\", \"totalAcceptedRaw\": 352351, \"totalSubmissionRaw\": 531656, \"acRate\": \"66.3%\"}",
"stats": "{\"totalAccepted\": \"578.9K\", \"totalSubmission\": \"840.7K\", \"totalAcceptedRaw\": 578932, \"totalSubmissionRaw\": 840731, \"acRate\": \"68.9%\"}",
"hints": [],
"solution": {
"id": "215",
"canSeeDetail": true,
"paidOnly": false,
"canSeeDetail": false,
"paidOnly": true,
"hasVideoSolution": false,
"paidOnlyVideo": true,
"__typename": "ArticleNode"
},
"status": null,
"sampleTestCase": "{\"headers\": {\"Employee\": [\"id\", \"name\", \"salary\", \"managerId\"]}, \"rows\": {\"Employee\": [[1, \"Joe\", 70000, 3], [2, \"Henry\", 80000, 4], [3, \"Sam\", 60000, null], [4, \"Max\", 90000, null]]}}",
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Employee (id int, name varchar(255), salary int, managerId int)\"\n ],\n \"mssql\": [\n \"Create table Employee (id int, name varchar(255), salary int, managerId int)\"\n ],\n \"oraclesql\": [\n \"Create table Employee (id int, name varchar(255), salary int, managerId int)\"\n ],\n \"database\": true\n}",
"metaData": "{\"mysql\": [\"Create table If Not Exists Employee (id int, name varchar(255), salary int, managerId int)\"], \"mssql\": [\"Create table Employee (id int, name varchar(255), salary int, managerId int)\"], \"oraclesql\": [\"Create table Employee (id int, name varchar(255), salary int, managerId int)\"], \"database\": true, \"name\": \"find_employees\", \"pythondata\": [\"Employee = pd.DataFrame([], columns=['id', 'name', 'salary', 'managerId']).astype({'id':'Int64', 'name':'object', 'salary':'Int64', 'managerId':'Int64'})\\n\"], \"postgresql\": [\"Create table If Not Exists Employee (id int, name varchar(255), salary int, managerId int)\"], \"database_schema\": {\"Employee\": {\"id\": \"INT\", \"name\": \"VARCHAR(255)\", \"salary\": \"INT\", \"managerId\": \"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
@@ -73,7 +85,7 @@
"enableRunCode": true,
"enableTestMode": false,
"enableDebugger": false,
"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>\"]}",
"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>\"]}",
"libraryUrl": null,
"adminUrl": null,
"challengeQuestion": null,