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leetcode-problemset/leetcode/originData/[no content]highest-salaries-difference.json
2023-12-09 19:57:46 +08:00

63 lines
4.9 KiB
JSON

{
"data": {
"question": {
"questionId": "3155",
"questionFrontendId": "2853",
"boundTopicId": null,
"title": "Highest Salaries Difference",
"titleSlug": "highest-salaries-difference",
"content": null,
"translatedTitle": null,
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Easy",
"likes": 7,
"dislikes": 1,
"isLiked": null,
"similarQuestions": "[]",
"exampleTestcases": "{\"headers\": {\"Salaries\": [\"emp_name\", \"department\", \"salary\"]},\"rows\": {\"Salaries\": [[\"Kathy\",\"Engineering\",50000],[\"Roy\",\"Marketing\",30000],[\"Charles\",\"Engineering\",45000],[\"Jack\",\"Engineering\",85000],[\"Benjamin\",\"Marketing\",34000],[\"Anthony\",\"Marketing\",42000],[\"Edward\",\"Engineering\",102000],[\"Terry\",\"Engineering\",44000],[\"Evelyn\",\"Marketing\",53000],[\"Arthur\",\"Engineering\",32000]]}}",
"categoryTitle": "Database",
"contributors": [],
"topicTags": [
{
"name": "Database",
"slug": "database",
"translatedName": null,
"__typename": "TopicTagNode"
}
],
"companyTagStats": null,
"codeSnippets": null,
"stats": "{\"totalAccepted\": \"1.1K\", \"totalSubmission\": \"1.5K\", \"totalAcceptedRaw\": 1065, \"totalSubmissionRaw\": 1471, \"acRate\": \"72.4%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\": {\"Salaries\": [\"emp_name\", \"department\", \"salary\"]},\"rows\": {\"Salaries\": [[\"Kathy\",\"Engineering\",50000],[\"Roy\",\"Marketing\",30000],[\"Charles\",\"Engineering\",45000],[\"Jack\",\"Engineering\",85000],[\"Benjamin\",\"Marketing\",34000],[\"Anthony\",\"Marketing\",42000],[\"Edward\",\"Engineering\",102000],[\"Terry\",\"Engineering\",44000],[\"Evelyn\",\"Marketing\",53000],[\"Arthur\",\"Engineering\",32000]]}}",
"metaData": "{\"mysql\": [\"Create table if not exists Salaries(emp_name varchar(30), department varchar(30),salary int)\"], \"mssql\": [\"Create table Salaries(emp_name varchar(30), department varchar(30),salary int)\"], \"oraclesql\": [\"Create table Salaries(emp_name varchar(30), department varchar(30),salary int)\"], \"database\": true, \"name\": \"salaries_difference\", \"pythondata\": [\"Salaries = pd.DataFrame([], columns=['emp_name', 'department', 'salary']).astype({'emp_name':'object', 'department':'object', 'salary':'Int64'})\"], \"postgresql\": [\"Create table if not exists Salaries(emp_name varchar(30), department varchar(30),salary int)\"], \"database_schema\": {\"Salaries\": {\"emp_name\": \"VARCHAR(30)\", \"department\": \"VARCHAR(30)\", \"salary\": \"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
"Create table if not exists Salaries(emp_name varchar(30), department varchar(30),salary int)",
"Truncate table Salaries",
"insert into Salaries (emp_name, department, salary) values ('Kathy', 'Engineering', '50000')",
"insert into Salaries (emp_name, department, salary) values ('Roy', 'Marketing', '30000')",
"insert into Salaries (emp_name, department, salary) values ('Charles', 'Engineering', '45000')",
"insert into Salaries (emp_name, department, salary) values ('Jack', 'Engineering', '85000')",
"insert into Salaries (emp_name, department, salary) values ('Benjamin', 'Marketing', '34000')",
"insert into Salaries (emp_name, department, salary) values ('Anthony', 'Marketing', '42000')",
"insert into Salaries (emp_name, department, salary) values ('Edward', 'Engineering', '102000')",
"insert into Salaries (emp_name, department, salary) values ('Terry', 'Engineering', '44000')",
"insert into Salaries (emp_name, department, salary) values ('Evelyn', 'Marketing', '53000')",
"insert into Salaries (emp_name, department, salary) values ('Arthur', 'Engineering', '32000')"
],
"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>\"], \"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,
"__typename": "QuestionNode"
}
}
}