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101 lines
7.8 KiB
JSON
101 lines
7.8 KiB
JSON
{
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"question": {
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"questionId": "1509",
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"questionFrontendId": "1378",
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"boundTopicId": null,
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"title": "Replace Employee ID With The Unique Identifier",
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"titleSlug": "replace-employee-id-with-the-unique-identifier",
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"content": "<p>Table: <code>Employees</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| name | varchar |\n+---------------+---------+\nid is the primary key (column with unique values) for this table.\nEach row of this table contains the id and the name of an employee in a company.\n</pre>\n\n<p> </p>\n\n<p>Table: <code>EmployeeUNI</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| unique_id | int |\n+---------------+---------+\n(id, unique_id) is the primary key (combination of columns with unique values) for this table.\nEach row of this table contains the id and the corresponding unique id of an employee in the company.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to show the <strong>unique ID </strong>of each user, If a user does not have a unique ID replace just show <code>null</code>.</p>\n\n<p>Return the result table in <strong>any</strong> order.</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> \nEmployees table:\n+----+----------+\n| id | name |\n+----+----------+\n| 1 | Alice |\n| 7 | Bob |\n| 11 | Meir |\n| 90 | Winston |\n| 3 | Jonathan |\n+----+----------+\nEmployeeUNI table:\n+----+-----------+\n| id | unique_id |\n+----+-----------+\n| 3 | 1 |\n| 11 | 2 |\n| 90 | 3 |\n+----+-----------+\n<strong>Output:</strong> \n+-----------+----------+\n| unique_id | name |\n+-----------+----------+\n| null | Alice |\n| null | Bob |\n| 2 | Meir |\n| 3 | Winston |\n| 1 | Jonathan |\n+-----------+----------+\n<strong>Explanation:</strong> \nAlice and Bob do not have a unique ID, We will show null instead.\nThe unique ID of Meir is 2.\nThe unique ID of Winston is 3.\nThe unique ID of Jonathan is 1.\n</pre>\n",
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"translatedTitle": null,
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"isPaidOnly": false,
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"difficulty": "Easy",
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"likes": 828,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Employees\":[\"id\",\"name\"],\"EmployeeUNI\":[\"id\",\"unique_id\"]},\"rows\":{\"Employees\":[[1,\"Alice\"],[7,\"Bob\"],[11,\"Meir\"],[90,\"Winston\"],[3,\"Jonathan\"]],\"EmployeeUNI\":[[3,1],[11,2],[90,3]]}}",
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"categoryTitle": "Database",
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{
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"name": "Database",
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"slug": "database",
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{
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Write your MySQL query statement below\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* Write your T-SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Oracle",
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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 replace_employee_id(employees: pd.DataFrame, employee_uni: 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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"stats": "{\"totalAccepted\": \"222.7K\", \"totalSubmission\": \"269.5K\", \"totalAcceptedRaw\": 222651, \"totalSubmissionRaw\": 269497, \"acRate\": \"82.6%\"}",
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"hints": [],
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"solution": {
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"id": "2017",
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},
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Employees\":[\"id\",\"name\"],\"EmployeeUNI\":[\"id\",\"unique_id\"]},\"rows\":{\"Employees\":[[1,\"Alice\"],[7,\"Bob\"],[11,\"Meir\"],[90,\"Winston\"],[3,\"Jonathan\"]],\"EmployeeUNI\":[[3,1],[11,2],[90,3]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Employees (id int, name varchar(20))\", \"Create table If Not Exists EmployeeUNI (id int, unique_id int)\"], \"mssql\": [\"Create table Employees (id int, name varchar(20))\", \"Create table EmployeeUNI (id int, unique_id int)\"], \"oraclesql\": [\"Create table Employees (id int, name varchar(20))\", \"Create table EmployeeUNI (id int, unique_id int)\"], \"database\": true, \"name\": \"replace_employee_id\", \"pythondata\": [\"Employees = pd.DataFrame([], columns=['id', 'name']).astype({'id':'int64', 'name':'object'})\", \"EmployeeUNI = pd.DataFrame([], columns=['id', 'unique_id']).astype({'id':'int64', 'unique_id':'int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Employees (id int, name varchar(20))\\n\", \"Create table If Not Exists EmployeeUNI (id int, unique_id int)\"], \"database_schema\": {\"Employees\": {\"id\": \"INT\", \"name\": \"VARCHAR(20)\"}, \"EmployeeUNI\": {\"id\": \"INT\", \"unique_id\": \"INT\"}}}",
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"mysqlSchemas": [
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"Create table If Not Exists Employees (id int, name varchar(20))",
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"Create table If Not Exists EmployeeUNI (id int, unique_id int)",
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"Truncate table Employees",
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"insert into Employees (id, name) values ('1', 'Alice')",
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"insert into Employees (id, name) values ('7', 'Bob')",
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"insert into Employees (id, name) values ('11', 'Meir')",
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"insert into Employees (id, name) values ('90', 'Winston')",
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"insert into Employees (id, name) values ('3', 'Jonathan')",
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"Truncate table EmployeeUNI",
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"insert into EmployeeUNI (id, unique_id) values ('3', '1')",
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"insert into EmployeeUNI (id, unique_id) values ('11', '2')",
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"insert into EmployeeUNI (id, unique_id) values ('90', '3')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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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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"challengeQuestion": null,
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"__typename": "QuestionNode"
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}
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}
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} |