leetcode-problemset/leetcode/originData/swap-salary.json

{
    "data": {
        "question": {
            "questionId": "627",
            "questionFrontendId": "627",
            "boundTopicId": null,
            "title": "Swap Salary",
            "titleSlug": "swap-salary",
            "content": "<p>Table: <code>Salary</code></p>\n\n<pre>\n+-------------+----------+\n| Column Name | Type     |\n+-------------+----------+\n| id          | int      |\n| name        | varchar  |\n| sex         | ENUM     |\n| salary      | int      |\n+-------------+----------+\nid is the primary key (column with unique values) for this table.\nThe sex column is ENUM (category) value of type (&#39;m&#39;, &#39;f&#39;).\nThe table contains information about an employee.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to swap all <code>&#39;f&#39;</code> and <code>&#39;m&#39;</code> values (i.e., change all <code>&#39;f&#39;</code> values to <code>&#39;m&#39;</code> and vice versa) with a <strong>single update statement</strong> and no intermediate temporary tables.</p>\n\n<p>Note that you must write a single update statement, <strong>do not</strong> write any select statement for this problem.</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> \nSalary table:\n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1  | A    | m   | 2500   |\n| 2  | B    | f   | 1500   |\n| 3  | C    | m   | 5500   |\n| 4  | D    | f   | 500    |\n+----+------+-----+--------+\n<strong>Output:</strong> \n+----+------+-----+--------+\n| id | name | sex | salary |\n+----+------+-----+--------+\n| 1  | A    | f   | 2500   |\n| 2  | B    | m   | 1500   |\n| 3  | C    | f   | 5500   |\n| 4  | D    | m   | 500    |\n+----+------+-----+--------+\n<strong>Explanation:</strong> \n(1, A) and (3, C) were changed from &#39;m&#39; to &#39;f&#39;.\n(2, B) and (4, D) were changed from &#39;f&#39; to &#39;m&#39;.\n</pre>\n",
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": false,
            "difficulty": "Easy",
            "likes": 1680,
            "dislikes": 562,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"Salary\":[\"id\",\"name\",\"sex\",\"salary\"]},\"rows\":{\"Salary\":[[1,\"A\",\"m\",2500],[2,\"B\",\"f\",1500],[3,\"C\",\"m\",5500],[4,\"D\",\"f\",500]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": [
                {
                    "lang": "MySQL",
                    "langSlug": "mysql",
                    "code": "# Write your MySQL query statement below\n",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "MS SQL Server",
                    "langSlug": "mssql",
                    "code": "/* Write your T-SQL query statement below */\n",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Oracle",
                    "langSlug": "oraclesql",
                    "code": "/* Write your PL/SQL query statement below */\n",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef swap_salary(salary: pd.DataFrame) -> pd.DataFrame:\n    ",
                    "__typename": "CodeSnippetNode"
                },
                {
                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
                    "code": "-- Write your PostgreSQL query statement below\n",
                    "__typename": "CodeSnippetNode"
                }
            ],
            "stats": "{\"totalAccepted\": \"385.3K\", \"totalSubmission\": \"464.2K\", \"totalAcceptedRaw\": 385282, \"totalSubmissionRaw\": 464233, \"acRate\": \"83.0%\"}",
            "hints": [],
            "solution": {
                "id": "177",
                "canSeeDetail": false,
                "paidOnly": true,
                "hasVideoSolution": false,
                "paidOnlyVideo": true,
                "__typename": "ArticleNode"
            },
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Salary\":[\"id\",\"name\",\"sex\",\"salary\"]},\"rows\":{\"Salary\":[[1,\"A\",\"m\",2500],[2,\"B\",\"f\",1500],[3,\"C\",\"m\",5500],[4,\"D\",\"f\",500]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Salary (id int, name varchar(100), sex char(1), salary int)\"], \"mssql\": [\"Create table Salary (id int, name varchar(100), sex char(1), salary int)\"], \"oraclesql\": [\"Create table Salary (id int, name varchar(100), sex char(1), salary int)\"], \"database\": true, \"manual\": true, \"name\": \"swap_salary\", \"pythondata\": [\"Salary = pd.DataFrame([], columns=['id', 'name', 'sex', 'salary']).astype({'id':'Int64', 'name':'object', 'sex':'object', 'salary':'Int64'})\\n\"], \"postgresql\": [\"Create table If Not Exists Salary (id int, name varchar, sex char, salary int)\\n\"], \"database_schema\": {\"Salary\": {\"id\": \"INT\", \"name\": \"VARCHAR(100)\", \"sex\": \"CHAR(1)\", \"salary\": \"INT\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Salary (id int, name varchar(100), sex char(1), salary int)",
                "Truncate table Salary",
                "insert into Salary (id, name, sex, salary) values ('1', 'A', 'm', '2500')",
                "insert into Salary (id, name, sex, salary) values ('2', 'B', 'f', '1500')",
                "insert into Salary (id, name, sex, salary) values ('3', 'C', 'm', '5500')",
                "insert into Salary (id, name, sex, salary) values ('4', 'D', 'f', '500')"
            ],
            "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"
        }
    }
}