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            "questionFrontendId": "2668",
            "boundTopicId": null,
            "title": "Find Latest Salaries",
            "titleSlug": "find-latest-salaries",
            "content": null,
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            "isPaidOnly": true,
            "difficulty": "Easy",
            "likes": 14,
            "dislikes": 16,
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            "exampleTestcases": "{\"headers\":{\"Salary\":[\"emp_id\",\"firstname\",\"lastname\",\"salary\",\"department_id\"]},\"rows\":{\"Salary\":[[1,\"Todd\",\"Wilson\",110000,\"D1006\"],[1,\"Todd\",\"Wilson\",106119,\"D1006\"],[2,\"Justin\",\"Simon\",128922,\"D1005\"],[2,\"Justin\",\"Simon\",130000,\"D1005\"],[3,\"Kelly\",\"Rosario\",42689,\"D1002\"],[4,\"Patricia\",\"Powell\",162825,\"D1004\"],[4,\"Patricia\",\"Powell\",170000,\"D1004\"],[5,\"Sherry\",\"Golden\",44101,\"D1002\"],[6,\"Natasha\",\"Swanson\",79632,\"D1005\"],[6,\"Natasha\",\"Swanson\",90000,\"D1005\"]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
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            ],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"1.8K\", \"totalSubmission\": \"2.8K\", \"totalAcceptedRaw\": 1849, \"totalSubmissionRaw\": 2826, \"acRate\": \"65.4%\"}",
            "hints": [],
            "solution": {
                "id": "2040",
                "canSeeDetail": false,
                "paidOnly": true,
                "hasVideoSolution": false,
                "paidOnlyVideo": true,
                "__typename": "ArticleNode"
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            "status": null,
            "sampleTestCase": "{\"headers\":{\"Salary\":[\"emp_id\",\"firstname\",\"lastname\",\"salary\",\"department_id\"]},\"rows\":{\"Salary\":[[1,\"Todd\",\"Wilson\",110000,\"D1006\"],[1,\"Todd\",\"Wilson\",106119,\"D1006\"],[2,\"Justin\",\"Simon\",128922,\"D1005\"],[2,\"Justin\",\"Simon\",130000,\"D1005\"],[3,\"Kelly\",\"Rosario\",42689,\"D1002\"],[4,\"Patricia\",\"Powell\",162825,\"D1004\"],[4,\"Patricia\",\"Powell\",170000,\"D1004\"],[5,\"Sherry\",\"Golden\",44101,\"D1002\"],[6,\"Natasha\",\"Swanson\",79632,\"D1005\"],[6,\"Natasha\",\"Swanson\",90000,\"D1005\"]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Salary (emp_id int,firstname varchar(100),lastname varchar(100),salary int, department_id varchar(100))\"], \"mssql\": [\"Create table Salary (emp_id int,firstname varchar(100),lastname varchar(100),salary int, department_id varchar(100))\"], \"oraclesql\": [\"Create table  Salary (emp_id int,firstname varchar(100),lastname varchar(100),salary int, department_id varchar(100))\"], \"database\": true, \"name\": \"find_latest_salaries\", \"pythondata\": [\"Salary = pd.DataFrame([], columns=['emp_id', 'firstname', 'lastname', 'salary', 'department_id']).astype({'emp_id':'Int64', 'firstname':'object', 'lastname':'object', 'salary':'Int64', 'department_id':'object'})\"], \"postgresql\": [\"Create table If Not Exists Salary (emp_id int,firstname varchar(100),lastname varchar(100),salary int, department_id varchar(100))\"], \"database_schema\": {\"Salary\": {\"emp_id\": \"INT\", \"firstname\": \"VARCHAR(100)\", \"lastname\": \"VARCHAR(100)\", \"salary\": \"INT\", \"department_id\": \"VARCHAR(100)\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Salary (emp_id int,firstname varchar(100),lastname varchar(100),salary int, department_id varchar(100))",
                "Truncate table Salary",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('1', 'Todd', 'Wilson', '110000', 'D1006')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('1', 'Todd', 'Wilson', '106119', 'D1006')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('2', 'Justin', 'Simon', '128922', 'D1005')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('2', 'Justin', 'Simon', '130000', 'D1005')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('3', 'Kelly', 'Rosario', '42689', 'D1002')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('4', 'Patricia', 'Powell', '162825', 'D1004')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('4', 'Patricia', 'Powell', '170000', 'D1004')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('5', 'Sherry', 'Golden', '44101', 'D1002')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('6', 'Natasha', 'Swanson', '79632', 'D1005')",
                "insert into Salary (emp_id, firstname, lastname, salary, department_id) values ('6', 'Natasha', 'Swanson', '90000', 'D1005')"
            ],
            "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>\"]}",
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            "challengeQuestion": null,
            "__typename": "QuestionNode"
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}