{ "data": { "question": { "questionId": "619", "questionFrontendId": "619", "boundTopicId": null, "title": "Biggest Single Number", "titleSlug": "biggest-single-number", "content": "
Table: MyNumbers
\n+-------------+------+\n| Column Name | Type |\n+-------------+------+\n| num | int |\n+-------------+------+\nThis table may contain duplicates (In other words, there is no primary key for this table in SQL).\nEach row of this table contains an integer.\n\n\n
\n\n
A single number is a number that appeared only once in the MyNumbers
table.
Find the largest single number. If there is no single number, report null
.
The result format is in the following example.
\n\n
Example 1:
\n\n\nInput: \nMyNumbers table:\n+-----+\n| num |\n+-----+\n| 8 |\n| 8 |\n| 3 |\n| 3 |\n| 1 |\n| 4 |\n| 5 |\n| 6 |\n+-----+\nOutput: \n+-----+\n| num |\n+-----+\n| 6 |\n+-----+\nExplanation: The single numbers are 1, 4, 5, and 6.\nSince 6 is the largest single number, we return it.\n\n\n
Example 2:
\n\n\nInput: \nMyNumbers table:\n+-----+\n| num |\n+-----+\n| 8 |\n| 8 |\n| 7 |\n| 7 |\n| 3 |\n| 3 |\n| 3 |\n+-----+\nOutput: \n+------+\n| num |\n+------+\n| null |\n+------+\nExplanation: There are no single numbers in the input table so we return null.\n\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 497, "dislikes": 170, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\": {\"MyNumbers\": [\"num\"]}, \"rows\": {\"MyNumbers\": [[8],[8],[3],[3],[1],[4],[5],[6]]}}\n{\"headers\": {\"MyNumbers\": [\"num\"]}, \"rows\": {\"MyNumbers\": [[8],[8],[7],[7],[3],[3],[3]]}}", "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 biggest_single_number(my_numbers: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below\n", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"129.6K\", \"totalSubmission\": \"223.6K\", \"totalAcceptedRaw\": 129566, \"totalSubmissionRaw\": 223574, \"acRate\": \"58.0%\"}", "hints": [], "solution": { "id": "188", "canSeeDetail": false, "paidOnly": true, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "{\"headers\": {\"MyNumbers\": [\"num\"]}, \"rows\": {\"MyNumbers\": [[8],[8],[3],[3],[1],[4],[5],[6]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists MyNumbers (num int)\"], \"mssql\": [\"Create table MyNumbers (num int)\"], \"oraclesql\": [\"Create table MyNumbers (num int)\"], \"database\": true, \"name\": \"biggest_single_number\", \"pythondata\": [\"MyNumbers = pd.DataFrame([], columns=['num']).astype({'num':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists MyNumbers (num int)\"], \"database_schema\": {\"MyNumbers\": {\"num\": \"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists MyNumbers (num int)", "Truncate table MyNumbers", "insert into MyNumbers (num) values ('8')", "insert into MyNumbers (num) values ('8')", "insert into MyNumbers (num) values ('3')", "insert into MyNumbers (num) values ('3')", "insert into MyNumbers (num) values ('1')", "insert into MyNumbers (num) values ('4')", "insert into MyNumbers (num) values ('5')", "insert into MyNumbers (num) values ('6')" ], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"
MySQL 8.0
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mssql server 2019
.
Oracle Sql 11.2
.
Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0
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