{ "data": { "question": { "questionId": "595", "questionFrontendId": "595", "boundTopicId": null, "title": "Big Countries", "titleSlug": "big-countries", "content": "
Table: World
\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| name | varchar |\n| continent | varchar |\n| area | int |\n| population | int |\n| gdp | bigint |\n+-------------+---------+\nname is the primary key (column with unique values) for this table.\nEach row of this table gives information about the name of a country, the continent to which it belongs, its area, the population, and its GDP value.\n\n\n
\n\n
A country is big if:
\n\n3000000 km2
), or25000000
).Write a solution to find the name, population, and area of the big countries.
\n\nReturn the result table in any order.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nWorld table:\n+-------------+-----------+---------+------------+--------------+\n| name | continent | area | population | gdp |\n+-------------+-----------+---------+------------+--------------+\n| Afghanistan | Asia | 652230 | 25500100 | 20343000000 |\n| Albania | Europe | 28748 | 2831741 | 12960000000 |\n| Algeria | Africa | 2381741 | 37100000 | 188681000000 |\n| Andorra | Europe | 468 | 78115 | 3712000000 |\n| Angola | Africa | 1246700 | 20609294 | 100990000000 |\n+-------------+-----------+---------+------------+--------------+\nOutput: \n+-------------+------------+---------+\n| name | population | area |\n+-------------+------------+---------+\n| Afghanistan | 25500100 | 652230 |\n| Algeria | 37100000 | 2381741 |\n+-------------+------------+---------+\n\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 2403, "dislikes": 1266, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\": {\"World\": [\"name\", \"continent\",\t\"area\",\t\"population\", \"gdp\"]}, \"rows\": {\"World\": [[\"Afghanistan\", \"Asia\", 652230, 25500100, 20343000000], [\"Albania\", \"Europe\", 28748, 2831741, 12960000000], [\"Algeria\", \"Africa\", 2381741, 37100000, 188681000000], [\"Andorra\", \"Europe\", 468, 78115,\t3712000000], [\"Angola\", \"Africa\", 1246700, 20609294, 100990000000]]}}", "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": 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[\"Andorra\", \"Europe\", 468, 78115,\t3712000000], [\"Angola\", \"Africa\", 1246700, 20609294, 100990000000]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists World (name varchar(255), continent varchar(255), area int, population int, gdp bigint)\"], \"mssql\": [\"Create table World (name varchar(255), continent varchar(255), area int, population int, gdp bigint)\"], \"oraclesql\": [\"Create table World (name varchar(255), continent varchar(255), area int, population int, gdp int)\"], \"database\": true, \"name\": \"big_countries\", \"pythondata\": [\"World = pd.DataFrame([], columns=['name', 'continent', 'area', 'population', 'gdp']).astype({'name':'object', 'continent':'object', 'area':'Int64', 'population':'Int64', 'gdp':'Int64'})\"], \"manual\": false, \"postgresql\": [\"Create table If Not Exists World (name varchar(255), continent varchar(255), area int, population int, gdp bigint)\"], \"database_schema\": {\"World\": {\"name\": \"VARCHAR(255)\", \"continent\": 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