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leetcode-problemset/leetcode/originData/big-countries.json
2022-05-02 23:44:12 +08:00

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{
"data": {
"question": {
"questionId": "595",
"questionFrontendId": "595",
"boundTopicId": null,
"title": "Big Countries",
"titleSlug": "big-countries",
"content": "<p>Table: <code>World</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| name | varchar |\n| continent | varchar |\n| area | int |\n| population | int |\n| gdp | int |\n+-------------+---------+\nname is the primary key column 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</pre>\n\n<p>&nbsp;</p>\n\n<p>A country is <strong>big</strong> if:</p>\n\n<ul>\n\t<li>it has an area of at least&nbsp;three million (i.e., <code>3000000 km<sup>2</sup></code>), or</li>\n\t<li>it has a population of at least&nbsp;twenty-five million (i.e., <code>25000000</code>).</li>\n</ul>\n\n<p>Write an SQL query to report the name, population, and area of the <strong>big countries</strong>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \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+-------------+-----------+---------+------------+--------------+\n<strong>Output:</strong> \n+-------------+------------+---------+\n| name | population | area |\n+-------------+------------+---------+\n| Afghanistan | 25500100 | 652230 |\n| Algeria | 37100000 | 2381741 |\n+-------------+------------+---------+\n</pre>\n",
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"difficulty": "Easy",
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"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",
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{
"lang": "MySQL",
"langSlug": "mysql",
"code": "# Write your MySQL query statement below\n",
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{
"lang": "MS SQL Server",
"langSlug": "mssql",
"code": "/* Write your T-SQL query statement below */\n",
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{
"lang": "Oracle",
"langSlug": "oraclesql",
"code": "/* Write your PL/SQL query statement below */\n",
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"sampleTestCase": "{\"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]]}}",
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists World (name varchar(255), continent varchar(255), area int, population int, gdp int)\"\n ],\n \"mssql\": [\n \"Create table World (name varchar(255), continent varchar(255), area int, population int, gdp bigint)\"\n ],\n \"oraclesql\": [\n \"Create table World (name varchar(255), continent varchar(255), area int, population int, gdp int)\"\n ],\n \"database\": true\n}",
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"mysqlSchemas": [
"Create table If Not Exists World (name varchar(255), continent varchar(255), area int, population int, gdp int)",
"Truncate table World",
"insert into World (name, continent, area, population, gdp) values ('Afghanistan', 'Asia', '652230', '25500100', '20343000000')",
"insert into World (name, continent, area, population, gdp) values ('Albania', 'Europe', '28748', '2831741', '12960000000')",
"insert into World (name, continent, area, population, gdp) values ('Algeria', 'Africa', '2381741', '37100000', '188681000000')",
"insert into World (name, continent, area, population, gdp) values ('Andorra', 'Europe', '468', '78115', '3712000000')",
"insert into World (name, continent, area, population, gdp) values ('Angola', 'Africa', '1246700', '20609294', '100990000000')"
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