> For the complete documentation index, see [llms.txt](https://dfine.gitbook.io/leetcode/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dfine.gitbook.io/leetcode/595.big_countries.md).

# 595.Big Countires

**595.Big Countries**

难度:Easy

> SQL架构

```
这里有张 World 表
+-----------------+------------+------------+--------------+---------------+
| name            | continent  | area       | population   | gdp           |
+-----------------+------------+------------+--------------+---------------+
| Afghanistan     | Asia       | 652230     | 25500100     | 20343000      |
| Albania         | Europe     | 28748      | 2831741      | 12960000      |
| Algeria         | Africa     | 2381741    | 37100000     | 188681000     |
| Andorra         | Europe     | 468        | 78115        | 3712000       |
| Angola          | Africa     | 1246700    | 20609294     | 100990000     |
+-----------------+------------+------------+--------------+---------------+
如果一个国家的面积超过300万平方公里，或者人口超过2500万，那么这个国家就是大国家。

编写一个SQL查询，输出表中所有大国家的名称、人口和面积。

例如，根据上表，我们应该输出:

+--------------+-------------+--------------+
| name         | population  | area         |
+--------------+-------------+--------------+
| Afghanistan  | 25500100    | 652230       |
| Algeria      | 37100000    | 2381741      |
+--------------+-------------+--------------+
```

简单的sql语法：

```
# Write your MySQL query statement below
select name,population,area from World WHERE area>3000000 OR population>25000000;
```

```
执行用时 : 431 ms, 在Big Countries的MySQL提交中击败了100.00% 的用户
内存消耗 : N/A
```


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