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<!-- GFM - TOC -->
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* [595. Big Countries ](#595-big-countries )
* [627. Swap Salary ](#627-swap-salary )
* [620. Not Boring Movies ](#620-not-boring-movies )
* [596. Classes More Than 5 Students ](#596-classes-more-than-5-students )
* [182. Duplicate Emails ](#182-duplicate-emails )
* [196. Delete Duplicate Emails ](#196-delete-duplicate-emails )
* [175. Combine Two Tables ](#175-combine-two-tables )
* [181. Employees Earning More Than Their Managers ](#181-employees-earning-more-than-their-managers )
* [183. Customers Who Never Order ](#183-customers-who-never-order )
* [184. Department Highest Salary ](#184-department-highest-salary )
* [176. Second Highest Salary ](#176-second-highest-salary )
* [177. Nth Highest Salary ](#177-nth-highest-salary )
* [178. Rank Scores ](#178-rank-scores )
* [180. Consecutive Numbers ](#180-consecutive-numbers )
* [626. Exchange Seats ](#626-exchange-seats )
<!-- GFM - TOC -->
# 595. Big Countries
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https://leetcode.com/problems/big-countries/description/
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## Description
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```html
+-----------------+------------+------------+--------------+---------------+
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| name | continent | area | population | gdp |
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+-----------------+------------+------------+--------------+---------------+
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| 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 |
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+-----------------+------------+------------+--------------+---------------+
```
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查找面积超过 3,000,000 或者人口数超过 25,000,000 的国家。
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```html
+--------------+-------------+--------------+
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| name | population | area |
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+--------------+-------------+--------------+
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| Afghanistan | 25500100 | 652230 |
| Algeria | 37100000 | 2381741 |
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+--------------+-------------+--------------+
```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS World;
CREATE TABLE World ( NAME VARCHAR ( 255 ), continent VARCHAR ( 255 ), area INT, population INT, gdp INT );
INSERT INTO World ( NAME, continent, area, population, gdp )
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VALUES
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( 'Afghanistan', 'Asia', '652230', '25500100', '203430000' ),
( 'Albania', 'Europe', '28748', '2831741', '129600000' ),
( 'Algeria', 'Africa', '2381741', '37100000', '1886810000' ),
( 'Andorra', 'Europe', '468', '78115', '37120000' ),
( 'Angola', 'Africa', '1246700', '20609294', '1009900000' );
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```
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## Solution
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```sql
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SELECT name,
population,
area
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FROM
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World
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WHERE
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area > 3000000
OR population > 25000000;
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```
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# 627. Swap Salary
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https://leetcode.com/problems/swap-salary/description/
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## Description
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```html
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| id | name | sex | salary |
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|----|------|-----|--------|
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| 1 | A | m | 2500 |
| 2 | B | f | 1500 |
| 3 | C | m | 5500 |
| 4 | D | f | 500 |
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```
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只用一个 SQL 查询,将 sex 字段反转。
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```html
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| id | name | sex | salary |
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|----|------|-----|--------|
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| 1 | A | f | 2500 |
| 2 | B | m | 1500 |
| 3 | C | f | 5500 |
| 4 | D | m | 500 |
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```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS salary;
CREATE TABLE salary ( id INT, NAME VARCHAR ( 100 ), sex CHAR ( 1 ), salary INT );
INSERT INTO salary ( id, NAME, sex, salary )
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VALUES
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( '1', 'A', 'm', '2500' ),
( '2', 'B', 'f', '1500' ),
( '3', 'C', 'm', '5500' ),
( '4', 'D', 'f', '500' );
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```
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## Solution
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```sql
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UPDATE salary
SET sex = CHAR ( ASCII(sex) ^ ASCII( 'm' ) ^ ASCII( 'f' ) );
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```
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# 620. Not Boring Movies
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https://leetcode.com/problems/not-boring-movies/description/
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## Description
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```html
+---------+-----------+--------------+-----------+
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| id | movie | description | rating |
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+---------+-----------+--------------+-----------+
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| 1 | War | great 3D | 8.9 |
| 2 | Science | fiction | 8.5 |
| 3 | irish | boring | 6.2 |
| 4 | Ice song | Fantacy | 8.6 |
| 5 | House card| Interesting| 9.1 |
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+---------+-----------+--------------+-----------+
```
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查找 id 为奇数,并且 description 不是 boring 的电影,按 rating 降序。
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```html
+---------+-----------+--------------+-----------+
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| id | movie | description | rating |
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+---------+-----------+--------------+-----------+
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| 5 | House card| Interesting| 9.1 |
| 1 | War | great 3D | 8.9 |
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+---------+-----------+--------------+-----------+
```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS cinema;
CREATE TABLE cinema ( id INT, movie VARCHAR ( 255 ), description VARCHAR ( 255 ), rating FLOAT ( 2, 1 ) );
INSERT INTO cinema ( id, movie, description, rating )
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VALUES
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( 1, 'War', 'great 3D', 8.9 ),
( 2, 'Science', 'fiction', 8.5 ),
( 3, 'irish', 'boring', 6.2 ),
( 4, 'Ice song', 'Fantacy', 8.6 ),
( 5, 'House card', 'Interesting', 9.1 );
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```
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## Solution
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```sql
SELECT
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*
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FROM
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cinema
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WHERE
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id % 2 = 1
AND description != 'boring'
ORDER BY
rating DESC;
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```
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# 596. Classes More Than 5 Students
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https://leetcode.com/problems/classes-more-than-5-students/description/
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## Description
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```html
+---------+------------+
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| student | class |
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+---------+------------+
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| A | Math |
| B | English |
| C | Math |
| D | Biology |
| E | Math |
| F | Computer |
| G | Math |
| H | Math |
| I | Math |
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+---------+------------+
```
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查找有五名及以上 student 的 class。
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```html
+---------+
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| class |
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+---------+
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| Math |
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+---------+
```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS courses;
CREATE TABLE courses ( student VARCHAR ( 255 ), class VARCHAR ( 255 ) );
INSERT INTO courses ( student, class )
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VALUES
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( 'A', 'Math' ),
( 'B', 'English' ),
( 'C', 'Math' ),
( 'D', 'Biology' ),
( 'E', 'Math' ),
( 'F', 'Computer' ),
( 'G', 'Math' ),
( 'H', 'Math' ),
( 'I', 'Math' );
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```
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## Solution
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```sql
SELECT
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class
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FROM
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courses
GROUP BY
class
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HAVING
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count( DISTINCT student ) >= 5;
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```
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# 182. Duplicate Emails
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https://leetcode.com/problems/duplicate-emails/description/
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## Description
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邮件地址表:
```html
+----+---------+
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| Id | Email |
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+----+---------+
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| 1 | a@b.com |
| 2 | c@d.com |
| 3 | a@b.com |
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+----+---------+
```
查找重复的邮件地址:
```html
+---------+
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| Email |
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+---------+
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| a@b.com |
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+---------+
```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS Person;
CREATE TABLE Person ( Id INT, Email VARCHAR ( 255 ) );
INSERT INTO Person ( Id, Email )
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VALUES
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( 1, 'a@b.com' ),
( 2, 'c@d.com' ),
( 3, 'a@b.com' );
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```
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## Solution
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```sql
SELECT
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Email
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FROM
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Person
GROUP BY
Email
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HAVING
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COUNT( * ) >= 2;
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```
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# 196. Delete Duplicate Emails
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https://leetcode.com/problems/delete-duplicate-emails/description/
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## Description
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邮件地址表:
```html
+----+---------+
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| Id | Email |
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+----+---------+
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| 1 | a@b.com |
| 2 | c@d.com |
| 3 | a@b.com |
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+----+---------+
```
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删除重复的邮件地址:
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```html
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+----+------------------+
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| Id | Email |
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+----+------------------+
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| 1 | john@example.com |
| 2 | bob@example.com |
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+----+------------------+
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```
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## SQL Schema
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与 182 相同。
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## Solution
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连接:
```sql
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DELETE p1
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FROM
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Person p1,
Person p2
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WHERE
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p1.Email = p2.Email
AND p1.Id > p2.Id
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```
子查询:
```sql
DELETE
FROM
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Person
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WHERE
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id NOT IN ( SELECT id FROM ( SELECT min( id ) AS id FROM Person GROUP BY email ) AS m );
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```
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应该注意的是上述解法额外嵌套了一个 SELECT 语句, 如果不这么做, 会出现错误: You can't specify target table 'Person' for update in FROM clause。以下演示了这种错误解法。
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```sql
DELETE
FROM
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Person
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WHERE
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id NOT IN ( SELECT min( id ) AS id FROM Person GROUP BY email );
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```
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参考:[pMySQL Error 1093 - Can't specify target table for update in FROM clause](https://stackoverflow.com/questions/45494/mysql-error-1093-cant-specify-target-table-for-update-in-from-clause)
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# 175. Combine Two Tables
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https://leetcode.com/problems/combine-two-tables/description/
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## Description
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Person 表:
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```html
+-------------+---------+
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| Column Name | Type |
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+-------------+---------+
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| PersonId | int |
| FirstName | varchar |
| LastName | varchar |
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+-------------+---------+
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PersonId is the primary key column for this table.
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```
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Address 表:
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```html
+-------------+---------+
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| Column Name | Type |
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+-------------+---------+
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| AddressId | int |
| PersonId | int |
| City | varchar |
| State | varchar |
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+-------------+---------+
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AddressId is the primary key column for this table.
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```
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查找 FirstName, LastName, City, State 数据,而不管一个用户有没有填地址信息。
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS Person;
CREATE TABLE Person ( PersonId INT, FirstName VARCHAR ( 255 ), LastName VARCHAR ( 255 ) );
DROP TABLE
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IF
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EXISTS Address;
CREATE TABLE Address ( AddressId INT, PersonId INT, City VARCHAR ( 255 ), State VARCHAR ( 255 ) );
INSERT INTO Person ( PersonId, LastName, FirstName )
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VALUES
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( 1, 'Wang', 'Allen' );
INSERT INTO Address ( AddressId, PersonId, City, State )
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VALUES
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( 1, 2, 'New York City', 'New York' );
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```
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## Solution
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使用左外连接。
```sql
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SELECT
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FirstName,
LastName,
City,
State
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FROM
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Person P
LEFT JOIN Address A
ON P.PersonId = A.PersonId;
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```
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# 181. Employees Earning More Than Their Managers
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https://leetcode.com/problems/employees-earning-more-than-their-managers/description/
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## Description
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Employee 表:
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```html
+----+-------+--------+-----------+
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| Id | Name | Salary | ManagerId |
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+----+-------+--------+-----------+
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| 1 | Joe | 70000 | 3 |
| 2 | Henry | 80000 | 4 |
| 3 | Sam | 60000 | NULL |
| 4 | Max | 90000 | NULL |
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+----+-------+--------+-----------+
```
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查找薪资大于其经理薪资的员工信息。
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS Employee;
CREATE TABLE Employee ( Id INT, NAME VARCHAR ( 255 ), Salary INT, ManagerId INT );
INSERT INTO Employee ( Id, NAME, Salary, ManagerId )
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VALUES
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( 1, 'Joe', 70000, 3 ),
( 2, 'Henry', 80000, 4 ),
( 3, 'Sam', 60000, NULL ),
( 4, 'Max', 90000, NULL );
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```
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## Solution
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```sql
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SELECT
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E1.NAME AS Employee
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FROM
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Employee E1
INNER JOIN Employee E2
ON E1.ManagerId = E2.Id
AND E1.Salary > E2.Salary;
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```
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# 183. Customers Who Never Order
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https://leetcode.com/problems/customers-who-never-order/description/
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## Description
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Customers 表:
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```html
+----+-------+
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| Id | Name |
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+----+-------+
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| 1 | Joe |
| 2 | Henry |
| 3 | Sam |
| 4 | Max |
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+----+-------+
```
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Orders 表:
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```html
+----+------------+
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| Id | CustomerId |
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+----+------------+
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| 1 | 3 |
| 2 | 1 |
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+----+------------+
```
查找没有订单的顾客信息:
```html
+-----------+
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| Customers |
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+-----------+
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| Henry |
| Max |
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+-----------+
```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS Customers;
CREATE TABLE Customers ( Id INT, NAME VARCHAR ( 255 ) );
DROP TABLE
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IF
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EXISTS Orders;
CREATE TABLE Orders ( Id INT, CustomerId INT );
INSERT INTO Customers ( Id, NAME )
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VALUES
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( 1, 'Joe' ),
( 2, 'Henry' ),
( 3, 'Sam' ),
( 4, 'Max' );
INSERT INTO Orders ( Id, CustomerId )
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VALUES
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( 1, 3 ),
( 2, 1 );
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```
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## Solution
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左外链接
```sql
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SELECT
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C.Name AS Customers
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FROM
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Customers C
LEFT JOIN Orders O
ON C.Id = O.CustomerId
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WHERE
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O.CustomerId IS NULL;
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```
子查询
```sql
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SELECT
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Name AS Customers
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FROM
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Customers
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WHERE
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Id NOT IN ( SELECT CustomerId FROM Orders );
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```
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# 184. Department Highest Salary
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https://leetcode.com/problems/department-highest-salary/description/
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## Description
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Employee 表:
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```html
+----+-------+--------+--------------+
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| Id | Name | Salary | DepartmentId |
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+----+-------+--------+--------------+
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| 1 | Joe | 70000 | 1 |
| 2 | Henry | 80000 | 2 |
| 3 | Sam | 60000 | 2 |
| 4 | Max | 90000 | 1 |
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+----+-------+--------+--------------+
```
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Department 表:
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```html
+----+----------+
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| Id | Name |
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+----+----------+
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| 1 | IT |
| 2 | Sales |
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+----+----------+
```
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查找一个 Department 中收入最高者的信息:
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```html
+------------+----------+--------+
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| Department | Employee | Salary |
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+------------+----------+--------+
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| IT | Max | 90000 |
| Sales | Henry | 80000 |
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+------------+----------+--------+
```
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## SQL Schema
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```sql
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DROP TABLE IF EXISTS Employee;
CREATE TABLE Employee ( Id INT, NAME VARCHAR ( 255 ), Salary INT, DepartmentId INT );
DROP TABLE IF EXISTS Department;
CREATE TABLE Department ( Id INT, NAME VARCHAR ( 255 ) );
INSERT INTO Employee ( Id, NAME, Salary, DepartmentId )
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VALUES
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( 1, 'Joe', 70000, 1 ),
( 2, 'Henry', 80000, 2 ),
( 3, 'Sam', 60000, 2 ),
( 4, 'Max', 90000, 1 );
INSERT INTO Department ( Id, NAME )
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VALUES
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( 1, 'IT' ),
( 2, 'Sales' );
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```
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## Solution
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创建一个临时表,包含了部门员工的最大薪资。可以对部门进行分组,然后使用 MAX() 汇总函数取得最大薪资。
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之后使用连接找到一个部门中薪资等于临时表中最大薪资的员工。
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```sql
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SELECT
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D.NAME Department,
E.NAME Employee,
E.Salary
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FROM
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Employee E,
Department D,
( SELECT DepartmentId, MAX( Salary ) Salary FROM Employee GROUP BY DepartmentId ) M
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WHERE
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E.DepartmentId = D.Id
AND E.DepartmentId = M.DepartmentId
AND E.Salary = M.Salary;
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```
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# 176. Second Highest Salary
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https://leetcode.com/problems/second-highest-salary/description/
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## Description
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```html
+----+--------+
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| Id | Salary |
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+----+--------+
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| 1 | 100 |
| 2 | 200 |
| 3 | 300 |
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+----+--------+
```
查找工资第二高的员工。
```html
+---------------------+
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| SecondHighestSalary |
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+---------------------+
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| 200 |
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+---------------------+
```
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没有找到返回 null 而不是不返回数据。
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS Employee;
CREATE TABLE Employee ( Id INT, Salary INT );
INSERT INTO Employee ( Id, Salary )
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VALUES
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( 1, 100 ),
( 2, 200 ),
( 3, 300 );
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```
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## Solution
2018-06-03 21:57:52 +08:00
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为了在没有查找到数据时返回 null, 需要在查询结果外面再套一层 SELECT。
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```sql
SELECT
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( SELECT DISTINCT Salary FROM Employee ORDER BY Salary DESC LIMIT 1, 1 ) SecondHighestSalary;
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```
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# 177. Nth Highest Salary
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## Description
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查找工资第 N 高的员工。
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## SQL Schema
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同 176。
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## Solution
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```sql
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CREATE FUNCTION getNthHighestSalary ( N INT ) RETURNS INT BEGIN
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SET N = N - 1;
RETURN ( SELECT ( SELECT DISTINCT Salary FROM Employee ORDER BY Salary DESC LIMIT N, 1 ) );
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END
```
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# 178. Rank Scores
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https://leetcode.com/problems/rank-scores/description/
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## Description
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得分表:
```html
+----+-------+
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| Id | Score |
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+----+-------+
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| 1 | 3.50 |
| 2 | 3.65 |
| 3 | 4.00 |
| 4 | 3.85 |
| 5 | 4.00 |
| 6 | 3.65 |
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+----+-------+
```
将得分排序,并统计排名。
```html
+-------+------+
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| Score | Rank |
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+-------+------+
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| 4.00 | 1 |
| 4.00 | 1 |
| 3.85 | 2 |
| 3.65 | 3 |
| 3.65 | 3 |
| 3.50 | 4 |
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+-------+------+
```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS Scores;
CREATE TABLE Scores ( Id INT, Score DECIMAL ( 3, 2 ) );
INSERT INTO Scores ( Id, Score )
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VALUES
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( 1, 3.5 ),
( 2, 3.65 ),
( 3, 4.0 ),
( 4, 3.85 ),
( 5, 4.0 ),
( 6, 3.65 );
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```
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## Solution
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```sql
SELECT
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S1.score,
COUNT( DISTINCT S2.score ) Rank
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FROM
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Scores S1
INNER JOIN Scores S2
ON S1.score < = S2.score
GROUP BY
S1.id
ORDER BY
S1.score DESC;
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```
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# 180. Consecutive Numbers
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https://leetcode.com/problems/consecutive-numbers/description/
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## Description
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数字表:
```html
+----+-----+
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| Id | Num |
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+----+-----+
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| 1 | 1 |
| 2 | 1 |
| 3 | 1 |
| 4 | 2 |
| 5 | 1 |
| 6 | 2 |
| 7 | 2 |
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+----+-----+
```
查找连续出现三次的数字。
```html
+-----------------+
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| ConsecutiveNums |
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+-----------------+
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| 1 |
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+-----------------+
```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS LOGS;
CREATE TABLE LOGS ( Id INT, Num INT );
INSERT INTO LOGS ( Id, Num )
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VALUES
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( 1, 1 ),
( 2, 1 ),
( 3, 1 ),
( 4, 2 ),
( 5, 1 ),
( 6, 2 ),
( 7, 2 );
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```
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## Solution
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```sql
SELECT
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DISTINCT L1.num ConsecutiveNums
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FROM
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Logs L1,
Logs L2,
Logs L3
WHERE L1.id = l2.id - 1
AND L2.id = L3.id - 1
AND L1.num = L2.num
AND l2.num = l3.num;
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```
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# 626. Exchange Seats
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https://leetcode.com/problems/exchange-seats/description/
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## Description
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seat 表存储着座位对应的学生。
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```html
+---------+---------+
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| id | student |
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+---------+---------+
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| 1 | Abbot |
| 2 | Doris |
| 3 | Emerson |
| 4 | Green |
| 5 | Jeames |
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+---------+---------+
```
要求交换相邻座位的两个学生,如果最后一个座位是奇数,那么不交换这个座位上的学生。
```html
+---------+---------+
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| id | student |
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+---------+---------+
2019-01-24 09:08:40 +08:00
| 1 | Doris |
| 2 | Abbot |
| 3 | Green |
| 4 | Emerson |
| 5 | Jeames |
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+---------+---------+
```
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## SQL Schema
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```sql
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DROP TABLE
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IF
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EXISTS seat;
CREATE TABLE seat ( id INT, student VARCHAR ( 255 ) );
INSERT INTO seat ( id, student )
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VALUES
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( '1', 'Abbot' ),
( '2', 'Doris' ),
( '3', 'Emerson' ),
( '4', 'Green' ),
( '5', 'Jeames' );
2018-06-29 20:30:16 +08:00
```
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## Solution
2018-06-29 20:30:16 +08:00
2019-01-24 09:08:40 +08:00
使用多个 union。
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```sql
SELECT
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s1.id - 1 AS id,
s1.student
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FROM
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seat s1
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WHERE
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s1.id MOD 2 = 0 UNION
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SELECT
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s2.id + 1 AS id,
s2.student
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FROM
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seat s2
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WHERE
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s2.id MOD 2 = 1
AND s2.id != ( SELECT max( s3.id ) FROM seat s3 ) UNION
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SELECT
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s4.id AS id,
s4.student
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FROM
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seat s4
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WHERE
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s4.id MOD 2 = 1
AND s4.id = ( SELECT max( s5.id ) FROM seat s5 )
ORDER BY
id;
2018-06-03 21:57:52 +08:00
```