861 lines
16 KiB
Markdown
861 lines
16 KiB
Markdown
<!-- GFM-TOC -->
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* [595. Big Countries](#595-big-countries)
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* [627. Swap Salary](#627-swap-salary)
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* [620. Not Boring Movies](#620-not-boring-movies)
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* [596. Classes More Than 5 Students](#596-classes-more-than-5-students)
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* [182. Duplicate Emails](#182-duplicate-emails)
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* [196. Delete Duplicate Emails](#196-delete-duplicate-emails)
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* [175. Combine Two Tables](#175-combine-two-tables)
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* [181. Employees Earning More Than Their Managers](#181-employees-earning-more-than-their-managers)
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* [183. Customers Who Never Order](#183-customers-who-never-order)
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* [184. Department Highest Salary](#184-department-highest-salary)
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* [176. Second Highest Salary](#176-second-highest-salary)
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* [177. Nth Highest Salary](#177-nth-highest-salary)
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* [178. Rank Scores](#178-rank-scores)
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* [180. Consecutive Numbers](#180-consecutive-numbers)
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<!-- GFM-TOC -->
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# 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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+-----------------+------------+------------+--------------+---------------+
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| name | continent | area | population | gdp |
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+-----------------+------------+------------+--------------+---------------+
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| Afghanistan | Asia | 652230 | 25500100 | 20343000 |
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| Albania | Europe | 28748 | 2831741 | 12960000 |
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| Algeria | Africa | 2381741 | 37100000 | 188681000 |
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| Andorra | Europe | 468 | 78115 | 3712000 |
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| Angola | Africa | 1246700 | 20609294 | 100990000 |
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+-----------------+------------+------------+--------------+---------------+
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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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+--------------+-------------+--------------+
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| name | population | area |
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+--------------+-------------+--------------+
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| Afghanistan | 25500100 | 652230 |
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| Algeria | 37100000 | 2381741 |
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+--------------+-------------+--------------+
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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;
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CREATE TABLE World ( NAME VARCHAR ( 255 ), continent VARCHAR ( 255 ), area INT, population INT, gdp INT );
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INSERT INTO World ( NAME, continent, area, population, gdp )
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VALUES
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( 'Afghanistan', 'Asia', '652230', '25500100', '203430000' ),
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( 'Albania', 'Europe', '28748', '2831741', '129600000' ),
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( 'Algeria', 'Africa', '2381741', '37100000', '1886810000' ),
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( 'Andorra', 'Europe', '468', '78115', '37120000' ),
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( '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,
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population,
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area
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FROM
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World
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WHERE
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area > 3000000
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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 |
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| 2 | B | f | 1500 |
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| 3 | C | m | 5500 |
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| 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 |
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| 2 | B | m | 1500 |
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| 3 | C | f | 5500 |
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| 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;
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CREATE TABLE salary ( id INT, NAME VARCHAR ( 100 ), sex CHAR ( 1 ), salary INT );
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INSERT INTO salary ( id, NAME, sex, salary )
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VALUES
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( '1', 'A', 'm', '2500' ),
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( '2', 'B', 'f', '1500' ),
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( '3', 'C', 'm', '5500' ),
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( '4', 'D', 'f', '500' );
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```
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## Solution
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```sql
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UPDATE salary
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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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+---------+-----------+--------------+-----------+
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| id | movie | description | rating |
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+---------+-----------+--------------+-----------+
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| 1 | War | great 3D | 8.9 |
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| 2 | Science | fiction | 8.5 |
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| 3 | irish | boring | 6.2 |
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| 4 | Ice song | Fantacy | 8.6 |
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| 5 | House card| Interesting| 9.1 |
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+---------+-----------+--------------+-----------+
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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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+---------+-----------+--------------+-----------+
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| id | movie | description | rating |
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+---------+-----------+--------------+-----------+
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| 5 | House card| Interesting| 9.1 |
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| 1 | War | great 3D | 8.9 |
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+---------+-----------+--------------+-----------+
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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;
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CREATE TABLE cinema ( id INT, movie VARCHAR ( 255 ), description VARCHAR ( 255 ), rating FLOAT ( 2, 1 ) );
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INSERT INTO cinema ( id, movie, description, rating )
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VALUES
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( 1, 'War', 'great 3D', 8.9 ),
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( 2, 'Science', 'fiction', 8.5 ),
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( 3, 'irish', 'boring', 6.2 ),
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( 4, 'Ice song', 'Fantacy', 8.6 ),
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( 5, 'House card', 'Interesting', 9.1 );
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```
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## Solution
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```sql
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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
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AND description != 'boring'
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ORDER BY
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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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+---------+------------+
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| student | class |
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+---------+------------+
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| A | Math |
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| B | English |
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| C | Math |
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| D | Biology |
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| E | Math |
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| F | Computer |
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| G | Math |
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| H | Math |
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| I | Math |
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+---------+------------+
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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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+---------+
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| Email |
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+---------+
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| a@b.com |
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+---------+
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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;
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CREATE TABLE courses ( student VARCHAR ( 255 ), class VARCHAR ( 255 ) );
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INSERT INTO courses ( student, class )
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VALUES
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( 'A', 'Math' ),
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( 'B', 'English' ),
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( 'C', 'Math' ),
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( 'D', 'Biology' ),
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( 'E', 'Math' ),
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( 'F', 'Computer' ),
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( 'G', 'Math' ),
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( 'H', 'Math' ),
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( 'I', 'Math' );
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```
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## Solution
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```sql
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SELECT
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class
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FROM
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courses
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GROUP BY
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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：
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```html
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+----+---------+
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| Id | Email |
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+----+---------+
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| 1 | a@b.com |
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| 2 | c@d.com |
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| 3 | a@b.com |
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+----+---------+
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```
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查找重复的邮件地址：
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```html
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+---------+
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| Email |
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+---------+
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| a@b.com |
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+---------+
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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;
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CREATE TABLE Person ( Id INT, Email VARCHAR ( 255 ) );
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INSERT INTO Person ( Id, Email )
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VALUES
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( 1, 'a@b.com' ),
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( 2, 'c@d.com' ),
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( 3, 'a@b.com' );
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```
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## Solution
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```sql
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SELECT
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Email
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FROM
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Person
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GROUP BY
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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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## Description
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邮件地址表：
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```html
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+----+---------+
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| Id | Email |
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+----+---------+
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| 1 | a@b.com |
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| 2 | c@d.com |
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| 3 | a@b.com |
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+----+---------+
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```
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查找重复的邮件地址：
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```html
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+---------+
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| Email |
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+---------+
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| a@b.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：
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```sql
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DELETE p1
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FROM
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Person p1,
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Person p2
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WHERE
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p1.Email = p2.Email
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AND p1.Id > p2.Id
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```
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子查询：
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```sql
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DELETE
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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
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DELETE
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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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+-------------+---------+
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| Column Name | Type |
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+-------------+---------+
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| PersonId | int |
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| FirstName | varchar |
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| 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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+-------------+---------+
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| Column Name | Type |
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+-------------+---------+
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| AddressId | int |
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| PersonId | int |
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| City | varchar |
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| 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;
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CREATE TABLE Person ( PersonId INT, FirstName VARCHAR ( 255 ), LastName VARCHAR ( 255 ) );
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DROP TABLE
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IF
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EXISTS Address;
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CREATE TABLE Address ( AddressId INT, PersonId INT, City VARCHAR ( 255 ), State VARCHAR ( 255 ) );
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INSERT INTO Person ( PersonId, LastName, FirstName )
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VALUES
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( 1, 'Wang', 'Allen' );
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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。
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```sql
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SELECT
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FirstName,
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LastName,
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City,
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State
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FROM
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Person P
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LEFT JOIN Address AS 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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+----+-------+--------+-----------+
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| Id | Name | Salary | ManagerId |
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+----+-------+--------+-----------+
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| 1 | Joe | 70000 | 3 |
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| 2 | Henry | 80000 | 4 |
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| 3 | Sam | 60000 | NULL |
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| 4 | Max | 90000 | NULL |
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+----+-------+--------+-----------+
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```
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查找所有员工，他们的薪资大于其经理薪资。
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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;
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CREATE TABLE Employee ( Id INT, NAME VARCHAR ( 255 ), Salary INT, ManagerId INT );
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INSERT INTO Employee ( Id, NAME, Salary, ManagerId )
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VALUES
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( 1, 'Joe', 70000, 3 ),
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( 2, 'Henry', 80000, 4 ),
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( 3, 'Sam', 60000, NULL ),
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( 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
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INNER JOIN Employee E2 ON E1.ManagerId = E2.Id
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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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Curstomers 表：
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```html
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+----+-------+
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| Id | Name |
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+----+-------+
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| 1 | Joe |
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| 2 | Henry |
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| 3 | Sam |
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| 4 | Max |
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+----+-------+
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```
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Orders 表：
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```html
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+----+------------+
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| Id | CustomerId |
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+----+------------+
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| 1 | 3 |
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| 2 | 1 |
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+----+------------+
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```
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查找没有订单的顾客信息：
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```html
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+-----------+
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| Customers |
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+-----------+
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| Henry |
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| Max |
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+-----------+
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```
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## SQL Schema
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|
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```sql
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DROP TABLE
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IF
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EXISTS Customers;
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CREATE TABLE Customers ( Id INT, NAME VARCHAR ( 255 ) );
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DROP TABLE
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IF
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EXISTS Orders;
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CREATE TABLE Orders ( Id INT, CustomerId INT );
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INSERT INTO Customers ( Id, NAME )
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VALUES
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( 1, 'Joe' ),
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( 2, 'Henry' ),
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( 3, 'Sam' ),
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( 4, 'Max' );
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INSERT INTO Orders ( Id, CustomerId )
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VALUES
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( 1, 3 ),
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( 2, 1 );
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```
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## Solution
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左外链接
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```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
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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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```
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子查询
|
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```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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|
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Employee 表：
|
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|
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```html
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+----+-------+--------+--------------+
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| Id | Name | Salary | DepartmentId |
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+----+-------+--------+--------------+
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| 1 | Joe | 70000 | 1 |
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| 2 | Henry | 80000 | 2 |
|
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| 3 | Sam | 60000 | 2 |
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| 4 | Max | 90000 | 1 |
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+----+-------+--------+--------------+
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```
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Department 表：
|
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|
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```html
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+----+----------+
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| Id | Name |
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+----+----------+
|
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| 1 | IT |
|
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| 2 | Sales |
|
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+----+----------+
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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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|
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```html
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+------------+----------+--------+
|
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| Department | Employee | Salary |
|
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+------------+----------+--------+
|
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| IT | Max | 90000 |
|
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| Sales | Henry | 80000 |
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+------------+----------+--------+
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```
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|
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## SQL Schema
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```sql
|
||
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 )
|
||
VALUES
|
||
( 1, 'Joe', 70000, 1 ),
|
||
( 2, 'Henry', 80000, 2 ),
|
||
( 3, 'Sam', 60000, 2 ),
|
||
( 4, 'Max', 90000, 1 );
|
||
INSERT INTO Department ( Id, NAME )
|
||
VALUES
|
||
( 1, 'IT' ),
|
||
( 2, 'Sales' );
|
||
```
|
||
|
||
## Solution
|
||
|
||
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。
|
||
|
||
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。
|
||
|
||
```sql
|
||
SELECT
|
||
D.NAME Department,
|
||
E.NAME Employee,
|
||
E.Salary
|
||
FROM
|
||
Employee E,
|
||
Department D,
|
||
( SELECT DepartmentId, MAX( Salary ) Salary FROM Employee GROUP BY DepartmentId ) M
|
||
WHERE
|
||
E.DepartmentId = D.Id
|
||
AND E.DepartmentId = M.DepartmentId
|
||
AND E.Salary = M.Salary;
|
||
```
|
||
|
||
# 176. Second Highest Salary
|
||
|
||
https://leetcode.com/problems/second-highest-salary/description/
|
||
|
||
## Description
|
||
|
||
```html
|
||
+----+--------+
|
||
| Id | Salary |
|
||
+----+--------+
|
||
| 1 | 100 |
|
||
| 2 | 200 |
|
||
| 3 | 300 |
|
||
+----+--------+
|
||
```
|
||
|
||
查找工资第二高的员工。
|
||
|
||
```html
|
||
+---------------------+
|
||
| SecondHighestSalary |
|
||
+---------------------+
|
||
| 200 |
|
||
+---------------------+
|
||
```
|
||
|
||
如果没有找到，那么就返回 null 而不是不返回数据。
|
||
|
||
## SQL Schema
|
||
|
||
```sql
|
||
DROP TABLE
|
||
IF
|
||
EXISTS Employee;
|
||
CREATE TABLE Employee ( Id INT, Salary INT );
|
||
INSERT INTO Employee ( Id, Salary )
|
||
VALUES
|
||
( 1, 100 ),
|
||
( 2, 200 ),
|
||
( 3, 300 );
|
||
```
|
||
|
||
## Solution
|
||
|
||
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。
|
||
|
||
```sql
|
||
SELECT
|
||
( SELECT DISTINCT Salary FROM Employee ORDER BY Salary DESC LIMIT 1, 1 ) SecondHighestSalary;
|
||
```
|
||
|
||
# 177. Nth Highest Salary
|
||
|
||
## Description
|
||
|
||
查找工资第 N 高的员工。
|
||
|
||
## SQL Schema
|
||
|
||
同 176。
|
||
|
||
## Solution
|
||
|
||
```sql
|
||
CREATE FUNCTION getNthHighestSalary ( N INT ) RETURNS INT BEGIN
|
||
|
||
SET N = N - 1;
|
||
RETURN ( SELECT ( SELECT DISTINCT Salary FROM Employee ORDER BY Salary DESC LIMIT N, 1 ) );
|
||
|
||
END
|
||
```
|
||
|
||
# 178. Rank Scores
|
||
|
||
https://leetcode.com/problems/rank-scores/description/
|
||
|
||
## Description
|
||
|
||
得分表：
|
||
|
||
```html
|
||
+----+-------+
|
||
| Id | Score |
|
||
+----+-------+
|
||
| 1 | 3.50 |
|
||
| 2 | 3.65 |
|
||
| 3 | 4.00 |
|
||
| 4 | 3.85 |
|
||
| 5 | 4.00 |
|
||
| 6 | 3.65 |
|
||
+----+-------+
|
||
```
|
||
|
||
将得分排序，并统计排名。
|
||
|
||
```html
|
||
+-------+------+
|
||
| Score | Rank |
|
||
+-------+------+
|
||
| 4.00 | 1 |
|
||
| 4.00 | 1 |
|
||
| 3.85 | 2 |
|
||
| 3.65 | 3 |
|
||
| 3.65 | 3 |
|
||
| 3.50 | 4 |
|
||
+-------+------+
|
||
```
|
||
|
||
## SQL Schema
|
||
|
||
```sql
|
||
DROP TABLE
|
||
IF
|
||
EXISTS Scores;
|
||
CREATE TABLE Scores ( Id INT, Score DECIMAL ( 3, 2 ) );
|
||
INSERT INTO Scores ( Id, Score )
|
||
VALUES
|
||
( 1, 3.5 ),
|
||
( 2, 3.65 ),
|
||
( 3, 4.0 ),
|
||
( 4, 3.85 ),
|
||
( 5, 4.0 ),
|
||
( 6, 3.65 );
|
||
```
|
||
|
||
## Solution
|
||
|
||
```sql
|
||
SELECT
|
||
S1.score,
|
||
COUNT( DISTINCT S2.score ) Rank
|
||
FROM
|
||
Scores S1
|
||
INNER JOIN Scores S2 ON S1.score <= S2.score
|
||
GROUP BY
|
||
S1.id
|
||
ORDER BY
|
||
S1.score DESC;
|
||
```
|
||
|
||
# 180. Consecutive Numbers
|
||
|
||
https://leetcode.com/problems/consecutive-numbers/description/
|
||
|
||
## Description
|
||
|
||
数字表：
|
||
|
||
```html
|
||
+----+-----+
|
||
| Id | Num |
|
||
+----+-----+
|
||
| 1 | 1 |
|
||
| 2 | 1 |
|
||
| 3 | 1 |
|
||
| 4 | 2 |
|
||
| 5 | 1 |
|
||
| 6 | 2 |
|
||
| 7 | 2 |
|
||
+----+-----+
|
||
```
|
||
|
||
查找连续出现三次的数字。
|
||
|
||
```html
|
||
+-----------------+
|
||
| ConsecutiveNums |
|
||
+-----------------+
|
||
| 1 |
|
||
+-----------------+
|
||
```
|
||
|
||
## SQL Schema
|
||
|
||
```sql
|
||
DROP TABLE
|
||
IF
|
||
EXISTS LOGS;
|
||
CREATE TABLE LOGS ( Id INT, Num INT );
|
||
INSERT INTO LOGS ( Id, Num )
|
||
VALUES
|
||
( 1, 1 ),
|
||
( 2, 1 ),
|
||
( 3, 1 ),
|
||
( 4, 2 ),
|
||
( 5, 1 ),
|
||
( 6, 2 ),
|
||
( 7, 2 );
|
||
```
|
||
|
||
## Solution
|
||
|
||
```sql
|
||
SELECT
|
||
DISTINCT L1.num ConsecutiveNums
|
||
FROM
|
||
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;
|
||
```
|