CS-Notes/docs/notes/Leetcode-Database 题解.md
2019-06-19 22:10:47 +08:00

1017 lines
21 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

<!-- GFM-TOC -->
* [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
https://leetcode.com/problems/big-countries/description/
## Description
```html
+-----------------+------------+------------+--------------+---------------+
| 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 |
+-----------------+------------+------------+--------------+---------------+
```
查找面积超过 3,000,000 或者人口数超过 25,000,000 的国家。
```html
+--------------+-------------+--------------+
| name | population | area |
+--------------+-------------+--------------+
| Afghanistan | 25500100 | 652230 |
| Algeria | 37100000 | 2381741 |
+--------------+-------------+--------------+
```
## SQL Schema
SQL Schema 用于在本地环境下创建表结构并导入数据,从而方便在本地环境解答。
```sql
DROP TABLE
IF
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 )
VALUES
( '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' );
```
## Solution
```sql
SELECT name,
population,
area
FROM
World
WHERE
area > 3000000
OR population > 25000000;
```
# 627. Swap Salary
https://leetcode.com/problems/swap-salary/description/
## Description
```html
| id | name | sex | salary |
|----|------|-----|--------|
| 1 | A | m | 2500 |
| 2 | B | f | 1500 |
| 3 | C | m | 5500 |
| 4 | D | f | 500 |
```
只用一个 SQL 查询,将 sex 字段反转。
```html
| id | name | sex | salary |
|----|------|-----|--------|
| 1 | A | f | 2500 |
| 2 | B | m | 1500 |
| 3 | C | f | 5500 |
| 4 | D | m | 500 |
```
## SQL Schema
```sql
DROP TABLE
IF
EXISTS salary;
CREATE TABLE salary ( id INT, NAME VARCHAR ( 100 ), sex CHAR ( 1 ), salary INT );
INSERT INTO salary ( id, NAME, sex, salary )
VALUES
( '1', 'A', 'm', '2500' ),
( '2', 'B', 'f', '1500' ),
( '3', 'C', 'm', '5500' ),
( '4', 'D', 'f', '500' );
```
## Solution
使用异或操作,两个相等的数异或的结果为 0而 0 与任何一个数异或的结果为这个数。
```
'f' ^ 'm' ^ 'f' = 'm'
'm' ^ 'm' ^ 'f' = 'f'
```
```sql
UPDATE salary
SET sex = CHAR ( ASCII(sex) ^ ASCII( 'm' ) ^ ASCII( 'f' ) );
```
# 620. Not Boring Movies
https://leetcode.com/problems/not-boring-movies/description/
## Description
```html
+---------+-----------+--------------+-----------+
| id | movie | description | rating |
+---------+-----------+--------------+-----------+
| 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 |
+---------+-----------+--------------+-----------+
```
查找 id 为奇数,并且 description 不是 boring 的电影,按 rating 降序。
```html
+---------+-----------+--------------+-----------+
| id | movie | description | rating |
+---------+-----------+--------------+-----------+
| 5 | House card| Interesting| 9.1 |
| 1 | War | great 3D | 8.9 |
+---------+-----------+--------------+-----------+
```
## SQL Schema
```sql
DROP TABLE
IF
EXISTS cinema;
CREATE TABLE cinema ( id INT, movie VARCHAR ( 255 ), description VARCHAR ( 255 ), rating FLOAT ( 2, 1 ) );
INSERT INTO cinema ( id, movie, description, rating )
VALUES
( 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 );
```
## Solution
```sql
SELECT
*
FROM
cinema
WHERE
id % 2 = 1
AND description != 'boring'
ORDER BY
rating DESC;
```
# 596. Classes More Than 5 Students
https://leetcode.com/problems/classes-more-than-5-students/description/
## Description
```html
+---------+------------+
| student | class |
+---------+------------+
| A | Math |
| B | English |
| C | Math |
| D | Biology |
| E | Math |
| F | Computer |
| G | Math |
| H | Math |
| I | Math |
+---------+------------+
```
查找有五名及以上 student 的 class。
```html
+---------+
| class |
+---------+
| Math |
+---------+
```
## SQL Schema
```sql
DROP TABLE
IF
EXISTS courses;
CREATE TABLE courses ( student VARCHAR ( 255 ), class VARCHAR ( 255 ) );
INSERT INTO courses ( student, class )
VALUES
( 'A', 'Math' ),
( 'B', 'English' ),
( 'C', 'Math' ),
( 'D', 'Biology' ),
( 'E', 'Math' ),
( 'F', 'Computer' ),
( 'G', 'Math' ),
( 'H', 'Math' ),
( 'I', 'Math' );
```
## Solution
对 class 列进行分组之后,再使用 count 汇总函数统计数量,统计之后使用 having 进行过滤。
```sql
SELECT
class
FROM
courses
GROUP BY
class
HAVING
count( DISTINCT student ) >= 5;
```
# 182. Duplicate Emails
https://leetcode.com/problems/duplicate-emails/description/
## Description
邮件地址表:
```html
+----+---------+
| Id | Email |
+----+---------+
| 1 | a@b.com |
| 2 | c@d.com |
| 3 | a@b.com |
+----+---------+
```
查找重复的邮件地址:
```html
+---------+
| Email |
+---------+
| a@b.com |
+---------+
```
## SQL Schema
```sql
DROP TABLE
IF
EXISTS Person;
CREATE TABLE Person ( Id INT, Email VARCHAR ( 255 ) );
INSERT INTO Person ( Id, Email )
VALUES
( 1, 'a@b.com' ),
( 2, 'c@d.com' ),
( 3, 'a@b.com' );
```
## Solution
对 Email 进行分组,如果相同 Email 的数量大于等于 2则表示该 Email 重复。
```sql
SELECT
Email
FROM
Person
GROUP BY
Email
HAVING
COUNT( * ) >= 2;
```
# 196. Delete Duplicate Emails
https://leetcode.com/problems/delete-duplicate-emails/description/
## Description
邮件地址表:
```html
+----+---------+
| Id | Email |
+----+---------+
| 1 | john@example.com |
| 2 | bob@example.com |
| 3 | john@example.com |
+----+---------+
```
删除重复的邮件地址:
```html
+----+------------------+
| Id | Email |
+----+------------------+
| 1 | john@example.com |
| 2 | bob@example.com |
+----+------------------+
```
## SQL Schema
与 182 相同。
## Solution
只保留相同 Email 中 Id 最小的那一个,然后删除其它的。
连接:
```sql
DELETE p1
FROM
Person p1,
Person p2
WHERE
p1.Email = p2.Email
AND p1.Id > p2.Id
```
子查询:
```sql
DELETE
FROM
Person
WHERE
id NOT IN ( SELECT id FROM ( SELECT min( id ) AS id FROM Person GROUP BY email ) AS m );
```
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。
```sql
DELETE
FROM
Person
WHERE
id NOT IN ( SELECT min( id ) AS id FROM Person GROUP BY email );
```
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)
# 175. Combine Two Tables
https://leetcode.com/problems/combine-two-tables/description/
## Description
Person 表:
```html
+-------------+---------+
| Column Name | Type |
+-------------+---------+
| PersonId | int |
| FirstName | varchar |
| LastName | varchar |
+-------------+---------+
PersonId is the primary key column for this table.
```
Address 表:
```html
+-------------+---------+
| Column Name | Type |
+-------------+---------+
| AddressId | int |
| PersonId | int |
| City | varchar |
| State | varchar |
+-------------+---------+
AddressId is the primary key column for this table.
```
查找 FirstName, LastName, City, State 数据,而不管一个用户有没有填地址信息。
## SQL Schema
```sql
DROP TABLE
IF
EXISTS Person;
CREATE TABLE Person ( PersonId INT, FirstName VARCHAR ( 255 ), LastName VARCHAR ( 255 ) );
DROP TABLE
IF
EXISTS Address;
CREATE TABLE Address ( AddressId INT, PersonId INT, City VARCHAR ( 255 ), State VARCHAR ( 255 ) );
INSERT INTO Person ( PersonId, LastName, FirstName )
VALUES
( 1, 'Wang', 'Allen' );
INSERT INTO Address ( AddressId, PersonId, City, State )
VALUES
( 1, 2, 'New York City', 'New York' );
```
## Solution
涉及到 Person 和 Address 两个表,在对这两个表执行连接操作时,因为要保留 Person 表中的信息,即使在 Address 表中没有关联的信息也要保留。此时可以用左外连接,将 Person 表放在 LEFT JOIN 的左边。
```sql
SELECT
FirstName,
LastName,
City,
State
FROM
Person P
LEFT JOIN Address A
ON P.PersonId = A.PersonId;
```
# 181. Employees Earning More Than Their Managers
https://leetcode.com/problems/employees-earning-more-than-their-managers/description/
## Description
Employee 表:
```html
+----+-------+--------+-----------+
| Id | Name | Salary | ManagerId |
+----+-------+--------+-----------+
| 1 | Joe | 70000 | 3 |
| 2 | Henry | 80000 | 4 |
| 3 | Sam | 60000 | NULL |
| 4 | Max | 90000 | NULL |
+----+-------+--------+-----------+
```
查找薪资大于其经理薪资的员工信息。
## SQL Schema
```sql
DROP TABLE
IF
EXISTS Employee;
CREATE TABLE Employee ( Id INT, NAME VARCHAR ( 255 ), Salary INT, ManagerId INT );
INSERT INTO Employee ( Id, NAME, Salary, ManagerId )
VALUES
( 1, 'Joe', 70000, 3 ),
( 2, 'Henry', 80000, 4 ),
( 3, 'Sam', 60000, NULL ),
( 4, 'Max', 90000, NULL );
```
## Solution
```sql
SELECT
E1.NAME AS Employee
FROM
Employee E1
INNER JOIN Employee E2
ON E1.ManagerId = E2.Id
AND E1.Salary > E2.Salary;
```
# 183. Customers Who Never Order
https://leetcode.com/problems/customers-who-never-order/description/
## Description
Customers 表:
```html
+----+-------+
| Id | Name |
+----+-------+
| 1 | Joe |
| 2 | Henry |
| 3 | Sam |
| 4 | Max |
+----+-------+
```
Orders 表:
```html
+----+------------+
| Id | CustomerId |
+----+------------+
| 1 | 3 |
| 2 | 1 |
+----+------------+
```
查找没有订单的顾客信息:
```html
+-----------+
| Customers |
+-----------+
| Henry |
| Max |
+-----------+
```
## SQL Schema
```sql
DROP TABLE
IF
EXISTS Customers;
CREATE TABLE Customers ( Id INT, NAME VARCHAR ( 255 ) );
DROP TABLE
IF
EXISTS Orders;
CREATE TABLE Orders ( Id INT, CustomerId INT );
INSERT INTO Customers ( Id, NAME )
VALUES
( 1, 'Joe' ),
( 2, 'Henry' ),
( 3, 'Sam' ),
( 4, 'Max' );
INSERT INTO Orders ( Id, CustomerId )
VALUES
( 1, 3 ),
( 2, 1 );
```
## Solution
左外链接
```sql
SELECT
C.Name AS Customers
FROM
Customers C
LEFT JOIN Orders O
ON C.Id = O.CustomerId
WHERE
O.CustomerId IS NULL;
```
子查询
```sql
SELECT
Name AS Customers
FROM
Customers
WHERE
Id NOT IN ( SELECT CustomerId FROM Orders );
```
# 184. Department Highest Salary
https://leetcode.com/problems/department-highest-salary/description/
## Description
Employee 表:
```html
+----+-------+--------+--------------+
| Id | Name | Salary | DepartmentId |
+----+-------+--------+--------------+
| 1 | Joe | 70000 | 1 |
| 2 | Henry | 80000 | 2 |
| 3 | Sam | 60000 | 2 |
| 4 | Max | 90000 | 1 |
+----+-------+--------+--------------+
```
Department 表:
```html
+----+----------+
| Id | Name |
+----+----------+
| 1 | IT |
| 2 | Sales |
+----+----------+
```
查找一个 Department 中收入最高者的信息:
```html
+------------+----------+--------+
| Department | Employee | Salary |
+------------+----------+--------+
| IT | Max | 90000 |
| Sales | Henry | 80000 |
+------------+----------+--------+
```
## SQL Schema
```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 |
+---------------------+
```
没有找到返回 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
要统计某个 score 的排名,只要统计大于该 score 的 score 数量,然后加 1。
| score | 大于该 score 的 score 数量 | 排名 |
| :---: | :---: | :---: |
| 4.1 | 2 | 3 |
| 4.2 | 1 | 2 |
| 4.3 | 0 | 1 |
但是在本题中,相同的 score 只算一个排名:
| score | 排名 |
| :---: | :---: |
| 4.1 | 3 |
| 4.1 | 3 |
| 4.2 | 2 |
| 4.2 | 2 |
| 4.3 | 1 |
| 4.3 | 1 |
可以按 score 进行分组,将同一个分组中的 score 只当成一个。
但是如果分组字段只有 score 的话,那么相同的 score 最后的结果只会有一个,例如上面的 6 个记录最后只取出 3 个。
| score | 排名 |
| :---: | :---: |
| 4.1 | 3 |
| 4.2 | 2 |
| 4.3 | 1 |
所以在分组中需要加入 Id每个记录显示一个结果。综上需要使用 score 和 id 两个分组字段。
在下面的实现中,首先将 Scores 表根据 score 字段进行自连接,得到一个新表,然后在新表上对 id 和 score 进行分组。
```sql
SELECT
S1.score 'Score',
COUNT( DISTINCT S2.score ) 'Rank'
FROM
Scores S1
INNER JOIN Scores S2
ON S1.score <= S2.score
GROUP BY
S1.id, S1.score
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;
```
# 626. Exchange Seats
https://leetcode.com/problems/exchange-seats/description/
## Description
seat 表存储着座位对应的学生。
```html
+---------+---------+
| id | student |
+---------+---------+
| 1 | Abbot |
| 2 | Doris |
| 3 | Emerson |
| 4 | Green |
| 5 | Jeames |
+---------+---------+
```
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
+---------+---------+
| id | student |
+---------+---------+
| 1 | Doris |
| 2 | Abbot |
| 3 | Green |
| 4 | Emerson |
| 5 | Jeames |
+---------+---------+
```
## SQL Schema
```sql
DROP TABLE
IF
EXISTS seat;
CREATE TABLE seat ( id INT, student VARCHAR ( 255 ) );
INSERT INTO seat ( id, student )
VALUES
( '1', 'Abbot' ),
( '2', 'Doris' ),
( '3', 'Emerson' ),
( '4', 'Green' ),
( '5', 'Jeames' );
```
## Solution
使用多个 union。
```sql
# 处理偶数 id,让 id 1
# 例如 2,4,6,... 变成 1,3,5,...
SELECT
s1.id - 1 AS id,
s1.student
FROM
seat s1
WHERE
s1.id MOD 2 = 0 UNION
# 处理奇数 id,让 id 1。但是如果最大的 id 为奇数,则不做处理
# 例如 1,3,5,... 变成 2,4,6,...
SELECT
s2.id + 1 AS id,
s2.student
FROM
seat s2
WHERE
s2.id MOD 2 = 1
AND s2.id != ( SELECT max( s3.id ) FROM seat s3 ) UNION
# 如果最大的 id 为奇数,单独取出这个数
SELECT
s4.id AS id,
s4.student
FROM
seat s4
WHERE
s4.id MOD 2 = 1
AND s4.id = ( SELECT max( s5.id ) FROM seat s5 )
ORDER BY
id;
```
# 微信公众号
更多精彩内容将发布在微信公众号 CyC2018 上,你也可以在公众号后台和我交流学习和求职相关的问题。另外,公众号提供了该项目的 PDF 等离线阅读版本,后台回复 "下载" 即可领取。公众号也提供了一份技术面试复习大纲,不仅系统整理了面试知识点,而且标注了各个知识点的重要程度,从而帮你理清多而杂的面试知识点,后台回复 "大纲" 即可领取。我基本是按照这个大纲来进行复习的,对我拿到了 BAT 头条等 Offer 起到很大的帮助。你们完全可以和我一样根据大纲上列的知识点来进行复习,就不用看很多不重要的内容,也可以知道哪些内容很重要从而多安排一些复习时间。
<div align="center"><img width="500px" src="https://cs-notes-1256109796.cos.ap-guangzhou.myqcloud.com/other/公众号海报2.png"></img></div>