[🍉 点击阅读面试进阶指南 ](https://github.com/CyC2018/Backend-Interview-Guide) * [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) # 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 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 ```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 ```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 ```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 | a@b.com | | 2 | c@d.com | | 3 | a@b.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 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 使用左外连接。 ```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 Curstomers 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 ```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; ``` # 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 SELECT s1.id - 1 AS id, s1.student FROM seat s1 WHERE s1.id MOD 2 = 0 UNION 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 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; ```