+----+-----------+-----------+---------+--------------------+----------+ | Id | Client_Id | Driver_Id | City_Id | Status |Request_at| +----+-----------+-----------+---------+--------------------+----------+ | 1 | 1 | 10 | 1 | completed |2013-10-01| | 2 | 2 | 11 | 1 | cancelled_by_driver|2013-10-01| | 3 | 3 | 12 | 6 | completed |2013-10-01| | 4 | 4 | 13 | 6 | cancelled_by_client|2013-10-01| | 5 | 1 | 10 | 1 | completed |2013-10-02| | 6 | 2 | 11 | 6 | completed |2013-10-02| | 7 | 3 | 12 | 6 | completed |2013-10-02| | 8 | 2 | 12 | 12 | completed |2013-10-03| | 9 | 3 | 10 | 12 | completed |2013-10-03| | 10 | 4 | 13 | 12 | cancelled_by_driver|2013-10-03| +----+-----------+-----------+---------+--------------------+----------+
Users 表存全部用户。每一个用户有惟一键 Users_Id。Banned 表示这个用户是否被禁止,Role 则是一个表示(‘client’, ‘driver’, ‘partner’)的枚举类型。sql
+----------+--------+--------+ | Users_Id | Banned | Role | +----------+--------+--------+ | 1 | No | client | | 2 | Yes | client | | 3 | No | client | | 4 | No | client | | 10 | No | driver | | 11 | No | driver | | 12 | No | driver | | 13 | No | driver | +----------+--------+--------+
写一段 SQL 语句查出 2013年10月1日 至 2013年10月3日 期间非禁止用户的取消率。基于上表,你的 SQL 语句应返回以下结果,取消率(Cancellation Rate)保留两位小数。函数
+------------+-------------------+ | Day | Cancellation Rate | +------------+-------------------+ | 2013-10-01 | 0.33 | | 2013-10-02 | 0.00 | | 2013-10-03 | 0.50 | +------------+-------------------+
解答:
建立表格code
CREATE TABLE IF NOT EXISTS Trips ( Id INT, Client_Id INT, Driver_Id INT, City_Id INT, Status ENUM('completed', 'cancelled_by_driver', 'cancelled_by_client'), Request_at VARCHAR(50) ); CREATE TABLE IF NOT EXISTS Users ( Users_Id INT, Banned VARCHAR(50), Role ENUM('client', 'driver', 'partner') ); TRUNCATE TABLE Trips; INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('1', '1', '10', '1', 'completed', '2013-10-01'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('2', '2', '11', '1', 'cancelled_by_driver', '2013-10-01'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('3', '3', '12', '6', 'completed', '2013-10-01'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('4', '4', '13', '6', 'cancelled_by_client', '2013-10-01'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('5', '1', '10', '1', 'completed', '2013-10-02'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('6', '2', '11', '6', 'completed', '2013-10-02'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('7', '3', '12', '6', 'completed', '2013-10-02'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('8', '2', '12', '12', 'completed', '2013-10-03'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('9', '3', '10', '12', 'completed', '2013-10-03'); INSERT INTO Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) VALUES ('10', '4', '13', '12', 'cancelled_by_driver', '2013-10-03'); TRUNCATE TABLE Users; INSERT INTO Users (Users_Id, Banned, Role) VALUES ('1', 'No', 'client'); INSERT INTO Users (Users_Id, Banned, Role) VALUES ('2', 'Yes', 'client'); INSERT INTO Users (Users_Id, Banned, Role) VALUES ('3', 'No', 'client'); INSERT INTO Users (Users_Id, Banned, Role) VALUES ('4', 'No', 'client'); INSERT INTO Users (Users_Id, Banned, Role) VALUES ('10', 'No', 'driver'); INSERT INTO Users (Users_Id, Banned, Role) VALUES ('11', 'No', 'driver'); INSERT INTO Users (Users_Id, Banned, Role) VALUES ('12', 'No', 'driver'); INSERT INTO Users (Users_Id, Banned, Role) VALUES ('13', 'No', 'driver');
查询blog
SELECT a.Request_at AS Day, ROUND(a.cnt/b.total,2) AS 'Cancellation Rate' FROM ( SELECT Request_at, COUNT( Id ) AS cnt FROM trips WHERE Client_Id IN ( SELECT Users_Id FROM users WHERE Banned = 'NO' AND Role = 'client' ) AND `Status` = 'cancelled_by_driver' GROUP BY Request_at ) AS a, ( SELECT Request_at, COUNT( Id ) AS total FROM trips WHERE Client_Id IN ( SELECT Users_Id FROM users WHERE Banned = 'NO' AND Role = 'client' ) GROUP BY Request_at ) AS b;
而后我发现我作得不对, 我只考虑了被司机取消得订单。。。尬住。
杨大大的答案:ip
SELECT Request_at AS DAY, ROUND( SUM( CASE WHEN `Status` LIKE 'cancelled%' THEN 1 ELSE 0 END ) / COUNT( * ), 2 ) AS cancelled_rate FROM trips LEFT JOIN ( SELECT Users_Id, Banned FROM users ) client ON trips.Client_Id = client.Users_Id LEFT JOIN ( SELECT Users_Id, Banned FROM users ) driver ON trips.Driver_Id = driver.Users_Id WHERE client.Banned = 'NO' AND driver.Banned = 'NO' GROUP BY Request_at ORDER BY Request_at;
将昨天employee表清空,从新插入如下数据(实际上是多插入5,6两行):it
+----+-------+--------+--------------+ | Id | Name | Salary | DepartmentId | +----+-------+--------+--------------+ | 1 | Joe | 70000 | 1 | | 2 | Henry | 80000 | 2 | | 3 | Sam | 60000 | 2 | | 4 | Max | 90000 | 1 | | 5 | Janet | 69000 | 1 | | 6 | Randy | 85000 | 1 | +----+-------+--------+--------------+
编写一个 SQL 查询,找出每一个部门工资前三高的员工。例如,根据上述给定的表格,查询结果应返回:io
+------------+----------+--------+ | Department | Employee | Salary | +------------+----------+--------+ | IT | Max | 90000 | | IT | Randy | 85000 | | IT | Joe | 70000 | | Sales | Henry | 80000 | | Sales | Sam | 60000 | +------------+----------+--------+
TRUNCATE TABLE employee; INSERT INTO employee VALUES (1,'Joe',70000,1), (2,'Henry',80000,2), (3,'Sam',60000,2), (4,'Max',90000,1), (5,'Janet',69000,1), (6,'Randy',85000,1); SELECT department.`Name` AS Department, a.`Name` AS `Name`, a.Salary AS Salary FROM employee AS a INNER JOIN department ON department.Id = a.DepartmentId WHERE ( SELECT COUNT( DISTINCT Salary ) FROM employee AS b /*辅助表技术*/ WHERE b.DepartmentId = a.DepartmentId AND b.Salary >= a.Salary ) <= 3 ORDER BY DepartmentId, Salary DESC;
+-------+------+ | Score | Rank | +-------+------+ | 4.00 | 1 | | 4.00 | 1 | | 3.85 | 3 | | 3.65 | 4 | | 3.65 | 4 | | 3.50 | 6 | +-------+------+
解答:
最简单的
思路直接就是使用 MySQL 8.x支持的窗口函数class
SELECT id, score, rank ( ) over ( ORDER BY score.score DESC ) AS 'rank' FROM score ORDER BY score DESC;
结果:
cli