DW training camp Mysql database comb [six]

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1 stroke and users (Difficulty: difficult)

项目十:行程和用户(难度:困难)
Trips 表中存所有出租车的行程信息。每段行程有唯一键 Id,Client_Id 和 Driver_Id 是 Users 表中 Users_Id 的外键。Status 是枚举类型,枚举成员为 (‘completed’, ‘cancelled_by_driver’, ‘cancelled_by_client’)。
+----+-----------+-----------+---------+--------------------+----------+
| 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 表存所有用户。每个用户有唯一键 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。
+----------+--------+--------+
| 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 语句应返回如下结果,取消率(Cancellation Rate)保留两位小数。
+------------+-------------------+
|     Day    | Cancellation Rate |
+------------+-------------------+
| 2013-10-01 |       0.33        |
| 2013-10-02 |       0.00        |
| 2013-10-03 |       0.50        |
+------------+-------------------+

2 3 ministries front of the high-wage employees (Difficulty: Medium)

将昨天employee表清空,重新插入以下数据(其实是多插入5,6两行):
+----+-------+--------+--------------+
| 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:
+------------+----------+--------+
| Department | Employee | Salary |
+------------+----------+--------+
| IT         | Max      | 90000  |
| IT         | Randy    | 85000  |
| IT         | Joe      | 70000  |
| Sales      | Henry    | 80000  |
| Sales      | Sam      | 60000  |
+------------+----------+--------+

此外,请考虑实现各部门前N高工资的员工功能。

A thought:
Because only two departments, we can trickery separately for each department ranked in descending order according to salary, taking the first three rows, and then UNION.
Note that, ORDER BY and LIMIT in itself does not support the use of sub-queries. So we need to add parentheses to form sub queries several independent table instead of a UNION.

3 ranking scores (Difficulty: Medium)

依然是昨天的分数表,实现排名功能,但是排名是非连续的,如下:
+-------+------+
| Score | Rank |
+-------+------+
| 4.00  | 1    |
| 4.00  | 1    |
| 3.85  | 3    |
| 3.65  | 4    |
| 3.65  | 4    |
| 3.50  | 6    |
+-------+------+

Thinking before the next thinking, training five
previous example is to write a SQL query to achieve the score rankings. If the two scores are identical, the two scores rank (Rank) the same as before to achieve:

SELECT Score,
			(SELECT COUNT(DISTINCT Score)
				FROM score AS s2 
				WHERE s2.Score>=s1.Score
			) 
FROM score AS s1
ORDER BY Score DESC; 

For expressed ranking, then count is the score after the exclusion of duplicate numbers, so when change, we first of all not be combined with DISTINCT, so if there are two, then 4, to obtain the default value of both is 2, so the filter criteria we can not allow> =, to turn it into> becomes>, the default value of two will become 0, then just re-applied on the basis of a can, as follows:

SELECT Score,
			(SELECT COUNT(Score)
				FROM score AS s2 
				WHERE s2.Score > s1.Score
			)+1  AS list
FROM score AS s1
ORDER BY Score DESC; 

Effect:
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