Trips
表中存所有出租車的行程信息。每段行程有唯一健 Id,Client_Id 和 Driver_Id 是 Users
表中 Users_Id 的外鍵。Status 是枚舉類型,枚舉成員爲 (‘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
表存所有用戶。每個用戶有唯一鍵 Users_Id。Banned 表示這個用戶是否被禁止,Role 則是一個表示(‘client’, ‘driver’, ‘partner’)的枚舉類型。
+----------+--------+--------+
| 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 |
+----------+--------+--------+
寫一段 SQL 語句查出 2013年10月1日 至 2013年10月3日 期間非禁止用戶的取消率。基於上表,你的 SQL 語句應返回如下結果,取消率(Cancellation Rate)保留兩位小數。
+------------+-------------------+
| Day | Cancellation Rate |
+------------+-------------------+
| 2013-10-01 | 0.33 |
| 2013-10-02 | 0.00 |
| 2013-10-03 | 0.50 |
+------------+-------------------+
解析:
SELECT Request_at Day,
ROUND(COUNT(IF(Status != 'completed', TRUE, NULL)) / COUNT(*), 2) 'Cancellation Rate'
FROM Trips
WHERE (Request_at between '2013-10-01' and '2013-10-03') and Client_Id IN (SELECT Users_Id FROM Users WHERE Banned = 'No')
GROUP BY Request_at;
- 用case when語句把取消訂單數量算出來。
- users表中banned列值是‘Yes’的用戶id在trips表中司機id列和用戶id列中刨掉。
- 注意時間列的類型轉換。
- 注意得出來的比率要用round函數取小數點後兩位
select t.Request_at Day,
round(sum(case when t.Status like 'cancelled_%' then 1 else 0 end)/count(*),2) as "Cancellation Rate"
from Trips t
inner join Users u
on t.Client_Id = u.Users_Id and u.Banned='No'
where t.Request_at between '2013-10-01' and '2013-10-03'
group by t.Request_at