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。
取消率的计算方式如下：(被司机或乘客取消的非禁止用户生成的订单数量) / (非禁止用户生成的订单总数)
+------------+-------------------+ | Day | Cancellation Rate | +------------+-------------------+ | 2013-10-01 | 0.33 | | 2013-10-02 | 0.00 | | 2013-10-03 | 0.50 | +------------+-------------------+
分析：主表 - Trips 表，
被司机或乘客取消的非禁止用户生成的订单数量：'cancelled_by_client' or 'cancelled_by_driver' 或 like 'cancelled_%'
非禁止用户生成的订单总数：需要保证trip表司机与乘客非ban！需要两个User表实例关联对应字段~
ps：注意sum与count函数的区别 ！
sum()，求和累加，不计算空值；
count()，求行数，空值认为没有此项；
# count(IF(a.Status = 'cancelled_by_client' or a.Status = 'cancelled_by_driver' ,1, NULL)) # count(IF(a.Status like 'cancelled_%' ,1, NULL)) # sum(IF(a.Status like 'cancelled_%' ,1, 0) # count(case when a.Status like 'cancelled_%' then 1 else NULL end) # sum(a.Status != 'completed') select Request_at as Day,round(sum(IF(a.Status like 'cancelled_%' ,1, 0))/count(*),2) as `Cancellation Rate` from Trips a left join Users b on b.Users_Id = a.Client_Id left join Users c on c.Users_Id = a.Driver_Id where b.Banned = 'No' and c.Banned = 'No' and a.Request_at between '2013-10-01' and '2013-10-03' group by a.Request_at
