我尝试同时分组,计数和分类。 我的桌子看起来像
Email_ID Email_Address Date
-------- --------------- --------
1000 a@xxx.com 2018-12-01
1001 b@xxx.com 2018-12-01
1002 c@xxx.com 2018-12-02
1003 d@xxx.com 2018-12-02
1003 d@xxx.com 2018-12-03
1001 b@xxx.com 2018-12-04
1000 a@xxx.com 2018-12-05
1004 d@xxx.com 2018-12-05
I categorize my Products by email:
a@xxx.com和b@xxx.com->图书 c@xxx.com和d@xxx.com->玩具
I need to find total number of emails for books and for toys without having duplicate IDs
Here is my code:
```` Select
(Select MIN(id) From ticket ti
Where ti.ID = t.ID) As Customer_ID,
Case
When Email in (a@xxx.com and b@xxx.com) Then 'Book'
When Email in (c@xxx.com and d@xxx.com) Then 'Toys'
End As Product
From ticket t
Where
Date > '2018-12-01' And Date < '2018-12-31'
````
How can I do the count here?
答案 0 :(得分:4)
只需将简单的count
语句与distinct
一起使用
select count(distinct Email_ID) from table1
select ticketId, count(distinct ticket.Email)
from Ticket
group by TicketId
这将为您提供每个TicketId的不同电子邮件数量
答案 1 :(得分:2)
这是您想要的吗?
session.enable.phishing.protection = true
session.phishing.protected.attributes = CAS_LOGIN, HTTPS_INITIAL, LAST_PATH, OPEN_ID_CONNECT_SESSION