使用Teradata,我有一个数据,在一个列中有6个选项,我想要的是在一个单独的列中的六个选项中的每一个都有它有多少条目的计数,此刻我有6个单独的select
个名称和一个在底部选中的一个加在一起,无论如何都要在一个声明中得到它
输出如下:
AgentName|emp_number|Manager_Empl_No| Hardware/Fault| Customer Experience| Prefer another Provider| Coverage/Serviceability| Costs Service| No Longer Required |Customer Usage
name 1| xxxx| xxxx |15| 27| 10| 3| 7| 22| 6
Name 2| xxxx| xxxx |19 |6 |29 |22 |10 |42 |4
我的代码是......
--- Hardware fault ---
create volatile table hardware as
(
select
CSR_FirstName||' '||CSR_LastName as AgentName
,emp_number
,Manager_empl_no
,count(service) as "Hardware/Fault"
from ipshare.ORR_retention_database a
full join RMOIDS
on emp_number = Employee_No
where date_created between (sel start_date from startend_date) and (sel end_date from startend_date)
and referred_product = 'Mobile'
and decline_reason1 = 'Hardware/Fault'
group by (AgentName,emp_number,Manager_empl_no,decline_reason1)
qualify RANK() over (partition by AgentName order by AgentName DESC)=1
)
with data on commit preserve rows;
sel * from hardware
--- Customer Experience ---
create volatile table custex as
(
select
CSR_FirstName||' '||CSR_LastName as AgentName
,emp_number
,Manager_empl_no
,count(service) as "Customer Experience"
from ipshare.ORR_retention_database a
full join RMOIDS
on emp_number = Employee_No
where date_created between (sel start_date from startend_date) and (sel end_date from startend_date)
and referred_product = 'Mobile'
and decline_reason1 = 'Customer Experience'
group by (AgentName,emp_number,Manager_empl_no,decline_reason1)
qualify RANK() over (partition by AgentName order by AgentName DESC)=1
)
with data on commit preserve rows;
---Prefer another Provider
create volatile table pap as
(
select
CSR_FirstName||' '||CSR_LastName as AgentName
,emp_number
,Manager_empl_no
,count(service) as "Prefer another Provider"
from ipshare.ORR_retention_database a
full join RMOIDS
on emp_number = Employee_No
where date_created between (sel start_date from startend_date) and (sel end_date from startend_date)
and referred_product = 'Mobile'
and decline_reason1 = 'Prefer another Provider'
group by (AgentName,emp_number,Manager_empl_no,decline_reason1)
qualify RANK() over (partition by AgentName order by AgentName DESC)=1
)
with data on commit preserve rows;
----Coverage/Serviceability
create volatile table coverage as
(
select
CSR_FirstName||' '||CSR_LastName as AgentName
,emp_number
,Manager_empl_no
,count(service) as "Coverage/Serviceability"
from ipshare.ORR_retention_database a
full join RMOIDS
on emp_number = Employee_No
where date_created between (sel start_date from startend_date) and (sel end_date from startend_date)
and referred_product = 'Mobile'
and decline_reason1 = 'Coverage/Serviceability'
group by (AgentName,emp_number,Manager_empl_no,decline_reason1)
qualify RANK() over (partition by AgentName order by AgentName DESC)=1
)
with data on commit preserve rows;
---Cost
create volatile table cost as
(
select
CSR_FirstName||' '||CSR_LastName as AgentName
,emp_number
,Manager_empl_no
,count(service) as "Costs"
from ipshare.ORR_retention_database a
full join RMOIDS
on emp_number = Employee_No
where date_created between (sel start_date from startend_date) and (sel end_date from startend_date)
and referred_product = 'Mobile'
and decline_reason1 = 'Costs'
group by (AgentName,emp_number,Manager_empl_no,decline_reason1)
qualify RANK() over (partition by AgentName order by AgentName DESC)=1
)
with data on commit preserve rows;
--Service no longer required
create volatile table snlr as
(
select
CSR_FirstName||' '||CSR_LastName as AgentName
,emp_number
,Manager_empl_no
,count(service) as "Service No Longer Required"
from ipshare.ORR_retention_database a
full join RMOIDS
on emp_number = Employee_No
where date_created between (sel start_date from startend_date) and (sel end_date from startend_date)
and referred_product = 'Mobile'
and decline_reason1 = 'Service No Longer Required'
group by (AgentName,emp_number,Manager_empl_no,decline_reason1)
qualify RANK() over (partition by AgentName order by AgentName DESC)=1
)
with data on commit preserve rows;
--Customer Usage
create volatile table usage as
(
select
CSR_FirstName||' '||CSR_LastName as AgentName
,emp_number
,Manager_empl_no
,count(service) as "Customer Usage"
from ipshare.ORR_retention_database a
full join RMOIDS
on emp_number = Employee_No
where date_created between (sel start_date from startend_date) and (sel end_date from startend_date)
and referred_product = 'Mobile'
and decline_reason1 = 'Customer Usage'
group by (AgentName,emp_number,Manager_empl_no,decline_reason1)
qualify RANK() over (partition by AgentName order by AgentName DESC)=1
)
with data on commit preserve rows;
sel a.*
,b."Customer Experience"
,c."Prefer another Provider"
,d."Coverage/Serviceability"
,e."Costs"
,f."Service No Longer Required"
,g."Customer Usage"
from hardware a
inner join custex b
on a.emp_number = b.emp_number
inner join pap c
on a.emp_number = c.emp_number
inner join coverage d
on a.emp_number = d.emp_number
inner join cost e
on a.emp_number = e.emp_number
inner join snlr f
on a.emp_number = f.emp_number
inner join usage g
on a.emp_number = g.emp_number
答案 0 :(得分:0)
我还没有验证你想要完成的SQL的其余部分,但我相信你可以通过在聚合函数中使用CASE语句来消除多个volatile表并传递源表。
SELECT CSR_FirstName||' '||CSR_LastName as AgentName
, emp_number
, Manager_empl_no
, COUNT(CASE WHEN Decline_Reason1 = 'Customer Experience'
THEN Service
ELSE NULL
END) AS CustomerExperinceCount_
, COUNT(CASE WHEN Decline_Reason1 = /* {Next Reason} */
THEN Service
ELSE NULL
END) AS NextReasonCount_
FROM ipshare.ORR_retention_database a
FULL JOIN
RMOIDS
ON emp_number = Employee_No
WHERE date_created between (sel start_date from startend_date)
and (sel end_date from startend_date)
AND referred_product = 'Mobile'
GROUP BY (AgentName,emp_number,Manager_empl_no,decline_reason1)
QUALIFY RANK() over (partition by AgentName order by AgentName DESC)=1