本文介绍了PostgreSQL等同于SQL Server GROUP BY WITH ROLLUP的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一个Sql Server查询在分组时使用 ROLLUP
子句。我想在Postgres中有一个等效的查询。在SQl服务器中查询是:
I have an Sql Server Query that is using the ROLLUP
clause while grouping. I want an equivalent query in Postgres. Query in SQl Server is:
SELECT (CASE WHEN acnt_dba_name Is Null THEN 'Total' ELSE acnt_dba_name END) as account,
(CASE WHEN evt_name Is Null THEN '' ELSE evt_name END) as event,
COUNT(CASE reg_is_complete WHEN true THEN 1 ELSE Null END) as regsComplete,
COUNT(CASE WHEN reg_frn_pro_id > 0 AND reg_is_complete = false THEN 1 ELSE Null END) as regsInComplete,
COUNT(CASE WHEN reg_frn_pro_id > 0 THEN Null ELSE 1 END) as regsClicks
FROM registrations_view
LEFT JOIN events ON (evt_id = reg_frn_evt_id)
LEFT JOIN accounts ON (acnt_id = evt_frn_acnt_id)
WHERE reg_date_created < #CreateODBCDate(url.endDate)#
AND reg_date_created > #CreateODBCDate(url.startDate)#
AND reg_is_active = true -- only active regs
AND reg_is_test = false -- only live registrations
-- AND reg_is_denied = false -- exclude denied reg statuses (include these for now RWB 8/7/2)
GROUP BY rollup(acnt_dba_name, evt_name)
-- Sort with Nulls at the bottom
ORDER BY acnt_dba_name, evt_name
推荐答案
with detail as (
select
acnt_dba_name as account,
evt_name as event,
count(case reg_is_complete when true then 1 else null end) as regscomplete,
count(case when reg_frn_pro_id > 0 and reg_is_complete = false then 1 else null end) as regsincomplete,
count(case when reg_frn_pro_id > 0 then null else 1 end) as regsclicks
from
registrations_view
left join
events on evt_id = reg_frn_evt_id
left join
accounts on acnt_id = evt_frn_acnt_id
where
reg_date_created < #CreateODBCDate(url.endDate)#
AND reg_date_created > #CreateODBCDate(url.startDate)#
and reg_is_active = true -- only active regs
and reg_is_test = false -- only live registrations
group by acnt_dba_name, evt_name
), account as (
select
account,
'' as event,
sum(regscomplete) as regscomplete,
sum(regsimcomplete) as regsincomplete,
sum(regsclicks) as regsclicks
from detail
group by account
), total as (
select
'Total' as account,
'' as event,
sum(regsComplete) as regsComplete,
sum(regsImComplete) as regsInComplete,
sum(regsClicks) as regsClicks
from account
)
select * from detail
union
select * from account
union
select * from total
order by account, event
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