Mysql 如何在单个查询中组合多个并集
该查询返回工作日的平均账单,包括站点和时间。 下面的查询使用多个union,我想在单个查询中组合所有union 我怎样才能做到这一点Mysql 如何在单个查询中组合多个并集,mysql,select,union,Mysql,Select,Union,该查询返回工作日的平均账单,包括站点和时间。 下面的查询使用多个union,我想在单个查询中组合所有union 我怎样才能做到这一点 select a.Month, 'Weekday' as Type, 'Lunch' as 'Sale', sum(case when a.siteId = '102' then a.AvgBill else '--' end) as
select
a.Month,
'Weekday' as Type,
'Lunch' as 'Sale',
sum(case
when a.siteId = '102' then a.AvgBill
else '--'
end) as '102',
sum(case
when a.siteId = '103' then a.AvgBill
else '--'
end) as '103',
sum(case
when a.siteId = '104' then a.AvgBill
else '--'
end) as '104',
sum(case
when a.siteId = '105' then a.AvgBill
else '--'
end) as '105',
sum(case
when a.siteId = '106' then a.AvgBill
else '--'
end) as '106'
from
(select
date_format(o.dayStatus, '%M') as Month,
c.companyId as CompanyId,
o.companyId as siteId,
o.bill,
round((sum(o.bill) / count(orderId)), 2) as AvgBill,
date_format(DTTM, '%a') as Day
from
orders o, mdm_sites s, mdm_company c
where
s.siteId = o.companyId
and o.isBilled = 1
and billMode = 0
and s.companyid = c.CompanyId
and time(DTTM) <= '15:00'
and date_format(DTTM, '%a') not in ('Sat' , 'Sun')
and year(o.dayStatus) = (2014)
and case
when 0 in (1) then c.companyId in (c.companyid)
else c.companyId in (1)
end
and case
when 0 in (0) then o.companyId in (o.companyId)
else o.companyId in (0)
end
and case
when 0 in (12) then month(o.dayStatus) in (month(o.dayStatus))
else month(o.dayStatus) in (12)
end
group by c.companyId , o.companyId) as a
group by a.CompanyId
union (select
a.Month,
'Weekday' as Type,
'Evening' as 'Sale',
sum(case
when a.siteId = '102' then a.AvgBill
else '--'
end) as '102',
sum(case
when a.siteId = '103' then a.AvgBill
else '--'
end) as '103',
sum(case
when a.siteId = '104' then a.AvgBill
else '--'
end) as '104',
sum(case
when a.siteId = '105' then a.AvgBill
else '--'
end) as '105',
sum(case
when a.siteId = '106' then a.AvgBill
else '--'
end) as '106'
from
(select
date_format(o.daystatus, '%M') as Month,
c.companyId as CompanyId,
o.companyId as siteId,
o.bill,
round((sum(o.bill) / count(orderId)), 2) as AvgBill,
date_format(DTTM, '%a') as Day
from
orders o, mdm_sites s, mdm_company c
where
s.siteId = o.companyId
and o.isBilled = 1
and billMode = 0
and s.companyid = c.CompanyId
and time(DTTM) > '15:00'
and time(DTTM) < '19:00'
and date_format(DTTM, '%a') not in ('Sat' , 'Sun')
and year(o.dayStatus) = (2014)
and case
when 0 in (1) then c.companyId in (c.companyid)
else c.companyId in (1)
end
and case
when 0 in (0) then o.companyId in (o.companyId)
else o.companyId in (0)
end
and case
when 0 in (12) then month(o.dayStatus) in (month(o.dayStatus))
else month(o.dayStatus) in (12)
end
group by c.companyId , o.companyId) as a
group by a.CompanyId) union (select
a.Month,
'Weekday' as Type,
'Dinner' as 'Sale',
sum(case
when a.siteId = '102' then a.AvgBill
else '--'
end) as '102',
sum(case
when a.siteId = '103' then a.AvgBill
else '--'
end) as '103',
sum(case
when a.siteId = '104' then a.AvgBill
else '--'
end) as '104',
sum(case
when a.siteId = '105' then a.AvgBill
else '--'
end) as '105',
sum(case
when a.siteId = '106' then a.AvgBill
else '--'
end) as '106'
from
(select
date_format(o.dayStatus, '%M') as Month,
c.companyId as CompanyId,
o.companyId as siteId,
o.bill,
round((sum(o.bill) / count(orderId)), 2) as AvgBill,
date_format(DTTM, '%a') as Day
from
orders o, mdm_sites s, mdm_company c
where
s.siteId = o.companyId
and o.isBilled = 1
and billMode = 0
and s.companyid = c.CompanyId
and time(DTTM) >= '19:00'
and date_format(DTTM, '%a') not in ('Fri' , 'Sat', 'Sun')
and year(o.dayStatus) = (2014)
and case
when 0 in (1) then c.companyId in (c.companyid)
else c.companyId in (1)
end
and case
when 0 in (0) then o.companyId in (o.companyId)
else o.companyId in (0)
end
and case
when 0 in (12) then month(o.dayStatus) in (month(o.dayStatus))
else month(o.dayStatus) in (12)
end
group by c.companyId , o.companyId) as a
group by a.CompanyId) union (select
a.Month,
'Weekend' as Type,
'Lunch' as 'Sale',
sum(case
when a.siteId = '102' then a.AvgBill
else '--'
end) as '102',
sum(case
when a.siteId = '103' then a.AvgBill
else '--'
end) as '103',
sum(case
when a.siteId = '104' then a.AvgBill
else '--'
end) as '104',
sum(case
when a.siteId = '105' then a.AvgBill
else '--'
end) as '105',
sum(case
when a.siteId = '106' then a.AvgBill
else '--'
end) as '106'
from
(select
date_format(o.daystatus, '%M') as Month,
c.companyId as CompanyId,
o.companyId as siteId,
o.bill,
round((sum(o.bill) / count(orderId)), 2) as AvgBill,
date_format(DTTM, '%a') as Day
from
orders o, mdm_sites s, mdm_company c
where
s.siteId = o.companyId
and o.isBilled = 1
and billMode = 0
and s.companyid = c.CompanyId
and time(DTTM) <= '15:00'
and date_format(DTTM, '%a') in ('Sat' , 'Sun')
and year(o.dayStatus) = (2014)
and case
when 0 in (1) then c.companyId in (c.companyid)
else c.companyId in (1)
end
and case
when 0 in (0) then o.companyId in (o.companyId)
else o.companyId in (0)
end
and case
when 0 in (12) then month(o.dayStatus) in (month(o.dayStatus))
else month(o.dayStatus) in (12)
end
group by c.companyId , o.companyId) as a
group by a.CompanyId) union (select
a.Month,
'Weekend' as Type,
'Evening' as 'Sale',
sum(case
when a.siteId = '102' then a.AvgBill
else '--'
end) as '102',
sum(case
when a.siteId = '103' then a.AvgBill
else '--'
end) as '103',
sum(case
when a.siteId = '104' then a.AvgBill
else '--'
end) as '104',
sum(case
when a.siteId = '105' then a.AvgBill
else '--'
end) as '105',
sum(case
when a.siteId = '106' then a.AvgBill
else '--'
end) as '106'
from
(select
date_format(o.dayStatus, '%M') as Month,
c.companyId as CompanyId,
o.companyId as siteId,
o.bill,
round((sum(o.bill) / count(orderId)), 2) as AvgBill,
date_format(DTTM, '%a') as Day
from
orders o, mdm_sites s, mdm_company c
where
s.siteId = o.companyId
and o.isBilled = 1
and billMode = 0
and s.companyid = c.CompanyId
and time(DTTM) > '15:00'
and time(DTTM) < '19:00'
and date_format(DTTM, '%a') in ('Sat' , 'Sun')
and year(o.dayStatus) = (2014)
and case
when 0 in (1) then c.companyId in (c.companyid)
else c.companyId in (1)
end
and case
when 0 in (0) then o.companyId in (o.companyId)
else o.companyId in (0)
end
and case
when 0 in (12) then month(o.dayStatus) in (month(o.dayStatus))
else month(o.dayStatus) in (12)
end
group by c.companyId , o.companyId) as a
group by a.CompanyId) union (select
a.Month,
'Weekend' as Type,
'Dinner' as 'Sale',
sum(case
when a.siteId = '102' then a.AvgBill
else '--'
end) as '102',
sum(case
when a.siteId = '103' then a.AvgBill
else '--'
end) as '103',
sum(case
when a.siteId = '104' then a.AvgBill
else '--'
end) as '104',
sum(case
when a.siteId = '105' then a.AvgBill
else '--'
end) as '105',
sum(case
when a.siteId = '106' then a.AvgBill
else '--'
end) as '106'
from
(select
date_format(o.dayStatus, '%M') as Month,
c.companyId as CompanyId,
o.companyId as siteId,
o.bill,
round((sum(o.bill) / count(orderId)), 2) as AvgBill,
date_format(DTTM, '%a') as Day
from
orders o, mdm_sites s, mdm_company c
where
s.siteId = o.companyId
and o.isBilled = 1
and billMode = 0
and s.companyid = c.CompanyId
and time(DTTM) >= '19:00'
and date_format(DTTM, '%a') in ('Fri' , 'Sat', 'Sun')
and year(o.dayStatus) = (2014)
and case
when 0 in (1) then c.companyId in (c.companyid)
else c.companyId in (1)
end
and case
when 0 in (0) then o.companyId in (o.companyId)
else o.companyId in (0)
end
and case
when 0 in (12) then month(o.dayStatus) in (month(o.dayStatus))
else month(o.dayStatus) in (12)
end
group by c.companyId , o.companyId) as a
group by a.CompanyId);
the output of above query
month Type Sale 102 103 104 105 106
------------------------------------------------------------------
December Weekday Lunch 566.63 530.19 644.9 556.9 467.65
December Weekday Evening 433.89 404.69 457.18 547.22 396.6
December Weekday Dinner 427.68 354.54 371.42 386.21 366.03
December Weekend Lunch 410.57 381.36 383.86 365.94 394.14
December Weekend Evening 418.45 305.31 429.12 464.81 301.9
December Weekend Dinner 415.91 374.95 375.28 376.93 360.45
我如何在单个查询中做到这一点,谢谢pivot将是这里的理想解决方案,并保存在执行计划中。你的重点小组将是月、类型、销售。您的计算组为102103104105106 透视也可以在单个查询中完成 枢轴通用指南: 下面是一个与您试图实现的目标非常相似的示例:
您能否发布一个只包含核心问题的简化版查询?否则,我怀疑任何人都不会通过。这个查询需要更多的时间…所以我想用更少的时间执行