mysql UNION all 实现不对称数据统计

当统计多条的三个参数在不同时间段的数据的sum，又只能写在同一个sql上时，可以考虑union all三次查询，

select * from 
(
select kk.a_time as dates,kk.flag

,sum(kk.`参数一`) 参数一之和
,sum(kk.`参数二`) 参数二之和
,sum(kk.`参数三`) 参数三之和
 from 
(select 
k.a_time
,k.flag
,sum(case when  p_time=0 or p_time= a_time  then 1 else 0 end) as '参数一'
,'' as '参数二'
,'' as '参数三'
from 
(
select 
a.pay_id
,o_days
,FROM_UNIXTIME(a_time/1000,'%Y-%m-%d')a_time
,case when p_time<>0 then  FROM_UNIXTIME(p_time/1000,'%Y-%m-%d') else 0 end as p_time
,case when mod(a.pay_id,2)=0 and l.pay_id is not null then '系统一'  else '系统二' end as flag
 from pay a 
 LEFT JOIN
 log l on a.pay_id = l.pay_id and l.`status` = 1 and type = 'baseinfo'
where a_time>= UNIX_TIMESTAMP('2018-07-23')*1000 and a_time< UNIX_TIMESTAMP(DATE_ADD(CURDATE(),INTERVAL 1 DAY))*1000 +24*3600*1000
)k
GROUP BY 1,2

UNION all



select 
DATE_SUB(k.a_time,INTERVAL 1 day) a_time
,k.flag
,'' as '参数一'
,'' as '参数二'
,sum(case when  p_time=0 or p_time = DATE_SUB(a_time,INTERVAL 1 DAY) or p_time= a_time then 1 else 0 end) as '参数三'

from 
(
select 
a.pay_id
,o_days
,FROM_UNIXTIME(a_time/1000,'%Y-%m-%d')a_time
,case when p_time<>0 then  FROM_UNIXTIME(p_time/1000,'%Y-%m-%d') else 0 end as p_time
,case when mod(a.pay_id,2)=0 and l.pay_id is not null then '系统一'  else '系统二' end as flag
 from pay a 
 LEFT JOIN
 log l on a.pay_id = l.pay_id and l.`status` = 1 and type = 'baseinfo'
where a_time>= UNIX_TIMESTAMP('2018-07-24')*1000 and a_time< UNIX_TIMESTAMP(DATE_ADD(CURDATE(),INTERVAL 1 DAY))*1000 +24*3600*1000
)k
GROUP BY 1,2

union all

select 
DATE_SUB(k.a_time,INTERVAL 1 day) a_time
,k.flag
,'' as '参数一'
,sum(case when   o_days>0   then 1 else 0 end) as '参数二'
,'' as '参数三'
from 
(
select 
a.pay_id
,o_days
,FROM_UNIXTIME(a_time/1000,'%Y-%m-%d')a_time
,case when p_time<>0 then  FROM_UNIXTIME(p_time/1000,'%Y-%m-%d') else 0 end as p_time
,case when mod(a.pay_id,2)=0 and l.pay_id is not null then '系统一'  else '系统二' end as flag
 from pay a 
 LEFT JOIN
 log l on a.pay_id = l.pay_id and l.`status` = 1 and type = 'baseinfo'
where a_time>= UNIX_TIMESTAMP('2018-07-24')*1000 and a_time< UNIX_TIMESTAMP(DATE_ADD(CURDATE(),INTERVAL 1 DAY))*1000 +24*3600*1000
)k
GROUP BY 1,2

)kk
GROUP BY 1,2) kk
 -- where dates>={DATE1} and dates<={DATE2} 

　　

该语句用了三次统计分别统计 参数一，参数二，参数三 的对应记录的dates，再做合并，有点好性能，只为满足需求的无奈之举！