作者：敖士伟
一张有group by后可能很多重复行，这时用not in等基于唯一列的分布算法会存在问题。
我的解决办法是：
一张表有一个id int的主键，对其它列进行group by，分页思想是：把max(id)做group by后的唯一列，还是用not in的分布思想。
例：
select top 4 sum(int_TZ2_id) as id,dt_TZ2_date,vchar_TZ2_PingZheng,vchar_TZ2_ZaiYao,vchar_TZ2_DanSN,convert(decimal(18,4),sum(float_TZ2_J_ShuLiang)) as j_sl, convert(decimal(18,4),sum(money_TZ2_J_JingE)) as j_je,convert(decimal(18,4),sum(float_TZ2_D_ShuLiang)) as d_sl, convert(decimal(18,4),sum(money_TZ2_D_JingE)) as d_je from tbTaiZhang2
where 1=1 and 2=2 group by dt_TZ2_date,vchar_TZ2_PingZheng,vchar_TZ2_ZaiYao,vchar_TZ2_DanSN
having (max(int_TZ2_id) NOT IN
(SELECT TOP 4 max(int_TZ2_id) as id
from tbTaiZhang2
WHERE 1=1 and 2=2 group by dt_TZ2_date,vchar_TZ2_PingZheng,vchar_TZ2_ZaiYao,vchar_TZ2_DanSN
ORDER BY dt_TZ2_date,id ASC))
ORDER BY dt_TZ2_date,id ASC
