----＠呵呵：比的就是速度，看不懂的都是经典＠----
-------最近小弟写了几个存储过程，望各位有兴趣可测试一下（最好插入大量数据，测试一下速度)------
-------有错之处，还望各位高手加以指正！ 小弟在此深表感谢！
-------说实话：我都看不懂牛人写的嵌套子查询函数，牛人就是牛人嘛，小弟会努力的..........-------
-------在动手的同时：向牛人学习！向速度学习！向小F、小梁、Tony、Josy等牛人学习
-------最近确实跟他们学到了不少知识，在此再谢谢！
-------但有一点：大部分人认为游标比SQL语句要慢，那就快快动手吧........，实践是检验真理的唯一标准！------
-------原帖网址：
http://topic.csdn.net/u/20091009/09/1f801515-d0c7-4cef-901c-943cfb332baf.html
------------------------------------------------------------ 进出仓结存----修正版(函数版) ------------ ----------Author：Luoyoumou-----------------------------------------------------------------------------------alter function inout_func(@fromdate datetime, @todate datetime)/*select * from dbo.inout_func( '2009-08-01','2009-08-31' )select * from dbo.inout_func( '2009-08-01','2009-09-30' )*/returns @t table([billid] int,[bd] varchar(10),[bc] varchar(10),[storeid] varchar(4),[goodsid] varchar(5),[qty] int)asbeginDECLARE @t2 table (id int identity(1,1), --自增标识位billid varchar(4),bd varchar(10),bc varchar(10),storeid varchar(4),goodsid varchar(5), qty int,sum_out int --指定时间段的出库总数量);insert into @t2(billid, bd, bc, storeid, goodsid, qty, sum_out)select i.billid, i.bd, i.bc, i.storeid, i.goodsid, i.qty, isnull(o.sum_out,0) sum_out from instored i left join ( select storeid, goodsid, sum(qty) as sum_out from outstored where bd >=@fromdate and bd<=@todate group by storeid, goodsid ) o on i.storeid=o.storeid and i.goodsid=o.goodsid where i.bd >=@fromdate and i.bd<=@todateorder by i.storeid, i.goodsid, i.bd;--特定仓库，特定货品无出库记录的指定时间段内的入库记录直接插入insert into @t(billid, bd, bc, storeid, goodsid, qty)select billid, bd, bc, storeid, goodsid, qtyfrom @t2 where sum_out=0;-----------定义变量-------------------------declare @billid varchar(4)declare @bd varchar(10)declare @bc varchar(10)declare @storeid varchar(4), @storeid2 varchar(4) declare @goodsid varchar(5), @goodsid2 varchar(4)declare @qty int, @in_sumQty int, @sum_out intdeclare @flag intset @storeid2=''set @goodsid2=''--游标检索DECLARE @MyData CURSOR SET @MyData = CURSOR FOR SELECT billid, bd, bc, storeid, goodsid, qty, sum_out from @t2 where sum_out<>0 order by IdOPEN @MyDataFETCH NEXT FROM @MyData INTO @billid, @bd, @bc, @storeid, @goodsid, @qty, @sum_outWHILE @@FETCH_STATUS = 0 BEGIN IF(@storeid2<>@storeid or @goodsid2<>@goodsid) --如果仓库编码或物料编码发生变化(没有细分是哪种情况了) BEGIN SET @storeid2=@storeid --重新初始化仓库编码变量 SET @goodsid2=@goodsid --重新初始化物料编码变量 SET @in_sumQty=0; --重新初始化进库存总数变量 SET @flag=0; --重新初始化标志位 END SET @in_sumQty=@in_sumQty+@qty; IF(@in_sumQty>@sum_out) BEGIN IF(@flag=0) BEGIN ----表示第一次查找到符合条件的将要拆分的记录行 INSERT INTO @t(billid, bd, bc, storeid, goodsid, qty) VALUES(@billid, @bd, @bc, @storeid, @goodsid, @in_sumQty-@sum_out); SET @flag=1; END ELSE -----表示第二次或以上查找到符合条件的记录行(整条记录行都当作剩余的库存) BEGIN INSERT INTO @t(billid, bd, bc, storeid, goodsid, qty) VALUES(@billid, @bd, @bc, @storeid, @goodsid, @qty); END END FETCH NEXT FROM @MyData INTO @billid, @bd, @bc, @storeid, @goodsid, @qty, @sum_outEND CLOSE @MyData DEALLOCATE @MyData returnend
-->创建表值函数
create function f_fifo(@start varchar(10),@end varchar(10))
returns
@t table([billid] int,[bd] varchar(10),[bc] varchar(9),[storeid] varchar(3),[goodsid] varchar(4),[qty] int)
as
begin
insert @t
select
billid,convert(varchar(10),bd,120),bc,storeid,goodsid,
case when iqty>qty then qty else iqty end as qty
from(
select
a.billid,a.bd,a.bc,a.storeid,a.goodsid,a.qty as iqty,
(select sum(qty)
from (select
*,
px=(select count(1)
from instored
where storeid=i.storeid and goodsid=i.goodsid and (bd <i.bd or bd=i.bd and billid <i.billid) and convert(varchar(10),bd,120) between @start and @end)
from instored i where convert(varchar(10),bd,120) between @start and @end)t
where storeid=a.storeid and goodsid=a.goodsid and px <=a.px
)-isnull(b.qty,0) as qty
from
(select
*,
px=(select count(1)
from instored
where storeid=i.storeid and goodsid=i.goodsid and (bd <i.bd or bd=i.bd and billid <i.billid) and convert(varchar(10),bd,120) between @start and @end)
from instored i where convert(varchar(10),bd,120) between @start and @end) a
left join
(select storeid,goodsid,sum(qty) as qty from [outstored] where convert(varchar(10),bd,120) between @start and @end group by storeid,goodsid) b
on
a.storeid=b.storeid and a.goodsid=b.goodsid
) tt
where qty>0
order by
storeid,goodsid
return
end
go
-->查询1
SELECT * FROM dbo.f_fifo('2009-08-01','2009-08-31')
/**
billid bd bc storeid goodsid qty
----------- ---------- --------- ------- ------- -----------
9 2009-08-20 090820002 a仓 g001 200
3 2009-08-23 090823001 b仓 g001 600
5 2009-08-23 090823003 b仓 k002 1900
(3 行受影响)
**/
-->查询2
SELECT * FROM dbo.f_fifo('2009-08-01','2009-09-30')
/**
billid bd bc storeid goodsid qty
----------- ---------- --------- ------- ------- -----------
6 2009-09-26 090926001 a仓 g001 200
3 2009-08-23 090823001 b仓 g001 600
5 2009-08-23 090823003 b仓 k002 900
7 2009-09-27 090927001 b仓 k002 400
------验证数据代码：/*select sum(qty) from (SELECT * FROM dbo.f_fifo('2009-09-01','2009-09-30')) tselect (select sum(qty) from Instored where bd<'2009-08-01')-(select sum(qty) from Outstored where bd<'2009-08-01')exec inout_proc '2009-08-01','2009-08-31'exec inout_proc '2009-08-01','2009-09-30'select top 1 * from instored;select (select sum(qty) from Instored where bd>='2009-08-01' and bd<='2009-09-30')-(select sum(qty) from Outstored where bd>='2009-08-01' and bd<='2009-09-30')*//*select sum(qty) from (select * from dbo.inout_func( '2009-08-01','2009-09-30' )) tselect * from dbo.inout_func( '2009-08-01','2009-09-30' )*/
[解决办法]
学习
[解决办法]
jf
[解决办法]
study!Q
[解决办法]
学习
[解决办法]
学习
[解决办法]
楼主好强！！
[解决办法]
看了一下，还可以，第一种用游标的方式，数据量大了，效率要高点，第二种嵌套太多了，只适合查询小数据量的数据，第一种业务要清楚点
[解决办法]
没看懂~
[解决办法]
正好要用到，先顶帖再学习``
[解决办法]
顶
[解决办法]
顶
[解决办法]
游标本来就慢，占CPU占IO，如果一个查询只能用游标完成只能说明表设计不合理
[解决办法]
牛B
[解决办法]
学习
[解决办法]
.
[解决办法]
.
[解决办法]
.