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优化存储过程 ,帮忙 谢谢

wishY 2008-03-05 03:46:44

select Convert(nvarchar(2),d.CheckTime,101) as [month],
'bendi'=cast(cast(sum(case when p.CityID = 4 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'shanghai'=cast(cast(sum(case when p.CityID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waidi'=cast(cast(sum(case when p.CityID = 6 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'haiwai'=cast(cast(sum(case when p.CityID = 9 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waiguo'=cast(cast(sum(case when p.CountryID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'gangao'=cast(cast(sum(case when p.CityID = 7 or p.CityID = 8 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%'

from Peoples p inner join Country as c on p.CountryID = c.CountryID inner join Deals d on p.PeopleID = d.BuyID
inner join Houses h on h.HouseID=d.HouseID
where h.XiangMu like '%上海%' and d.CheckTime between '2007-1-1' and '2008-1-1' and h.FirstHandID = 1
group by Convert(nvarchar(2),d.CheckTime,101)

union all
select '合计' as [month],
'bendi'=cast(cast(sum(case when p.CityID = 4 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'shanghai'=cast(cast(sum(case when p.CityID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waidi'=cast(cast(sum(case when p.CityID = 6 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'haiwai'=cast(cast(sum(case when p.CityID = 9 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waiguo'=cast(cast(sum(case when p.CountryID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'gangao'=cast(cast(sum(case when p.CityID = 7 or p.CityID = 8 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%'

from Peoples p inner join Country as c on p.CountryID = c.CountryID inner join Deals d on p.PeopleID = d.BuyID inner join Houses h on h.HouseID=d.HouseID
where h.XiangMu like '%上海%' and d.CheckTime between '2007-1-1' and '2008-1-1' and h.FirstHandID = 1
order by [month]

帮忙优化下,谢谢。
...全文
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Andy-W 2008-03-05
这样情况,使用临时表会快的,
如把union all前统计的数据insert into #Tmp,
再对#tmp进行统计,try:



SET NOCOUNT ON
select Convert(nvarchar(2),d.CheckTime,101) as [month],
'bendi'=cast(cast(sum(case when p.CityID = 4 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'shanghai'=cast(cast(sum(case when p.CityID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waidi'=cast(cast(sum(case when p.CityID = 6 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'haiwai'=cast(cast(sum(case when p.CityID = 9 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waiguo'=cast(cast(sum(case when p.CountryID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'gangao'=cast(cast(sum(case when p.CityID = 7 or p.CityID = 8 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%'

INSERT INTO #Tmp
from Peoples p inner join Country as c on p.CountryID = c.CountryID inner join Deals d on p.PeopleID = d.BuyID
inner join Houses h on h.HouseID=d.HouseID
where h.FirstHandID = 1 and d.CheckTime between '2007-1-1' and '2008-1-1' and h.XiangMu like '%上海%'
group by Convert(nvarchar(2),d.CheckTime,101)

SELECT * FROM #Tmp
UNION ALL
SELECT '合计',SUM(bendi),... SUM(gangao) FROM #Tmp

DROP TABLE #Tmp
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ojuju10 2008-03-05

用系统自带的rollup
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ojuju10 2008-03-05


最好写成动态的Sql
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CoffeeShop 2008-03-05
需要做什么事情 说不定有更好的方法
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-狙击手- 2008-03-05
索引与查询的关系 大很了
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wishY 2008-03-05
恩,检查好多遍索引了,我不知道和数据有关系不。现在大约每张表有100多W。
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wishY 2008-03-05
哦,二次查询好象好一点点了。
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-狙击手- 2008-03-05
索引合理 吗?
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wishY 2008-03-05
to : happyflystone
和之前速度差不多,大约需要1分钟。

数据库数据有点多。
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dawugui 2008-03-05
参考如下行列转换:
/*
普通行列转换
(爱新觉罗.毓华 2007-11-18于海南三亚)

假设有张学生成绩表(tb)如下:
Name Subject Result
张三 语文  74
张三 数学  83
张三 物理  93
李四 语文  74
李四 数学  84
李四 物理  94
*/

-------------------------------------------------------------------------
/*
想变成
姓名 语文 数学 物理
---------- ----------- ----------- -----------
李四 74 84 94
张三 74 83 93
*/

create table tb
(
Name varchar(10) ,
Subject varchar(10) ,
Result int
)

insert into tb(Name , Subject , Result) values('张三' , '语文' , 74)
insert into tb(Name , Subject , Result) values('张三' , '数学' , 83)
insert into tb(Name , Subject , Result) values('张三' , '物理' , 93)
insert into tb(Name , Subject , Result) values('李四' , '语文' , 74)
insert into tb(Name , Subject , Result) values('李四' , '数学' , 84)
insert into tb(Name , Subject , Result) values('李四' , '物理' , 94)
go

--静态SQL,指subject只有语文、数学、物理这三门课程。
select name 姓名,
max(case subject when '语文' then result else 0 end) 语文,
max(case subject when '数学' then result else 0 end) 数学,
max(case subject when '物理' then result else 0 end) 物理
from tb
group by name
/*
姓名 语文 数学 物理
---------- ----------- ----------- -----------
李四 74 84 94
张三 74 83 93
*/

--动态SQL,指subject不止语文、数学、物理这三门课程。
declare @sql varchar(8000)
set @sql = 'select Name as ' + '姓名'
select @sql = @sql + ' , max(case Subject when ''' + Subject + ''' then Result else 0 end) [' + Subject + ']'
from (select distinct Subject from tb) as a
set @sql = @sql + ' from tb group by name'
exec(@sql)
/*
姓名 数学 物理 语文
---------- ----------- ----------- -----------
李四 84 94 74
张三 83 93 74
*/

-------------------------------------------------------------------
/*加个平均分,总分
姓名 语文 数学 物理 平均分 总分
---------- ----------- ----------- ----------- -------------------- -----------
李四 74 84 94 84.00 252
张三 74 83 93 83.33 250
*/

--静态SQL,指subject只有语文、数学、物理这三门课程。
select name 姓名,
max(case subject when '语文' then result else 0 end) 语文,
max(case subject when '数学' then result else 0 end) 数学,
max(case subject when '物理' then result else 0 end) 物理,
cast(avg(result*1.0) as decimal(18,2)) 平均分,
sum(result) 总分
from tb
group by name
/*
姓名 语文 数学 物理 平均分 总分
---------- ----------- ----------- ----------- -------------------- -----------
李四 74 84 94 84.00 252
张三 74 83 93 83.33 250
*/

--动态SQL,指subject不止语文、数学、物理这三门课程。
declare @sql1 varchar(8000)
set @sql1 = 'select Name as ' + '姓名'
select @sql1 = @sql1 + ' , max(case Subject when ''' + Subject + ''' then Result else 0 end) [' + Subject + ']'
from (select distinct Subject from tb) as a
set @sql1 = @sql1 + ' , cast(avg(result*1.0) as decimal(18,2)) 平均分,sum(result) 总分 from tb group by name'
exec(@sql1)
/*
姓名 数学 物理 语文 平均分 总分
---------- ----------- ----------- ----------- -------------------- -----------
李四 84 94 74 84.00 252
张三 83 93 74 83.33 250
*/

drop table tb

---------------------------------------------------------
---------------------------------------------------------
/*
如果上述两表互相换一下:即

姓名 语文 数学 物理
张三 74  83  93
李四 74  84  94

想变成
Name Subject Result
---------- ------- -----------
李四 语文 74
李四 数学 84
李四 物理 94
张三 语文 74
张三 数学 83
张三 物理 93
*/

create table tb1
(
姓名 varchar(10) ,
语文 int ,
数学 int ,
物理 int
)

insert into tb1(姓名 , 语文 , 数学 , 物理) values('张三',74,83,93)
insert into tb1(姓名 , 语文 , 数学 , 物理) values('李四',74,84,94)

select * from
(
select 姓名 as Name , Subject = '语文' , Result = 语文 from tb1
union all
select 姓名 as Name , Subject = '数学' , Result = 数学 from tb1
union all
select 姓名 as Name , Subject = '物理' , Result = 物理 from tb1
) t
order by name , case Subject when '语文' then 1 when '数学' then 2 when '物理' then 3 when '总分' then 4 end

--------------------------------------------------------------------
/*加个平均分,总分
Name Subject Result
---------- ------- --------------------
李四 语文 74.00
李四 数学 84.00
李四 物理 94.00
李四 平均分 84.00
李四 总分 252.00
张三 语文 74.00
张三 数学 83.00
张三 物理 93.00
张三 平均分 83.33
张三 总分 250.00
*/

select * from
(
select 姓名 as Name , Subject = '语文' , Result = 语文 from tb1
union all
select 姓名 as Name , Subject = '数学' , Result = 数学 from tb1
union all
select 姓名 as Name , Subject = '物理' , Result = 物理 from tb1
union all
select 姓名 as Name , Subject = '平均分' , Result = cast((语文 + 数学 + 物理)*1.0/3 as decimal(18,2)) from tb1
union all
select 姓名 as Name , Subject = '总分' , Result = 语文 + 数学 + 物理 from tb1
) t
order by name , case Subject when '语文' then 1 when '数学' then 2 when '物理' then 3 when '平均分' then 4 when '总分' then 5 end

drop table tb1
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-狙击手- 2008-03-05
select isnull(Convert(nvarchar(2),d.CheckTime,101),'合计') as [month],
'bendi'=cast(cast(sum(case when p.CityID = 4 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'shanghai'=cast(cast(sum(case when p.CityID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waidi'=cast(cast(sum(case when p.CityID = 6 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'haiwai'=cast(cast(sum(case when p.CityID = 9 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waiguo'=cast(cast(sum(case when p.CountryID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'gangao'=cast(cast(sum(case when p.CityID = 7 or p.CityID = 8 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%'

from Peoples p inner join Country as c on p.CountryID = c.CountryID inner join Deals d on p.PeopleID = d.BuyID
inner join Houses h on h.HouseID=d.HouseID
where h.XiangMu like '%上海%' and d.CheckTime between '2007-1-1' and '2008-1-1' and h.FirstHandID = 1
group by Convert(nvarchar(2),d.CheckTime,101)
with rollup
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-狙击手- 2008-03-05
select Convert(nvarchar(2),d.CheckTime,101) as [month],
'bendi'=cast(cast(sum(case when p.CityID = 4 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'shanghai'=cast(cast(sum(case when p.CityID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waidi'=cast(cast(sum(case when p.CityID = 6 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'haiwai'=cast(cast(sum(case when p.CityID = 9 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'waiguo'=cast(cast(sum(case when p.CountryID = 5 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%',
'gangao'=cast(cast(sum(case when p.CityID = 7 or p.CityID = 8 then 1 else 0 end)*100.0/count(p.PeopleID) as int) as varchar)+'%'

from Peoples p inner join Country as c on p.CountryID = c.CountryID inner join Deals d on p.PeopleID = d.BuyID
inner join Houses h on h.HouseID=d.HouseID
where h.XiangMu like '%上海%' and d.CheckTime between '2007-1-1' and '2008-1-1' and h.FirstHandID = 1
group by Convert(nvarchar(2),d.CheckTime,101)
with rollup
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lhsxsh 2008-03-05
s
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dawugui 2008-03-05
静态的行列转换,估计不好优化.
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-狙击手- 2008-03-05
似乎可以用with rollup


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nzperfect 2008-03-05
很复杂但有50分
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dawugui 2008-03-05
很长很复杂.
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