昨天公司里有个很久以前的做个网站,由于当时设计时没有充分的时间,就只是实现了当时功能而已。

近期由于网站使用的数据库的数据库数据量超过300W条,导致了现在使用网站提供的查询功能执行数度相当慢,查询一次需要接近需要2分钟的时间,这在用户使用时是无法接受的。所以不能经理要求我对这次查询进行优化。

我仔细的看了看以前写的程序,发现当时在查询时由于查询比较复杂,需要多次访问数据库,所以导致速度比较慢,再加上在超过300W条记录的表中多次查询,导致了查询需要接近2分钟。

我通过分析,发现在该超过300W条数据的中查询时大多是根据包含时间的字段,所以,我给该表建立了一个关于时间的索引,为了测试索引的性能,我就直接打开页面进行查询。发现时间还是非常慢的,不过有了很大的提高,接近1分钟就就出了数据。

由于多次访问数据库,我决定写一个存储过程,来进行一次访问数据库来提高查询速度。由于查询比较复杂我决定使用游标,但是发现游标相当比较占用资源,会影响数据,所以就改用临时表。具体代码如下,里面有注释,就不在这里进行详细说明了

 

代码
if exists(select * from dbo.sysindexes where name='FixingData_index')
drop index FixingData.FixingData_index
--建立索引
create index FixingData_index on dbo.FixingData(Fixing_Sn,ReadDate)



if exists (select * from dbo.sysobjects where id = object_id(N'[dbo].[hzxscada_GetStatData]') and OBJECTPROPERTY(id, N'IsProcedure') = 1)
drop procedure [dbo].[hzxscada_GetStatData]
GO

SET QUOTED_IDENTIFIER ON
GO
SET ANSI_NULLS ON
GO

--建立存储过程
CREATE proc hzxscada_GetStatData
@Department_id nvarchar(8),
@Fixing_Sn int,
@firstDate datetime,
@lastDate datetime
as
/*创建一张临时表*/
create table #StatData
(
Fixing_Sn
int,
Department_Name
nvarchar(40),
PinZhi
nvarchar(30),
FixingName
nvarchar(64),
DeviceType
nvarchar(1),
SNO
nvarchar(50),
sumData4 numeric(
14,1),
firstReadDate
datetime,
firstData5 numeric(
14,1),
lastReadDate
datetime,
lastData5 numeric(
14,1),
XiSHu
nvarchar(10),
Natural
nvarchar(1)
)

/*创建第二张临时表,用于存放符合条件的Fixing表中数据*/
create table #Fixing
(
[id] int identity(1,1) not null,
Fixing_Sn
int,
Department_Name
nvarchar(40),
PinZhi
nvarchar(30),
FixingName
nvarchar(64),
DeviceType
nvarchar(1),
SNO
nvarchar(50),
XiSHu
nvarchar(10)
primary key(id)
)

/*定义变量*/
declare @Fixing_id int,@Natural nvarchar(1),@Department_Name nvarchar(40),@PinZhi nvarchar(30),@FixingName nvarchar(64),
@DeviceType nvarchar(1),@SNO nvarchar(50),@XiSHu nvarchar(10),
@firstReadDate datetime,@firstData5 numeric(14,1),@lastReadDate datetime,@lastData5 numeric(14,1),@sumData4 numeric(14,1)

--向第二张临时表中插入数据
if (@Fixing_Sn<>-1)
begin
insert into #Fixing (Fixing_Sn,Department_Name,PinZhi,FixingName,DeviceType,SNO,XiSHu)
(
select Fixing_Sn,Department_Name,PinZhi,FixingName,DeviceType,SNO,XiSHu from Fixing
inner join Department on Department.Department_id=Fixing.Department_id
where Fixing.Department_id like (@Department_id+'%') and Fixing.Fixing_Sn = @Fixing_Sn
and Fixing.IsValid ='0' and fixtype ='6')
end
else
begin
insert into #Fixing (Fixing_Sn,Department_Name,PinZhi,FixingName,DeviceType,SNO,XiSHu)
(
select Fixing_Sn,Department_Name,PinZhi,FixingName,DeviceType,SNO,XiSHu from Fixing
inner join Department on Department.Department_id=Fixing.Department_id
where Fixing.Department_id like (@Department_id+'%')
and Fixing.IsValid ='0' and fixtype ='6' )
end

declare @i int
set @i=0
while @i<(select count(id) from #Fixing)
begin
--获取临时表中当前记录的Fixing_Sn等记录
select @Fixing_id=Fixing_Sn,@Department_Name=Department_Name,@PinZhi=PinZhi,@FixingName=FixingName,
@DeviceType=DeviceType,@SNO=SNO,@XiSHu=XiSHu
from #Fixing where [id]=@i+1
--获取满足条件的“上次读数应抄时间”及“上次读数”
select top 1 @firstReadDate=ReadDate,@firstData5=Data5 from FixingData
where Fixing_Sn=@Fixing_id and ReadDate between @firstDate and @lastDate order by ReadDate
--获取满足条件的“本次读数应抄时间”及“本次读数”及“表状态”
select top 1 @lastReadDate=ReadDate,@lastData5=Data5,@Natural=Natural from FixingData
where Fixing_Sn=@Fixing_id and ReadDate between @firstDate and @lastDate order by ReadDate desc
--获取满足条件的“实际用量”
select @sumData4=sum(Data4) from FixingData where (Fixing_Sn=@Fixing_id) and (ReadDate between @firstDate and @lastDate) and Natural='0'
if(@sumData4 is null)
begin
set @sumData4=0.0
end
--将本条数据插入临时表中
insert into #StatData (Fixing_Sn,Department_Name,PinZhi,FixingName,DeviceType,SNO,sumData4,firstReadDate,
firstData5,lastReadDate,lastData5,XiSHu,Natural)
values (@Fixing_id,@Department_Name,@PinZhi,@FixingName,@DeviceType,@SNO,@sumData4,
@firstReadDate,@firstData5,@lastReadDate,@lastData5,@XiSHu,@Natural)
set @i = @i + 1
end
/*删除第二张临时表
drop table #Fixing
*/

select Fixing_Sn,Department_Name,PinZhi,FixingName,DeviceType,SNO,XiSHu,firstReadDate,firstData5,lastReadDate,lastData5,sumData4,Natural from #StatData
order by Department_Name

/*删除这张临时表
drop table #StatData
*/


GO
SET QUOTED_IDENTIFIER OFF
GO
SET ANSI_NULLS ON
GO

 

posted on 2010-05-22 15:32  SivenZhang  阅读(1588)  评论(0编辑  收藏  举报