SQL2005分区表可以在一定程度上解决海量数据的性能问题，比如可以规避高访问量数据区段的io竞争，可以缩小你查询数据范围的索引大小。
--drop database dbPartitionTest
--测试数据库
create database dbPartitionTest
go
use
dbPartitionTest
go
--增加分组
alter database dbPartitionTest ADD FILEGROUP P200801
alter database dbPartitionTest ADD FILEGROUP P200802
alter database dbPartitionTest ADD FILEGROUP P200803
go
--分区函数
CREATE PARTITION FUNCTION part_Year(datetime)
AS RANGE LEFT FOR VALUES
(
’20080131 23:59:59.997’,’20080229 23:59:59.997’,’20080331 23:59:59.997’
)
go
--增加文件组
ALTER DATABASE dbPartitionTest ADD FILE (NAME = N’P200801’,FILENAME = N’c:tb_P200801.ndf’,SIZE = 1MB,MAXSIZE = 500MB,FILEGROWTH = 1MB)TO FILEGROUP P200801
ALTER DATABASE dbPartitionTest ADD FILE (NAME = N’P200802’,FILENAME = N’c:tb_P200802.ndf’,SIZE = 1MB,MAXSIZE = 500MB,FILEGROWTH = 1MB)TO FILEGROUP P200802
ALTER DATABASE dbPartitionTest ADD FILE (NAME = N’P200803’,FILENAME = N’c:tb_P200803.ndf’,SIZE = 1MB,MAXSIZE = 500MB,FILEGROWTH = 1MB)TO FILEGROUP P200803
go
--分区架构
CREATE PARTITION SCHEME part_YearScheme AS PARTITION part_Year TO (P200801,P200802,P200803,[PRIMARY])
go
CREATE TABLE [dbo].t_part
(name varchar(100) default newid(),date datetime NOT NULL)
ON part_YearScheme (date)
go
--添加测试数据,每天1条
declare @date datetime
set @date=’2007-12-31’
while @date<=’2008-04-0’
1 begin
insert into t_part(date)values(@date)
set @date=@date+1
end
go
--查询数据分布在哪些分区
select $partition.part_Year(date) as 分区编号,* from t_part order by date
--查询数据库文件
go
sp_helpfile
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