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。 msdn参考
http://msdn.microsoft.com/zh-cn/library/ms345146.aspx 一个完整的脚本示例
--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<='2008-04-01' 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