MySQL大数据量时提高分页效率
我的这段代码是大数据量时提高分页的效率的测试代码 --提高分页效率:实现分页时只读取显示数据,需要先在数据库创建数据库TestForPaging use TestForPaging go --创建表SomeData create table SomeData ( id int primary key, name varchar(30) null, descrip
我的这段代码是大数据量时提高分页的效率的测试代码
--提高分页效率:实现分页时只读取显示数据,需要先在数据库创建数据库“TestForPaging”
use TestForPaging
go
--创建表SomeData
create table SomeData
(
id int primary key,
name varchar(30) null,
description text
)
go
--插入数据
insert into SomeData values(1,'num1','第1条')
go
insert into SomeData values(2,'num2','第2条')
go
insert into SomeData values(3,'num3','第3条')
go
insert into SomeData values(4,'num4','第4条')
go
insert into SomeData values(5,'num5','第5条')
go
--数据条目总数
select count(*) from SomeData
go
--给每条记录添加一个数据级别
select name,description,ROW_NUMBER() over(order by id desc)as dataLevel from SomeData
go
--查看指定的数据级别间的数据条目
select dataLevel,name,description from
(select name,description,row_number() over(order by id desc)as dataLevel from SomeData)
as datawithleverl where dataLevel between 2 and 4
go
--实现查看指定的数据级别间的数据条目的存储过程
create procedure GetDataPaged
(
@startRowIndex int,
@maximumRows int,
@sort varchar
)
AS
--确保指定sort
if len(@sort)=0
set @sort='id'
--带参数的查询
select dataLevel,name,description from
(select name,description,row_number() over(order by @sort desc)as dataLevel from SomeData) AS datawithleverl
WHERE dataLevel > (@startRowIndex*10) AND dataLevel
go
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