sql 分页 存储过程
2009-10-13 15:49
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大数据量分页存储过程效率测试附代码
在项目中，我们经常遇到或用到分页，那么在大数据量（百万级以上）下，哪种分页算法效率最优呢？我们不妨用事实说话。
测试环境
硬件：CPU 酷睿双核T5750 内存：2G
软件:Windows server 2003 + Sql server 2005
OK,我们首先创建一数据库：data_Test,并在此数据库中创建一表：tb_TestTable
1
create database data_Test --创建数据库data_Test
2
GO
3
use data_Test
4
GO
5
create table tb_TestTable --创建表
6
(
7
id int identity(1,1) primary key,
8
userName nvarchar(20) not null,
9
userPWD nvarchar(20) not null,
10
userEmail nvarchar(40) null
11
)
12
GO
然后我们在数据表中插入2000000条数据:
1
--插入数据
2
set identity_insert tb_TestTable on
3
declare @count int
4
set @count=1
5
while @count<=2000000
6
begin
7
insert into tb_TestTable(id,userName,userPWD,userEmail) values(@count,'admin','admin888','lli0077@yahoo.com.cn')
8
set @count=@count+1
9
end
10
set identity_insert tb_TestTable off
我首先写了五个常用存储过程：
1，利用select top 和select not in进行分页，具体代码如下：
1
create procedure proc_paged_with_notin --利用select top and select not in
2
(
3
@pageIndex int, --页索引
4
@pageSize int --每页记录数
5
)
6
as
7
begin
8
set nocount on;
9
declare @timediff datetime --耗时
10
declare @sql nvarchar(500)
11
select @timediff=Getdate()
12
set @sql='select top '+str(@pageSize)+' * from tb_TestTable where(ID not in(select top '+str(@pageSize*@pageIndex)+' id from tb_TestTable order by ID ASC)) order by ID'
13
execute(@sql) --因select top后不支技直接接参数，所以写成了字符串@sql
14
select datediff(ms,@timediff,GetDate()) as 耗时
15
set nocount off;
16
end
2,利用select top 和 select max(列键)
1
create procedure proc_paged_with_selectMax --利用select top and select max(列)
2
(
3
@pageIndex int, --页索引
4
@pageSize int --页记录数
5
)
6
as
7
begin
8
set nocount on;
9
declare @timediff datetime
10
declare @sql nvarchar(500)
11
select @timediff=Getdate()
12
set @sql='select top '+str(@pageSize)+' * From tb_TestTable where(ID>(select max(id) From (select top '+str(@pageSize*@pageIndex)+' id From tb_TestTable order by ID) as TempTable)) order by ID'
13
execute(@sql)
14
select datediff(ms,@timediff,GetDate()) as 耗时
15
set nocount off;
16
end
3,利用select top和中间变量--此方法因网上有人说效果最佳，所以贴出来一同测试
1
create procedure proc_paged_with_Midvar --利用ID>最大ID值和中间变量
2
(
3
@pageIndex int,
4
@pageSize int
5
)
6
as
7
declare @count int
8
declare @ID int
9
declare @timediff datetime
10
declare @sql nvarchar(500)
11
begin
12
set nocount on;
13
select @count=0,@ID=0,@timediff=getdate()
14
select @count=@count+1,@ID=case when @count<=@pageSize*@pageIndex then ID else @ID end from tb_testTable order by id
15
set @sql='select top '+str(@pageSize)+' * from tb_testTable where ID>'+str(@ID)
16
execute(@sql)
17
select datediff(ms,@timediff,getdate()) as 耗时
18
set nocount off;
19
end
20
4,利用Row_number() 此方法为SQL server 2005中新的方法,利用Row_number()给数据行加上索引
1
create procedure proc_paged_with_Rownumber --利用SQL 2005中的Row_number()
2
(
3
@pageIndex int,
4
@pageSize int
5
)
6
as
7
declare @timediff datetime
8
begin
9
set nocount on;
10
select @timediff=getdate()
11
select * from (select *,Row_number() over(order by ID asc) as IDRank from tb_testTable) as IDWithRowNumber where IDRank>@pageSize*@pageIndex and IDRank<@pageSize*(@pageIndex+1)
12
select datediff(ms,@timediff,getdate()) as 耗时
13
set nocount off;
14
end
15
5，利用临时表及Row_number
1
create procedure proc_CTE --利用临时表及Row_number
2
(
3
@pageIndex int, --页索引
4
@pageSize int --页记录数
5
)
6
as
7
set nocount on;
8
declare @ctestr nvarchar(400)
9
declare @strSql nvarchar(400)
10
declare @datediff datetime
11
begin
12
select @datediff=GetDate()
13
set @ctestr='with Table_CTE as
14
(select ceiling((Row_number() over(order by ID ASC))/'+str(@pageSize)+') as page_num,* from tb_TestTable)';
15
set @strSql=@ctestr+' select * From Table_CTE where page_num='+str(@pageIndex)
16
end
17
begin
18
execute sp_executesql @strSql
19
select datediff(ms,@datediff,GetDate())
20
set nocount off;
21
end
22
OK,至此，存储过程创建完毕，我们分别在每页10条数据的情况下在第2页，第1000页，第10000页，第100000页，第199999页进行测试，耗时单位：ms 每页测试5次取其平均值
测试结果显示：select max >row_number>not in>临时表>中间变量
于是我对效率最高的select max方法用2分法进行了扩展，代码取自互联网，我修改了ASC排序时取不到值的BUG，测试结果:
从测试结果来看，使用2分法确实可以提高效率并使效率更为稳定，我又增加了第159999页的测试，用时仅296ms，效果相当的不错！
下面是2分法使用select max的代码，已相当完善。
1
--/*-----存储过程 分页处理 孙伟 2005-03-28创建 -------*/
2
--/*-----存储过程 分页处理 浪尘 2008-9-1修改----------*/
3
--/*----- 对数据进行了2分处理使查询前半部分数据与查询后半部分数据性能相同 -------*/
4
5
alter PROCEDURE proc_paged_2part_selectMax
6
(
7
@tblName nvarchar(200), ----要显示的表或多个表的连接
8
@fldName nvarchar(500) = '*', ----要显示的字段列表
9
@pageSize int = 10, ----每页显示的记录个数
10
@page int = 1, ----要显示那一页的记录
11
@fldSort nvarchar(200) = null, ----排序字段列表或条件
12
@Sort bit = 0, ----排序方法，0为升序，1为降序(如果是多字段排列Sort指代最后一个排序字段的排列顺序(最后一个排序字段不加排序标记)--程序传参如：' SortA Asc,SortB Desc,SortC ')
13
@strCondition nvarchar(1000) = null, ----查询条件,不需where
14
@ID nvarchar(150), ----主表的主键
15
@Dist bit = 0, ----是否添加查询字段的 DISTINCT 默认0不添加/1添加
16
@pageCount int = 1 output, ----查询结果分页后的总页数
17
@Counts int = 1 output ----查询到的记录数
18
)
19
AS
20
SET NOCOUNT ON
21
Declare @sqlTmp nvarchar(1000) ----存放动态生成的SQL语句
22
Declare @strTmp nvarchar(1000) ----存放取得查询结果总数的查询语句
23
Declare @strID nvarchar(1000) ----存放取得查询开头或结尾ID的查询语句
24
25
Declare @strSortType nvarchar(10) ----数据排序规则A
26
Declare @strFSortType nvarchar(10) ----数据排序规则B
27
28
Declare @SqlSelect nvarchar(50) ----对含有DISTINCT的查询进行SQL构造
29
Declare @SqlCounts nvarchar(50) ----对含有DISTINCT的总数查询进行SQL构造
30
31
declare @timediff datetime --耗时测试时间差
32
select @timediff=getdate()
33
34
if @Dist = 0
35
begin
36
set @SqlSelect = 'select '
37
set @SqlCounts = 'Count(*)'
38
end
39
else
40
begin
41
set @SqlSelect = 'select distinct '
42
set @SqlCounts = 'Count(DISTINCT '+@ID+')'
43
end
44
45
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if @Sort=0
47
begin
48
set @strFSortType=' ASC '
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set @strSortType=' DESC '
50
end
51
else
52
begin
53
set @strFSortType=' DESC '
54
set @strSortType=' ASC '
55
end
56
57
58
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--------生成查询语句--------
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--此处@strTmp为取得查询结果数量的语句
61
if @strCondition is null or @strCondition='' --没有设置显示条件
62
begin
63
set @sqlTmp = @fldName + ' From ' + @tblName
64
set @strTmp = @SqlSelect+' @Counts='+@SqlCounts+' FROM '+@tblName
65
set @strID = ' From ' + @tblName
66
end
67
else
68
begin
69
set @sqlTmp = + @fldName + 'From ' + @tblName + ' where (1>0) ' + @strCondition
70
set @strTmp = @SqlSelect+' @Counts='+@SqlCounts+' FROM '+@tblName + ' where (1>0) ' + @strCondition
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set @strID = ' From ' + @tblName + ' where (1>0) ' + @strCondition
72
end
73
74
----取得查询结果总数量-----
75
exec sp_executesql @strTmp,N'@Counts int out ',@Counts out
76
declare @tmpCounts int
77
if @Counts = 0
78
set @tmpCounts = 1
79
else
80
set @tmpCounts = @Counts
81
82
--取得分页总数
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set @pageCount=(@tmpCounts+@pageSize-1)/@pageSize
84
85
/**//**//**//**当前页大于总页数 取最后一页**/
86
if @page>@pageCount
87
set @page=@pageCount
88
89
--/*-----数据分页2分处理-------*/
90
declare @pageIndex int --总数/页大小
91
declare @lastcount int --总数%页大小
92
93
set @pageIndex = @tmpCounts/@pageSize
94
set @lastcount = @tmpCounts%@pageSize
95
if @lastcount > 0
96
set @pageIndex = @pageIndex + 1
97
else
98
set @lastcount = @pagesize
99
100
--//***显示分页
101
if @strCondition is null or @strCondition='' --没有设置显示条件
102
begin
103
if @pageIndex<2 or @page<=@pageIndex / 2 + @pageIndex % 2 --前半部分数据处理
104
begin
105
if @page=1
106
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
107
+' order by '+ @fldSort +' '+ @strFSortType
108
else
109
begin
110
if @Sort=1
111
begin
112
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
113
+' where '+@ID+' <(select min('+ @ID +') from ('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-1) as Varchar(20)) +' '+ @ID +' from '+@tblName
114
+' order by '+ @fldSort +' '+ @strFSortType+') AS TBMinID)'
115
+' order by '+ @fldSort +' '+ @strFSortType
116
end
117
else
118
begin
119
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
120
+' where '+@ID+' >(select max('+ @ID +') from ('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-1) as Varchar(20)) +' '+ @ID +' from '+@tblName
121
+' order by '+ @fldSort +' '+ @strFSortType+') AS TBMinID)'
122
+' order by '+ @fldSort +' '+ @strFSortType
123
end
124
end
125
end
126
else
127
begin
128
set @page = @pageIndex-@page+1 --后半部分数据处理
129
if @page <= 1 --最后一页数据显示
130
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@lastcount as VARCHAR(4))+' '+ @fldName+' from '+@tblName
131
+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
132
else
133
if @Sort=1
134
begin
135
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
136
+' where '+@ID+' >(select max('+ @ID +') from('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-2)+@lastcount as Varchar(20)) +' '+ @ID +' from '+@tblName
137
+' order by '+ @fldSort +' '+ @strSortType+') AS TBMaxID)'
138
+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
139
end
140
else
141
begin
142
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+<
18a9a
/span>' '+ @fldName+' from '+@tblName
143
+' where '+@ID+' <(select min('+ @ID +') from('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-2)+@lastcount as Varchar(20)) +' '+ @ID +' from '+@tblName
144
+' order by '+ @fldSort +' '+ @strSortType+') AS TBMaxID)'
145
+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
146
end
147
end
148
end
149
150
else --有查询条件
151
begin
152
if @pageIndex<2 or @page<=@pageIndex / 2 + @pageIndex % 2 --前半部分数据处理
153
begin
154
if @page=1
155
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
156
+' where 1=1 ' + @strCondition + ' order by '+ @fldSort +' '+ @strFSortType
157
else if(@Sort=1)
158
begin
159
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
160
+' where '+@ID+' <(select min('+ @ID +') from ('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-1) as Varchar(20)) +' '+ @ID +' from '+@tblName
161
+' where (1=1) ' + @strCondition +' order by '+ @fldSort +' '+ @strFSortType+') AS TBMinID)'
162
+' '+ @strCondition +' order by '+ @fldSort +' '+ @strFSortType
163
end
164
else
165
begin
166
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
167
+' where '+@ID+' >(select max('+ @ID +') from ('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-1) as Varchar(20)) +' '+ @ID +' from '+@tblName
168
+' where (1=1) ' + @strCondition +' order by '+ @fldSort +' '+ @strFSortType+') AS TBMinID)'
169
+' '+ @strCondition +' order by '+ @fldSort +' '+ @strFSortType
170
end
171
end
172
else
173
begin
174
set @page = @pageIndex-@page+1 --后半部分数据处理
175
if @page <= 1 --最后一页数据显示
176
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@lastcount as VARCHAR(4))+' '+ @fldName+' from '+@tblName
177
+' where (1=1) '+ @strCondition +' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
178
else if(@Sort=1)
179
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
180
+' where '+@ID+' >(select max('+ @ID +') from('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-2)+@lastcount as Varchar(20)) +' '+ @ID +' from '+@tblName
181
+' where (1=1) '+ @strCondition +' order by '+ @fldSort +' '+ @strSortType+') AS TBMaxID)'
182
+' '+ @strCondition+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
183
else
184
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
185
+' where '+@ID+' <(select min('+ @ID +') from('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-2)+@lastcount as Varchar(20)) +' '+ @ID +' from '+@tblName
186
+' where (1=1) '+ @strCondition +' order by '+ @fldSort +' '+ @strSortType+') AS TBMaxID)'
187
+' '+ @strCondition+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
188
end
189
end
190
191
------返回查询结果-----
192
exec sp_executesql @strTmp
193
select datediff(ms,@timediff,getdate()) as 耗时
194
--print @strTmp
195
SET NOCOUNT OFF
196
GO
197
执行示例：exec proc_paged_2part_selectMax 'tb_testTable','ID,userName,userPWD,userEmail',10,100000,'ID',0,null,'ID',0
这种测试只在单机进行，并且没有在实际开发WEB项目中分页测试，测试项也比较单一，所以不够全面系统，但从其效率相比上，我们可以在数据库分页算法上进行有效的控制。
在项目中，我们经常遇到或用到分页，那么在大数据量（百万级以上）下，哪种分页算法效率最优呢？我们不妨用事实说话。
测试环境
硬件：CPU 酷睿双核T5750 内存：2G
软件:Windows server 2003 + Sql server 2005
OK,我们首先创建一数据库：data_Test,并在此数据库中创建一表：tb_TestTable
1
create database data_Test --创建数据库data_Test
2
GO
3
use data_Test
4
GO
5
create table tb_TestTable --创建表
6
(
7
id int identity(1,1) primary key,
8
userName nvarchar(20) not null,
9
userPWD nvarchar(20) not null,
10
userEmail nvarchar(40) null
11
)
12
GO
然后我们在数据表中插入2000000条数据:
1
--插入数据
2
set identity_insert tb_TestTable on
3
declare @count int
4
set @count=1
5
while @count<=2000000
6
begin
7
insert into tb_TestTable(id,userName,userPWD,userEmail) values(@count,'admin','admin888','lli0077@yahoo.com.cn')
8
set @count=@count+1
9
end
10
set identity_insert tb_TestTable off
我首先写了五个常用存储过程：
1，利用select top 和select not in进行分页，具体代码如下：
1
create procedure proc_paged_with_notin --利用select top and select not in
2
(
3
@pageIndex int, --页索引
4
@pageSize int --每页记录数
5
)
6
as
7
begin
8
set nocount on;
9
declare @timediff datetime --耗时
10
declare @sql nvarchar(500)
11
select @timediff=Getdate()
12
set @sql='select top '+str(@pageSize)+' * from tb_TestTable where(ID not in(select top '+str(@pageSize*@pageIndex)+' id from tb_TestTable order by ID ASC)) order by ID'
13
execute(@sql) --因select top后不支技直接接参数，所以写成了字符串@sql
14
select datediff(ms,@timediff,GetDate()) as 耗时
15
set nocount off;
16
end
2,利用select top 和 select max(列键)
1
create procedure proc_paged_with_selectMax --利用select top and select max(列)
2
(
3
@pageIndex int, --页索引
4
@pageSize int --页记录数
5
)
6
as
7
begin
8
set nocount on;
9
declare @timediff datetime
10
declare @sql nvarchar(500)
11
select @timediff=Getdate()
12
set @sql='select top '+str(@pageSize)+' * From tb_TestTable where(ID>(select max(id) From (select top '+str(@pageSize*@pageIndex)+' id From tb_TestTable order by ID) as TempTable)) order by ID'
13
execute(@sql)
14
select datediff(ms,@timediff,GetDate()) as 耗时
15
set nocount off;
16
end
3,利用select top和中间变量--此方法因网上有人说效果最佳，所以贴出来一同测试
1
create procedure proc_paged_with_Midvar --利用ID>最大ID值和中间变量
2
(
3
@pageIndex int,
4
@pageSize int
5
)
6
as
7
declare @count int
8
declare @ID int
9
declare @timediff datetime
10
declare @sql nvarchar(500)
11
begin
12
set nocount on;
13
select @count=0,@ID=0,@timediff=getdate()
14
select @count=@count+1,@ID=case when @count<=@pageSize*@pageIndex then ID else @ID end from tb_testTable order by id
15
set @sql='select top '+str(@pageSize)+' * from tb_testTable where ID>'+str(@ID)
16
execute(@sql)
17
select datediff(ms,@timediff,getdate()) as 耗时
18
set nocount off;
19
end
20
4,利用Row_number() 此方法为SQL server 2005中新的方法,利用Row_number()给数据行加上索引
1
create procedure proc_paged_with_Rownumber --利用SQL 2005中的Row_number()
2
(
3
@pageIndex int,
4
@pageSize int
5
)
6
as
7
declare @timediff datetime
8
begin
9
set nocount on;
10
select @timediff=getdate()
11
select * from (select *,Row_number() over(order by ID asc) as IDRank from tb_testTable) as IDWithRowNumber where IDRank>@pageSize*@pageIndex and IDRank<@pageSize*(@pageIndex+1)
12
select datediff(ms,@timediff,getdate()) as 耗时
13
set nocount off;
14
end
15
5，利用临时表及Row_number
1
create procedure proc_CTE --利用临时表及Row_number
2
(
3
@pageIndex int, --页索引
4
@pageSize int --页记录数
5
)
6
as
7
set nocount on;
8
declare @ctestr nvarchar(400)
9
declare @strSql nvarchar(400)
10
declare @datediff datetime
11
begin
12
select @datediff=GetDate()
13
set @ctestr='with Table_CTE as
14
(select ceiling((Row_number() over(order by ID ASC))/'+str(@pageSize)+') as page_num,* from tb_TestTable)';
15
set @strSql=@ctestr+' select * From Table_CTE where page_num='+str(@pageIndex)
16
end
17
begin
18
execute sp_executesql @strSql
19
select datediff(ms,@datediff,GetDate())
20
set nocount off;
21
end
22
OK,至此，存储过程创建完毕，我们分别在每页10条数据的情况下在第2页，第1000页，第10000页，第100000页，第199999页进行测试，耗时单位：ms 每页测试5次取其平均值
| 存过 | 第2页耗时 | 第1000页耗时 | 第10000页耗时 | 第100000页耗时 | 第199999页耗时 | 效率排行 |
| 1用not in | 0ms | 16ms | 47ms | 475ms | 953ms | 3 |
| 2用select max | 5ms | 16ms | 35ms | 325ms | 623ms | 1 |
| 3中间变量 | 966ms | 970ms | 960ms | 945ms | 933ms | 5 |
| 4row_number | 0ms | 0ms | 34ms | 365ms | 710ms | 2 |
| 4临时表 | 780ms | 796ms | 798ms | 780ms | 805ms | 4 |
于是我对效率最高的select max方法用2分法进行了扩展，代码取自互联网，我修改了ASC排序时取不到值的BUG，测试结果:
| 2分法 | 156ms | 156ms | 180ms | 470ms | 156ms | 1* |
下面是2分法使用select max的代码，已相当完善。
1
--/*-----存储过程 分页处理 孙伟 2005-03-28创建 -------*/
2
--/*-----存储过程 分页处理 浪尘 2008-9-1修改----------*/
3
--/*----- 对数据进行了2分处理使查询前半部分数据与查询后半部分数据性能相同 -------*/
4
5
alter PROCEDURE proc_paged_2part_selectMax
6
(
7
@tblName nvarchar(200), ----要显示的表或多个表的连接
8
@fldName nvarchar(500) = '*', ----要显示的字段列表
9
@pageSize int = 10, ----每页显示的记录个数
10
@page int = 1, ----要显示那一页的记录
11
@fldSort nvarchar(200) = null, ----排序字段列表或条件
12
@Sort bit = 0, ----排序方法，0为升序，1为降序(如果是多字段排列Sort指代最后一个排序字段的排列顺序(最后一个排序字段不加排序标记)--程序传参如：' SortA Asc,SortB Desc,SortC ')
13
@strCondition nvarchar(1000) = null, ----查询条件,不需where
14
@ID nvarchar(150), ----主表的主键
15
@Dist bit = 0, ----是否添加查询字段的 DISTINCT 默认0不添加/1添加
16
@pageCount int = 1 output, ----查询结果分页后的总页数
17
@Counts int = 1 output ----查询到的记录数
18
)
19
AS
20
SET NOCOUNT ON
21
Declare @sqlTmp nvarchar(1000) ----存放动态生成的SQL语句
22
Declare @strTmp nvarchar(1000) ----存放取得查询结果总数的查询语句
23
Declare @strID nvarchar(1000) ----存放取得查询开头或结尾ID的查询语句
24
25
Declare @strSortType nvarchar(10) ----数据排序规则A
26
Declare @strFSortType nvarchar(10) ----数据排序规则B
27
28
Declare @SqlSelect nvarchar(50) ----对含有DISTINCT的查询进行SQL构造
29
Declare @SqlCounts nvarchar(50) ----对含有DISTINCT的总数查询进行SQL构造
30
31
declare @timediff datetime --耗时测试时间差
32
select @timediff=getdate()
33
34
if @Dist = 0
35
begin
36
set @SqlSelect = 'select '
37
set @SqlCounts = 'Count(*)'
38
end
39
else
40
begin
41
set @SqlSelect = 'select distinct '
42
set @SqlCounts = 'Count(DISTINCT '+@ID+')'
43
end
44
45
46
if @Sort=0
47
begin
48
set @strFSortType=' ASC '
49
set @strSortType=' DESC '
50
end
51
else
52
begin
53
set @strFSortType=' DESC '
54
set @strSortType=' ASC '
55
end
56
57
58
59
--------生成查询语句--------
60
--此处@strTmp为取得查询结果数量的语句
61
if @strCondition is null or @strCondition='' --没有设置显示条件
62
begin
63
set @sqlTmp = @fldName + ' From ' + @tblName
64
set @strTmp = @SqlSelect+' @Counts='+@SqlCounts+' FROM '+@tblName
65
set @strID = ' From ' + @tblName
66
end
67
else
68
begin
69
set @sqlTmp = + @fldName + 'From ' + @tblName + ' where (1>0) ' + @strCondition
70
set @strTmp = @SqlSelect+' @Counts='+@SqlCounts+' FROM '+@tblName + ' where (1>0) ' + @strCondition
71
set @strID = ' From ' + @tblName + ' where (1>0) ' + @strCondition
72
end
73
74
----取得查询结果总数量-----
75
exec sp_executesql @strTmp,N'@Counts int out ',@Counts out
76
declare @tmpCounts int
77
if @Counts = 0
78
set @tmpCounts = 1
79
else
80
set @tmpCounts = @Counts
81
82
--取得分页总数
83
set @pageCount=(@tmpCounts+@pageSize-1)/@pageSize
84
85
/**//**//**//**当前页大于总页数 取最后一页**/
86
if @page>@pageCount
87
set @page=@pageCount
88
89
--/*-----数据分页2分处理-------*/
90
declare @pageIndex int --总数/页大小
91
declare @lastcount int --总数%页大小
92
93
set @pageIndex = @tmpCounts/@pageSize
94
set @lastcount = @tmpCounts%@pageSize
95
if @lastcount > 0
96
set @pageIndex = @pageIndex + 1
97
else
98
set @lastcount = @pagesize
99
100
--//***显示分页
101
if @strCondition is null or @strCondition='' --没有设置显示条件
102
begin
103
if @pageIndex<2 or @page<=@pageIndex / 2 + @pageIndex % 2 --前半部分数据处理
104
begin
105
if @page=1
106
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
107
+' order by '+ @fldSort +' '+ @strFSortType
108
else
109
begin
110
if @Sort=1
111
begin
112
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
113
+' where '+@ID+' <(select min('+ @ID +') from ('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-1) as Varchar(20)) +' '+ @ID +' from '+@tblName
114
+' order by '+ @fldSort +' '+ @strFSortType+') AS TBMinID)'
115
+' order by '+ @fldSort +' '+ @strFSortType
116
end
117
else
118
begin
119
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
120
+' where '+@ID+' >(select max('+ @ID +') from ('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-1) as Varchar(20)) +' '+ @ID +' from '+@tblName
121
+' order by '+ @fldSort +' '+ @strFSortType+') AS TBMinID)'
122
+' order by '+ @fldSort +' '+ @strFSortType
123
end
124
end
125
end
126
else
127
begin
128
set @page = @pageIndex-@page+1 --后半部分数据处理
129
if @page <= 1 --最后一页数据显示
130
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@lastcount as VARCHAR(4))+' '+ @fldName+' from '+@tblName
131
+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
132
else
133
if @Sort=1
134
begin
135
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
136
+' where '+@ID+' >(select max('+ @ID +') from('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-2)+@lastcount as Varchar(20)) +' '+ @ID +' from '+@tblName
137
+' order by '+ @fldSort +' '+ @strSortType+') AS TBMaxID)'
138
+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
139
end
140
else
141
begin
142
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+<
18a9a
/span>' '+ @fldName+' from '+@tblName
143
+' where '+@ID+' <(select min('+ @ID +') from('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-2)+@lastcount as Varchar(20)) +' '+ @ID +' from '+@tblName
144
+' order by '+ @fldSort +' '+ @strSortType+') AS TBMaxID)'
145
+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
146
end
147
end
148
end
149
150
else --有查询条件
151
begin
152
if @pageIndex<2 or @page<=@pageIndex / 2 + @pageIndex % 2 --前半部分数据处理
153
begin
154
if @page=1
155
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
156
+' where 1=1 ' + @strCondition + ' order by '+ @fldSort +' '+ @strFSortType
157
else if(@Sort=1)
158
begin
159
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
160
+' where '+@ID+' <(select min('+ @ID +') from ('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-1) as Varchar(20)) +' '+ @ID +' from '+@tblName
161
+' where (1=1) ' + @strCondition +' order by '+ @fldSort +' '+ @strFSortType+') AS TBMinID)'
162
+' '+ @strCondition +' order by '+ @fldSort +' '+ @strFSortType
163
end
164
else
165
begin
166
set @strTmp=@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
167
+' where '+@ID+' >(select max('+ @ID +') from ('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-1) as Varchar(20)) +' '+ @ID +' from '+@tblName
168
+' where (1=1) ' + @strCondition +' order by '+ @fldSort +' '+ @strFSortType+') AS TBMinID)'
169
+' '+ @strCondition +' order by '+ @fldSort +' '+ @strFSortType
170
end
171
end
172
else
173
begin
174
set @page = @pageIndex-@page+1 --后半部分数据处理
175
if @page <= 1 --最后一页数据显示
176
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@lastcount as VARCHAR(4))+' '+ @fldName+' from '+@tblName
177
+' where (1=1) '+ @strCondition +' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
178
else if(@Sort=1)
179
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
180
+' where '+@ID+' >(select max('+ @ID +') from('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-2)+@lastcount as Varchar(20)) +' '+ @ID +' from '+@tblName
181
+' where (1=1) '+ @strCondition +' order by '+ @fldSort +' '+ @strSortType+') AS TBMaxID)'
182
+' '+ @strCondition+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
183
else
184
set @strTmp=@SqlSelect+' * from ('+@SqlSelect+' top '+ CAST(@pageSize as VARCHAR(4))+' '+ @fldName+' from '+@tblName
185
+' where '+@ID+' <(select min('+ @ID +') from('+ @SqlSelect+' top '+ CAST(@pageSize*(@page-2)+@lastcount as Varchar(20)) +' '+ @ID +' from '+@tblName
186
+' where (1=1) '+ @strCondition +' order by '+ @fldSort +' '+ @strSortType+') AS TBMaxID)'
187
+' '+ @strCondition+' order by '+ @fldSort +' '+ @strSortType+') AS TempTB'+' order by '+ @fldSort +' '+ @strFSortType
188
end
189
end
190
191
------返回查询结果-----
192
exec sp_executesql @strTmp
193
select datediff(ms,@timediff,getdate()) as 耗时
194
--print @strTmp
195
SET NOCOUNT OFF
196
GO
197
执行示例：exec proc_paged_2part_selectMax 'tb_testTable','ID,userName,userPWD,userEmail',10,100000,'ID',0,null,'ID',0
这种测试只在单机进行，并且没有在实际开发WEB项目中分页测试，测试项也比较单一，所以不够全面系统，但从其效率相比上，我们可以在数据库分页算法上进行有效的控制。
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