一:解释
     SQL Server提供了一种方法:可以将一些预先编译的SQL语句集中起来由SQL Server数据库服务器来完成以实现某个任务,这就是存储过程。存储过程常驻在SQL Server数据库服务器的内存中。
二:优点
  1.运行的熟读快,比SQL语句执行速度快2~10倍
  2.可以接受参数,输出参数返回单个或多个结果集以及返回值。可以向程序返回错误的原因
  3.运行稳定错误较少
  4.主要是在服务器上运行,减少对客户机的压力
  5.可以包含程序流、逻辑以及对数据库的查询
  6.可以在单个存储过程中执行一系列的SQL语句
  7.增加网络流量,降低网络负担,如果使用单条调用语句的方式,就必须传输大量的SQL语句
 
三:结构
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" alt="" />
 
实例:
定义一个存储过程:
CREATE PROCEDURE  Department_Add
-- Add the parameters for the stored procedure here
@DepartmentName nvarchar(50),
@Tel1 nvarchar(20),
@Tel2 nvarchar(20),
@Displayorder int
AS
BEGIN
INSERT INTO Department
(
DepartmentName,
Tel1,
Tel2,
Displayorder
)
VALUES
( @DepartmentName,
@Tel1,
@Tel2,
@Displayorder
)
END
GO

右键:执行

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" alt="" />

执行成功:
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执行生成的SQL语句:
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" alt="" />
 
 
通用的修改的存储过程:
语句:
-- =============================================
-- Author: 孙丽媛
-- Create date: 2016-9-27
-- Description: 通用的存储过程
-- =============================================
CREATE PROCEDURE UpdateTableByCondition
@tableName nvarchar(100), --修改的表
@columns nvarchar(300), --修改的列
--@values nvarchar(600), --修改的值
@conditions nvarchar(500)=‘1=1’ --修改的条件 AS
BEGIN declare @sql nvarchar(2000) --定义sql语句
--对变量赋值1.select 在查询中赋值
--2.set 直接赋值
SET @sql='UPDATE '+@tableName+' set '+@columns+' where '+@conditions
print @sql END
执行的效果图:
aaarticlea/png;base64,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" alt="" />
 
通用删除的存储过程:
-- =============================================
-- Author: <Author,,Name>
-- Create date: <Create Date,,>
-- Description: 通用的删除存储过程
-- =============================================
CREATE PROCEDURE DeleteTableByCondition
@tableName nvarchar(100), -- 删除的表
@condition nvarchar(500)='' --删除的条件 AS
BEGIN
declare @Sql nvarchar(1000)
SET @Sql = 'Delete from '+@tableName+' '+@condition
--print @Sql
EXEC(@Sql)
END
GO

通用添加的存储过程:

Create proc CommonInsertProc
(
@tbName nvarchar(255),--表名
@fldName nvarchar(1000),--列名
@fldValue nvarchar(2000) --值
)
As
Set nocount on
/*定义变量*/
Declare @strSQL varchar(4000)
Set @strSQL='Insert into ['+@tbName+'] ('+@fldName +') values('+@fldValue +')'
Exec(@strSQL)
Go

通用查询的存储过程:

1.实现查询指定表返回所有信息

-- =============================================
-- Author: <Author,,Name>
-- Create date: <Create Date,,>
-- Description: 根据指定表返回所有数据
-- =============================================
CREATE PROCEDURE GetDataByTableName
@tableName nvarchar(2000)
AS
BEGIN SET NOCOUNT ON;
DECLARE @Sql nvarchar(2000)
SET @Sql='select * from '+@tableName
EXEC(@Sql)
END
GO

2.实现查询指定表指定列返回信息

-- =============================================
-- Author: <Author,,Name>
-- Create date: <Create Date,,>
-- Description: 查询指定的表,指定列的信息
-- =============================================
CREATE PROCEDURE getDataByTableNameValue
@tableName nvarchar(500),
@columns nvarchar(2000)
AS
BEGIN
SET NOCOUNT ON;
DECLARE @Sql nvarchar(4000)
SET @Sql='select '+@columns+' from '+@tableName
EXEC(@Sql)
End
GO

3.实现查询指定表按照不同的条件查询返回信息

-- =============================================
-- Author: <Author,,Name>
-- Create date: <Create Date,,>
-- Description: 根据指定列,指定条件,指定表查询数据
-- =============================================
CREATE PROCEDURE GetDataByCondition
@tableName nvarchar(200),
@columns nvarchar(500),
@condition nvarchar(500)=' 1=1' AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
DECLARE @sqlStr nvarchar(2000)
SET @sqlStr='select '+@columns+' from '+@tableName+' where '+@condition
EXEC(@sqlStr)
END
GO

分页的通用存储过程:

-- =============================================
-- Author: <Author,,Name>
-- Create date: <Create Date,,>
-- Description: 分页数据查询
-- =============================================
CREATE PROCEDURE getDataByPageIndex
@table nvarchar(200), --查询表
@coumlns nvarchar(1000), --查询列
@pk nvarchar(50), --主建列
@condition nvarchar(500)=' and 1=1 ', --查询条件
@pageIndex int=0, --列的索引
@pageSize int=10 --列的页数 AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
DECLARE @sql nvarchar(4000)
SET @sql='select top '+CAST(@pageSize AS nvarchar(10))+' '+@coumlns +' from '+@table+' where '+@pk +' not in (
select top '+CAST((@pageSize*@pageIndex) AS nvarchar(10))+' '+ @pk+ ' FROM '+@table+ ' where 1=1 '+@condition+')'+@condition
END
GO

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