前面把Oracle的分页存储过程写了,这里也贴出MS SQL Server的分页存储过程,不过这个存储过程的灵活性没有Oracle那个强,大家如果有好的建议或者方法,记得留言哦 闲话不扯了,贴代码: 1、存储过程: Create or procedure AspNetPage @tblNamevarchar(1000)
前面把Oracle的分页存储过程写了,香港服务器租用,这里也贴出MS SQL Server的分页存储过程,不过这个存储过程的灵活性没有Oracle那个强,大家如果有好的建议或者方法,香港服务器,记得留言哦
闲话不扯了,贴代码:
1、存储过程:
Create or procedure AspNetPage
@tblName
varchar(1000),
-- 表名
@SelectFieldName varchar(4000),
-- 要显示的字段名(不要加select)
@strWhere
varchar(4000),
-- 查询条件(注意: 不要加 where)
@OrderFieldName
varchar(255),
-- 排序索引字段名
@PageSize
int ,
-- 页大小
@PageIndex
int = 1,
-- 页码
@iRowCount
int output,
-- 返回记录总数
@OrderType
bit = 0
-- 设置排序类型, 非 0 值则降序
AS
declare @strSQL varchar(4000)
-- 主语句
declare @strTmp varchar(4000)
-- 临时变量
declare @strOrder varchar(400)
-- 排序类型
declare @strRowCount nvarchar(4000)
-- 用于查询记录总数的语句
set @OrderFieldName=ltrim(rtrim(@OrderFieldName))
if @OrderType != 0
begin
set @strTmp = ' set @strOrder = ' order by ' + @OrderFieldName +' desc'
end
else
begin
set @strTmp = '>(select max'
set @strOrder = ' order by ' + @OrderFieldName +' asc'
end
set @strSQL = 'select top ' + str(@PageSize) + @SelectFieldName+' from '
+ @tblName + ' where ' + @OrderFieldName + @strTmp + '('
+ right(@OrderFieldName,len(@OrderFieldName)-charindex('.',@OrderFieldName)) + ') from (select top ' + str((@PageIndex-1)*@PageSize)
+ @OrderFieldName + ' from ' + @tblName + @strOrder + ') as tblTmp)'
+ @strOrder
if @strWhere != ''
set @strSQL = 'select top ' + str(@PageSize) + @SelectFieldName+' from '
+ @tblName + ' where ' + @OrderFieldName + @strTmp + '('
+ right(@OrderFieldName,len(@OrderFieldName)-charindex('.',@OrderFieldName)) + ') from (select top ' + str((@PageIndex-1)*@PageSize)
+ @OrderFieldName + ' from ' + @tblName + ' where ' + @strWhere + ' '
+ @strOrder + ') as tblTmp) and ' + @strWhere + ' ' + @strOrder
if @PageIndex = 1
begin
set @strTmp = ''
if @strWhere != ''
set @strTmp = ' where ' + @strWhere
set @strSQL = 'select top ' + str(@PageSize) + @SelectFieldName+' from '
+ @tblName + @strTmp + ' ' + @strOrder
end
exec(@strSQL)
if @strWhere!=''
begin
set @strRowCount = 'select @iRowCount=count(*) from ' + @tblName+' where '+@strWhere
end
else
begin
set @strRowCount = 'select @iRowCount=count(*) from ' + @tblName
end
exec sp_executesql @strRowCount,N'@iRowCount int out',@iRowCount out
2、C#调用:
///
/// 分页数据
///
/// 表明
/// 返回字段
/// 条件
/// 每页记录数
/// 当前页数
/// 总记录数
/// 排序字段
///
public static DataTable GetPageList(string TableName, string RetureFields, string strWhere, int PageSize, int CurPage, out int RowCount, string sortField)
{
SqlCommand cmd = new SqlCommand("AspNetPage");//存储过程名称
cmd.CommandType = CommandType.StoredProcedure;
cmd.Parameters.AddWithValue("@tblName", TableName);//表名称
cmd.Parameters.AddWithValue("@OrderFieldName", sortField);//排序索引字段名
cmd.Parameters.AddWithValue("@PageIndex", CurPage);//当前第几页,香港虚拟主机,页码
cmd.Parameters.AddWithValue("@PageSize", PageSize);//每页显示的数据条数
cmd.Parameters.AddWithValue("@SelectFieldName", RetureFields);//要显示的字段名(不要加Select)
cmd.Parameters.AddWithValue("@OrderType", 1);//设置排序类型,非0值则降序
cmd.Parameters.AddWithValue("@strWhere", strWhere);//查询条件,不要加where
cmd.Parameters.Add(new SqlParameter("@iRowCount", SqlDbType.Int));
cmd.Parameters["@iRowCount"].Direction = ParameterDirection.Output;
DataTable dt = RunProcedureCmd(cmd);
RowCount = Convert.ToInt32(cmd.Parameters["@iRowCount"].Value.ToString());//返回的总页数
return dt;
}
///
/// 执行存储过程,返回DataTable
///
///
///
public static DataTable RunProcedureCmd(SqlCommand cmd)
{
DataTable result = new DataTable();
SqlConnection conn = new SqlConnection(ConnectionString);//你自己的链接字符串
try
{
if ((conn.State == ConnectionState.Closed))
{
conn.Open();
}
cmd.Connection = conn;
WriteLog(cmd.CommandText);
SqlDataAdapter da = new SqlDataAdapter(cmd);
da.Fill(result);
da.Dispose();
conn.Close();
conn.Dispose();
return result;
}
catch (Exception ex)
{
conn.Close();
conn.Dispose();
throw ex;
}
}
OK搞定,勿喷!

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

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In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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