C#批量增量更新数据

方法一：建立临时表进行数据更新和插入

Step1 创建临时表

/// 

/// 创建临时表存储当前需要提交的数据
/// 
/// 数据库连接字符串
/// 当前更新导入的表名
/// 
public static string CreateTempTable(string databaseConnectionString, string tableName)
{
    string tempTableName = string.Empty;
    string sql = string.Empty;
    //创建临时表存储当前需要提交的数据
    for (int i = 0; i < 20; i++)  //只是设定一个临时表的序号，如果是多台主机导入同一个数据库的时候，在数据库中可能会创建同名的临时表
    {
        sql = string.Format("SELECT * INTO {0} FROM {1} where 1=2", tableName + "_TEMP" + i, tableName);
        try
        {
            ExecuteQuery(sql, databaseConnectionString);
            tempTableName = tableName + "_TEMP" + i;
            break;
        }
        catch //如果在创建当前的临时表的过程中发生了错误，如当前临时表已经存在或者被占用，则继续通过 序号i去创建下一张临时表，直到创建成功为止
        {
            continue;
        }
    }
    return tempTableName;
}

Step2 临时表和数据库数据进行对比，提取数据库表中不存在的数据,然后插入当前数据库表中不存在的数据

/// 

/// 将临时表和当前需要更新的表的数据进行对比，根据表内的唯一标识提取出在当前表中不存在的数据，然后批量插入新增的数据
/// 
/// 数据库连接字符串
/// /// 更新需要提交数据的datatable
/// 当前更新导入的表名
/// 临时表表名
/// 
public static string GetUpdateData(string databaseConnectionString, DataTable dt, string tableName, string tempTableName)
{
    string errMess = string.Empty;
    try
    {
        string sql = string.Empty;
        string found = string.Empty;
        List<string> keyList = new List<string>();
        //提取需要批量插入的数据的唯一标识列表
        sql = string.Format("select key from {0}  except select key from {1}", tempTableName, tableName);
        found = string.Format("key= '{0}'", "@key");  //生成在当前的datatable查找的语句，key为查找的关键字，当前使用@key来代替所需的关键字
        #region 批量插入数据库中不存在的数据

        keyList = new List<string>();  //用于存储当前查询的唯一标识中在临时表中存在而在数据库表中不存在的数据列表
        keyList = GetSqlAsString(sql, null, databaseConnectionString);
        DataTable appendData = dt.Clone();
        for (int i = 0; i < keyList.Count; i++)
        {
            DataRow[] dr = dt.Select(found.Replace("@key", keyList[i]));
            foreach (var row in dr)
            {
                appendData.ImportRow(row);
            }
        }
        SqlBulkCopyByDatatable(databaseConnectionString, tableName, appendData);
        #endregion
        return errMess;
    }
    catch (Exception ex)
    {
        errMess = ex.Message;
        return errMess;
    }
}

Step3 根据临时表更新当前导入表的数据

/// 

/// 根据临时表更新当前导入表的数据
/// 
/// 数据库连接字符串
/// 当前更新导入的表名
/// 临时表表名
/// 
public static string UpdateTableData(string databaseConnectionString, string tableName, string tempTableName)
{
    string errMess = string.Empty;
    try
    {
        var filedList = GetFileds(databaseConnectionString, tableName);  //获取当前操作表的字段信息
        StringBuilder sql = new StringBuilder();  //构造更新当前表的所有字段的数据信息的更新语句
        sql.Append(string.Format("update {0} set ", tableName));
        foreach (var filed in filedList)
        {
            sql.Append(string.Format("{0} = {1}.{2},", filed, tempTableName, filed));
        }
        sql.Append("@");
        sql.Replace(",@", " ");
        sql.Append(string.Format("from {0} where tableName.key= {1}.key", tempTableName, tempTableName));  //利用唯一标识更新数据
        ExecuteQuery(sql.ToString(), databaseConnectionString);
        return errMess;
    }
    catch (Exception ex)
    {
        errMess = ex.Message;
        return errMess;
    }
}

Step4 删除临时表

/// 

/// 删除临时表
/// 
/// 数据库连接字符串
/// 需要删除的临时表表名
/// 
public static string DropTempTable(string databaseConnectionString, string tempTableName)
{
    string errMess = string.Empty;
    try
    {
        string sql = string.Empty;
        sql = string.Format("drop table {0}", tempTableName);
        ExecuteQuery(sql, databaseConnectionString);
        return errMess;
    }
    catch (Exception ex)
    {
        errMess = ex.Message;
        return errMess;
    }
}

附：在增量更新中用到的方法

/// 

/// 获取当前操作表的所有字段名
/// 
/// 数据库连接字符串
/// 当前操作的表名
/// 
private static List<string> GetFileds(string databaseConnectionString, string tableName)
{
    List<string> _Fields = new List<string>();
    SqlConnection _Connection = new SqlConnection(databaseConnectionString);
    try
    {
        _Connection.Open();
        string key = GetTableKey(databaseConnectionString, tableName);
        string[] restrictionValues = new string[4];
        restrictionValues[0] = null; // Catalog
        restrictionValues[1] = null; // Owner
        restrictionValues[2] = tableName; // Table
        restrictionValues[3] = null; // Column

        using (DataTable dt = _Connection.GetSchema(SqlClientMetaDataCollectionNames.Columns, restrictionValues))
        {
            foreach (DataRow dr in dt.Rows)
            {
                var filedName = dr["column_name"].ToString();
                if (!filedName.Equals(key))  //不将当前表的主键添加进去
                    _Fields.Add(filedName);
            }
        }
    }
    catch (Exception ex)
    {
        throw ex;
    }
    finally
    {
        _Connection.Dispose();
    }
    return _Fields;
}

/// 

/// 根据表名获取主键字段
/// 
/// 数据库连接字符串
/// 表名
/// 主键字段
public static string GetTableKey(string databaseConnectionString, string TableName)
{
    try
    {
        if (TableName == "")
            return null;
        StringBuilder sb = new StringBuilder();
        sb.Append("SELECT COLUMN_NAME ");
        sb.Append("FROM INFORMATION_SCHEMA.KEY_COLUMN_USAGE ");
        sb.Append("WHERE TABLE_NAME=");
        sb.Append("'" + TableName + "'");
        string key = string.Empty;
        var keyList = GetSqlAsString(sb.ToString(), null, databaseConnectionString);
        if (keyList.Count > 0)
            key = keyList[0];
        return key;
    }
    catch
    {
        return null;
    }
}


/// 

/// 数据批量插入方法
/// 
/// 目标连接字符
/// 目标表
/// 源数据
public static void SqlBulkCopyByDatatable(string connectionString, string TableName, DataTable dt)
{
    using (var conn = new SqlConnection(connectionString))
    using (var sqlbulkcopy = new SqlBulkCopy(connectionString, SqlBulkCopyOptions.UseInternalTransaction))
    {
        try
        {
            sqlbulkcopy.BulkCopyTimeout = 600;
            sqlbulkcopy.DestinationTableName = TableName;
            for (int i = 0; i < dt.Columns.Count; i++)
            {
                sqlbulkcopy.ColumnMappings.Add(dt.Columns[i].ColumnName, dt.Columns[i].ColumnName);
            }
            sqlbulkcopy.WriteToServer(dt);
        }
        catch (System.Exception ex)
        {
            throw ex;
        }
    }
}

/// 

/// 以字符串列表的方式返回查询的结果集
/// 
/// 查询语句
/// 事物
/// 数据库连接字符串
/// 
static public List<string> GetSqlAsString(string sqlText, SqlParameter[] sqlParameters, string databaseConnectionString)
{
    List<string> result = new List<string>();
    SqlDataReader reader;
    SqlConnection connection = new SqlConnection(databaseConnectionString);
    using (connection)
    {
        SqlCommand sqlcommand = connection.CreateCommand();
        sqlcommand.CommandText = sqlText;
        if (sqlParameters != null)
        {
            sqlcommand.Parameters.AddRange(sqlParameters);
        }
        connection.Open();
        reader = sqlcommand.ExecuteReader();
        if (reader != null)
        {
            while (reader.Read())
            {
                var re = reader.GetString(0);
                if (!string.IsNullOrEmpty(re))
                    result.Add(re);
            }
        }
    }
    return result;
}

/// 

/// 执行查询结果
/// 
/// 执行语句
/// 数据库连接字符串
public static void ExecuteQuery(string sql, string databaseConnectionString)
{
    SqlConnection conn = new SqlConnection(databaseConnectionString);
    SqlCommand cmd = new SqlCommand(sql, conn);
    conn.Open();
    cmd.ExecuteNonQuery();
    conn.Close();
}

主体方法调用：

/// 

/// 增量更新
/// 
/// 更新数据表datatable形式
/// 更新的数据库表名
/// 
protected string UpdateExistData(DataTable dt, string tableName)
{
    string databaseConnectionString = string.Empty;
    databaseConnectionString = "server=GLASSESONION;uid=sa;pwd=;database=TJPTTC"; //初始化数据库连接字符串
    string err = string.Empty;
    string tempTableName = string.Empty;
    //创建临时表
    tempTableName = IncrementalUpdating.CreateTempTable(databaseConnectionString, tableName);
    //将当前数据导入到临时表中
    IncrementalUpdating.SqlBulkCopyByDatatable(databaseConnectionString, tempTableName, dt);
    //更新数据库，导入数据库中不存在的数据
    err += IncrementalUpdating.GetUpdateData(databaseConnectionString, dt, tableName, tempTableName);
    //更新数据库，更新当前数据库已经存在的数据
    err += IncrementalUpdating.UpdateTableData(databaseConnectionString, tableName, tempTableName);
    err += IncrementalUpdating.DropTempTable(databaseConnectionString, tempTableName);
    return err;
}

PS:批量导入7个多g的数据大约花费时间一分二十多秒，批量增量更新导入只比批量导入花费时间多了十几秒，速度很可观。

参考：http://www.mamicode.com/info-detail-2239128.html
https://www.cnblogs.com/two/p/5224656.html
https://blog.csdn.net/mxw_133/article/details/79321710

方法二：利用存储过程进行数据更新和插入

Step1:在数据库中建立存储过程

--声明数据库引用
use [databaseName];
go

--判断是否存在存储过程，如果存在则删除
if exists(select * from sys.procedures where name='updateData')
drop procedure updateData;
go

--创建存储过程
create procedure updateData
@p_Xml xml
as 
set nocount on 

begin 

with b as 
( 
select 
QueryExpression.Criteria.value('filed1[1]', 'nvarchar(255)') as filed1, 
QueryExpression.Criteria.value('filed2[1]', 'nvarchar(38)') as filed2, 
QueryExpression.Criteria.value('filed3[1]', 'nvarchar(14)') as filed3
from @p_Xml.nodes('/DocumentElement/Key') QueryExpression(Criteria) 
) 
-- Update 
merge into databaseName.dbo.tableName a
using b on a.keyed=b.keyed
when matched then
update 
set 
a.filed1=b.filed1,
a.filed2=b.filed2,
a.filed3=b.filed3
--INSERT
when not matched then
insert(filed1,filed2,filed3)
values(b.filed1,b.filed2,b.filed3);

end 
return @@error
go

Step 2 在代码中调用存储过程

/// 

/// 调用存储过程进行增量更新
/// 
/// 更新数据集 datatable形式
/// 数据库连接字符串
public static void AddFlagDescription(DataTable dt, string databaseConnectionString)
{
    try
    {
        SqlParameter[] paramArr = { new SqlParameter() { ParameterName = "@p_Xml", Value = ConvertDataTableToXML(dt) } };
        using (SqlConnection conn = new SqlConnection(databaseConnectionString))
        {
            conn.Open();
            using (SqlCommand cmd = conn.CreateCommand())
            {
                cmd.CommandType = CommandType.StoredProcedure;
                cmd.CommandText = "updateData";
                cmd.Parameters.AddRange(paramArr);
                cmd.ExecuteNonQuery();
            }
        }
    }
    catch (Exception ex)
    {
        throw ex;
    }
}
/// 

/// 传入需要更新数据集进行序列化
/// 
/// 返回序列化结果
/// 
public static string ConvertDataTableToXML(DataTable dtKeys)
{
    dtKeys.TableName = "Key";
    System.IO.StringWriter tw = new System.IO.StringWriter();
    dtKeys.WriteXml(tw);
    return tw.ToString();
}

PS:这种方法没有验证完全，因为之前做这个工作的时候需要导入Geometry类型的数据，存储过程中在进行这种数据类型插入数据的时候总是会出现不可预计的错误，所以才另寻它法，但是这种方式对于非空间数据的批量更新支持还是良好的。

参考：https://www.cnblogs.com/mibing/p/5853302.html