提高SSIS包将数据从Excel转储到SQL Server表的性能
提高SSIS包将数据从Excel转储到SQL Server表的性能
提问于 2014-03-11 22:45:19
我已经创建了一个SSIS包，它将数据从Excel文件转储到SQL Server表。包只有两个任务:脚本组件任务和OLE DB目标
下面是我在脚本任务中添加的代码：
/* Microsoft SQL Server Integration Services Script Component
* Write scripts using Microsoft Visual C# 2008.
* ScriptMain is the entry point class of the script.*/
using System;
using System.Data;
using Microsoft.SqlServer.Dts.Pipeline.Wrapper;
using Microsoft.SqlServer.Dts.Runtime.Wrapper;
using System.IO;
using System.Data.OleDb;
using System.Xml;
[Microsoft.SqlServer.Dts.Pipeline.SSISScriptComponentEntryPointAttribute]
public class ScriptMain : UserComponent
{
private OleDbDataReader excelReader;
private OleDbConnection excelConnection;
private OleDbCommand excelCommand;
DataTable tablesInFile;
string currentTable;
public override void PreExecute()
{
base.PreExecute();
GetDataFromExcelToReader(Variables.FilePath);
}
public override void PostExecute()
{
base.PostExecute();
excelReader.Close();
excelConnection.Close();
}
//private void GetDataFromExcelToReader(string p_strFileName, string p_strTabName)
private void GetDataFromExcelToReader(string p_strFileName)
{
string l_strConnectionString;
if (File.Exists(p_strFileName))
{
l_strConnectionString = "Provider=Microsoft.ACE.OLEDB.12.0;" +
"Data Source=" + p_strFileName + ";Extended Properties=\"Excel 12.0;HDR=YES;IMEX=1\";";
excelConnection = new OleDbConnection(l_strConnectionString);
excelConnection.Open();
tablesInFile = excelConnection.GetSchema("Tables");
foreach (DataRow tableInFile in tablesInFile.Rows)
{
currentTable = tableInFile["TABLE_NAME"].ToString();
break;
}
excelCommand = excelConnection.CreateCommand();
//excelCommand.CommandText = "SELECT * FROM [" + p_strTabName + "A1:AX1048576]";
excelCommand.CommandText = "SELECT * FROM [" + currentTable + "]";
excelCommand.CommandType = CommandType.Text;
excelReader = excelCommand.ExecuteReader();
}
}
public override void CreateNewOutputRows()
{
int counter = 0;
while (excelReader.Read())
{
Output0Buffer.AddRow();
Output0Buffer.Source = Variables.Source.ToString();
Output0Buffer.Column = excelReader.FieldCount > 0 ? excelReader[0].ToString() : null;
Output0Buffer.Column1 = excelReader.FieldCount > 1 ? excelReader[1].ToString() : null;
Output0Buffer.Column2 = excelReader.FieldCount > 2 ? excelReader[2].ToString() : null;
Output0Buffer.Column3 = excelReader.FieldCount > 3 ? excelReader[3].ToString() : null;
Output0Buffer.Column4 = excelReader.FieldCount > 4 ? excelReader[4].ToString() : null;
Output0Buffer.Column5 = excelReader.FieldCount > 5 ? excelReader[5].ToString() : null;
Output0Buffer.Column6 = excelReader.FieldCount > 6 ? excelReader[6].ToString() : null;
Output0Buffer.Column7 = excelReader.FieldCount > 7 ? excelReader[7].ToString() : null;
Output0Buffer.Column8 = excelReader.FieldCount > 8 ? excelReader[8].ToString() : null;
Output0Buffer.Column9 = excelReader.FieldCount > 9 ? excelReader[9].ToString() : null;
Output0Buffer.Column10 = excelReader.FieldCount > 10 ? excelReader[10].ToString() : null;
Output0Buffer.Column11 = excelReader.FieldCount > 11 ? excelReader[11].ToString() : null;
Output0Buffer.Column12 = excelReader.FieldCount > 12 ? excelReader[12].ToString() : null;
Output0Buffer.Column13 = excelReader.FieldCount > 13 ? excelReader[13].ToString() : null;
Output0Buffer.Column14 = excelReader.FieldCount > 14 ? excelReader[14].ToString() : null;
Output0Buffer.Column15 = excelReader.FieldCount > 15 ? excelReader[15].ToString() : null;
Output0Buffer.Column16 = excelReader.FieldCount > 16 ? excelReader[16].ToString() : null;
Output0Buffer.Column17 = excelReader.FieldCount > 17 ? excelReader[17].ToString() : null;
Output0Buffer.Column18 = excelReader.FieldCount > 18 ? excelReader[18].ToString() : null;
Output0Buffer.Column19 = excelReader.FieldCount > 19 ? excelReader[19].ToString() : null;
Output0Buffer.Column20 = excelReader.FieldCount > 20 ? excelReader[20].ToString() : null;
Output0Buffer.Column21 = excelReader.FieldCount > 21 ? excelReader[21].ToString() : null;
Output0Buffer.Column22 = excelReader.FieldCount > 22 ? excelReader[22].ToString() : null;
Output0Buffer.Column23 = excelReader.FieldCount > 23 ? excelReader[23].ToString() : null;
Output0Buffer.Column24 = excelReader.FieldCount > 24 ? excelReader[24].ToString() : null;
Output0Buffer.Column25 = excelReader.FieldCount > 25 ? excelReader[25].ToString() : null;
Output0Buffer.Column26 = excelReader.FieldCount > 26 ? excelReader[26].ToString() : null;
Output0Buffer.Column27 = excelReader.FieldCount > 27 ? excelReader[27].ToString() : null;
Output0Buffer.Column28 = excelReader.FieldCount > 28 ? excelReader[28].ToString() : null;
Output0Buffer.Column29 = excelReader.FieldCount > 29 ? excelReader[29].ToString() : null;
Output0Buffer.Column30 = excelReader.FieldCount > 30 ? excelReader[30].ToString() : null;
Output0Buffer.Column31 = excelReader.FieldCount > 31 ? excelReader[31].ToString() : null;
Output0Buffer.Column32 = excelReader.FieldCount > 32 ? excelReader[32].ToString() : null;
Output0Buffer.Column33 = excelReader.FieldCount > 33 ? excelReader[33].ToString() : null;
Output0Buffer.Column34 = excelReader.FieldCount > 34 ? excelReader[34].ToString() : null;
Output0Buffer.Column35 = excelReader.FieldCount > 35 ? excelReader[35].ToString() : null;
Output0Buffer.Column36 = excelReader.FieldCount > 36 ? excelReader[36].ToString() : null;
Output0Buffer.Column37 = excelReader.FieldCount > 37 ? excelReader[37].ToString() : null;
Output0Buffer.Column38 = excelReader.FieldCount > 38 ? excelReader[38].ToString() : null;
Output0Buffer.Column39 = excelReader.FieldCount > 39 ? excelReader[39].ToString() : null;
Output0Buffer.Column40 = excelReader.FieldCount > 40 ? excelReader[40].ToString() : null;
Output0Buffer.Column41 = excelReader.FieldCount > 41 ? excelReader[41].ToString() : null;
Output0Buffer.Column42 = excelReader.FieldCount > 42 ? excelReader[42].ToString() : null;
Output0Buffer.Column43 = excelReader.FieldCount > 43 ? excelReader[43].ToString() : null;
Output0Buffer.Column44 = excelReader.FieldCount > 44 ? excelReader[44].ToString() : null;
Output0Buffer.Column45 = excelReader.FieldCount > 45 ? excelReader[45].ToString() : null;
Output0Buffer.Column46 = excelReader.FieldCount > 46 ? excelReader[46].ToString() : null;
Output0Buffer.Column47 = excelReader.FieldCount > 47 ? excelReader[47].ToString() : null;
Output0Buffer.Column48 = excelReader.FieldCount > 48 ? excelReader[48].ToString() : null;
Output0Buffer.Column49 = excelReader.FieldCount > 49 ? excelReader[49].ToString() : null;
}
}
}请找到在OLE DB目标任务中完成的配置的以下快照：
目前，如果我运行包含大约99000条记录的xlsx文件的软件包，它需要4分钟将数据转储到数据库中，这是相当大的。期望在几秒钟内完成这个过程。在这个包中，我如何在几秒钟内实现这一点。我的Excel文件将是动态的，可以包含最少1条记录到最多1.5 -2条lacs记录。
请帮帮忙。提前感谢！！
回答 2
Stack Overflow用户
发布于 2014-03-14 23:02:36
在OLE DB目标任务中进行更改符合我的目的，并且我能够显著提高性能。
通过调整几个属性，我使用了快速加载选项。现在，我可以在大约15秒内转储2laks记录。
Stack Overflow用户
发布于 2014-03-12 01:11:21
如果您正在寻找性能方面的观点，那么我建议您使用以下方法：
1)在数据库中创建一个完全相同的临时表，该临时表将在该过程完成后删除或截断。
2)将excel源中的记录插入到临时表中。
3)下一步，从临时表中获取记录并插入到目标表中。
注意:对于第一步，您可以在存储过程中拖动Execute SQL Task，也可以只拖动简单查询
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/22329134
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