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Extract & Save SQL Statements in Execute SQL Tasks using C#

This article explains how to extract and save SQL Statements in Execute SQL Tasks of an SSIS package using C# programming language.


I have been recently been tasked by my boss at work to extract the SQL Statements in an SSIS package that contained over 1400 Execute SQL Tasks steps. Consequently, I programmed a script task using C# that reads each SQL Task and save the SQL statement to a SQL Server 2008 table. In this article, I have created a similar script using the example I discussed in the article which can be found here
Okay, let’s begin.
Launch Visual Studio 2008 and create an Integration Services Project. After the default (new) package has launched, drag a script task to the control flow pane.
Right-click to edit the script task. In your Script Task Editor ensure that you have selected Microsoft Visual C# as your programming language.
At the bottom of your Script Task Editor, click “Edit Script”.
Add the following references:
using System;
using System.Data;
using System.Data.Sql;
using System.Data.SqlTypes;
using System.Data.SqlClient;
using Microsoft.SqlServer.Server;
using Microsoft.SqlServer.Dts.Tasks;
using Microsoft.SqlServer.Dts.Tasks.ExecuteSQLTask;
using Microsoft.SqlServer.Dts.Runtime;
using Microsoft.SqlServer.Dts.Pipeline.Wrapper;
using RuntimeWrapper = Microsoft.SqlServer.Dts.Runtime.Wrapper;
using System.IO;
Proceed to load the package (that contains the Execute SQL Tasks you would like to extract and save).
Application app = new Application();

Load package from SQL Server:
Package importPackage = app.LoadFromSqlServer(@”\\your_pkg_name”, “(local)”, null, null, null);

or load it from the Integrations Services Server:
Package importPackage = app.LoadFromDtsServer(@”File System\your_pkg_name”, “yourserver”, null);

or load it from a hard disk:
Package p = app.LoadPackage(“C:\\TEMP\\your_pkg_name.dtsx”, null);
Establish a connection to the SQL database where you will store the extracted SQL statements:
SqlConnection connectiont = new SqlConnection(
string.Format(“Data Source={0};Initial Catalog={1};Integrated Security=SSPI;”, “(local)”, “your_db”));
SqlCommand commandt;

string src_query2 = “”;
string src_query3 = “”;
string src_query = “”;
string sql_task_name = “”;

Loop through Execute SQL Tasks in the package:
foreach (Executable executable in importPackage.Executables)
DtsContainer Seq_container = (DtsContainer)executable;
if (executable.GetType().Name == “TaskHost”)
TaskHost loop = (TaskHost)executable;
ExecuteSQLTask sqlTask = (ExecuteSQLTask)loop.InnerObject;
src_query2 = sqlTask.SqlStatementSource;
src_query3 = src_query2.ToUpper();
src_query = src_query3;
sql_task_name = Seq_container.Name;

//split SQL query on keyword “GO”
string source = src_query;
string[] stringSeparators = new string[] { “GO” };
string[] result;

result = source.Split(stringSeparators, StringSplitOptions.None);
//for each extracted and split statement, insert it into a table
for each (strings in the result)
commandt = new SqlCommand(“INSERT INTO Your_tb VALUES”(@SRC_Q,@SQL_NAME)”,
commandt.Parameters.Add(new SqlParameter(“@SRC_Q”,s));
Dts.TaskResult = (int)ScriptResults.Success;

It’s that simple!
You can now execute your script task and the Execute SQL Tasks statements will be extracted and saved into your table.



October 14, 2022
Sifiso is Data Architect and Technical Lead at SELECT SIFISO – a technology consulting firm focusing on cloud migrations, data ingestion, DevOps, reporting and analytics. Sifiso has over 15 years of across private and public business sectors, helping businesses implement Microsoft, AWS and open-source technology solutions. He is the member of the Johannesburg SQL User Group and also hold a Master’s Degree in MCom IT Management from the University of Johannesburg.

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