Tag: SSIS

Edit script in SSIS is not working

This started today. The edit script stopped working in VS 2017. Here is the work around;

The issue may occur because the Script Task is not installed properly.

VS 2017 solution

Here are two options that might help;

Option # 1

Open control panel and try to repair “Microsoft Visual Studio Tools for Applications 2017”.

This options has helped me after upgrading VS SSDT 2017 recently. The funny things is that you don’t need to repair “Microsoft SQL Server Data Tools for Visual Studio 2017 (SSDT). Anyway it worked.

Option # 2

Please check whether the Microsoft.SqlServer.ScriptTask.dll file exists in the following folders (supposing it is a 64-bit platform):

  1. C:\Program Files\Microsoft SQL Server\110\DTS\Tasks
  2. C:\Program Files (x86)\Microsoft SQL Server\110\DTS\Tasks
  3. C:\Windows\Microsoft.NET\assembly\GAC_MSIL\Microsoft.SqlServer.ScriptTask\v4.0_11.0.0.0__89845dcd8080cc91

If the Microsoft.SqlServer.ScriptTask.dll file is missing in any of the folders, copy one (from the other folders or a different working SSIS server) to the folder. Alternatively, you can also use the command line tool gacutil.exe to install the task assembly into the global assembly cache (GAC)

If above work around does not work, then do this;

Uninstall SSDT from your machine

Reboot the machine so that no cache issue

Reinstall SSDT with the option Install new SQL Server Data Tools for Visual Studio 2017 instance (SSDT), like below. Do not install in your existing Visual Studio instance again.

VS 2019 Solution

Download and Install this patch from Microsoft;

https://www.microsoft.com/en-us/download/details.aspx?id=58317

Here is the reference to this download;

https://docs.microsoft.com/en-us/answers/questions/303968/visual-studio-2019-1690-ssis-script-task-vsta-wont.html

Hope this will help.

Difference between SSIS, Azure Data Factory and Azure Data Bricks

For Data Engineering workloads within Microsoft landscape, there are multiple options to carry out Data Engineering tasks to extract data from myriad of data sources. Currently three options are available:

  • SQL Server Integration Services (SSIS): It is part of Microsoft SQL Server Suite and SSIS is a very well-known popular ETL tool for Data Integration along with rich built in transformations. Introduced in 2005. Mainly for on-premises. Now you can run on-premise as well. Aggregations, splits and joins.
  • Azure Data Factory (ADF): Unlike SSIS, ADF is a ELT tool along with Data Orchestration tool to build pipelines to move data across different layers. From on-Premise to Cloud and within Cloud landscape. Movement and Orchestration but not Transformations.
    • Data movement & Orchestration
    • Extract, Load & Transform
    • Transformation activities.

People familiar with SSIS can use it and existing SSIS packages can also be migrated.

Azure Data Bricks: Azure Data Bricks is latest entry into this for Data engineering and Data Science workloads, unlike SSIS and ADF which are more of Extract Transform Load (ETL), Extract Load Transform (ELT) and data Orchestration tools, Azure data bricks can handle data Engineering and data science workloads.

In a nutshell, although you can compare and contrast these tools, they actually compliment each other. For example you can call existing SSIS packages using Azure Data Factory and trigger Azure data bricks notebooks using Azure Data Factory.