Rajendra Gupta
add a flat file destination for the error data

An overview of Error Handling in SSIS packages

September 5, 2019 by

This article explains the process of configuring Error handling in SSIS package.


In the last article, Overview of SSIS Package Logging, we explored a method to log error in the package execution for different destination providers such as SQL table, XML and text files. The SSIS packages also known as Extract Transform Load (ETL) packages. Usually, we get data from different sources, and we integrate those data on a daily basis in SQL tables.

Suppose we get a flat file from a third party daily and that file contains millions of records. We designed an SSIS package to import that data, and it is running fine. Occasionally, we get bad data (invalid character, special character, invalid length or data type) in the flat files and package execution fails. It is a complicated task to identify which particular row caused this issue. We want our SSIS package to take care of this and do the followings:

  • The SSIS package should execute successfully if all data is in order
  • In case of any bad data, SSIS package should process all useful data, and bad data should be sent in a separate file. We can open the file later and see what the bad records it contains. It would help us to process the rest of data and do not fail the package

Practical scenarios for error handling requirement

Let’s understand this with the following example. We have a CSV file that contains sales records products. If you look at the following image, in the [Total Amount] column, it should have numeric value but records, it contains text format.

Sample Data

Create SSIS package for error handling

Firstly, we create a package for error handling in SSIS package and see what happens if we execute the package directly.

Let’s open the Visual Studio for data tools and create a new integration service project. In the control flow area, add a data flow task and rename it as [Learn Error Handling].

Add a Data Flow task

Right-click on [Learn Error Handling] task and edit. It moves to data flow configuration page. Add a Flat file destination.

add a flat file source

You can notice the three things in the below image:

  • Blue color arrow
  • Red color arrow
  • Red cross on Excel source

Red Cross on Flat file source shows that we need to configure before using it. We use it for error handling in SSIS package.

Double-click on flat file source and configure a new connection by providing the location of the source file.

It automatically takes the configuration such as text qualifier, header row delimiter, header rows to skip. Let’s go with the default values.

Flat File Connection manager editor

Click on a column to verify the data in the source text file and available columns.

View columns and their data for error handling in SSIS

In the Advanced page, we can change column properties such as column names, column delimiter, data type, output column width.

Advanced page to view all columns and their properties

We do not want to change any values at this point. Click OK, and it moves to data flow page.

Configured SSIS flat file source

In the next step, add a data conversion task from the SSIS toolbox. We use a data conversion task to change the data type of the source column as per our requirements.

Add a data conversion task

We do not see any red cross icon on the data conversion task, but still, it requires a configuration. Double-click on data conversion to open Data conversion transformation editor.

Select all source columns and change the data type as per the following list:

  • [Orderdate] data type should be string date[DT_DATE]
  • [Region],[Name],[items] data type should be string[DT_STR]
  • [Units] data type should be four-byte signed integer [DT_I4]
  • [Unit cost] and [Total amount] data type should be currency [DT_CY]

In the following screenshot, you can also see Output alias for each column. We can give a proper name for each column alias or ignore it.

Data conversion transformation editor

In the next step, add an OLE DB destination. This OLE DB destination will contain the table name in which we want to insert data.

add a destination table

Double click on destination table, and it opens the OLE DB destination editor.

OLE DB destination editor

We do not have an existing table; therefore, click on New to create a new table. It automatically gives the script for creating a new table.

Look at the script carefully; we have the columns with their original name and alias name. Remove the original columns from the script, rename the alias columns and specify a valid name (table name should be unique in a database). We do not remove the alias column because these columns contain the correct data type we require in the SQL table.

Create a new table to hold data

The updated script should look like the one below.

Remove unwanted columns and create table

Click OK, and it returns to OLE DB destination editor. In this window, verify the mapping between source and destination table.

OLE DB destination editor

In the above image, you can see the input and destination columns. You might think that mapping is correct, but we need to change the mapping. We use the data conversion operator, and it gives output column names starting with Copy*. We require these copy columns as input columns.

Select the columns from the drop-down list, and you see the following configuration.

change the mapping between input and destination columns

The overall SSIS package looks like the following image.

configured SSIS package with source, data conversion and destination table

Press F5 to execute the package and it fails at data conversion. We have not configured error handling in SSIS package as of now.

Failed SSIS package at data conversion with error handling in SSIS

Imagine a situation that the SSIS package failed in a SQL agent job and now you need to find out the reason. If you have a million records in the flat file, it is a complicated task to identify the problematic row and column. You might need to do a lot of manual tasks, in this case.

SSIS comes as a good friend in this case. We can configure an error output. For each task, we see two arrows, blue and red arrow:

  • Blue arrow works for successful operation. If the task is executed successfully, it moves the data to the next step
  • The red arrow is for the error handling in SSIS package, and we can redirect errors to required destinations

Data conversion editor

Drag a flat-file destination and join the red arrow with the flat file. It opens the following window to configure error output.

Configure error output

We can use all the columns list and error configurations for error handling in SSIS package. We have following configuration available.

Failed Component

If the data flow task fails, it fails the package. It is the default option.

Ignore failure

If we change the error mode to ignore failure, it ignores the error message and completes the execution. For example, in our case, it will ignore the rows with bad data and continue working with other rows. It does not throw any error message. We should not use it in the production environment.

Redirect rows

It is a useful configuration for this article. We can redirect the failed rows to a configured destination and view the bad data rows in that file. We can configure it for the truncation or the error message.

For this article, we want to configure for the error message only. Make the changes as per the following screenshot.

change error to rediect row

Click OK and configure the flat file destination by specifying the file location. This file will get the data redirected by the error handling in SSIS package.

The package configuration is complete, and it looks like the one below.

add a flat file destination for the error data

Execute the package now, and it shows successful now. In the following screenshot, you can note the following:

  • Destination table output got 15 rows out of 18 rows available in the source file
  • The flat file destination (error file) gets remaining three rows. The error handling in SSIS package redirects three rows to the flat file

package execution

In the sample data shown initially, we had three incorrect data rows. It matches with the output of error handling in SSIS package.

Let’s go to the flat file destination path and open the error file. We can see the bad data rows written into this file.

verify bad data rows in the flat file

It is easy for us to look at these wrong data rows and fix them. We do not need to go through all rows containing both good and bad data rows. The SSIS package execution also does not hamper, and it executes successfully with the good data rows.


Error handling in SSIS package the life of a DBA and developer more accessible by diverting the failed or wrong data rows to a separate destination. We can quickly troubleshoot the issues in failed packages. You should have these error handlings in SSIS package.

Rajendra Gupta
ETL, Integration Services (SSIS)

About Rajendra Gupta

As an MCSA certified and Microsoft Certified Trainer in Gurgaon, India, with 13 years of experience, Rajendra works for a variety of large companies focusing on performance optimization, monitoring, high availability, and disaster recovery strategies and implementation. He is the author of hundreds of authoritative articles on SQL Server, Azure, MySQL, Linux, Power BI, Performance tuning, AWS/Amazon RDS, Git, and related technologies that have been viewed by over 10m readers to date. He is the creator of one of the biggest free online collections of articles on a single topic, with his 50-part series on SQL Server Always On Availability Groups. Based on his contribution to the SQL Server community, he has been recognized with various awards including the prestigious “Best author of the year" continuously in 2020 and 2021 at SQLShack. Raj is always interested in new challenges so if you need consulting help on any subject covered in his writings, he can be reached at rajendra.gupta16@gmail.com View all posts by Rajendra Gupta