Contents
Why does SSIs fail when importing a flat file?
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.
Why do I get bad data in my SSIs package?
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.
How to learn error handling in SSIs package?
In the control flow area, add a data flow task and rename it as [Learn Error Handling]. Right-click on [Learn Error Handling] task and edit. It moves to data flow configuration page.
How to find flat file destination in SSIs?
The code page on Flat File Destination.Inputs [Flat File Destination Input].Columns [Number] is 65001 and is required to be 1252. Then I was doing google and I found very interesting and correct results from the below website: Here in the question, itself answer is given.
How do you create a package in SSIs?
The package that you create takes data from a flat file, reformats the data, and then inserts the reformatted data into a fact table. In following lessons, the package is expanded to demonstrate looping, package configurations, logging, and error flow.
What should I do if my SSIs package failed?
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.
What can SSIs error output do for You?
Using this design will allow you to handle errors such as: SSIS error outputs provide a great way to handle two things at once: providing a secondary path through which bad data can be either sent to a triage table or cleaned up, and preventing the package from failing based on just a few bad rows of data.