SSIS Fast Load

Chris Taylor runs into an issue with the OLE DB Destination’s fast load option in Integration Services:

What I do want to bring to your attention is the differences between the two when it comes to redirecting error rows, specifically rows that are truncated. One of the beauties of SSIS is the ability to output rows that fail to import through the error pipeline and push them into an error table for example. With fast load there is a downside to this, the whole batch will be output even if there is only 1 row that fails, there are ways to handle this and a tried and tested method is to push those rows into another OLE DB Destination where you can run them either in smaller batches and keep getting smaller or simply push that batch to run in row-by-row to eventually output the 1 error you want. Take a look at Marco Schreuder’s blog for how this can be done.

One of the issues we have exerienced in the past is that any truncation of a column’s data in fast load will not force the package to fail. What? So a package can succeed when in fact the data itself could potentially not be complete!?! Yes this is certainly the case, lets take a quick look with an example.

Read on for details and potential workarounds.

Related Posts

Tips For Migrating SSISDB

Kenneth Fisher shares some thoughts on SSISDB: We’ve been doing a lot of upgrading recently and at one point had to move an instance from one 2016 server to another. In the process, we found out (the hard way) that it’s not that easy to move SSISDB (the SSIS Catalog that may or may not […]

Read More

Tracking Errors In Power BI

Reza Rad has a lengthy post covering how you can track errors in Power Query: To build a robust BI system, you need to cater for errors and handle errors carefully. If you build a reporting solution that the refresh of that fails everytime an error occurs, it is not a robust system. Errors can […]

Read More


November 2016
« Oct Dec »