Book Image

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Book Image

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Overview of this book

SQL Server Integration Services (SSIS) is a leading tool in the data warehouse industry - used for performing extraction, transformation, and load operations. This book is aligned with the most common methodology associated with SSIS known as Extract Transform and Load (ETL); ETL is responsible for the extraction of data from several sources, their cleansing, customization, and loading into a central repository normally called Data Warehouse or Data Mart.Microsoft SQL Server 2012 Integration Services: An Expert Cookbook covers all the aspects of SSIS 2012 with lots of real-world scenarios to help readers understand usages of SSIS in every environment. Written by two SQL Server MVPs who have in-depth knowledge of SSIS having worked with it for many years.This book starts by creating simple data transfer packages with wizards and illustrates how to create more complex data transfer packages, troubleshoot packages, make robust SSIS packages, and how to boost the performance of data consolidation with SSIS. It then covers data flow transformations and advanced transformations for data cleansing, fuzzy and term extraction in detail. The book then dives deep into making a dynamic package with the help of expressions and variables, and performance tuning and consideration.
Table of Contents (23 chapters)
Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Handling errors in Data Flow


Data Flow is the most important and useful part of SSIS packages. Data will transfer there, and if errors occur, there should be an error catching method. The importance of such error catching feature is mostly due to the fact that data flows will transfer millions of data rows in nightly schedule, and maybe re-producing an error which occurred at night can't be possible for a second time.

Fortunately SSIS Data Flow uses a powerful error catching mechanism which will act on every data row on most of the transformations, sources, and destinations. When a transformation hits an error on one or more specific data rows, those rows will be caught and we can develop scenarios on how to deal with those rows.

Most of the sources, transformations, and destinations in Data Flow have an Error Output. Data rows which cause error can be redirected in the error output.

In this recipe, we will use a simple ETL scenario. A flat file data row is inserted into a database table, the...