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

Using event handlers and system variables for custom logging


The previous recipes described two different approaches to manage and control SSIS packages, projects, and executions. If everything works successfully, nothing more needs to be done, but if something goes wrong with data or more information is required, maybe another step should be taken, which could be from simple to very complicated. Imagine the case if some record fails a lookup or even an unexpected error arises. The previous logging information is enough to detect the data quality problem, but may not be enough to troubleshoot and identify the origin of the problem. There are several reasons that custom logging can be applied:

  • Accessing error records could be needed

  • Default logging information is too much or too little (independently of the deployment approach followed)

  • SSIS administrators may be interested to take control of SSIS packages through SSIS frameworks they manually created before

  • There may be a need to create custom...