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

Loading data into memory—Recordset Destination


In this recipe, the use of the Recordset Destination component is demonstrated. Although not often used, it could help to fix specific real-world issues. This destination component does not save data to an external data source. Instead, it saves data into a memory ADO recordset through a SSIS object data type variable. This data is stored temporarily during the package execution and prepared inside a Data Flow. In other words, data is extracted and transformed along the Data Flow and inserted into the memory through the Recordset Destination which is to be used in another Data Flow or event in the Control Flow. Usually this component is used in conjunction with the Foreach loop task located in the Control Flow to loop through each record and act on each. This component follows the same logic of the remaining destination components that gets it metadata at design time from the source. Therefore, it is not possible to create it at runtime.

Getting...