Book Image

Teradata Cookbook

By : Abhinav Khandelwal, Viswanath Kasi, Rajsekhar Bhamidipati
Book Image

Teradata Cookbook

By: Abhinav Khandelwal, Viswanath Kasi, Rajsekhar Bhamidipati

Overview of this book

Teradata is an enterprise software company that develops and sells its eponymous relational database management system (RDBMS), which is considered to be a leading data warehousing solutions and provides data management solutions for analytics. This book will help you get all the practical information you need for the creation and implementation of your data warehousing solution using Teradata. The book begins with recipes on quickly setting up a development environment so you can work with different types of data structuring and manipulation function. You will tackle all problems related to efficient querying, stored procedure searching, and navigation techniques. Additionally, you’ll master various administrative tasks such as user and security management, workload management, high availability, performance tuning, and monitoring. This book is designed to take you through the best practices of performing the real daily tasks of a Teradata DBA, and will help you tackle any problem you might encounter in the process.
Table of Contents (19 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Performing MERGE INTO


MERGE statements can be used as an alternative to update statements. Updating rows is a CPU and I/O intensive operation, and, if you are updating PI on a big table which does not have a partition column, then updating columns becomes a challenge.

Getting ready

To complete this recipe you need to connect to the Teradata database and open SQLA.

How to do it...

  1. Create a source table with the following definition and containing a million rows:
CREATE volatile TABLE MergingTable_Source (
ID DECIMAL(18,0),
END_DT DATE,
SOLD_AMT int
)
UNIQUE PRIMARY INDEX (ID) on commit preserve rows;
  1. Create a target table with the following DDL:
CREATE volatile TABLE MergingTable_Target ( 
ID DECIMAL(18,0),
END_DT DATE,
SOLD_AMT int
)
UNIQUE PRIMARY INDEX (ID);
  1. We will insert in the following MergingTable_Target table if the ID from MergingTable_Source does not exist. And if it does, we will update the END_DT and SOLD_AMT columns:
MERGE INTO MergingTable_Target t
USING MergingTable_Source       s...