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

Creating a secondary index to improve performance


What if you need an index other than a primary index? You can only have one primary index on a table, but what if you have a requirement to have multiple indexes on a table? Teradata gives you the secondary index (SI) to satisfy that requirement. You can use a primary index for distribution and access, but to have a secondary access path, you can use SI:

CREATE UNIQUE INDEX (Coulumn_Name) on TABLE_NAME; -- UNIQUE INDEX, USI
CREATE INDEX (Coulumn_Name) on TABLE_NAME; -- NON UNIQUE INDEX, NUSI

Secondary indexes supply alternate access paths. As we know, primary indexes are used for the distribution of rows, and sometimes, to reduce the skewness of tables, we might need to choose columns based on even distribution instead of selectivity. So, to rescue and provide the alternative approach, Teradata has a feature known as the secondary index.

This increases performance. For best results, base secondary indexes on frequently used set selections and...