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 hash index to improve performance


Hash indexes are designed to improve query performance like join indexes, especially single table join indexes, and in addition, they enable you to avoid accessing the base table. The syntax for the hash index is as follows:

/*Hash index syntax*/
CREATE HASH INDEX <hash-index-name>
[, <fallback-option>]
(<column-name-list1>) ON <base-table>
[BY (<partition-column-name-list2>)]
[ORDER BY <index-sort-spec>] ;

The partition column name list acts as the primary index for the hash index. This is comparable to having a secondary index defined as the partition column name list, but having additional data columns defined together with the index columns. The hash index is similar to a NUSI, in that it allows referring back to the primary data row. The hash index has the additional capability of doing index covering where a query can be satisfied by the columns of the hash index, plus the capability of doing partial index...