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Teradata Cookbook

You're reading from   Teradata Cookbook Over 85 recipes to implement efficient data warehousing solutions

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787280786
Length 454 pages
Edition 1st Edition
Languages
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Authors (3):
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 Khandelwal Khandelwal
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Khandelwal
 Kasi Kasi
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Kasi
 Bhamidipati Bhamidipati
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Bhamidipati
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Toc

Table of Contents (19) Chapters Close

Title Page
Dedication
Packt Upsell
Contributors
Preface
1. Installation FREE CHAPTER 2. SQLs 3. Advanced SQL with Backup and Restore 4. All about Indexes 5. Mixing Strategies – Joining of Tables 6. Building Loading Utility – Replication and Loading 7. Monitoring the better way 8. Collect Statistics the Better Way 9. Application and OPS DBA Insight 10. DBA Insight 11. Performance Tuning 12. Troubleshooting 1. Other Books You May Enjoy Index

Generating a unique row number


Teradata Database distributes rows to AMPs based on the hash values generated by the hash map algorithm. This data distribution algorithm is easy and efficient. The primary index of the table defines where the data will reside in which AMP. The uniqueness of this primary index becomes very important when distributing rows to AMPs.

If data is skewed, meaning residing on one or few AMPs, a query using the index becomes slow in processing and also causes space issues in the database:

 

This uniqueness of rows can be generated using the following methods:

  • Based on original data
  • ETL process, outside Teradata

The third method that we will be using is the identity column. The identity column feature allows for generating unique numbers for each row and inserting values into a column defined in the table. It is like generating sequence numbers automatically, which helps in preserving the uniqueness of the table.

Getting ready

You need to connect to Teradata Database using...

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