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Learning PostgreSQL 10

You're reading from   Learning PostgreSQL 10 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Dec 2017
Publisher
ISBN-13 9781788392013
Length 488 pages
Edition 2nd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Salahaldin Juba Salahaldin Juba
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Salahaldin Juba
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Toc

Table of Contents (17) Chapters Close

Preface 1. Relational Databases FREE CHAPTER 2. PostgreSQL in Action 3. PostgreSQL Basic Building Blocks 4. PostgreSQL Advanced Building Blocks 5. SQL Language 6. Advanced Query Writing 7. Server-Side Programming with PL/pgSQL 8. OLAP and Data Warehousing 9. Beyond Conventional Data Types 10. Transactions and Concurrency Control 11. PostgreSQL Security 12. The PostgreSQL Catalog 13. Optimizing Database Performance 14. Testing 15. Using PostgreSQL in Python Applications 16. Scalability

Index-only scans


Indexes have already been described in Chapter 04, PostgreSQL Advanced Building Blocks. Simply speaking, indexes work like a glossary at the end of a book. When searching for a keyword in a book, to make it faster one can look it up in the glossary and then go to the page specified. The glossary is alphabetically organized; that's why searching in it is fast. However, when it is necessary just to find out if a keyword exists in the book, there is no need to go to the page. Just looking in the glossary is enough.

PostgreSQL can do the same. If all the information that is needed for a query is contained in the index, the database will not perform the scan on the table data and only use the index. This is called an index-only scan.

To demonstrate how it works, let's create an index for the table dwh.access_log_not_partitioned, as follows:

CREATE INDEX on dwh.access_log_not_partitioned (ts, status_code);

Now, suppose we want to find out when the first HTTP request that resulted...

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