Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Learning PostgreSQL

You're reading from   Learning PostgreSQL Create, develop and manage relational databases in real world applications using PostgreSQL

Arrow left icon
Product type Paperback
Published in Nov 2015
Publisher Packt
ISBN-13 9781783989188
Length 464 pages
Edition 1st Edition
Arrow right icon
Authors (3):
Arrow left icon
 Juba Juba
Author Profile Icon Juba
Juba
Achim Vannahme Achim Vannahme
Author Profile Icon Achim Vannahme
Achim Vannahme
 Volkov Volkov
Author Profile Icon Volkov
Volkov
Arrow right icon
View More author details
Toc

Table of Contents (21) Chapters Close

Learning PostgreSQL
Credits
About the Authors
About the Reviewers
www.PacktPub.com
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. PostgreSQL Security 9. The PostgreSQL System Catalog and System Administration Functions 10. Optimizing Database Performance 11. Beyond Conventional Data types 12. Testing 13. PostgreSQL JDBC 14. PostgreSQL and Hibernate Index

Summary


In this chapter, indexes, views, functions, user-defined data types, and the rule and trigger systems have been discussed.

The view is a named query or a wrapper around a SELECT statement. It can be used as a data access layer, provides an abstraction level, and controls data privileges and permissions.

A view in PostgreSQL can be categorized as temporary, materialized, updatable, and recursive. Simple views in PostgreSQL are automatically updatable. To make the complex views updatable, one can use the rule and trigger systems.

Indexes are physical database objects defined on a table column, a set of columns, and expressions. Indexes are often used to optimize performance or to validate data.

There are several techniques for building indexes, including B-tree, hash, GIN, GiST, and BRIN. B-tree is the default indexing method. Hash indexes are not recommended, especially in the case of streaming replication. GIN and GiST are useful for indexing complex data types and for full-text searches...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime
Visually different images