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Learn PostgreSQL

You're reading from   Learn PostgreSQL Build and manage high-performance database solutions using PostgreSQL 12 and 13

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781838985288
Length 650 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
Luca Ferrari Luca Ferrari
Author Profile Icon Luca Ferrari
Luca Ferrari
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Toc

Table of Contents (27) Chapters Close

Preface 1. Section 1: Getting Started
2. Introduction to PostgreSQL FREE CHAPTER 3. Getting to Know Your Cluster 4. Managing Users and Connections 5. Section 2: Interacting with the Database
6. Basic Statements 7. Advanced Statements 8. Window Functions 9. Server-Side Programming 10. Triggers and Rules 11. Partitioning 12. Section 3: Administering the Cluster
13. Users, Roles, and Database Security 14. Transactions, MVCC, WALs, and Checkpoints 15. Extending the Database - the Extension Ecosystem 16. Indexes and Performance Optimization 17. Logging and Auditing 18. Backup and Restore 19. Configuration and Monitoring 20. Section 4: Replication
21. Physical Replication 22. Logical Replication 23. Section 5: The PostegreSQL Ecosystem
24. Useful Tools and Extensions 25. Toward PostgreSQL 13 26. Other Books You May Enjoy

Exploring the pg_trgm extension

In previous chapters, we talked about query optimization and indexing. When we talked about indexing, we learned how to make our queries faster through the use of indices. However, B-tree indices do not index all types of operations. Now let's consider textual data types (char, varchar, or text). We have seen that the B-tree, using the varchar_pattern_ops opclass, is able to index like operations only as regards the 'search%' type queries, but it is not able to index queries with a where condition of the '%search' or 'search%' type:

  1. Before diving into our example, let's do set enable_seqscan to 'off' in order to force PostgreSQL to use any index if it exists. We need to do this because, in our example case, PostgreSQL would always use sequential scanning, because we have less data in our table and all data that is present in the table is stored on a single page:
db_source=# set enable_seqscan to &apos...
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