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Mastering PostgreSQL 13

You're reading from   Mastering PostgreSQL 13 Build, administer, and maintain database applications efficiently with PostgreSQL 13

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800567498
Length 476 pages
Edition 4th Edition
Languages
Concepts
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Author (1):
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Hans-Jürgen Schönig Hans-Jürgen Schönig
Author Profile Icon Hans-Jürgen Schönig
Hans-Jürgen Schönig
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Table of Contents (15) Chapters Close

Preface 1. PostgreSQL 13 Overview 2. Understanding Transactions and Locking FREE CHAPTER 3. Making Use of Indexes 4. Handling Advanced SQL 5. Log Files and System Statistics 6. Optimizing Queries for Good Performance 7. Writing Stored Procedures 8. Managing PostgreSQL Security 9. Handling Backup and Recovery 10. Making Sense of Backups and Replication 11. Deciding on Useful Extensions 12. Troubleshooting PostgreSQL 13. Migrating to PostgreSQL 14. Other Books You May Enjoy

Understanding full-text search

If you are looking up names or looking for simple strings, you are usually querying the entire content of a field. In full-text search, this is different. The purpose of the full-text search is to look for words or groups of words that can be found in a text. Therefore, full-text search is more of a contains operation, as you are basically never looking for an exact string.

In PostgreSQL, full-text search can be done using GIN indexes. The idea is to dissect a text, extract valuable lexemes (= "preprocessed tokens of words") string, and index those elements rather than the underlying text. To make your search even more successful, those words are preprocessed.

Here is an example:

test=# SELECT to_tsvector('english', 
'A car, I want a car. I would not even mind
having many cars');
to_tsvector
---------------------------------------------------------...
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