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Mastering PostgreSQL 15

Mastering PostgreSQL 15

By : Hans-Jürgen Schönig
4.9 (7)
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Mastering PostgreSQL 15

Mastering PostgreSQL 15

4.9 (7)
By: Hans-Jürgen Schönig

Overview of this book

Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system. You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you’ll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases. By the end of this PostgreSQL book, you’ll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.
Table of Contents (16 chapters)
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Achieving better answers with fuzzy searching

Performing precise searching is not the only thing expected by users these days. Modern websites have taught users to always expect a result, regardless of their input. If you search on Google, there will always be an answer, even if the user input is wrong, full of typos, or simply pointless. People expect good results, regardless of the input data.

Taking advantage of pg_trgm

To do fuzzy searching with PostgreSQL, you can add the pg_trgm extension. To activate this extension, just run the following command:

test=# CREATE EXTENSION pg_trgm;
CREATE EXTENSION

The pg_trgm extension is pretty powerful, and to show you what it is capable of, I have compiled some sample data consisting of 2,354 names of villages and cities here in Austria.

Our sample data can be stored in a simple table:

test=# CREATE TABLE t_location (name text);
CREATE TABLE

My company website has all the data available, and PostgreSQL allows you to load...

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