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  • Book Overview & Buying Mastering PostgreSQL 17
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Mastering PostgreSQL 17

Mastering PostgreSQL 17 - Sixth Edition

By : Hans-Jürgen Schönig
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Mastering PostgreSQL 17

Mastering PostgreSQL 17

1 (1)
By: Hans-Jürgen Schönig

Overview of this book

Starting with new features introduced in PostgreSQL 17, the sixth edition of this book provides comprehensive insights into advanced database management, helping you elevate your PostgreSQL skills to an expert level. Written by Hans-Jürgen Schönig, a PostgreSQL expert with over 25 years of experience and the CEO of CYBERTEC PostgreSQL International GmbH, this guide distills real-world expertise from supporting countless global customers. It guides you through crucial aspects of professional database management, including performance tuning, replication, indexing, and security strategies. You’ll learn how to handle complex queries, optimize execution plans, and enhance user interactions with advanced SQL features such as window functions and JSON support. Hans equips you with practical approaches for managing database locks, transactions, and stored procedures to ensure peak performance. With real-world examples and expert solutions, you'll also explore replication techniques for high availability, along with troubleshooting methods to detect and resolve bottlenecks, preparing you to tackle everyday challenges in database administration. By the end of the book, you'll be ready to deploy, secure, and maintain PostgreSQL databases efficiently in production environments.
Table of Contents (16 chapters)
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Improving functions

So far, you have seen how to write basic functions and triggers in various languages. Of course, many more languages are supported. Some of the most prominent ones are PL/R (R is a powerful statistics package) and PL/v8 (which is based on the Google JavaScript engine). However, those languages are beyond the scope of this chapter (regardless of their usefulness).

In this section, we will focus on improving the performance of a function. There are a few ways by which we can speed up processing:

  • Reducing the number of function calls
  • Using cached plans
  • Giving hints to the optimizer

In this section, all three of these topics will be discussed. Let’s get started with reducing the number of function calls and see how this can be done.

Reducing the number of function calls

In many cases, performance is bad because functions are called way too often. In my opinion—and I cannot stress this point enough—calling things too...

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Tech Concepts
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