Book Image

Learning PostgreSQL 11 - Third Edition

By : Salahaldin Juba, Andrey Volkov
Book Image

Learning PostgreSQL 11 - Third Edition

By: Salahaldin Juba, Andrey Volkov

Overview of this book

PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.
Table of Contents (18 chapters)

Optimizing Database Performance

There are several aspects of optimizing database performance, such as hardware configuration, network settings, database configuration, rewriting SQL queries, and maintaining indexes. In this chapter, we'll focus only on basic configuration and rewriting queries.

Generally speaking, tuning database performance requires knowledge about the system's nature; for example, we need to know whether the database system can be used for online analytical processing (OLAP) or online transactional processing (OLTP). The database system may be IO- or CPU-bound; these define the whole database cluster setup, such as the number of CPUs, CPU power, RAID configuration, amount of RAM, and the database cluster's configuration. Once the database server is configured, you could use a benchmark framework, such as pgbench, to calculate the number of transactions...