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Learning PostgreSQL 10

You're reading from Learning PostgreSQL 10 A beginner's guide to building high-performance PostgreSQL database solutions

Product type Paperback

Published in Dec 2017

Publisher

ISBN-13 9781788392013

Length 488 pages

Edition 2nd Edition

Languages

C

Tools

PostgreSQL

Concepts

Database Programming

Authors (2):

Salahaldin Juba

Andrey Volkov

View More author details

Table of Contents (23) Chapters

Title Page

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Relational Databases FREE CHAPTER

2. PostgreSQL in Action

3. PostgreSQL Basic Building Blocks

4. PostgreSQL Advanced Building Blocks

5. SQL Language

6. Advanced Query Writing

7. Server-Side Programming with PL/pgSQL

8. OLAP and Data Warehousing

9. Beyond Conventional Data Types

10. Transactions and Concurrency Control

11. PostgreSQL Security

12. The PostgreSQL Catalog

13. Optimizing Database Performance

14. Testing

15. Using PostgreSQL in Python Applications

16. Scalability

Chapter 13. Optimizing Database Performance

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

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's cluster configuration. After the database server is configured, one could use a benchmark framework, such as pgbench, to calculate the number of transactions per second (TPS) for the database server setup.

The second step in optimizing database performance...

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Authors (2)

Juba

Juba

Salahaldin Juba has over than a decade of experience in the industry and academia, with a focus on database development for large-scale and enterprise applications. He holds a master's degree of science in environmental management with a distinction, and a bachelor's degree of engineering in computer systems. He is also a Microsoft Certified Solution Developer (MCSD). He has worked mainly with SQL server, PostgreSQL, and Greenplum databases. As a software engineer, he works mainly with defining ETL processes with external parties, promoting SQL best practices, designing OLTP and OLAP applications, and providing training and consultation services.

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Volkov

Volkov

Andrey Volkov studied information systems in banking, and started his career as a financial analyst at a commercial bank. He joined a data warehouse team, and after some time, he lead the team by taking the position of the data warehouse architect. There he worked mainly with Oracle database stack and used it to develop logical and physical models of financial and accounting data, implement them in the database, develop ETL processes, and perform analytical tasks. Now Andrey works as a senior database developer at a telecommunication provider. There, he works mainly with PostgreSQL databases, being responsible for data modeling, developing a data warehouse, reporting, and billing systems.

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