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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):

Juba

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 12. The PostgreSQL Catalog

The PostgreSQL system catalog and system administration functions can aid both developers and administrators to keep the database clean and performant. System catalogs can be used to automate several tasks, such as finding tables without indexes, finding dependencies between database objects, and extracting information about the database using health checks such as table bloats, database size, and so on. Information extracted from the system catalog can be employed in monitoring solutions such as Nagios and in dynamic SQL. This chapter will discuss some tasks a developer and administrator needs to do on a daily basis, such as cleaning up database data and unused objects, building an index automatically, and monitoring database objects access. The following topics will be covered in this chapter:

An overview of the system catalog
System catalog for administrators
Using system catalog for database clean up.
The usage of system catalog for performance tuning
Selective...

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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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