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)

Query rewriting

Writing a query in several ways enables the developer to detect some issues in coding best practices, planner parameters, and performance optimization. The example of returning the guru IDs, names, and the count of success_stories can be written as follows:

postgres=# \o /dev/null
postgres=# \timing
Timing is on.
postgres=# SELECT id, name, (SELECT count(*) FROM success_story where guru_id=id) FROM guru;
Time: 144,929 ms
postgres=# WITH counts AS (SELECT count(*), guru_id FROM success_story group by guru_id) SELECT id, name, COALESCE(count,0) FROM guru LEFT JOIN counts on guru_id = id;
Time: 728,855 ms
postgres=# SELECT guru.id, name, COALESCE(count(*),0) FROM guru LEFT JOIN success_story on guru_id = guru.id group by guru.id, name ;
Time: 452,659 ms
postgres=# SELECT id, name, COALESCE(count,0) FROM guru LEFT JOIN ( SELECT count(*), guru_id FROM success_story group by...