Book Image

PostgreSQL High Performance Cookbook

By : Chitij Chauhan, Dinesh Kumar
Book Image

PostgreSQL High Performance Cookbook

By: Chitij Chauhan, Dinesh Kumar

Overview of this book

PostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems. If you run a database, you want it to perform well and you want to be able to secure it. As the world’s most advanced open source database, PostgreSQL has unique built-in ways to achieve these goals. This book will show you a multitude of ways to enhance your database’s performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. This book is your one-stop guide to elevate your PostgreSQL knowledge to the next level. First, you’ll get familiarized with essential developer/administrator concepts such as load balancing, connection pooling, and distributing connections to multiple nodes. Next, you will explore memory optimization techniques before exploring the security controls offered by PostgreSQL. Then, you will move on to the essential database/server monitoring and replication strategies with PostgreSQL. Finally, you will learn about query processing algorithms.
Table of Contents (19 chapters)
PostgreSQL High Performance Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Running CTE scan


In this recipe, we will be discussing CTE (Common Table Expression) scans.

Getting ready

CTEs are the named inline queries, which we define using the WITH clause, and they can be used multiple times in the same query. We can also implement recursive/DML queries using CTEs. CTE improves the query readability when compared with inline sub queries. CTE also provide the RECURSIVE option, which takes the usage of CTE to another level. Using recursive CTE statements, we can build hierarchical SQL queries where the SQL execution refers to its own results for further processing.

How to do it…

  1. Let's get all the costly products from the sample dataset as follows:

    benchmarksql=# EXPLAIN WITH costly_products AS (
        SELECT i_name FROM bmsql_item WHERE i_price BETWEEN 10 AND 100
    ) SELECT * FROM costly_products;
                                       QUERY PLAN                                   
    --------------------------------------------------------------
              -----------------
    ...