Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

Arrow left icon
Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 2. Server Configuration and Control 3. Device Optimization 4. Monitoring Server Performance 5. Connection Pooling and Database Partitioning 6. High Availability and Replication 7. Working with Third-Party Replication Management Utilities 8. Database Monitoring and Performance 9. Vacuum Internals 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

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                                   
    --------------------------------------------------------------
              -----------...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image