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PostgreSQL High Performance Cookbook

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

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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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                                   
    --------------------------------------------------------------
              -----------...
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