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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

Nesting loops

In this recipe, we will be discussing the nesting loops mechanism in PostgreSQL.

Getting ready

Nesting loops is one of the table joining mechanisms, in which PostgreSQL prefers to join two different datasets based on a join condition. The name itself describes the nesting loops as a loop inside another loop. The outer loop holds a dataset and compares each tuple with the dataset that holds an inner loop. That is, if the outer loop has N number of tuples and the inner loop has M number of tuples, then the nested loop performs N * M number of comparisons to produce the output.

How to do it…

  1. For demonstrating the nesting loops, let's run a join query at benchmarksql to retrieve the list of warehouse names along with the customer name that got the product from that warehouse:
    benchmarksql=# EXPLAIN SELECT w_name, c_first FROM bmsql_warehouse,
          bmsql_customer WHERE w_id=c_w_id;
                                                     QUERY PLAN                        ...
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