Book Image

PostgreSQL 11 Administration Cookbook

By : Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala
Book Image

PostgreSQL 11 Administration Cookbook

By: Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala

Overview of this book

PostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 11 allows you to scale up your PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration. The book will introduce you to new features such as logical replication, native table partitioning, additional query parallelism, and much more to help you to understand and control, crash recovery and plan backups. You will learn how to tackle a variety of problems and pain points for any database administrator such as creating tables, managing views, improving performance, and securing your database. As you make steady progress, the book will draw attention to important topics such as monitoring roles, backup, and recovery of your PostgreSQL 11 database to help you understand roles and produce a summary of log files, ensuring high availability, concurrency, and replication. By the end of this book, you will have the necessary knowledge to manage your PostgreSQL 11 database efficiently.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Discovering why a query is not using an index


This recipe explains what to do if you think your query should use an index, but it isn't.

There could be several reasons for this, but most often, the reason is that the optimizer believes that, based on the available distribution statistics, it is cheaper and faster to use a query plan that does not use that specific index.

 

Getting ready

First, check that your index exists, and ensure that the table has been analyzed. If there is any doubt, rerun it to be sure:

postgres=# ANALYZE;
ANALYZE

How to do it…

Force index usage and compare plan costs with an index and without, as follows:

postgres=# EXPLAIN ANALYZE SELECT count(*) FROM itable WHERE id > 500;
                         QUERY PLAN
---------------------------------------------------------------------
  Aggregate  (cost=188.75..188.76 rows=1 width=0)
            (actual time=37.958..37.959 rows=1 loops=1)
    ->  Seq Scan on itable (cost=0.00..165.00 rows=9500 width=0)
            (actual...