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

Simplifying complex SQL queries


There are two types of complexity that you can encounter in SQL queries.

First, the complexity can be directly visible in the query ifit hashundredsoreventhousandsof rows of SQL code in a single query. This can cause both maintenance headaches and slowexecution.

This complexity can also be hidden in subviews, so the SQL code of the query may seem simple, but it uses other views and/or functions to do part of the work, which can, in turn, use others. This is much better for maintenance, but it can still cause performance problems.

Both types of queries can either be written manually by programmers or data analysts, or emerge as a result of a query generator.

Getting ready

First, verify that you really have a complex query.

A query that simply returns lots of database fields is not complex by itself. In order to be complex, the query has to join lots of tables in complex ways.

The easiest way to find out whether the query is complex is to look at the output of EXPLAIN...