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PostgreSQL 14 Administration Cookbook

PostgreSQL 14 Administration Cookbook

By : Simon Riggs, GIANNI CIOLLI
4.3 (15)
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PostgreSQL 14 Administration Cookbook

PostgreSQL 14 Administration Cookbook

4.3 (15)
By: Simon Riggs, GIANNI CIOLLI

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 14 allows you to scale up your PostgreSQL infrastructure. With this book, you'll take a step-by-step, recipe-based approach to effective PostgreSQL administration. This book will get you up and running with all the latest features of PostgreSQL 14 while helping you explore the entire database ecosystem. You’ll learn how to tackle a variety of problems and pain points you may face as a database administrator such as creating tables, managing views, improving performance, and securing your database. As you make progress, the book will draw attention to important topics such as monitoring roles, validating backups, regular maintenance, and recovery of your PostgreSQL 14 database. This will help you understand roles, ensuring high availability, concurrency, and replication. Along with updated recipes, this book touches upon important areas like using generated columns, TOAST compression, PostgreSQL on the cloud, and much more. By the end of this PostgreSQL book, you’ll have gained the knowledge you need to manage your PostgreSQL 14 database efficiently, both in the cloud and on-premise.
Table of Contents (14 chapters)
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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 if it has hundreds—or even thousands—of rows of SQL code in a single query. This can cause both maintenance headaches and slow execution.

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 in itself. In order to be complex, the query has to join lots of tables in complex ways.

...

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