Book Image

PostgreSQL 10 Administration Cookbook - Fourth Edition

By : Simon Riggs, Gianni Ciolli
Book Image

PostgreSQL 10 Administration Cookbook - Fourth Edition

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 10 allows users to scale up their PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration. Throughout this book, you will be introduced to these new features such as logical replication, native table partitioning, additional query parallelism, and much more. You will learn how to tackle a variety of problems that are basically the pain points for any database administrator - from creating tables to managing views, from improving performance to securing your database. More importantly, the book pays special attention to topics such as monitoring roles, backup, and recovery of your PostgreSQL 10 database, ensuring high availability, concurrency, and replication. By the end of this book, you will know everything you need to know to be the go-to PostgreSQL expert in your organization.
Table of Contents (14 chapters)

Writing a script that either succeeds entirely or fails entirely

Database administration often involves applying a coordinated set of changes to the database. One of PostgreSQL's great strengths is the transaction system, wherein almost all actions can be executed inside a transaction. This allows us to build a script with many actions that will either all succeed or all fail. This means that if any of these actions fail, then all the other actions in the script are rolled back and never become visible to any other user, which can be critically important on a production system. This property is referred to as atomicity in the sense that the script is intended as a single unit that cannot be split, and this is the meaning of the A in the ACID properties of database transactions.

Transactions definitely apply to Data Definition Language (DDL), which refers to the set of SQL...