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

Performing actions on many tables


As a database administrator, you will often need to apply multiple commands as part of the same overall task. That task could be one of the following:

  • Many different actions on multiple tables
  • The same action on multiple tables
  • The same action on multiple tables in parallel
  • Different actions, one on each table, in parallel

The first is a general case where you need to make a set of coordinated changes. The solution is to write a script, as we've already discussed. We can also call this static scripting because you write the script manually and then execute it.

The second type of task can be achieved very simply with dynamic scripts, where we write a script that writes another script. This technique is the main topic of this recipe.

Performing actions in parallel sounds really cool, and it would be useful if it were easy. In some ways it is, but trying to run multiple tasks concurrently and trap and understand all the errors is much harder. And if you're thinking...