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

Generating test data

DBAs frequently need to generate test data for a variety of reasons, whether it's for setting up a test database or just for generating a test case for a SQL performance issue.

How to do it...

To create a table of test data, we need the following:

  • Some rows
  • Some columns
  • Some order

The steps are as follows:

  1. First, generate a lot of rows of data. We use something named a set-returning function. You can write your own, though PostgreSQL includes a couple of very useful ones.
  2. You can generate a sequence of rows using a query like the following:
postgres=# SELECT * FROM generate_series(1,5);
(5 rows)
  1. Alternatively, you can generate a list of dates, like this:
postgres=# SELECT date(t)
FROM generate_series(now(),
now() + '1 week', '1 day') AS f(t);
(8 rows)



  1. Then...