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

Chapter 5. Tables and Data

This chapter covers a range of general recipes for your tables and for working with the data they contain. Many of the recipes contain general advice, though with specific PostgreSQL examples.

Some system administrators I've met work only on the external aspects of the database server. What's actually in the database is someone else's problem.

Look after your data, and your database will look after you. Keep your data clean, and your queries will run faster and cause fewer application errors. You'll also gain many friends in the business. Getting called in the middle of the night to fix data problems just isn't cool.

In this chapter, we will cover the following recipes:

  • Choosing good names for database objects
  • Handling objects with quoted names
  • Enforcing the same name and definition for columns
  • Identifying and removing duplicates
  • Preventing duplicate rows
  • Finding a unique key for a set of data
  • Generating test data
  • Randomly sampling data
  • Loading data from a spreadsheet
  • Loading...