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

Loading data from a spreadsheet


Spreadsheets are the most obvious starting place for most data stores. Studies within a range of businesses consistently show that more than 50% of smaller data stores are held in spreadsheets or small desktop databases. Loading data from these sources is a frequent and important task for many DBAs.

Getting ready

Spreadsheets combine data, presentation, and programs all into one file. That's perfect for power users wanting to work quickly. Like other relational databases, PostgreSQL is mainly concerned with the lowest level of data, so extracting just the data from these spreadsheets can present some challenges.

We can easily handle spreadsheet data if that spreadsheet's layout follows a very specific form, as follows:

  • Each spreadsheet column becomes one column in one table
  • Each row of the spreadsheet becomes one row in one table
  • Data is only in one worksheet of the spreadsheet
  • Optionally, the first row is a list of column descriptions/titles

This is a very simple...