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PostGIS Cookbook. - Second Edition

You're reading from  PostGIS Cookbook. - Second Edition

Product type Book
Published in Mar 2018
Publisher
ISBN-13 9781788299329
Pages 584 pages
Edition 2nd Edition
Languages
Authors (6):
Paolo Corti Paolo Corti
Profile icon Paolo Corti
Pedro Wightman Pedro Wightman
Profile icon Pedro Wightman
Bborie Park Bborie Park
Profile icon Bborie Park
Stephen Vincent Mather Stephen Vincent Mather
Profile icon Stephen Vincent Mather
Thomas Kraft Thomas Kraft
Profile icon Thomas Kraft
Mayra Zurbarán Mayra Zurbarán
Profile icon Mayra Zurbarán
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Table of Contents (18) Chapters

Title Page
Packt Upsell
Contributors
Preface
1. Moving Data In and Out of PostGIS 2. Structures That Work 3. Working with Vector Data – The Basics 4. Working with Vector Data – Advanced Recipes 5. Working with Raster Data 6. Working with pgRouting 7. Into the Nth Dimension 8. PostGIS Programming 9. PostGIS and the Web 10. Maintenance, Optimization, and Performance Tuning 11. Using Desktop Clients 12. Introduction to Location Privacy Protection Mechanisms 1. Other Books You May Enjoy Index

Extending inheritance – table partitioning


Table partitioning is an approach specific to PostgreSQL that extends inheritance to model tables that typically do not vary from each other in the available fields, but where the child tables represent logical partitioning of the data based on a variety of factors, be it time, value ranges, classifications, or in our case, spatial relationships. The advantages of partitioning include improved query performance due to smaller indexes and targeted scans of data, bulk loads, and deletes that bypass the costs of vacuuming. It can thus be used to put commonly used data on faster and more expensive storage, and the remaining data on slower and cheaper storage. In combination with PostGIS, we get the novel power of spatial partitioning, which is a really powerful feature for large datasets.

Getting ready

We could use many examples of large datasets that could benefit from partitioning. In our case, we will use a contour dataset. Contours are useful ways...

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