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PostGIS Cookbook

You're reading from   PostGIS Cookbook For web developers and software architects this book will provide a vital guide to the tools and capabilities available to PostGIS spatial databases. Packed with hands-on recipes and powerful concepts

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Product type Paperback
Published in Jan 2014
Publisher
ISBN-13 9781849518666
Length 484 pages
Edition Edition
Languages
Tools
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Toc

Table of Contents (18) Chapters Close

PostGIS Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Moving Data In and Out of PostGIS FREE CHAPTER 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 Index

Using indexes


A database index is very much like the index of a book (such as this one). While a book's index indicates the pages on which a word is present, a database column index indicates the rows in a table containing a searched value. Just as a book's index does not indicate exactly where on the page a word is located, the database index may not be able to denote the exact location of the searched value in a row's column.

PostgreSQL has several types of indexes, such as B-Tree, Hash, GIST, SP-GIST, and GIN. All these index types are designed to help queries find matching rows faster. What makes the indexes different is the underlying algorithms. Generally, to keep things simple, almost all PostgreSQL indexes are of the B-Tree type. PostGIS (spatial) indexes are of the GIST type.

Geometries, geographies, and rasters are all large, complex objects, and relating to or among these objects takes time. Spatial indexes are added to the PostGIS data types to improve search performance. The performance...

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