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Practical GIS

You're reading from   Practical GIS Learn novice to advanced topics such as QGIS, Spatial data analysis, and more

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787123328
Length 428 pages
Edition 1st Edition
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Author (1):
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G√°bor Farkas G√°bor Farkas
Author Profile Icon G√°bor Farkas
G√°bor Farkas
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Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Environment FREE CHAPTER 2. Accessing GIS Data With QGIS 3. Using Vector Data Effectively 4. Creating Digital Maps 5. Exporting Your Data 6. Feeding a PostGIS Database 7. A PostGIS Overview 8. Spatial Analysis in QGIS 9. Spatial Analysis on Steroids - Using PostGIS 10. A Typical GIS Problem 11. Showcasing Your Data 12. Styling Your Data in GeoServer 13. Creating a Web Map Appendix

Optimizing queries

We already used some techniques to speed up queries, although we have a lot more possibilities in tuning queries for faster results. To get the most out of our database, let's see how queries work. First of all, in RDBMS jargon, tables, views, and other similar data structures are called relations. Relation data is stored in files consisting of static-sized blocks (pages). In PostgreSQL, each page takes 8 KB of disk space by default. These pages contain rows (also called tuples). A page can hold multiple tuples, but a tuple cannot span multiple pages. These tuples can be stored quite randomly through different pages; therefore, PostgreSQL has to scan through every page if we do not optimize the given relation. One of the optimization methods is using indexes on columns just like the geometry columns, other data types can be also indexed using the appropriate...

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