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Applying and Extending Oracle Spatial

You're reading from  Applying and Extending Oracle Spatial

Product type Book
Published in Sep 2013
Publisher Packt
ISBN-13 9781849686365
Pages 568 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (20) Chapters

Applying and Extending Oracle Spatial
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Defining a Data Model for Spatial Data Storage 2. Importing and Exporting Spatial Data 3. Using Database Features in Spatial Applications 4. Replicating Geometries 5. Partitioning of Data Using Spatial Keys 6. Implementing New Functions 7. Editing, Transforming, and Constructing Geometries 8. Using and Imitating Linear Referencing Functions 9. Raster Analysis with GeoRaster 10. Integrating Java Technologies with Oracle Spatial 11. SQL/MM – A Basis for Cross-platform, Inter-operable, and Reusable SQL Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial
Use of TREAT and IS OF TYPE with ST_GEOMETRY Index

Why Java and Oracle Spatial?

PL/SQL language can be used to develop extensions with Oracle Spatial. But PL/SQL is not a common, cross-platform development language for most programmers outside the database world. Java is a good choice for such a situation. In addition, there already exist a lot of spatial algorithms that are written in Java and licensed for use as free and open source software.

Java is very much a cross-platform technology that Oracle has invested in heavily, and it runs on all platforms on which the Oracle database runs. It can be used to develop applications that can be deployed in any architectural tier (client, middle, or data). This chapter, however, looks specifically at data-tier deployment of functionality inside the Java Virtual Machine (JVM) embedded in the Oracle database.

It is the case that many existing Oracle Spatial functions provided by the Locator and Spatial products are implemented in Java. Therefore, what is promoted in this chapter is not out of the ordinary...

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