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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

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

Spatial indexing


Spatial indexing is one of the most important concepts in Oracle Spatial. Using the index can dramatically reduce the query cost for many operations. As Oracle uses an R-tree index, there are actually no maintenance operations required once the index is built. However, there are several important considerations while building the index to get the best possible performance for queries. In the following section, we describe some of the most commonly used parameters in the Create Index statement.

Layer GTYPE for point data

As we mentioned in Chapter 1, Defining a Data Model for Spatial Data Storage, the LAYER_GTYPE parameter can be used to enforce type consistency across all the rows in the table. For point data, this parameter can also be used to improve the performance for spatial index-based queries against these tables. When an operator like SDO_RELATE is evaluated, the R-tree index is used to do the primary filtering. In some cases, the index nodes can be used to perform...

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