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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

Space curve based partitioning


In this section, we will describe an example to show how to use a space curve value as the partition key to achieve partitioning that is similar to X and Y-based partitioning. This approach has some advantages and disadvantages when compared to multi-key range-based partitioning. We can use a single partition key instead of the multi-column partition key. If a new partition is to be added by splitting any of the existing partitions, multi-key partitions are harder to manage if only one partition needs to be split based on the first value of the partition key. On the other hand, the multi-key partitioning provides an easy-to-use method for coming up with initial partitions that have the same number of rows in each partition.

For this example, we will use the land_parcels table to show the concept of spatial-based partitioning for tables with non-point geometry data. Before we create the partitioned table, we will first revisit the space curve concepts. We learned...

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