Summary

In this chapter, we learned about the concept of Oracle partitioning and how it can be useful for managing tables with large numbers of rows. We explained how Oracle Spatial supports the partitioning concept for the spatial index. The different types of partitioning models are also covered that are suitable for different types of applications. We showed examples of performance gains that can be obtained during index creation and query time using partitioning. The question of when to use spatial partitioning and non-spatial partitioning is also addressed in this chapter. In addition, we also described the best practices for ingesting large volumes of spatial data with the help of partitioning.

In the next chapter, we'll learn how to use Oracle Spatial capabilities to solve real world problems. We'll see how to access and work with different properties and attributes of the SDO_GEOMETRY object and describe several PL/SQL functions and procedures to extend the functionality provided...