By Murray C.
The Oracle Spatial person s advisor and Reference offers utilization and reference info for indexing and storing spatial info and for constructing spatial applications.Spatial calls for Oracle 9i company version. Oracle 9i and Oracle 9i firm variation have a similar easy good points. notwithstanding, numerous complicated positive factors, akin to prolonged facts varieties, can be found in basic terms with the firm version, and a few of those beneficial properties are not obligatory. for instance, to exploit Oracle 9i desk partitioning, you want to have the firm version and the Partitioning Option.For information regarding the variations among Oracle 9i and Oracle 9i firm variation and the gains and ideas which are to be had to you, see Oracle 9i Database New positive aspects.
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Local coordinate systems are often used for CAD applications and local surveys. When performing operations on geometries, Spatial uses either a Cartesian or curvilinear computational model, as appropriate for the coordinate system associated with the spatial data. For more information about coordinate system support in Spatial, including geodetic, projected, and local coordinates and coordinate system transformation, see Chapter 5. 5 Tolerance Tolerance is used to associate a level of precision with spatial data.
If a geometry consists of more than one element, then the last ordinate for an element is always one less than the starting offset for the next element. The last element in the geometry is described by the ordinates from its starting offset to the end of the SDO_ORDINATES varying length array. For compound elements (SDO_ETYPE values 4 and 5), a set of n triplets (one per subelement) is used to describe the element. It is important to remember that subelements of a compound element are contiguous.
Table 1–1 Choosing R-tree or Quadtree Indexing R-tree Indexing Quadtree Indexing The approximation of geometries cannot be fine-tuned. ) The approximation of geometries can be fine-tuned by setting the tiling level and number of tiles. Index creation and tuning are easier. Tuning is more complex, and setting the appropriate tuning parameter values can affect performance significantly. Less storage is required. More storage is required. If your application workload includes nearest-neighbor queries (SDO_NN operator), R-tree indexes are faster.