Book Image

Applying and Extending Oracle Spatial

By : Siva Ravada, Simon Greener
Book Image

Applying and Extending Oracle Spatial

By: Siva Ravada, Simon Greener

Overview of this book

Spatial applications should be developed in the same way that users develop other database applications: by starting with an integrated data model in which the SDO_GEOMETRY objects are just another attribute describing entities and by using as many of the database features as possible for managing the data. If a task can be done using a database feature like replication, then it should be done using the standard replication technology instead of inventing a new procedure for replicating spatial data. Sometimes solving a business problem using a PL/SQL function can be more powerful, accessible, and easier to use than trying to use external software. Because Oracle Spatial's offerings are standards compliant, this book shows you how Oracle Spatial technology can be used to build cross-vendor database solutions. Applying and Extending Oracle Spatial shows you the clever things that can be done not just with Oracle Spatial on its own, but in combination with other database technologies. This is a great resource book that will convince you to purchase other Oracle technology books on non-spatial specialist technologies because you will finally see that "spatial is not special: it is a small, fun, and clever part of a much larger whole".
Table of Contents (20 chapters)
Applying and Extending Oracle Spatial
About the Authors
About the Reviewers
Table Comparing Simple Feature Access/SQL and SQL/MM–Spatial

Database replay

Many users often find unintentional changes to their applications when a DB is upgraded to a newer version or a patch set is applied. Organizations usually have a test system and a production system so that the changes to the DB can be first tested on the test system before applying them to the production system. But often times it is hard to run the same production application load on the test system to completely test in a production-like environment. Database replay provides DBAs with the ability to systematically re-run accurate production workloads in test environments. It allows the DBAs to capture full database workloads from the production systems including all concurrency, dependencies, and timing scenarios and then replay them on the test system. This is done by capturing the SQL level operation on the production system and replaying the same set of SQL statements on the test system. With database replay, the DBAs can capture a workload very easily with a set of...