A case Study of Applying Object-Relational Persistence in Astronomy Data Archiving

Mathematics – Logic

Scientific paper

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Scientific paper

The NOAO Science Archive (NSA) team is developing a comprehensive domain model to capture the science data in the archive. Java and an object model derived from the domain model weil address the application layer of the archive system. However, since RDBMS is the best proven technology for data management, the challenge is the paradigm mismatch between the object and the relational models.
Transparent object-relational mapping (ORM) persistence is a successful solution to this challenge. In the data modeling and persistence implementation of NSA, we are using Hibernate, a well-accepted ORM tool, to bridge the object model in the business tier and the relational model in the database tier. Thus, the database is isolated from the Java application. The application queries directly on objects using a DBMS-independent object-oriented query API, which frees the application developers from the low level JDBC and SQL so that they can focus on the domain logic. We present the detailed design of the NSA R3 (Release 3) data model and object-relational persistence, including mapping, retrieving and caching. Persistence layer optimization and performance tuning will be analyzed. The system is being built on J2EE, so the integration of Hibernate into the EJB container and the transaction management are also explored.

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