Transparent persistence vs. JDBC call-level interfaces
In November 1998, Torsten Stanienda and I wrote an article for IEEE
Computer that compared transparent persistence to a call-level interface.
The article was based on an exercise Torsten did that compared the ODMG transparent
persistence for Java to the JDBC call-level interface. Even though the article
goes back some years, the results of Torsten's exercise are worth noting.
Torsten created an example set of classes for Person, Professor, Student,
Course, and LectureRoom. He then wrote two sets of code to create, access, and
manipulate objects in each of the classes. One set of code used the ODMG Java
Binding and the other used the JDBC call-level interface. A summary of the
results are shown in the graph below. For this exercise, 496 lines of code were
needed using the ODMG Java Binding compared to 1,923 lines of code using JDBC.
What does this mean for you? Granted this is small example, but it does
demonstrate the difference in the lines of code needed between transparent
persistence and a call-level interface. This can be an advantage when it comes
to development costs. The results can be extrapolated to Java
Data Objects (JDO) or the ODMG C++ Binding. See transparent
persistence (new window). For additional
coding examples for transparent persistence, see how
to access data in a relational database (new window).
Note that this example does not cover the development time needed to design
the best mapping when using an object-relational mapping product. It also does
not cover entering this information into the object-relational mapping product
so that the mapping layer can be generated. Nevertheless, using transparent
persistence with an object-relational mapping products significantly reduces
development time. See development
costs with object-relational mapping products (new
window).
The article's title is "Solving the Java Storage Problem" and it
can be downloaded from the IEEE
Computer site (new window).
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