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The last step is where you create an object-relational database or objectbase, one where realworld entities are accurately modeled for both attributes and behavior. I m not advocating moving all of an application s code into the database I mean objectbase actually, just the opposite. The only items that should reside in the objectbase are the entities, along with their data attributes and methods that are in scope for the particular application. This means that what is normally thought of as data in a relational database should be stored in the objectbase, along with its associated business rules. Whatever code is used to present the object-relational model data-entry screens, reports, graphics, and so on should continue to reside in an external codebase. Regardless of the presentation layer, any business rule should be executed in the objectbase, not in the presentation layer. That may seem like a radical departure from what you re currently doing, or perhaps not. If you re using EJBs, you re already making a remote procedure call to employ business rules in a so-called middle tier. Why not do it correctly, and employ the authoritative rules that permanently reside side by side with the data attributes, instead of supposedly recoding the same rules again and again (with inconsistency) in another codebase

Notifies the bean of its name within the factory. It is generally not recommended that a dependency be created on the bean name, but it may prove useful for logging purposes. Intended for use by classes within the framework. Allows beans to look up other beans by name from the factory. This is generally unnecessary because bean dependencies are typically received by injection. Permits resources to be looked up directly from the resource loader for example, where the name to be used is calculated as a suffix to some fixed root.

scala> List("A", "Cat").map(s => s.toLowerCase)

Building an object-relational database, or objectbase, calls for a change in order. When building a relational database, you follow this order: 1. Create tables with columns (attributes). 2. Create table packages with methods (behavior). 3. Code presentation by accessing the data in tables and the behaviors in their associated packages.

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res29: List[java.lang.String] = List(a, cat)

CH APT ER 6 JUST LI KE IT IS I N T HE REAL WO RLD !

Table 3-3. Methods Called on Startup (Continued)

We can shorten the function so the code reads:

When you build an object-relational database, or objectbase, you follow this order: 1. Create user-defined types with attributes and behaviors. 2. Create tables based on your user-defined types. 3. Code presentation by accessing attributes and behaviors in user-defined type tables. With that change of order in mind, I think it s time I actually show you what the heck I m talking about. Enough philosophy it s time for action. We ll begin with how to create a new user-defined type, an object type.

scala> List("A", "Cat").map(_.toLowerCase)

You remember the keyword TYPE from 3, right We used it to declare the equivalent of an array in PL/SQL: a PL/SQL table. Well in this context, you re going to use it to permanently create a new user-defined data type in the database. Using the term data type is a bit of a misnomer. You re really going to be creating new types of classes of entities, or object types. Yes, here s a new word for your vocabulary: object type. An object type defines both data attributes and related methods. So the SQL keywords you ll use to create user-defined object types are CREATE TYPE. By creating a user-defined type, you ll permanently marry data and its associated methods in the database so they can t be separated, not even accidentally. It s a marriage for life; no divorce allowed. Of course, you ll be able to change data and behavior over time, but you ll be coding behavior so it will be time-dependent, and therefore be coding behavior over time. Cool, huh Some day, we will store universal behavioral executables the same way we store data. But today, the best we can do is to store our code with our data, not as separate entities, and to modify our code to be point-in-time-dependent, so we can reproduce behavior as it existed at any point in time. Since you probably have little experience with this form of SQL, I m going to show you two examples, with you doing some of the coding along the way. First, let s create a user-defined TYPE for one of our code tables: Gender.

res30: List[java.lang.String] = List(a, cat)

Creating a user-defined type has two steps. First, you create a specification, and then you create a type body, or implementation, similar to creating a package. Listing 6-1 is an example of a CREATE TYPE specification script for creating a user-defined type for code table Gender. Listing 6-1. An Example of a CREATE TYPE Statement for a Code Table, gender_o.tps 01 02 03 04 05 create or replace TYPE GENDER_O as object ( /* gender_o.tps by Donald J. Bales on 12/15/2006 Type GENDER's attributes and methods.

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