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Using the traditional relational schema based approach, this scenario can be modeled as a parent table, components_rel, and a child table, parts_rel, with a foreign key relationship as shown in the following code. First, we create the parent table components_rel (the prefix rel reminds us that this is part of a pure relational approach): benchmark@ORA10G> create table components_rel 2 ( 3 component_id number primary key, 4 component_name varchar2(50) 5 ); Table created. Next, we create the child table parts_rel. For simplicity, assume that one part can belong to at most one component. benchmark@ORA10G> create table parts_rel 2 ( 3 component_id number references components_rel on delete cascade, 4 part_id number primary key, 5 part_name varchar2(50), 6 part_desc varchar2(500) 7 ); Table created.

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DataPortal_Execute()

Before going any further, you need to make sure the configuration key for the benchmark tool is on. You do this by using the Configuration form at the main application menu path Administration Setup System Configuration, as shown in Figure 21-1.

DataPortal_OnDataPortalInvoke() DataPortal_OnDataPortalInvokeComplete() DataPortal_OnDataPortalException()

We also create an index on the foreign key column in the child table parts_rel. Almost always, this index is required in real-life applications to speed up the access to queries on child tables and to avoid unnecessary locking and even deadlocks during a delete cascade operation (see http://asktom.oracle.com/~tkyte/unindex/index.html for more details). benchmark@ORA10G> create index parts_id_rel_idx on parts_rel(component_id );

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The next step is to create a company and data for the company so you have a valid data set to run the benchmarks against. By creating a company for this purpose, you ensure that you have exactly the same data to benchmark against on all systems. Start the benchmarking wizard from the tool bar menu path Tools Development Tools Benchmark.

There are several ways the framework might ensure that the appropriate methods are implemented on each business object A formal interface or abstract base class could be used to force business developers to implement each method Alternatively, a base class could implement virtual methods with default behaviors that could optionally be overridden by a business developer Finally, it is possible to use reflection to dynamically invoke the methods Since not all objects will implement all the methods listed in Table 4-10, the idea of an interface or base class with abstract methods isn t ideal Another negative side-effect of those approaches is that the methods end up being publicly available, so a UI developer could call them Of course, that would be problematic, since these methods will be designed to be called only by the data portal infrastructure.

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Let s now look at an alternative solution that uses nested tables to store the same data. Using nested tables to store data involves the following steps: 1. Create the nested table type. 2. Create the table containing a column of the nested table type. 3. Perform DMLs on the table containing a column of the nested table type. Let s look at each of these steps separately. Creating a Nested Table Type The first step is to create an object type, part_type, to represent the child table columns: benchmark@ORA10G> create or replace type part_type as object 2 ( 3 component_id number, 4 part_id number, 5 part_name varchar2(50), 6 part_desc varchar2(500) 7 ); 8 / Type created. Then we can create the nested table type, part_type_tab, representing a collection of part_type objects: benchmark@ORA10G> create or replace type part_type_tab as table of part_type; 2 / Type created. Creating a Table Containing a Column of the Nested Table Type Finally, we create the components table called components_nt, wherein we have the parts column of the nested table type representing the parts of a component. Thus the child table is embedded or nested within the parent table in this approach. The nested table column data is actually stored in a real, physical table called parts_nt, as specified by the nested table parts stored as parts_nt clause:

Note As you can clearly see in figure 21-1, the benchmark key should be turned off in production systems

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