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As mentioned earlier, Oracle allows you to declare a table with one or more columns, the data type of which is an object type or a collection type. There are two categories of such tables: Object table: An object table is a special kind of table in which each row represents an entire object. Essentially, this type of table consists of only one column, the data type of which is an object type. In the following code snippet, we create an object table of type person: benchmark@ORA10G> create table person_table of person; Table created. Table with column objects: A table in which at least one column is of an object type or collection type is called (for lack of a better name) a table with column objects. A column object is an object stored as a column of a table in a row that contains at least one more attribute. For example, the table contacts defined as follows falls under this category: benchmark@ORA10G> create table contacts 2 ( 3 contact_person person, 4 contact_type varchar2(20) 5 ); Table created. Tables can also have columns whose data type is a varray or a nested table. These are typically used in lieu of storing a parent/child relationship. In this section, we ll first discuss how objects can be stored, retrieved, and updated in tables in Oracle in the form of nested tables and varrays. We ll then discuss the reasons this is not, in general, a recommended practice (mainly because it leads to poor performance and increases code complexity). Let s begin with a discussion of how to store varrays in tables.

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Using Table 21-1 is pretty straightforward. Multiply the number of users by the number of transactions per hour of each given type, divide the result by the number of transactions per hour in the table, then multiply by the ASU load in the table. For example, consider three users of the sales order functionality creating and average of 100 order lines per hour each: 3 100 = 300 sales-order-line transactions per hour 300 / 50 = 6 ASU absolute value 6 1 = 6 ASU weighed value Now consider four financial analysts running an average of six major reports per hour each: 4 6 = 24 major financial reports per hour 24 / 4 = 6 ASU absolute value 6 2 = 12 ASU weighed value Add up all the weighed values, and you will have the total number of ASUs your system needs to support. Armed with this, you then need to put together some tentative system designs that you can benchmark to determine their ability to support your requirements, and from which you can select the one that best meets your needs.

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public static void DeleteCustomer(int id) { DataPortal.Delete(new Criteria(id)); } The Criteria class used in the GetCustomer() method will either be nested within the business class, or must inherit from Csla.CriteriaBase. The former is the typical approach for classes written by hand, while the latter is intended for use with code generation tools. The purpose of a criteria object is to convey at least one piece of information from the client to the server. The only required piece of data is the type of the business object to be created, retrieved, or deleted. The data portal determines this either by looking at the class within which the criteria object is nested, or by retrieving a Type object from the criteria object in the case that it inherits from Csla.CriteriaBase. In reality, most criteria objects include other information to uniquely identify the specific object to be retrieved. In this Customer example, the customer s unique ID value is a number. A nested criteria class would look like this: [Serializable()] public class Customer : BusinessBase<Customer> { [Serializable()] private class Criteria { private int _id; public int Id { get { return _id; } } public Criteria(int id) { _id = id; } } } The same criteria class inheriting from Csla.CriteriaBase would look like this: [Serializable()] internal class Criteria : CriteriaBase { private int _id; public int Id { get { return _id; } } public Criteria(int id) : base(typeof(Customer)) { _id = id; } } Either way, the data portal can discover that the criteria object is looking for a Customer object, and so a Customer object will be created by the data portal. This will become clearer later in the implementation of Csla.Server.SimpleDataPortal.

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In this section, we ll walk through the various steps involved in creating and populating a table with a varray column. While examining some of the techniques involved in populating and retrieving data from a table that contains a varray column, you ll likely start to appreciate the increased code complexity that using objects and collections in tables introduces. Using varrays in tables involves the following steps: 1. Create the varray type. 2. Create the table containing a column of the varray type. 3. Perform Data Manipulation Language (DML) statements on the table containing a column of the varray type. Let s look at each of these steps separately.

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