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DocuVieware Lite Free HTML5 Document Viewer for ASP . NET
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transitive closure; the result of an operation on relations is always a relation.) This is quite different from the network of interconnected objects used to execute the business logic in a Java application. These are fundamentally different models, not just different ways of visualizing the same model. With this realization, you can begin to see the problems some well understood and some less well understood that must be solved by an application that combines both data representations: an object-oriented domain model and a persistent relational model. Let s take a closer look at this so-called paradigm mismatch.

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how to display docx and pdf files in view mvc | The ASP.NET Forums
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-- Drop the table used in this example. DROP TABLE Test.TestTran;

The object/relational paradigm mismatch can be broken into several parts, which we ll examine one at a time. Let s start our exploration with a simple example that is problem free. As we build on it, you ll begin to see the mismatch appear. Suppose you have to design and implement an online e-commerce application. In this application, you need a class to represent information about a user of the system, and another class to represent information about the user s billing details, as shown in figure 1.1. In this diagram, you can see that a User has many BillingDetails. You can navigate the relationship between the classes in both directions. The classes representing these entities may be extremely simple:

ListPrice ---------1431,50 34,99 0,00 0,00

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public class User { private String username; private String name; private String address; private Set billingDetails; // Accessor methods (getter/setter), business methods, etc. ... } public class BillingDetails { private String accountNumber; private String accountName; private String accountType; private User user; // Accessor methods (getter/setter), business methods, etc. ... } Figure 1.1 A simple UML class diagram of the User and BillingDetails entities

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Note that we re only interested in the state of the entities with regard to persistence, so we ve omitted the implementation of property accessors and business methods (such as getUsername() or billAuction()). It s easy to come up with a good SQL schema design for this case:

The second query will produce the correct result, as follows:

create table USERS ( USERNAME varchar(15) not null primary key, NAME varchar(50) not null, ADDRESS varchar(100) ) create table BILLING_DETAILS ( ACCOUNT_NUMBER varchar(10) not null primary key, ACCOUNT_NAME varchar(50) not null, ACCOUNT_TYPE varchar(2) not null, USERNAME varchar(15) foreign key references user )

USE AdventureWorks; WITH a AS ( SELECT TOP(2) ProductID, Name, Color, ListPrice FROM Production.Product

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The relationship between the two entities is represented as the foreign key, USERNAME, in BILLING_DETAILS. For this simple domain model, the object/relational mismatch is barely in evidence; it s straightforward to write JDBC code to insert, update, and delete information about users and billing details. Now, let s see what happens when we consider something a little more realistic. The paradigm mismatch will be visible when we add more entities and entity relationships to our application. The most glaringly obvious problem with our current implementation is that we ve designed an address as a simple String value. In most systems, it s necessary to store street, city, state, country, and ZIP code information separately. Of course, we could add these properties directly to the User class, but because it s highly likely that other classes in the system will also carry address information, it makes more sense to create a separate Address class. The updated model is shown in figure 1.2. Should we also add an ADDRESS table Not necessarily. It s common to keep address information in the USERS table, in individual columns. This design is likely to perform better, because a table join isn t needed if you want to retrieve the user and address in a single query. The nicest solution may even be to create a user-defined SQL datatype to represent addresses, and to use a single column of that new type in the USERS table instead of several new columns. Basically, we have the choice of adding either several columns or a single column (of a new SQL datatype). This is clearly a problem of granularity.

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