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You use a collection to keep the list of entities that are currently being added B. This is required to avoid infinite recursive calls when there is a circular reference. If the entity is already in the DataSet, it must be updated; otherwise, its row must be created C. Filling the simple properties is straightforward D. Handling references to other entities is more complex: you must either remove the entity or add it if it isn t in the DataSet yet E. Handling collections requires that you first make sure the collection is already loaded (unless, in this case, you want it to be lazy loaded). Then you add the bids one by one F. You add the row to the DataSet if it doesn t already contain the entity G. Finally, you remove the entity from this collection H because we ve processed it. If you re using a code generator as explained earlier in this chapter, you may be able to generate this code for all your entities. Doing so will save you a lot of time. Now let s see how NHibernate can help you achieve the same result more quickly.

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If you re working with a non-typed DataSet, you can use an approach similar to the one explained in section 9.5.3: you can extract the class names and the property names and use them as table names and column names. NHibernate approximates this idea with the ToString(object entity) method of the NHibernate.Impl.Printer class. Look at it before starting your implementation. Succeeding in implementing this approach means it s generic enough to work with any entity, because you ll only be manipulating metadata. But it also means the domain model dictates the schema of the DataSet. You can solve this issue by using the mapping between the domain model and the database (because the DataSet schema is generally based on the domain model). With this ability to communicate with a component using DataSets, you re finished implementing a real-world domain model.

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By default, the name of the parameter is also used as a prompt, which, as you ll see later, is visible to the user when the report is rendered online. Notice the options to control whether the parameter can accept a null or a blank value, or both. 8. Replace the default parameter name with MarginPercent. Remember that a parameter name cannot include a space or special character. 9. Click Float in the Data Type drop-down list. Review the other data type options that are available in the Data Type drop-down list. The default data type is String, but you ll need to select a different data type if the expression in which you re using the parameter value requires a different data type. In this case, the value will be used to compare to a percentage value calculated in the report and must, therefore, be typed as Float. 10. Replace the default prompt with Margin %.

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Writing real-world domain models can be tricky because of the influence of the environment. We hope this chapter has helped you understand the process. The first step is to implement the domain model and the database and write the mapping between them. Until this chapter, you wrote them manually; now, you know how to generate them. You even know how to automate the migration of the database as the domain model evolves.

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