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This is definitely not the easiest Similarity calculation to understand, especially because of the way it is stored in the index. This formula translates to the field.getBoost() value being multiplied by Document.getBoost() of the document containing this field. If a document has multiple fields with the same name, all such values are multiplied together. This product is then multiplied by the value Similarity.lengthNorm(String, int) and encoded by Similarity.encodeNorm(float) as a single byte to reduce its storage size. It is then stored in the document index. If you are interested in the algorithm used to accomplish this, refer to the JavaDoc for Similarity.encodeNorm(float). At query time, this value is read from the index and decoded back to a float value by the static method Similarity.decode(n). There will be a loss of precision here resulting from rounding factors of the encoding algorithm to and from the byte representation. Remember, there s no contract anywhere stating that decode (encode(x)) = x. That is enough of equations and theory for a while. Let s take this information and apply it by exploring several examples and examining how scores change as we vary the quantities.

public void SomeMethod (int length) { this.length = length; }

else ce.Cancel = false;

This method creates the control and assigns it an id. Note that you haven t yet created the SiteGroupsFilterControl, so Visual Studio will show you an error if you try to compile it.

<class name="User"> <id name="id".../> <property name="username" unique-key="UNQ_USERKEY" update="false"/> <property name="emailAddress" unique-key="UNQ_USERKEY" update="false"/> ... </class>

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The entity class is mapped as immutable you ll never update any properties after creation. Hibernate accesses <composite-id> fields directly you don t need getters and setters in this nested class. The two <many-to-one> mappings are effectively read-only; insert and update are set to false. This is necessary because the columns are mapped twice, once in the composite key (which is responsible for insertion of the values) and again for the many-to-one associations. The Category and Item entities (can) have a one-to-many association to the CategorizedItem entity, a collection. For example, in Category:

In the last chapter, you learned a lot of the basics about how Core Data works, but worked with an extremely simple data model, which contained just a single entity. In this chapter, we re going to show you how to extend your data model to contain multiple entities, and how to define relationships between those entities. You ll also see how to create a GUI that shows these relationships and lets you edit them. Along the way, you ll catch your first glimpse of how Core Data deals with multiple, incompatible versions of your data model, and how it can migrate a data store from one model version to the next. We ll show you all of this while extending the MythBase project from 7 to include some data that s often overlooked with discussing mythical heroes and gods: the legendary bands they performed in! The night that Achilles and the Grecian Formula shook the Old Parthenon Ballroom to the ground is the stuff of legends, and who could forget The Four Norsemen s farewell concert at the Clontarf Supper Club The enhancements we ll make to MythBase in this chapter (see Figure 8 1) will help you keep track of this crucial information. We ll start out by adding all the new entities and relationships we want to our data model, then go on to setting up the GUI that will let us edit everything. To prepare for the rest of this chapter, go the Finder and make a copy of the last chapter s final MythBase project directory, then go into the new directory and doubleclick MythBase.xcodeproj to open it in Xcode.

Polymorphism applies not only to classes named explicitly in the from clause, but also to polymorphic associations, as you ll see later. Now that we ve discussed the from clause, let s move on to the other parts of HQL.

In this chapter, we looked at how views can quickly become unmanageable when they re filled with logical checks and formatting that s best handled elsewhere. We first tried manually mapping custom presentation models, which worked well but is tedious and error prone. We then looked at AutoMapper, which maps values from one object to another according to its configuration. We saw how to initialize and configure AutoMapper, how to follow the conventions, and how to leverage AutoMapper hooks to globally apply formatting. In the next chapter, we ll look at how to keep controllers lightweight and under control. By striving to reduce duplication and eliminate developer friction, we ll craft small and targeted controller actions.

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