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In this type of generator, code is generated based on metadata information that is defined in an XML file. The metadata contains information that is mainly related to the type of application code the generator is supposed to produce. For instance, if you need to autogenerate database triggers, then all that is required is the name of the tables and type of trigger (insert, update, and delete) to create. All this information then forms part of the metadata and is included in the XML file. Another good example of this kind of generator is the ADO.NET strongly type DataSet. The ADO.NET DataSet is a general-purpose in-memory container with a relational programming model flavor. The internal structure of a DataSet is organized in the form of rows and columns. It is mainly used to cache rows populated from a database. A typed DataSet is a sophisticated version of a dataset that provides strongly typed methods, events, and properties. It means tables and columns are accessed by name instead of following ordinal-based methods, thereby improving code readability. It is completely possible to construct the entire relational database model inside a dataset, which includes tasks such as defining the primary key, relations between tables using foreign keys, unique constraints, and so on. So, the foundation for creating a typed dataset is the metadata information defined inside an XSD file. The structure of this information is in accordance to the XSD standard, and it is then fed to an XSD tool (xsd.exe) that generates a strongly typed dataset. The code inside this tool has sufficient knowledge to understand and interpret the metadata and accordingly produce output.

public class GadgetTypeConverter implements javax.faces.convert.Converter { private List<GadgetType> mTypes; public GadgetTypeConverter(List<GadgetType> types) { this.mTypes = types; } public String getAsString(FacesContext ctx, UIComponent comp, Object obj) { if (obj == null) return null; GadgetType type = (GadgetType) obj; String val = String.valueOf(type.getId());

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Just-in-time code cutting (JIT-CC) is an ability to dynamically generate and compile code on the fly at runtime This behavior is different from other types of code generators discussed so far that generate code during design time and that are compiled later with another production set of classes Obviously, generating code on the fly at runtime requires support from the underlying execution run-time system, and the CLR is well equipped to blend with such techniques A perfect example of it is the way XmlSerializer is designed As discussed in 3, XmlSerializer enables you to serialize and deserialize objects into and from XML documents, but a deep dive into its internal implementation will reveal some cool programming techniques.

It allows you to work with strongly typed classes where an individual field or property is mapped with elements or attributes of the XML document, and this mapping information is controlled through a special set of XmlSerializer attributes At the core implementation level, every time a new instance of XmlSerializer is constructed, a new assembly and a new class are dynamically created This newly created class strictly contains type-specialized code to transfer data between objects and XML and is determined at runtime That is the reason why you notice a slowness in execution whenever a new instance of XmlSerializer is created The instantiation process includes the dynamic generation and compilation of code, which chews a fair amount of CPU cycles; therefore, it is always a good programming practice to cache the instance of XmlSeralizer instead of re-creating it again and again.

0", "< 2" This is cumbersome, so RubyGems provides the ~> syntax, which allows us to specify the same constraint in the following manner: gem "starfish", "~> 11" The internal logic of this is quite straightforward The minimum acceptable version is taken at face value to be 11(0) and above RubyGems then strips the least significant number away from the given version (leaving 1), adds 1 to it, and designates that the noninclusive upper bound This is just a convenience, and you are free to use the more specific syntax especially if these aren t quite the semantics you re looking for..

return val; } public Object getAsObject(FacesContext ctx, UIComponent comp, String strVal) throws ConverterException { if (strVal == null || strVal.length()==0) { return null; } long id = Long.valueOf(strVal).longValue(); for (GadgetType type : mTypes) { if (type.getId() == id) { return type; } } return null; } }

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