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/** * Constructor * * @param entry The Rome API's RSS Entry representation * @throws IllegalArgumentException If the entry is not specified */ RomeRssEntry(final SyndEntry entry) throws IllegalArgumentException { // Set properties this.author = entry.getAuthor(); final SyndContent content = entry.getDescription(); this.description = content.getValue(); this.title = entry.getTitle(); final String urlString = entry.getLink(); URL url = null; try { url = new URL(urlString); }
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Example A-47. One solution to Exercise 16-2 (continued)
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In this chapter, we explained the rationale for using a data access layer in an application, and how to set up the iBATIS DAO framework. We also looked at some of the more advanced ways to configure the iBATIS DAO framework, and you saw how to create a SQL Map based DAO. In the next chapter, we will look at how to set up other DAO types, as well as a more advanced use of the iBATIS DAO framework by building a non SQL DAO implementation. We will also explore other ways to implement a DAO layer in your application using the Spring framework, and look at some things you need to consider when creating your own DAO layer from scratch.
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You need to understand how database identity relates to object identity in Hibernate.
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The generated types derive from EntityObject, a base class that enables the object to participate in the Entity Framework. This includes features such as change tracking so that the framework can know when it needs to write updates to the database. The first version of the EF required entities to derive from this base class or to implement certain EF interfaces, but .NET 4 introduced so-called POCO (Plain Old CLR Object) support, which makes it possible to use an existing class hierarchy with the Entity Framework without having to modify those classes (as long as you can create a successful mapping). There s more work to do that way if you don t derive from EntityObject you need to write extra supporting code to provide the EF with enough information to know how it should handle change tracking, identity, and relationships for your objects. Here we re sticking with the simpler approach of letting the wizard generate classes that derive from the EF s base type.
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These functions, in order, show the usual life cycle of an SQLite database:
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Many DNS entries don t have an IPv6 address, and if you modify Example 13-22 to look up such an address (e.g., at the time of this writing, w3.org has only an IPv4 address) you ll see just one address back from GetHostEntry:
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Samples.Cat = function(name, age) { Samples.Cat.initializeBase(this, [name, age]); } Samples.Cat.registerClass('Samples.Cat', Samples.Pet);
5.2.1 Using inline parameter mapping
It doesn t look that different from what you would expect in a SQL query. One nice thing is that wildcards use the * character instead of the SQL standard % character. After processing this query, the LINQ results are scanned, and records are moved into the MatchingGeneral list.
You can see the result in figure 6.1 (the figure in the back). Observe that cell and image rotations go counterclockwise. In the next example, we ll look at how to apply more transformations.
A table, with its rows and columns, is a familiar sight to anyone who has worked with an SQL database. Sometimes you ll see tables referred to as relations, rows as tuples, and columns as attributes. This is the language of the relational data model, the mathematical model that SQL databases (imperfectly) implement. The relational model allows you to define data structures and constraints that guarantee the integrity of your data (for example, by disallowing values that don t accord with your business rules). The relational model also defines the relational operations of restriction, projection, Cartesian product, and relational join [Codd, 1970]. These operations let you do useful things with your data, such as summarizing or navigating it. Each of the operations produces a new table from a given table or combination of tables. SQL is a language for expressing these operations in your application (therefore called a data language) and for defining the base tables on which the operations are performed. You write SQL data definition language (DDL) statements to create and manage the tables. We say that DDL defines the database schema. Statements such as CREATE TABLE, ALTER TABLE, and CREATE SEQUENCE belong to DDL. You write SQL data manipulation language (DML) statements to work with your data at runtime. Let s describe these DML operations in the context of some tables of the CaveatEmptor application. In CaveatEmptor, you naturally have entities like item, user, and bid. We assume that the SQL database schema for this application includes an ITEM table and a BID table, as shown in figure A.1. The datatypes, tables, and constraints for this schema are created with SQL DDL (CREATE and ALTER operations). Insertion is the operation of creating a new table from an old table by adding a row. SQL databases perform this operation in place, so the new row is added to the existing table:
Finally, you d pull out content from the appropriate subarray when filling in your cells using the same type of nested messaging. Once you re working with sections, you can also think about creating headers and footers for each section. Figure 13.6 shows what the revised application would look like so far, including two different sections, each of which has its own section header. How do you create those section headers As with all of the methods we ve seen that fill in table views, the section header messages and properties show up in the UITableViewDataSource protocol reference. In order to create section headers, you write a tableView:titleForHeaderInSection: method. As you d expect, it renders a header for each individual section. An example of its use is shown in listing 13.6, though you could probably have done something fancier instead, such as building the section names directly into your array.
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