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status changes, you can update the active status of the child commands. Then, when the user invokes the Zoom composite command, the Zoom command on the active child view will be invoked. When you display a collection of items in a view, you may need the UI for each item in the collection to be associated with a command at the parent view level (instead of at the item level). For example, in the application shown in the following illustration, the view displays a collection of items in a ListBox control, and the data template used to display each item defines a Delete button that allows the user to delete individual items from the collection.

Standard library documentation for English: http://www.ruby-doc.org/stdlib/libdoc/ English/rdoc/index.html

Two network hubs or Layer 2 switches Two operating system compact discs for Windows Server 2003, Enterprise

If Windows Server Backup works perfectly ne, why invest in another backup product Well might you ask. If you need more than disaster recovery for servers, Windows Home Server (WHS) is the ideal solution. It does everything Server Backup does plus client computer backup in a simple solution that is easy to con gure and use.

I already mentioned that data integrity is crucial for a relational database. Actually, data integrity rules are an important part of a relational database. An RDBMS has to enforce the rules. By making the rules part of a database, you inform the system what those rules are. With declarative constraints, how they are enforced is up to the system; with procedural code, you de ne how to implement them. In both cases, you express constraints in terms of predicates. Relation headers physical table and view de nitions including attribute type de nitions, together with declarative and procedural constraints form a database schema. Now we can summarize what exactly a database schema is. A database schema represents constrained predicates that describe a business scenario. You can get the constrained predicates from relation headers and constraints de ned in the database. A database predicate can be de ned as an aggregation of all relation and constraint predicates. Data integrity rules can be expressed with a single rule: there must be no value in a database at any time that would violate its constrained predicate. Constraints can be classi ed into basic constraints that de ne entity, referential, and domain integrity and business rules. Basic integrity rules are expressible with declarative constraints. Most business rules need programmatic code in SQL Server. Business rules can be anything, such as cardinality or frequency rules (how many tuples can exist in a relation at any time), data derivation rules (how you calculate state from events), subset rules (a relation can have

Figure 11-8. Name yyour storyboard in the Create Storyboard Resyource dialog box. 5. When the storyboard is created, the timeline will be visible on the right side of the Objects and Timeline panel. To better see this, switch to the Animation workspace in Expression Blend by selecting Window Active Workspace Animation Workspace. Your workspace should now look similar to Figure 11-9.

In figure 6.1, you saw the response time of a simple AJAX website being polled every 5 seconds under normal load. In that example, there were no real issues and the page was served up with ease. Figure 6.2 shows that same web application, this time coughing and spluttering as it struggles to cope with the simulated extreme load. The extreme load that this page is suffering from is the result of running your console application (listing 6.2) at the same time as your polling application. Figure 6.2 AJAX poll under extreme load (running Figure 6.2 shows that your polling at the same time as your console application) web page is no longer consistently taking 5 seconds to return a result. At one point (between 18:40:33 and 18:41:04), it took more than 20 seconds to return the result. This type of response is typical of a web

3

Figure 8-14: Spec Explorer configuration. From here, a tester can create a model visualization, as shown in Figure 8-15, or generate test code to traverse the model.

decode each message based on the description in the table. A table entry to describe one kind of message might look like this:

FileStream fs = new FileStream(

Filter f = session.enableFilter("nameFilter"); f.setParameter("nameFilterParam", "Plenary"); List results = session.createQuery("from Event").list();

This query generates the following output: