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In our case, if you use 90 percent as the threshold, you would get only one row. For demonstration purposes, I uncommented the part of the expression in the HAVING clause to return at least 5 rows and got the output shown in Table 3-13.

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Any concurrent unit of work that works with the same User row now knows that this data was modified, even if only one of the values that you d consider part of the whole aggregate was modified. This technique is useful in many situations where you modify an object and want the version of a root object of an aggregate to be incremented. Another example is a modification of a bid amount for an auction item (if these amounts aren t immutable): With an explicit version increment, you can indicate that the item has been modified, even if none of its value-typed properties or collections have changed. The equivalent call with Java Persistence is em.lock(o, LockModeType.WRITE). You now have all the pieces to write more sophisticated units of work and create conversations. We need to mention one final aspect of transactions, however, because it becomes essential in more complex conversations with JPA. You must understand how autocommit works and what nontransactional data access means in practice.

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The complete source code for the example in this chapter is shown in Example 3-4.

To retrieve the RegionContext in a view, the GetObservableContext static method of the RegionContext class is used. It passes the view as a parameter and then accesses its Value property, as shown in the following code example.

Looking at the diagram of the Event object in figure 1.5, it appears that converting between relational and object models presents little difficulty. Problems arise when we want to retrieve a complete object graph from a relational schema. Figure 1.6 presents a domain model for our event-management application. The Event class has three associations: a one-to-one association to the Location object and two one-to-many associations to the Speaker and Attendee objects. Figure 1.7 shows the relational tables for the domain model. (The speakers table is omitted since it s identical to the attendees table.) Let s look at the one-to-one association of the events and locations tables. The tables can be joined to retrieve the data from the locations table for a given row in the events table with the following SQL:

* + * + {x} {x,y}

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