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The data access object layer is an abstraction layer, so by their very nature DAOs should be easy to test. DAOs make testing consumers of the DAO layer easier as well. In this section, we ll discuss testing a DAO itself. DAOs are generally separated into an interface and an implementation. Because we re testing the DAO directly, the interface does not play a role. We ll work directly with the DAO implementation for the purposes of testing. This might sound contrary to how the DAO pattern is supposed to work, but that s the great thing about unit testing it lets us get bad habits out of our system! If possible, testing at the DAO level should not involve the database or underlying infrastructure. The DAO layer is an interface to the persistence implementation, but in testing a DAO we re more interested in testing what is inside the DAO itself, not what is beyond it. The complexity of testing a DAO depends solely on the DAO implementation. For example, testing a JDBC DAO can be quite difficult. You ll need a good mocking framework to replace all of the typical JDBC components such as Connection, ResultSet, and PreparedStatement. Even then, it s a lot of work managing such a

Figure 9-1. The HTML page template We recommend installing an Eclipse plug-in for JavaScript called JSEclipse. From the top menu select: Help Software updates Find and install New Remote Site Name: JSEclipse URL: http://download.macromedia.com/pub/labs/jseclipse/autoinstall/ See Figure 9-2.

namespace Acme.Suppliers type LeverSupplier = { name: string; leverKind: Acme.Widgets.Lever }

Backup and restoration of an iPhone is also a function solely fulfilled client side via USB and iTunes. Unfortunately, there are no centralized management capabilities. A device s configuration, including third party stored data, is backed up whenever it is plugged into the computer. Device media itself is backed up solely according to the iTunes sync settings. This includes the user s music, movies, and pictures. You can also initiate a backup manually by right clicking on your iPhone in the iTunes sidebar, listed under devices. As seen in Figure 10-35, the contextual menu for the device provides several

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Our bean implementation class declares a few instance members as part of its internal state:

-------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | Cost | -------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 6 | 9 | | 1 | SORT AGGREGATE | | 1 | 6 | | |* 2 | HASH JOIN | | 1000 | 6000 | 9 | |* 3 | TABLE ACCESS FULL | T1 | 100 | 300 | 4 | |* 4 | TABLE ACCESS FULL | T2 | 100 | 300 | 4 | -------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------2 - access("T2""N1"="T1""N1") 3 - filter("T1""N1"=5) 4 - filter("T2""N1"=5) There are two ways to achieve this effect: Add the predicate t2n1 = 5 explicitly Add a duplicate of the predicate t2n1 = t1n1 A third (undesirable) option is the good old rule-based trick changing the join predicate to t2n1 = t1n1 + 0.

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Build Action 314 build automation 251 252 bus 268, 278 280, 312, 315, 317, 320 321 business applications 124 long-lived 125 business domain 120 business logic 31, 49 52, 269 270, 280 281, 322, 326 business rule 52

Unfortunately, when you adopt this worst-practice approach, the optimizer gets the right join cardinality (10,000) and a sensible cost (9) So be a little careful if you find joins that are producing strange plans and cardinalities; you may have to doctor them (and document the hacks in anticipation of the next upgrade) to con the optimizer into treating them sensibly Of course, it is easiest to consider transitive closure with equality signs all around, but the optimizer can be cleverer than that In the more general case, the optimizer is able to infer the following: if n1 operator constant and n2 = n1, then n2 operator constant For example: if n1 < 10 and n2 = n1, then n2 < 10 Similarly, if col1 > col2 and col2 > {constant K}, then Oracle can infer the predicate col1 > {constant K}.

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