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Another facility provided by the Spring framework and one on which Spring itself builds a lot of its internal functionality upon its AOP stack. Although Spring s doesn t provide a complete language-level AOP implementation, it provides the necessary AOP features to deal with common problems encountered in enterprise applications. As you ll learn in depth in 10, AOP provides the ability to deal with cross-cutting concerns of an application in a declarative fashion. Aspects are behaviors or functionality that are required by the application but that might not necessarily belong alongside business application code. By defining pointcuts (where to apply an aspect) AOP techniques provide a clean way to deal with common services such as logging, persistence, transactions, and any other non-functional aspect that will otherwise litter your application code. Spring AOP was designed with usability in a Java EE environment in mind. Spring provides a coarse-grained dynamic proxy based AOP implementation that uses runtime-generated proxies to add concerns. Following the prevailing theme in Spring, any Spring bean can be advised in a declarative fashion. Spring itself uses several predefined aspects to handle transactions, security, tracing, logging, contention management, and integration with technologies like EJB and JMS. So if you are using Spring today, you are already (and perhaps unknowingly) using AOP. In 10 we will explore AOP techniques as they apply to the development of the TechConf application.

IF <boolean_evaluation> THEN -- do this if it's TRUE [ELSE -- do this if it's not TRUE] END IF; where <boolean_evaluation> is PL/SQL that evaluates to a Boolean value. If the <boolean_evaluation> is TRUE, then the lines of code between the THEN and ELSE keywords are executed. Otherwise, if the <boolean_evaluation> is not TRUE, then the lines of code between keywords ELSE and END IF are executed. In Listing 4-4, on line 86, I evaluate id is NULL. If it s TRUE, PL/SQL executes lines 87 through 141; otherwise (ELSE), it executes lines 143 through 154. You can also use the following syntaxes: IF <boolean_evaluation> THEN -- do this if it's TRUE END IF; or IF <boolean_evaluation> THEN

Note I could well have used a list instead of a tuple to represent the state. It s mostly a matter of taste in

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-- do this if it's TRUE [ELSIF <boolean_evaluation> THEN -- do this if it's TRUE ELSIF ... ELSE -- do this if it's not TRUE] END IF; Now, let s get back to the subject of inserting.

The Spring framework is much more than just another IoC/AOP lightweight container. Spring is a very non-invasive framework that will let you use as much as you need but not more. By providing a comprehensive and consistent feature set built upon the best offerings available in the open source arena, it provides a complete, feature-rich application framework that focuses of solving common Java EE problems. Spring provides abstractions to deal in a simple way with such concerns as transaction management, object-relational mapping, integration with MVC frameworks, and others. The abstraction of common services makes Spring applications completely portable across application servers or Web containers and provides a consistent way to deal with resource management and exception handling. Figure 6-2 depicts the extent of the Spring Framework and the myriad of tools and projects that it seamlessly integrates under a single roof.

It s almost always best to let SQL simply do its job! You can t imagine how much PL/SQL code I ve seen that can be replaced by one SQL statement for example, all the code you ve seen so far in this chapter in Listings 4-1 through 4-4. Figure 4-3 is a simple process flow diagram for predetecting a duplicate entry using SQL. In this process, SQL performs the work of predetection using an EXISTS clause. If a duplicate entry does not exist at the moment the EXISTS clause is executed, the SQL engine immediately follows with an INSERT. Regardless, this does not mean you can t get a DUP_VAL_ON_INDEX exception. In the microseconds between the evaluation of the EXISTS clause and the INSERT, it is possible that someone or something has inserted a duplicate value into the database. So you must still catch any exceptions from the SELECT...INTO statement and act accordingly.

Let s start by doing some simple abstraction. To find a configuration in which there are no conflicts (where no queen may capture another), you first have to define what a conflict is. And why not define it as a function while you re at it The conflict function is given the positions of the queens so far (in the form of a state tuple) and determines if a position for the next queen generates any new conflicts: def conflict(state, nextX): nextY = len(state) for i in range(nextY): if abs(state[i]-nextX) in (0, nextY-i): return True return False The nextX parameter is the suggested horizontal position (x coordinate, or column) of the next queen, and nextY is the vertical position (y coordinate, or row) of the next queen. This function does a simple check for each of the previous queens. If the next queen has the same x coordinate, or is on the same diagonal as (nextX, nextY), a conflict has occurred, and True is returned. If no such conflicts arise, False is returned. The tricky part is the following expression: abs(state[i]-nextX) in (0, nextY-i) It is simply true if the horizontal distance between the next queen and the previous one under consideration is either zero (same column) or equal to the vertical distance (on a diagonal) and false otherwise.

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