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In this chapter, you have looked at the development of the service layer containing business logic. You have seen how the methods of the service layer can be made transactional by using AOP. You also have also seen how AOP classes can be created to enforce security guarantees upon the service layer without influencing its design. In the next chapter, we will finally build our presentation layer the web application upon the foundation provided by the service layer created in this chapter.

The first line tests for a String. If it is a String, the parameter is cast into a String and assigned to the s variable, and the expression on the right of the => is returned. Note that if the parameter is null, it will not match any pattern that compares to a type. On the next line, the parameter is tested as an Int. If it is an Int, the parameter is cast to an Int, assigned to i, and the guard is tested. If the Int is a natural number (greater than zero), Natural Int will be returned. In this way, Scala pattern matching replaces Java s test/cast paradigm. I find that it s very, very rare that I do explicit testing and casting in Scala.

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if n_global = 3 then pl('You have access to globally defined profiler tables '|| 'under username SYS'); end if; if n_local <> 3 and n_global <> 3 then pl('Sorry, either the profile tables do not exist, or you'|| 'don''t have access to them. Contact your DBA!'); end if; end; / You should see SQL*Plus output like this:

We saw case classes earlier in the book. They are classes that get toString, hashCode, and equals methods automatically. It turns out that they also get properties and extractors. Case classes also have properties and can be constructed without using new. Let s define a case class:

SQL> @is_profiler DBMS_PROFILER Version 2.0 DBMS_PROFILER.internal_version_check = 0 You have access to locally defined profiler tables for your current username: BPS PL/SQL procedure successfully completed. Given that you have access to the profiler, profile your relational version of the debug logger by following these steps: 1. Profile your debug logger by executing the following at the SQL*Plus prompt: SQL> @run_profiler.sql debug_ts.sql This profiles your debug logging table package by executing your test unit for said package. The run_profiler.sql script should have displayed the run number on the screen. Jot down this number, because you ll need it to run the two profiling reports next. 2. Create an average percent consumption report by executing the following at the SQL*Plus prompt: SQL> @avg_profile.sql <run_number> where <run_number> is the run number you got from executing script run_profiler.sql. 3. Examine the file avg_profile_<run_number>.txt. Ask yourself, What s the biggest consumer of resources

n the preceding chapter, you looked at the issues around building the service layer for our application. In this chapter, we start to build the presentation layer of our application as a web application.

case class Person(name: String, age: Int, valid: Boolean)

4. Create an order by program unit and line number report by executing the following at the SQL*Plus prompt: SQL> @ord_profile.sql <run_number> 5. Examine the file ord_profile_<run_number>.txt. Scan down the report. Find where your methods start and stop. Add up the average time consumption in nanoseconds. Ask yourself, What s the biggest consumer of resources Interestingly enough, in both cases, when you ask yourself to identify the biggest consumer of resources, you ll see that the answer is your SQL statements. Yes, we re back to dealing with SQL again. It s important to verify that your PL/SQL program logic is sound and it performs well, but it s even more important to make sure that your SQL is efficient. So let s see how you can determine just what s going on in a SQL statement next.

Let s create an instance of one:

Hey, Don t Forget SQL!

scala> val p = Person("David", 45, true)

The standard architectural model for building a web application now is the Model View Controller (MVC) pattern, shown in Figure 6-1. I will present this briefly before embarking on a discussion of the specific implementations that are available to you when building a Spring application.

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