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In this section, we explain the exception introduction pattern that deals with the problems associated with the introduction of concern-specific exceptions via AspectJ. The pattern can also be used to handle business-specific exceptions that are caught in reusable, generic aspects. 8.3.1 The current solution Sometimes when you add an aspect that implements some crosscutting logic into a system, the advice in the aspect needs to catch a checked exception thrown by the execution of the underlying logic. Dealing with the caught exception after

Because updating a primary key is a huge no-no in a relational database, this is generally not an issue with updates Where I have seen this updating of the primary key become a serious issue is when developers use tools that generate SQL for them, and those tools update every single column, regardless of whether the end user actually modified that column or not For example, say that we use Oracle Forms and create a default layout on any table Oracle Forms by default will generate an update that modifies every single column in the table we choose to display.

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Parallel recovery: This is the ability of the database to perform instance or even media recovery in parallel in an attempt to reduce the time it takes to recover from failures. Procedural parallelism: This is the ability to run our developed code in parallel. In this chapter, I ll discuss two approaches to this. The first approach involves Oracle running our developed PL/SQL code in parallel in a fashion transparent to developers (developers are not developing parallel code; rather, Oracle is parallelizing their code for them transparently). The other is something I term do-it-yourself parallelism, whereby the developed code is designed to be executed in parallel. We ll take a look at two methods to employ this do-ityourself parallelism, a rather manual implementation valid for Oracle Database 11g Release 1 and before and a new automated method available in Oracle Database 11g Release 2 and above.

If we build a default layout on the DEPT table and include all three fields, Oracle Forms will execute the following command whenever we modify any of the columns of the DEPT table: update dept set deptno=:1,dname=:2,loc=:3 where rowid=:4 In this case, if the EMP table has a foreign key to DEPT and there is no index on the DEPTNO column in the EMP table, then the entire EMP table will be locked during an update to DEPT This is something to watch out for carefully if you are using any tools that generate SQL for you Even though the value of the primary key does not change, the child table EMP will be locked after the execution of the preceding SQL statement In the case of Oracle Forms, the solution is to set that table s UPDATE CHANGED COLUMNS ONLY property to YES.

Parallel execution can be fantastic. It can allow you to take a process that executes over many hours or days and complete it in minutes. Breaking down a huge problem into small components may, in some cases, dramatically reduce the processing time. However, one underlying concept that is useful to keep in mind while considering parallel execution is summarized by this very short quote from Practical Oracle8i: Building Efficient Databases (Addison-Wesley, 2001) by Jonathan Lewis:

executing the logic often poses unclear choices. Let s set up an example to help us understand the problem and its current solution. Consider BusinessClass, in listing 8.11, a generic representation of any business entity that implements core concerns. It contains a few business methods, one of which will throw a checked BusinessException.

Although this quote is a decade old as of this writing, it is as valid today, if not more so, as it was back then Parallel execution is essentially a nonscalable solution It was designed to allow an individual user or a particular SQL statement to consume all resources of a database If you have a feature that allows an individual to make use of everything that is available, and then allow two individuals to use that feature, you ll have obvious contention issues As the number of concurrent users on your system begins to overwhelm the number of resources you have (memory, CPU, and I/O), the ability to deploy parallel operations becomes questionable If you have a four-CPU machine, for example, and you have 32 users on average executing queries simultaneously, the odds are that you do not want to parallelize their operations.

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