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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.



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Spyware is classified as any software that covertly gathers information through an Internet connection without the user s knowledge, usually for advertising and marketing purposes. Once installed, spyware monitors Internet activity and transmits that information in the background to another party. It is usually covertly installed, allowing an attacker to gain access to your personal data or track your Internet usage and is often responsible for identity theft, password exposure, fraud, slow Internet activity, and sluggish computer performance. It is often bundled as a hidden component of free or shareware programs downloaded from the Internet. It is a common misconception that spyware incidents on the Mac are not possible. Although it is true that they are less common and do not install themselves automatically simply by browsing certain web sites, as they do on Windows machines, spyware is a very real threat on any platform. Spyware merely needs to be installed to begin its information gathering and installation can take place using a variety of methods, most notably using files downloaded from web sites.





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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:

7. One really good resource is Jeff Clark s www.neoformix.com. His analytical posts on the characteristics of top reddit posts and Digg topic popularity (www.neoformix.com/2006/RedditAnalysis.html and www. neoformix.com/2006/DiggAnalysis1.html, respectively) are very good.

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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.

Because spyware attackers are rather skilled at what they do, as a community, operating system developers have been unable to completely eliminate spyware from ravaging systems. Practicing good browser security can help keep your system safe and secure. (We cover web browser security in more detail in 7.) The most common application used to combat spyware on the Mac is MacScan. There are others, but they re not as widely distributed.

If you allowed each user to perform just a parallel 2 query, you would now have 64 concurrent operations taking place on a machine with just four CPUs If the machine was not overwhelmed before parallel execution, it almost certainly would be now In short, parallel execution can also be a terrible idea In many cases, the application of parallel processing will only lead to increased resource consumption, as parallel execution attempts to use all available resources In a system where resources must be shared by many concurrent transactions, such as in an OLTP system, you would likely observe increased response times due to this.

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Free .NET PDF Library - CodePlex Archive
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