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Consider the performance consequences of your API design decisions Making a public type mutable may require a lot of needless defensive copying (Item 24) Similarly, using inheritance in a public class where composition would have been appropriate ties the class forever to its superclass, which can place artificial limits on the performance of the subclass (Item 14) As a final example, using an implementation type rather than an interface in an API ties you to a specific implementation, even though faster implementations may be written in the future (Item 34) The effects of API design on performance are very real Consider the getSize method in the javaawtComponent class The decision that this performance-critical method was to return a Dimension instance, coupled ith the decision that Dimension instances are mutable, forces any implementation of this method to allocate a new Dimension instance on every invocation Even though, as of release 13, allocating small objects is relatively inexpensive, allocating millions of objects needlessly can do real harm to performance In this case, several alternatives existed Ideally, Dimension should have been immutable (Item 13); alternatively, the getSize method could have been replaced by two methods returning the individual primitive components of a Dimension object In fact, two such methods were added to the Component API in the 12 release for performance reasons Preexisting client code, however, still uses the getSize method and still suffers the performance consequences of the original API design decisions Luckily, it is generally the case that good API design is consistent with good performance It is a very bad idea to warp an API to achieve good performance The performance issue that caused you to warp the API may go away in a future release of the platform or other underlying software, but the warped API and the support headaches that it causes will be with you for life Once you've carefully designed your program and produced a clear, concise, and wellstructured implementation, then it may be time to consider optimization, assuming you're not already satisfied with the performance of the program Recall that Jackson's two rules of optimization were Don't do it, and (for experts only) Don't do it yet He could have added one more: Measure performance before and after each attempted optimization You may be surprised by what you find Often attempted optimizations have no measurable effect on performance; sometimes they make it worse The main reason is that it's difficult to guess where your program is spending its time The part of the program that you think is slow may not be at fault, in which case you'd be wasting your time trying to optimize it Common wisdom reveals that programs spend 80 percent of their time in 20 percent of their code Profiling tools can help you decide where to focus your optimization efforts Such tools give you run-time information such as roughly how much time each method is consuming and how many times it is invoked In addition to focusing your tuning efforts, this can alert you to the need for algorithmic changes If a quadratic (or worse) algorithm lurks inside your program, no amount of tuning will fix the problem You must replace the algorithm with one that's more efficient The more code in the system, the more important it is to use a profiler It's like looking for a needle in a haystack: The bigger the haystack, the more useful it is to have a metal detector The Java 2 SDK comes with a simple profiler, and several more sophisticated profiling tools are available commercially.

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Test Environment in Java Display qr bidimensional barcode in Java 8 Bar Code barcode library on java use java bar ODBMS had a UNIX file-based6 dynamic database size t also had a dynamic log and write buffer7 ODBMS did not have a server cache like you normally would find in RDBMS With RDBMS, the database and log have to be a fixed size, and this was set up with a 60MB database and 10MB log The database for RDBMS was located on a UNIX raw device, which could give RDBMS a little advantage, but this was the setup at the institute where the benchmarks were being run RDBMS was also set up with an 8MB server cache divided into 2KB buffer pools Inside RDBMS it was possible to make different buffer pools sizes depending upon the kind of I/O.

GTIN - 13 Generator In Java Using Barcode drawer for Java Control to generate, create .The code simply builds an array of the object types and global functions that make up FBJS and then passes it to JavaScript s Arrayjoin() function to make a string out of themThis string is executable JavaScript code, so it s passed as an argument to an eval() call to execute the joined string as code, which initializes the sandbox As you can see, the FBJS sandbox is built from several internal Facebook objects that expose a specific set of functions and properties to the client, many of which are covered in this chapter In Listing 113, the bold names are the actual object names you use in FBJS to access each type s functions or properties For example, if you look at Listing 111, you can notice the original call to documentgetElementById() was replaced with a[app id]_documentgetElementById() In our code, however, we just used document, not a[app id]_document Notice that, in Listing 113, the a[app_id]_document object is created from a line in the code array in the bootstrap() function It s an instance of a type known as fbjs_main, but this is hidden from the userThey just use the document object as they normally would in regular JavaScriptThe fbjs_main object exposes specific functions from its underlying DOM document object for FBJS use.Related: Creating Intelligent Mail .NET

The default value is 2KB, but with more I/O, larger buffer pool sizes can be used (up to a maximum of 16KB) Even after several different query tests, larger buffer pools were not chosen by the DBMS so the 2KB buffer pools were kept On the client side, a Sun Sparc 10 (clone) was used with 1 CPU, 96MB RAM, and Sun Solaris 26 Only ODBMS had an 8MB client cache present because of the nature of ODBMS To obtain access to this machine at off-peak periods (eg, late at night or on weekends), a PPro 200 MHz with NT 40 was used with PC-Xware 50c Using this, the client program could be run on the Sun Sparc 10 client in a UNIX window from this Windows machine.

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not running, it is started, and several named pipe connections are established between the ISAPI DLL and : February 11 2003 the worker process Once these connections are established, the request is sent across a named pipe to the ISBN : 0-201-76040-1 ASPNET worker process for handling Inside the worker process, ASPNET routes the request to a Pages : 432 designatedAppDomain and dispatches it to the HTTP pipeline in that AppDomain The end result of the request passing through the pipeline is the compilation (first time only) and creation of a class that implements the IHttpHandler interface, typically your Page-derived class This handler acts as the endpoint of the request, populates the response buffer, and delivers the response back through the same "This well-conceived and well-writtenup sendingextensive knowledge and priceless4-1 depicts this high-level channels it came from until IIS ends book has back the response buffer Figure experience overflowing from of request It captures in ASPNET view its pages processing the true essence of ASPNET and walks the reader to a high level of technical and architectural skill"-J Fred Maples, Director of Software Engineering, NASDAQcom [9] It is possible to host ASPNET using another mechanism for dispatching and processing requests Microsoft has produced a sample is the C# programmer's definitive hosting ASPNET in a through Essential ASPNET with Examples in C# called Cassini, which demonstrates reference for ASPNETcustom Web server application For more details, see . Essential ASPNET with Examples in C#. Make Bar Code In VB.NET Using Barcode drawer for .Related: 

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