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Specifies default entity listeners
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Figure 3.2 Domain-oriented architecture uses the objects of a business domain as the building blocks of the system. Entity beans embrace a domain-oriented design, but fine-grained access to the model usually harms performance. Modern designs hide the fine-grained objects of a domain behind a facade.
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Or, using the object initializer syntax I talked about back in 9, you can create the instance and fill in its fields, all in one statement.
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Or you could achieve the same results with programmatic configuration:
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After you define these types, you ll be able to call into the method just fine.
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<html> <head> <link rel='stylesheet' type='text/css' href='mousemat.css' /> <script type='text/javascript' src='extras-array.js'></script> <script type='text/javascript' src='eventRouter.js'></script> <script type='text/javascript'> var cursor=null; window.onload=function(){ var mat=document.getElementById('mousemat'); cursor=document.getElementById('cursor'); var mouseRouter=new jsEvent.EventRouter(mat,"onmousemove"); mouseRouter.addListener(writeStatus); mouseRouter.addListener(drawThumbnail); } function writeStatus(e){ window.status=e.clientX+","+e.clientY
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package com.bitterejb.boatshop; import javax.ejb.*; import java.rmi.*; /** * Container-managed persistence entity bean that implements the Kayak * domain object. */ public abstract class KayakEJB implements EntityBean { private EntityContext context = null; public public public public public public public abstract abstract abstract abstract abstract abstract abstract Long getId(); void setId(Long id); boolean getIsRented(); void setIsRented(boolean rented); String getRenter(); void setRenter(String renter); String getLocation();
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Sparking controversy
Listing 10.7 Code-behind for the Yahoo Search class
The Parallel class provides a couple of methods for performing data-driven parallel execution. Its For and ForEach methods are similar in concept to C# for and foreach loops, but rather than iterating through collections one item at a time, on a system with multiple logical processors available it will process multiple items simultaneously. Example 16-24 uses Parallel.For. This code calculates pixel values for a fractal known as the Mandelbrot set, a popular parallelism demonstration because each pixel value can be calculated entirely independently of all the others, so the scope for parallel execution is effectively endless (unless machines with more logical processors than pixels become available). And since it s a relatively expensive computation, the benefits of parallel execution are easy to see. Normally, this sort of code would contain two nested for loops, one to iterate over the rows of pixels and one to iterate over the columns in each row. In this example, the outer loop has been replaced with a Parallel.For. (So this particular code cannot exploit more processors than it calculates lines of pixels therefore, we don t quite have scope for per-pixel parallelism, but since you would typically generate an image a few hundred pixels tall, there is still a reasonable amount of scope for concurrency here.)
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