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Before any object definition or code you create or modify can kick in, it needs to be compiled. You can do this explicitly using the Compile menu option on most object types pop-up menus. In the case of code, it happens automatically when you save it. What is really important for you as an application developer is that the compiler reports errors, warnings, and best-practice deviations in your code when it tries to compile it. When you compile, a Compiler Output window resembling what you see in Figure 18-19 is displayed.

xcel PivotTable reports can summarize large amounts of data, but there are limits to what can go into different areas of the pivot table layout. When you re working with very large databases, performance can suffer, and creating or refreshing a pivot table can be extremely slow. This chapter outlines some of the limits and discusses ways to optimize the PivotTable performance.

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People often ask if the .NET Common Language Runtime automatically cleans up resources such as file handles the same way it cleans up memory. It s true that when an object gets garbage collected, it may be finalized; if the object is well-implemented, this results in it deallocating any unmanaged resources, closing any outstanding file connections, and releasing any operating system resources. However, although it s appropriate to rely on finalization when prototyping, you should never rely on finalization in code where you re hitting resource limits. For example, let s say you have a loop where you open files using System.IO.File.OpenRead. If you forget to close the file handles, you may quickly allocate thousands of file handles. If you re lucky, the garbage collector may finalize these before you run out of OS resources; but if not, one of your File.OpenRead calls will fail with an exception, even if the file exists on disk. You should also be aware of the potential for memory stickiness. Memory stickiness occurs when the .NET Common Language Runtime is unable to garbage-collect memory even though objects have become unreachable. This happens especially when long-running computations and inactive callbacks hold on to object handles related to the earlier phases of execution of a program. Memory stickiness can also lead to objects never being finalized, reinforcing that you shouldn t rely on finalization to release nonmemory resources. Memory profiling tools such as CLRProfiler are indispensable when you re tracking down memory leaks in production code or long-running applications.

The Compiler Output window consists of four tab pages: Status: This tab page displays a running status of the compilation, where you can see the counts of what the compiler has found. Errors and warnings: This tab page provides a list of all statements that have either generated an error or a warning with all the information you need to find the code that is causing it. Best practices: You have seen this tab page earlier on in this chapter. It is equivalent to the Errors and Warnings tab page, but lists best practice violations instead. Tasks: This tab page lists all occurrences in the code of // TODO: statements. This is a very useful feature when for some reason you lack the information or decisions to enable you to finish off a piece of code. You can insert a comment literally as quoted starting with the TODO: keyword and whatever text you want to follow; the compiler will then list all of your TODOs so you can easily find them again. There isn t much more to know about the compiler, but as a matter of curiosity the compiler does not produce binary machine code that can be executed directly. Instead, it produces an intermediate binary form that is then compiled to the target machine binary form by the runtime engine.

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