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original developer had left the company years earlier. The code was so complex and difficult to comprehend that not a single developer was comfortable fixing bugs for fear that he or she would cause a dozen other failures. Fortunately, that component was completely rewritten for the following release of the Windows operating system, but every once in a while, I still hear stories about bugs that can't be fixed because everyone is too scared to touch the code. Any time simplicity isn't part of the initial design and implementation of the software, there is potential for the code to grow into a nonmaintainable mess. Subjective methods such as intuition or gut feel can be effective means to identify complex code, but there are objective measures of code complexity that can assist in determining where bugs can be hiding. The simplest measure of code complexity might be lines of code (LOC). An application with 1,000 lines of code typically is less complex than an application with 10,000 lines of code is. Mathematics alone can lead you to believe that the 10,000-line project would have 10 times as many bugs as the 1,000-line project, but in practice, the 10,000-line project often has many, many more bugs. However, because of discrepancies in how lines of code are counted (see the following section), as well as numerous other external factors, lines of source code is generally discarded as an accurate complexity metric. Many other complexity measurements can be used to predict where bugs can occur, and some of those measurements are described in subsequent sections.



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this little requirement is enough to lead us to discard the option of making the object available by value As an MBR object, the remotable class can be client-activated or server-activated What's better to us The ServiceSalesProvider class doesn't need a nondefault constructor, so both clientactivated and server-activated modes are fine The object is expected to work as a oneoff service and has no need to maintain per-client state, so you can discard the clientactivated option and go for the server-driven activation OK, but should you opt for Singleton or SingleCall SingleCall that is, a short-lived instance that serves the request and dies is certainly an option If you use the object as a Singleton, however, you can architect slightly more efficient code and avoid having to query SQL Server each and every time a request comes in.





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To tickle the event, have a separate executable that the user will execute to set the event DWORD WINAPI DumperThread ( LPVOID ) { HANDLE hEvents[2] ; 533.

hEvents[0] = CreateEvent ( NULL TRUE FALSE _T ( "DumperThread" ) hEvents[1] = CreateEvent ( NULL TRUE FALSE

How many lines of code are in a program How can such a simple question be so difficult to answer Let's start with something simple:

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The remoting code included in this book's sample files makes use of the ServiceSalesProvider class configured to run as a SingleCall object Memory Management SingleCall objects present no problems in terms of memory management They require a new object instance that is extremely volatile and does not survive the end of the method's code Singleton and client-activated objects, on the other hand, need a mechanism to determine when they can be safely destroyed In COM, this issue was resolved by implementing reference counting In the NET Remoting system, the same tasks are accomplished using a new module: the LM Unlike reference counting, the LM works on a per-AppDomain basis and allows objects to be released even though clients still hold a reference Let's quickly review the differences between these two approaches.

, , , ) ; , , ,

_T ( "KillDumperThread" ) ) ; int iRet INFINITE); { // You might want to create a unique filename each time SnapCurrentProcessMiniDump ( MiniDumpWithFullMemory , _T ( "ProgramDMP" ) iRet INFINITE); } VERIFY ( CloseHandle ( hEvents[ 0 ] ) ) ; VERIFY ( CloseHandle ( hEvents[ 1 ] ) ) ; return ( TRUE ) ; } Review the Code And Review the Code Again If you really do need to multithread your application, you must allow plenty of time to walk through your multithreaded code in full code reviews The trick is to assign one person to each thread in your code and one person to each synchronization object In many ways, the code review in multithreaded programming is really a "multithreaded" review.

if (x < 0) i = 1; else i = 2;

Old-Fashioned Reference Counting Reference counting requires clients including, of course, distributed and remote clients to communicate with the server each time they connect or disconnect The object maintains the number of currently active client instances, and when the count goes to 0, the object destroys itself In the presence of an unreliable network, however, chances are good that some objects might remain with a reference count that never goes to 0 If this weren't bad enough, the continual sequence of AddRef/Release calls would generate significant network traffic The Lease Manager (LM) The idea behind leasing is that each object instance is leased to the client for a given amount of time fixed by the LM The lease starts when the object is created By default, each Singleton or client-activated object is given 5 minutes to process incoming calls When the interval ends, the object is marked for deletion.

When you review the code, pretend that each thread is running at real-time priority on its own dedicated CPU and that the thread is never interrupted Each "thread person" walks through the code, paying attention only to the particular code that his thread is supposed to be executing When the "thread person" is ready to acquire a synchronization object, the "object person" literally moves behind the "thread person" When the "thread person" releases a synchronization object, the "object person" goes to a neutral corner of the room In addition to the thread and object representatives, you should have some developers who are monitoring the overall thread activity so that they can assess the program's flow and help determine the points at which different threads deadlock.

During the object's lifetime, however, any processed client call resets the lease time to a fixed value (by default, 2 minutes), thus increasing or decreasing the overall lease time Note that leasing is managed exclusively on the server and doesn't require additional network traffic, apart from the traffic needed for normal method execution The initial lease time and the renewal period can be set both programmatically and declaratively in the configuration file Getting a Sponsor Another mechanism for controlling an object's lifetime is sponsorship Both clients and server objects can register with the AppDomain's LM to act as sponsors of a particular object Prior to marking an object for deletion when its lease expires, the NET Remoting run time gives sponsors a chance to renew the lease By implementing 446.

if (x < 0) i = 1; else i = 2;

As you're working through the code review, keep in mind that the operating system has its own synchronization objects that it applies to your process and that those objects can cause deadlocks as well The process critical section, explained in the next section's Debugging War Story "The Deadlock Makes No Sense," and the infamous Microsoft Windows 9x/Me Win16 mutex are both synchronization objects that the operating system uses in your process Be sure to pay attention to anything that could possibly cause any sort of contention in your application 534 = WaitForMultipleObjects ( 2 , hEvents , ) ; FALSE , = WaitForMultipleObjects ( 2 , hEvents , FALSE ,.

while ( iRet != 1 )

sponsors, you can control the lifetime of objects based on logical criteria rather than strict time intervals. In summary, nothing can guarantee that clients will always find their server objects up and running. When a remoting client attempts to access an object that is no longer available, a RemotingException exception is thrown. One way to resolve the exception is by creating a new instance of the remote object and repeating the operation that failed.

You would have a hard time counting the second example as four lines it is two lines, or at least it is formatted as two lines. Personally, I don't like the formatting of either example. Given the same code, I'd prefer to write it like this:

Test on Multiprocessor Machines As I mentioned, a multithreaded application requires a much higher level of testing than a single-threaded one The most important tip I have for testing your multithreaded application is to test it thoroughly on multiprocessor machines And I don't mean simply running your application through a few paces; I mean continually testing your program in all possible scenarios Even if your application runs perfectly on single-processor machines, a multiprocessor machine will turn up deadlocks you never thought possible The best approach to this kind of testing is to have the team's developers running the application on multiprocessor machines every day.

If you're a manager and you don't have any multiprocessor machines in your shop, stop reading right now and immediately equip half your developers and QA testers with multiprocessor machines! If you're a developer without a multiprocessor machine, show this chapter to your manager and demand the proper equipment to do your job! Several people have written me and mentioned that showing this chapter really did help them get a multiprocessor machine, so don't hesitate to tell your manager that John Robbins said the company owed you one Debugging War Story: Saving Some Jobs The Battle When a vice president of development called and said he wanted me to work on his team's deadlock now, I knew this job was going to be tough The guy was abrupt and not too happy that he had to bring a consultant in to help his team.

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