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In this chapter we ve examined the ThreadPool class. We ve seen that it is an easy way to distribute small units of work among multiple threads. We ve also seen that the .NET framework itself relies on the ThreadPool class for much of its asynchronous processing such as server-based timers and network communication. The next chapter introduces the concept of ThreadStatic data and thread local storage.
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ThreadStatic and thread local storage
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11.1 11.2 11.3 11.4 11.5 Using ThreadStatic variables 195 Using unnamed data slots 197 Using named data slots 199 Freeing named data slots 201 Summary 203
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Sharing data is a primary concern in multithreaded programming. One way to minimize development effort is to restrict access to data elements to a single thread. Thread local storage (figure 11.1) is a way to create a variable that can store values associated with each thread. This allows the code of each thread to reference what appears to be the same data element but is instead associated with the referencing thread. Stack-based variables are inherently local to a thread. Additionally, if an instance of a class contains a single thread, the instance variables of that class are also local to the thread. In cases where static/shared variables must be used, or multiple threads are associated with a class, some means must be taken to ensure that concurrency issues are addressed. One way to do this is by using the ThreadStatic attribute. Additionally, more primitive thread local storage mechanisms are introduced. Thread local storage is a powerful construct. In situations where a class cannot be restricted to containing a single thread, it is an alternative to using synchronization constructs on a shared data element. If a data element is associated with one, and only one, thread then using thread local storage may be an ideal solution.
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Figure 11.1 Thread local storage
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Unrestricted data sharing between threads is a risky thing to do. In previous chapters we ve seen that synchronization objects, such as the Monitor class, can be used to restrict access to data by multiple threads. If a variable is not a communication mechanism, there generally is no reason for it to be shared among threads. One way that a variable is not shared is by declaring it local to a method. When a local variable is declared in a method, it is created on the stack of the thread that executed the statement. We declare a variable in a method and rightly assume that no other thread will manipulate it. The following instructions create a thread stack based variable named x. The variable x is local to the StackBasedVariable method:
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Private Sub StackBasedVariable() Dim x As Integer End Sub
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Alternatively, variables can be declared as instance variables of a class. In the next example, ClassVariable is an instance variable. This means that its value can differ between each instance of ClassTestStatic.
Public Class ClassTestStatic Private ClassVariable As Integer <ThreadStatic()> Private Shared ThreadStaticVariable As Integer Private Shared StaticVariable As Integer Private Sub StackBasedVariable() Dim x As Integer End Sub End Class
StaticVariable is a shared variable. Some languages refer to shared/static variables as class variables. The value in StaticVariable is the same across all instances of ClassTestStatic. The term shared implies that the variable is shared among all instances of the class. This is correct. However, static/shared variables do not require an instance of the class to exist. The following is perfectly legal and sometimes desired:
Private Sub Test() ClassTestStatic.StaticVariable = 1 ClassTestStatic.ThreadStaticVariable = 1 End Sub
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The variable ThreadStaticVariable is a different sort of shared/static variable. In a single-threaded application it behaves the same as StaticVariable. The difference is that when more than one thread accesses the variable its value will be determined based on the thread that is accessing it. The best way to think of it is that there is an array of ThreadStaticVariables. The element of the array that is accessed is determined by the thread accessing it. This isn t exactly how it s implemented, but it would be possible to implement thread local storage that way.
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