The meaning of "setting to Nothing"

本文探讨了从VB6迁移至VB.NET时资源管理的变化,特别是在对象销毁方式上的不同。VB6中通过将对象设为Nothing来触发Class_Terminate事件并立即释放资源,而在VB.NET中则依赖于垃圾回收机制,导致资源释放存在延迟。文章提供了通过自定义SetNothing方法减少这一问题影响的方法。

Origin:http://www.dotnet2themax.com/blogs/fbalena/CategoryView,category,Migrating%20from%20VB6.aspx

 

In the VB6 world - and in the COM world, in general - you "destroy" an object by simply putting it to Nothing, unless of course there are other variables that are pointing to that specific instance. The VB6 runtime invokes the Class_Terminate method, if it exists, then it deallocates all the resources belonging to the object, memory included. This is a recursive process, and destroys any object that is owned by the object being set to Nothing.

We know well that setting a VB.NET object variable to Nothing doesn't fire any event, because the Terminate event isn't supported in .NET. If the object implements the Finalize method, this method is invoked by the garbage collection, but this invocation occurs some time later. The time interval between the Set to Nothing statement and the invocation of Finalize depends on many factors, but it could be as long as a few minutes or even hours, if the application doesn't allocate many objects and doesn't stress the garbate collector.

This behavioral difference can be a serious issue when migrating a VB6 application to VB.NET. For example, if the code in Class_Terminate closes a database connection, or a file, or a serial port, or deletes confidential information from disk, or unloads a form, then the delay between the "logical" destruction of the object (i.e. the Set to Nothing) and its "physical" destruction (when the Finalize method runs) can compromise the correct working of the application after its migration to the .NET world.

Unfortunately, it isn't possible to have VB.NET "automagically" behave like VB6 in this respect. However, it is possible to take a step that can greatly reduce the problem, without much impact on the code structure. Once again, this is possible thanks to generics. To see how, create a Module and add the following code to it, so that the SetNothing method is visible to the entire application:

 

Public Sub SetNothing( Of T)( ByRef obj As T)
  
' Dispose of the object if possible
  
If obj IsNot Nothing AndAlso TypeOf obj Is IDisposable Then
     
DirectCast (obj, IDisposable).Dispose()
  
End If
  
' Decrease the reference counter, if it's a COM object
  
If Marshal.IsComObject(obj) Then
     
Marshal.ReleaseComObject(obj)
  
End If
  
obj = Nothing
End Sub

Next, you can apply the search-and-replace feature in Visual Studio to the code produced by the migration wizard, to replace all occurrences of the var = Nothing pattern with the SetNothing.(var) pattern. Obviously, this technique doesn't really solve all the abovementioned problems, because it works only with the variables that are explicitly set to Nothing via code, and doesn't work with variables that are implicitly cleared when they exit the current scope (for example at the end of the method).

Notice that the search-and-replace operation include a variable part - that is, the name of the instance that is set to Nothing - therefore making this replacementement automatically seems impossible or unpractical. But, fortunately, Visual Studio supports regular expressions in search-and-replace operations (as I explain here), therefore you can search for the <{:i} = Nothing string and specify the SetNothing(/1) string in the Replace with field. Et voilà :-)

NOTE for those who are unfamiliar with regexes: the Find What string specifies that you want to search for a variable name (:i) that is located at the beginning of a word (<); curly braces in {:i} cause the variable name to be tagged, so that you can refer to the variable name in the Replace With regular expression, by means of the /1 placeholder. That's it.

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09-21
【数据驱动】【航空航天结构的高效损伤检测技术】一种数据驱动的结构健康监测(SHM)方法,用于进行原位评估结构健康状态,即损伤位置和程度,在其中利用了选定位置的引导式兰姆波响应(Matlab代码实现)内容概要:本文介绍了一种基于数据驱动的结构健康监测(SHM)方法,利用选定位置的引导式兰姆波响应对航空航天等领域的结构进行原位损伤检测,实现对损伤位置与程度的精确评估,相关方法通过Matlab代码实现,具有较强的工程应用价值。文中还提到了该技术在无人机、水下机器人、太阳能系统、四轴飞行器等多个工程领域的交叉应用,展示了其在复杂系统状态监测与故障诊断中的广泛适用性。此外,文档列举了大量基于Matlab/Simulink的科研仿真资源,涵盖信号处理、路径规划、机器学习、电力系统优化等多个方向,构成一个综合性科研技术支持体系。; 适合人群:具备一定Matlab编程基础,从事航空航天、结构工程、智能制造、自动化等相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①用于航空航天结构、无人机机体等关键部件的实时健康监测与早期损伤识别;②结合兰姆波信号分析与数据驱动模型,提升复杂工程系统的故障诊断精度与可靠性;③为科研项目提供Matlab仿真支持,加速算法验证与系统开发。; 阅读建议:建议读者结合文档提供的Matlab代码实例,深入理解兰姆波信号处理与损伤识别算法的实现流程,同时可参考文中列出的多种技术案例进行横向拓展学习,强化综合科研能力。
【无人机论文复现】空地多无人平台协同路径规划技术研究(Matlab代码实现)内容概要:本文围绕“空地多无人平台协同路径规划技术”的研究展开,重点在于通过Matlab代码实现对该技术的论文复现。文中详细探讨了多无人平台(如无人机与地面车辆)在复杂环境下的协同路径规划问题,涉及三维空间路径规划、动态避障、任务分配与协同控制等关键技术,结合智能优化算法(如改进粒子群算法、遗传算法、RRT等)进行路径求解与优化,旨在提升多平台系统的协作效率与任务执行能力。同时,文档列举了大量相关研究主题,涵盖无人机控制、路径规划、多智能体协同、信号处理、电力系统等多个交叉领域,展示了该方向的技术广度与深度。; 适合人群:具备一定Matlab编程基础和路径规划背景的研究生、科研人员及从事无人机、智能交通、自动化等相关领域的工程技术人员。; 使用场景及目标:①用于学术论文复现,帮助理解空地协同路径规划的核心算法与实现细节;②支撑科研项目开发,提供多平台协同控制与路径优化的技术参考;③作为教学案例,辅助讲授智能优化算法在无人系统中的实际应用。; 阅读建议:建议结合提供的Matlab代码进行实践操作,重点关注算法实现流程与参数设置,同时可参照文中列出的其他相关研究方向拓展技术视野,建议按目录顺序系统学习,并充分利用网盘资源进行仿真验证。
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