Singleton pattern is the most pervasive pattern in the Spring containerization approach. If we look at that in terms of architectural primitives - they form a blackboard graph of objects, to which every thread can read and write. They do the dramatic act of synchronizing between multiple threads. The very reason why multiple threads need to synchronize is because there are always resources that underlie a computational program, over which contention might occur. Consider what is called a 'last seat problem'. A flight is being booked, but there are multiple ways to do it. For simplicity lets assume that the data about the flight occupancy is stored in a flat file rather than a database. Now, if there are two threads, each functionally different (i.e represented by different endpoints in the webapp) and let one of these threads A, be the thread which a prospective passenger uses to make a booking and the other one B is which a flight manager uses to close the booking - virtually closing the boarding door. Then, if these threads do not use singleton, the flight object would be detached from the real resource out-there, which we say not the actual aeroplane but the entry in the flat file. The A thread would have reference to an object, while the passenger is still fighting a dilemma whether to fly or not and then finally when he makes up his mind, the B thread would already have closed the door. But the object referenced by the A thread would still show one more seat to go. Now, cutting out the RDBMS due to our initial assumption, the system would write a ticket for the passenger and issue it to him eventhough the boarding is closed. Now, in a singleton implementation, the moment the theread B accesses the system, the universal object Flight is updated with status closed. Hence, if the passenger finally makes up his mind and clicks confirm, he would get an error right away. All this would not have been possible without the singleton. Hence, singleton allows you to stay close to the resources and avoids thread contention.

管理到数据库的连接(或连接池)。

我还会使用它来检索和存储外部配置文件中的信息。

当你加载一个配置属性对象时，无论是从数据库还是从文件中，将它作为一个单例都会有所帮助;没有理由在服务器运行时重新读取不会改变的静态数据。

使用单例的方法之一是覆盖一个实例，其中必须有一个“代理”控制对资源的访问。单例在日志记录器中很好，因为它们代理访问，比如说，一个文件，这个文件只能被写入。对于像日志这样的东西，它们提供了一种方法来抽象出对日志文件之类的东西的写操作——你可以将缓存机制包装到你的单例中，等等……

也可以考虑这样一种情况，你有一个应用程序，有许多窗口/线程等，但它需要一个单一的通信点。我曾经使用它来控制我希望应用程序启动的作业。单例程序负责将作业序列化，并将它们的状态显示给程序中其他感兴趣的部分。在这种情况下，你可以把单例对象看作是在应用程序中运行的“服务器”类……HTH

正如大家所说，共享资源——特别是不能处理并发访问的资源。

我所见过的一个具体例子是Lucene搜索索引写入器。

当您想要确保一个类将有一个实例，并且该实例将有一个全局访问点时，您可以使用单例设计模式。

假设您有一个应用程序，它需要数据库来处理CRUD操作。理想情况下，您应该使用与数据库相同的连接对象来访问数据库并执行CRUD操作。

因此，为了确保数据库类有一个对象，并且该对象将在整个应用程序中使用，我们实现了单例设计模式。

确保构造函数是私有的，并且提供了一个静态方法来提供对单例类的单个对象的访问