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With lazy initialization, the object is first set to null. Whenever the object is requested, the object is checked, and if it is null, the object is then immediately created and returned. For example, lazy loading for a widget can be implemented in the C# programming language as such:
In computer programming, lazy initialization is the tactic of delaying the creation of an object, the calculation of a value, or some other expensive process until the first time it is needed.
A singleton implementation may use lazy initialization in which the instance is created when the static method is first invoked. In multithreaded programs, this can cause race conditions that result in the creation of multiple instances. The following Java 5+ example [6] is a thread-safe implementation, using lazy initialization with double ...
The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.
The following example is in the language Java, and shows how the contents of a tree of nodes (in this case describing the components of a car) can be printed. Instead of creating print methods for each node subclass ( Wheel , Engine , Body , and Car ), one visitor class ( CarElementPrintVisitor ) performs the required printing action.
For example, the factory interface is commonly implemented as a singleton to provide global access for creating flyweights. Generally speaking, the retrieval algorithm begins with a request for a new object via the factory interface. The request is typically forwarded to an appropriate cache based on what kind of object it is. If the request is ...
In software engineering, the initialization-on-demand holder (design pattern) idiom is a lazy-loaded singleton. In all versions of Java, the idiom enables a safe, highly concurrent lazy initialization of static fields with good performance. [1] [2]
In software engineering, double-checked locking (also known as "double-checked locking optimization" [1]) is a software design pattern used to reduce the overhead of acquiring a lock by testing the locking criterion (the "lock hint") before acquiring the lock.