In computer programming, lazy initialization is a strategy designed to delay object creation, value calculation, or other resource-consuming processes until they are first needed. This approach can be thought of as a lazy evaluation, specifically for the materialization of objects or other resources.
Lazy initialization first checks the private member variable. If it has been initialized, its value is returned immediately; if it is not initialized, a new instance is created and the variable is placed.
In this way, the application does not have to spend time creating all objects at startup. Especially when the properties of some objects are not used frequently, lazy initialization can significantly improve startup speed. While there may be a slight impact on memory and execution loops on average performance, the impact is concentrated over time, so median system response times can be expected to improve significantly.
In multi-threaded code, access to lazy-initialized objects must be synchronized to prevent race conditions from occurring.
From a software design pattern perspective, lazy initialization is often used in conjunction with the factory method pattern. These three ideas come together:
Many programming languages provide support for lazy initialization. Here are some examples:
The following is a simple lazy initialization example:
In C language, lazy evaluation is usually implemented using static variables inside a function.
In .NET Framework 4.0, Microsoft has added a new Lazy class that supports lazy loading.
In Java, using lazy initialization can improve program efficiency, as shown below:
JavaScript can also be related to lazy initialization.
Python's lazy initialization example demonstrates a similar concept.
In theoretical computer science, lazy initialization is also called lazy array, which is a technique designed to operate on memory structures that do not require initialization. Through the lazy initialization technique, m units can be assigned to an uninitialized array in O(m) operations instead of initializing all units first.
Lazy initialization can not only improve application performance, but also make efficient use of resources and avoid unnecessary calculations and object creation. Its applicability spans multiple programming languages and provides powerful support for data structure design in theory. In this era of rapid information change, can we make good use of this technology to optimize our workflow and application design?