![]() ![]() Traceability - if a reflective method call fails, it might be tricky to find a line of code that caused this because stack trace is usually huge. If you write a code that invokes a method via its reference and passes wrong parameters, the invocation will fail at runtime, not at compile time or load time. Type safety - if you use method reference in your code, it is just a method reference. We can see a great improvement in reflection API performance with every JVM release, JIT compiler’s optimization algorithms are getting better, but reflective method invocations are still about three times slower than direct ones. Speed - reflection calls are slower than direct calls. Some AOP frameworks rely on reflection for method execution interception.Īre there any problems with reflection? We can think of about three of them: Also, you can add aspect-oriented programming to this list. For the most popular IoC frameworks, the reflection API is a cornerstone because of extensive usage of class proxying, method reference usage, etc. Just think about annotation processing, data serialization, method binding via annotations, or configuration files. I’d dare to say that Java won’t become what it is now without reflection. "Reflection is the ability of a computer program to examine, introspect, and modify its own structure and behavior at runtime."įor most Java developers, reflection is not a new thing and it is used in many cases. In this article, we’ll look at reflection API, pros and cons for its usage, and review other options to replace reflection API calls - AOT compilation and code generation and LambdaMetafactory. Reflection calls have their cost, and if you develop a production-class framework, even tiny improvements may pay back in a short time. You can always implement method listener by storing instances for annotated methods and invoke them like it is implemented in many frameworks, but we decided to have a look at other options. In the previous version of the framework, a lot of boilerplate code registering listeners in screen’s init() method made your code almost unreadable, so the new concept should have cleaned this up. In the new version of the CUBA framework, we decided to improve many aspects of the architecture and one of the most significant changes was deprecating “classic“ event listeners in the controllers UI. In such cases, you always have an answer: use reflection! The problem with this design was that it was freakishly verbose and resulted in ultra-dense, ugly code even for simple operations.Sometimes, as a developer, you may bump into a situation when it’s not possible to instantiate an object using the new operator because its class name is stored somewhere in configuration XML or you need to invoke a method that's name is specified as an annotation property. The original design of the interpreter utilized a “catch all” base class that relied on overridden methods to handle most interactions with the interpreter (very similar to how Python handles operator overloading). The language is dynamically typed and compiles into a custom bytecode format that is run by an interpreter written in Java. Over the last few months I’ve been putting most of my free time into a scripting language/interpreter for game development. The other day, however, I encountered a situation where reflection significantly outperformed the alternatives. Probably most of us have seen about a bajillion benchmarks comparing reflection to direct method dispatch, lambdas, etc., and reflection usually loses badly. When reading up on Java reflection it’s hard to browse very far without hearing about how slow reflection supposedly is.
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