![]() After several refactorings (see Martin Fowler's Refactoring), my coding logic became straightforward, nearly systematic. My source code contained several dozen calls for the next token of a StringTokenizer object. My first solution used a loading class to load the objects' data from a flat file. This article charts this evolution from runtime reflection to active code generation. Over time, the novelty faded to reveal the complexity and risk of runtime reflection. Initially a dynamic, reflection-based program was far more attractive than a simpler approach. Originally, I intended to demonstrate a solution using reflection during runtime for data marshaling. A solution using reflection, which I'll describe here, often requires less coding, and updates itself when changes are made to the target Java class. Coding a load procedure is often tedious and subject to frequent updates and rewrites due to changes to the source data or the target Java class. Anyone who has dealt with a large system using XML has encountered this problem. To further complicate the situation, the same problem may crosscut the system's breadth. ![]() Now, what if the target Java classes for the data change on a weekly basis? A straightforward solution still works, but you must continually maintain the loading procedures to reflect any changes. setUrls (ClasspathHelper.forJavaClassPath ()) ) Set types reflections.getTypesAnnotatedWith (Scannable.class) Share Improve this answer Follow edited at 12:48 Apurv 3,713 3 30 51 answered at 8:25 Renato 12.The problem is simple enough: load data from a file into an object's fields. Example: Reflections reflections new Reflections ( new ConfigurationBuilder (). ![]() Data marshaling (pulling data from an outside source and loading it into a Java object) can utilize the benefits of reflection to create a reusable solution.
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