Build-Time Annotation Index for Java Class Lookup
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Solution Overview
Problem
In software systems, particularly in object-oriented languages like Java, determining and finding annotated classes is cumbersome and inefficient, requiring manual registration or slow scanning methods, which complicates development, integration, and maintenance.
Innovation Solution
A pre-cached index file is generated during the build time of code, mapping annotations to classes and archiving them, allowing for efficient lookup and reducing the need for manual registration or recompilation, thereby speeding up startup times and reducing build costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a scanner method is used to seek annotated classes, then the method is direct and simple, but the startup time becomes slow
Solution Approach 1:
The patent applies preliminary action by generating an index file during the build process that pre-maps annotation types to their corresponding classes. This index is created beforehand and stored, eliminating the need for slow runtime scanning. The build process automatically generates this mapping structure, so when the application starts, it can quickly lookup annotated classes using the pre-prepared index without performing time-consuming scans.
2Loss of time
If a registration method is used to seek annotated classes, then the startup time is faster, but manual registration is required which increases complexity
Solution Approach 1:
The patent implements self-service by making the build process automatically generate the annotation index without requiring manual registration. The index generation is performed automatically during compilation based on the actual annotations present in the codebase. This eliminates the need for developers to manually register classes while still achieving fast startup times through the pre-generated index structure.
3Measurement precision
If manual registration of classes is performed, then the annotation information is accurate, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The build process automatically discovers and extracts annotation information from the source code during compilation. This self-service approach ensures accuracy by directly reading annotations from the actual code rather than relying on manual registration, while simultaneously improving productivity by eliminating the time-consuming manual process. The automatic index generation maintains precision while dramatically reducing the effort required.
4Measurement precision
If scanning is performed to find annotated classes, then all classes can be checked for annotation, but the build time increases
Solution Approach 1:
The patent performs the annotation scanning and indexing operation as a preliminary action during the build process, generating an index file that stores the mapping between annotations and classes. This one-time preliminary generation ensures complete annotation coverage while allowing subsequent operations to use the pre-generated index for fast lookups. The completeness of annotation checking is achieved during build time, not during runtime operations.
Data Source
AI summary
Disclosed herein are technologies for a generic annotation seeker to generate an index of class annotation, mapping classes with annotations during build time. Files may be dynamically registered and scanned by a registration seeker for revised and updated annotation. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.