Traversal Context Objects Decouple Graph Traversal Logic
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Solution Overview
Problem
Existing graph traversal methods are tightly coupled to the structure and definition of the graph and objects, leading to increased code complexity and maintenance challenges, as well as limitations in traversing various graphs within an application.
Innovation Solution
The use of traversal context objects decouples graph traversal from the implementation details of the object graph, allowing for implementation-independent traversal by generating a root context object and associated traversal context objects, which are added to a data structure and manipulated until a terminating event occurs, enabling efficient traversal of object graphs regardless of their structure or definition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If graph traversal code is tightly coupled to the graph structure and object definitions, then the traversal can be performed accurately, but the code complexity increases and maintenance becomes difficult
Solution Approach 1:
The traversal system is segmented into distinct components: traversal context objects that encapsulate traversal state, discovery mechanisms that handle graph-specific logic, and a core traversal engine. This segmentation allows the core engine to remain simple and reusable while specialized logic is isolated in discovery mechanisms.
Solution Approach 2:
Traversal context objects serve as intermediaries between the traversal engine and the graph structure. These context objects encapsulate the current traversal state and provide a standardized interface, decoupling the engine from specific graph implementations while maintaining traversal accuracy.
2Adaptability or versatility
If implementation-dependent traversal code is written for each graph, then the traversal can be customized to specific graph structures, but the amount of code to be developed and tested increases
Solution Approach 1:
The traversal engine is designed as a universal system that can traverse any graph structure through standardized context objects. The discovery mechanisms provide multi-functionality by handling different graph types (object graphs, XML documents, JSON structures) through a common interface, eliminating the need for separate implementation-dependent code for each graph type.
Solution Approach 2:
The system adapts to different graph structures by changing parameters within the discovery mechanism rather than rewriting the core traversal logic. By configuring the discovery mechanism with appropriate parameters for each graph type, the same traversal engine can efficiently handle diverse structures without increasing code development burden.
3Ease of manufacture
If code components are shared across different traversal mechanisms, then code reusability improves, but maintainability decreases due to propagation requirements across multiple locations
Solution Approach 1:
The system segments shared code into modular discovery mechanisms that can be independently configured and maintained. Each discovery mechanism is a self-contained component with explicit parameters, allowing changes to be localized without affecting other traversal mechanisms. This segmentation maintains high code reusability while improving maintainability through reduced propagation requirements.
4Adaptability or versatility
If a single code base is used to traverse different object graphs, then code reusability improves, but handling cyclic graphs and type safety becomes more challenging
Solution Approach 1:
Traversal context objects serve as intermediaries that enforce type safety and track visited nodes to handle cyclic graphs. The context objects maintain state information about the traversal path and validate object types, providing reliable cyclic graph handling and type checking within a single reusable code base.
Solution Approach 2:
The traversal system incorporates feedback mechanisms through context objects that monitor the traversal state, detect cycles by tracking visited nodes, and validate type constraints. This feedback ensures reliability in cyclic graph handling and type safety while maintaining code reusability across different graph structures.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for enumerating relationships in an object graph using traversal context objects that are decoupled from the implementation details of an object graph and the objects stored therein. An example method generally includes receiving a request to traverse an object graph, the object graph including a plurality of objects. A root context object is generated, and a traversal context object associated with a root node of the object graph is generated. The traversal context object is linked to the root context object and added to a traversal data structure. The graph is traversed by adding and removing traversal context objects to and from the traversal data structure until a terminating event occurs.