dd_12_advanced_linking

advanced linker example

this example demonstrates advanced pointer reference resolution using NewLinker() with custom options, multi-stage linking, and complex object graph management.

key concepts demonstrated

advanced linker features

• NewLinker(): create linkers with custom configuration options
• multi-stage linking: progressive resolution of object references
• linker caching: efficient resolution of large object graphs
• partial resolution: handle incomplete reference sets gracefully
• cycle detection: safely handle circular references

complex object graphs

• document versioning: documents with version histories and relationships
• organizational hierarchy: employees, departments, and reporting structures
• dependency graphs: projects with complex interdependencies
• content management: articles, authors, categories with cross-references

performance optimization

• cached resolution: reuse linker instances for performance
• batch processing: resolve multiple object sets efficiently
• memory management: control object lifetime and garbage collection
• incremental updates: add new objects to existing graphs

production patterns

• error recovery: handle missing or invalid references gracefully
• validation: ensure reference integrity in complex graphs
• debugging: tools for analyzing object relationships
• monitoring: track linking performance and success rates

workflow demonstrated

1. linker configuration: create linkers with custom options
2. multi-stage registration: progressively build object graphs
3. complex relationships: documents, versions, authors, categories
4. cycle handling: circular references between objects
5. performance optimization: caching and batch operations
6. error scenarios: missing references and recovery strategies

example scenarios

the example demonstrates:

• document management system: articles with versions, authors, and cross-references
• organizational structure: employees with managers and team relationships
• project dependencies: projects with complex dependency chains
• content categorization: hierarchical categories with cross-links

usage

go run main.go

benefits

• scalability: efficient handling of large object graphs
• flexibility: support for complex relationship patterns
• performance: optimized resolution with caching
• reliability: robust error handling and cycle detection
• maintainability: clean separation of object definition and linking