AI REVIEWED
Module: codec
File: codec/yaml/snakeyaml/SnakeYamlOps.java (~line 1259-1284)
Severity: Low
Problem / Motivation
SnakeYamlOps implements deepCopy() manually with recursive Java code (creating new ArrayLists, LinkedHashMaps, etc.), while Jackson-based implementations delegate to the optimized JsonNode.deepCopy(). For large data structures, this makes SnakeYAML operations measurably slower.
Proposed Solution
Consider optimizing the deep copy:
- Use iterative approach with explicit stack (avoids method call overhead)
- Profile to determine if this is actually a bottleneck in practice
- If not a bottleneck, document the performance characteristic
Alternatives
Document that SnakeYAML is slower for large structures and recommend Jackson-based implementations for performance-sensitive use cases.
AI REVIEWED
Module: codec
File:
codec/yaml/snakeyaml/SnakeYamlOps.java(~line 1259-1284)Severity: Low
Problem / Motivation
SnakeYamlOpsimplementsdeepCopy()manually with recursive Java code (creating new ArrayLists, LinkedHashMaps, etc.), while Jackson-based implementations delegate to the optimizedJsonNode.deepCopy(). For large data structures, this makes SnakeYAML operations measurably slower.Proposed Solution
Consider optimizing the deep copy:
Alternatives
Document that SnakeYAML is slower for large structures and recommend Jackson-based implementations for performance-sensitive use cases.