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A new kind of data structure
This introduces a trie-based suffix matching feature using nested virtual maps (vmaps) for hierarchical string matching, improves hashing functions by reducing memory and performance overhead, and refactors token allocation to use a slab allocator for safer and more efficient memory handling. Key highlights include new trie APIs for insertion, querying, and deletion, optimized hash functions with chunked processing and inline conversions, enhanced tokenization with stricter validation, and updates to tests to align with these changes. Additionally, the commits include opportunistic refactors of vmap modularity, memory management standardization, and code alignment with kernel memory practices, ensuring better maintainability, performance, and resource safety for eBPF programs.
• Why It Matters:
Significantly reduces search time for suffix matches, improving overall system performance.
Lowers memory usage compared to traditional matching methods, leading to cost savings.
Enhances data processing capabilities, particularly in applications requiring fast and frequent lookups.
Engineering