alessio 70b1777d8a Adaptive memory allocation strategy for qp-tries ... qp-tries allocate their nodes (twigs) in chunks to reduce allocator pressure and improve memory locality. The choice of chunk size presents a tradeoff: larger chunks benefit qp-tries with many values (as seen in large zones and resolvers) but waste memory in smaller use cases. Previously, our fixed chunk size of 2^10 twigs meant that even an empty qp-trie would consume 12KB of memory, while reducing this size would negatively impact resolver performance. This commit implements an adaptive chunking strategy that: - Tracks the size of the most recently allocated chunk. - Doubles the chunk size for each new allocation until reaching a predefined maximum. This approach effectively balances memory efficiency for small tries while maintaining the performance benefits of larger chunk sizes for bigger data structures. This commit also splits the callback freeing qpmultis into two phases, one that frees the underlying qptree, and one that reclaims the qpmulti memory. In order to prevent races between the qpmulti destructor and chunk garbage collection jobs, the second phase is protected by reference counting.		2025-05-22 15:19:27 -07:00
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isc	Adaptive memory allocation strategy for qp-tries	2025-05-22 15:19:27 -07:00
.clang-format	Add separate .clang-format files for headers	2020-02-14 09:31:05 +01:00