Succinct and Fast Tiny Pointer Hash Tables
Xilin Tang, Yuqi Mai, William Kuszmaul, Alex Conway
摘要
Hash tables sit on the critical path of many systems, yet modern designs still force a trade-off between fast operations and high memory overhead. We revisit this trade-off and present Tiny Pointer Hash Tables (TPHT), a family of practical hash tables that make two ideas from theory work at system scale: compressing pointers down to a byte, and encoding keys compactly so less metadata is needed. We engineer these into two complementary designs. Chained-TPHT targets maximal space savings, and is to our knowledge the first simple and practical succinct hash table, achieving a footprint smaller than the raw key-value payload size with constant-time operations. Flattened-TPHT targets latency, keeping the common case within a single cache miss while retaining strong space efficiency. Both variants support dynamic resizing without global pauses and integrate cleanly with 64-bit keys and values. Across YCSB and microbenchmarks, TPHT advances the latency-space Pareto frontier: Chained-TPHT reaches 105.4% space efficiency, and Flattened-TPHT achieves 83.4% space efficiency with up to 89.3% higher throughput than strong baselines. Together, these results show that techniques primarily known in theory can be turned into systems-ready hash tables that meaningfully reduce memory use while delivering state-of-the-art performance.
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