PaCHash: Packed and Compressed Hash Tables

May 10, 2022 Β· Declared Dead Β· πŸ› Workshop on Algorithm Engineering and Experimentation

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Authors Florian Kurpicz, Hans-Peter Lehmann, Peter Sanders arXiv ID 2205.04745 Category cs.DS: Data Structures & Algorithms Citations 11 Venue Workshop on Algorithm Engineering and Experimentation Last Checked 4 months ago
Abstract
We introduce PaCHash, a hash table that stores its objects contiguously in an array without intervening space, even if the objects have variable size. In particular, each object can be compressed using standard compression techniques. A small search data structure allows locating the objects in constant expected time. PaCHash is most naturally described as a static external hash table where it needs a constant number of bits of internal memory per block of external memory. Here, in some sense, PaCHash beats a lower bound on the space consumption of k-perfect hashing. An implementation for fast SSDs needs about 5 bits of internal memory per block of external memory, requires only one disk access (of variable length) per search operation, and has small internal search overhead compared to the disk access cost. Our experiments show that it has lower space consumption than all previous approaches even when considering objects of identical size.
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