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Binary Fuse Filters: Fast and Smaller Than Xor Filters [r-libre/2486]

Graf, Thomas Mueller, & Lemire, Daniel (2022). Binary Fuse Filters: Fast and Smaller Than Xor Filters. Journal of Experimental Algorithmics, 27. https://doi.org/10.1145/3510449

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Content : Submitted Version
License : Creative Commons Attribution.
Item Type: Journal Articles
Refereed: Yes
Status: Published
Abstract: Bloom and cuckoo filters provide fast approximate set membership while using little memory. Engineers use them to avoid expensive disk and network accesses. The recently introduced xor filters can be faster and smaller than Bloom and cuckoo filters. The xor filters are within 23% of the theoretical lower bound in storage as opposed to 44% for Bloom filters. Inspired by Dietzfelbinger and Walzer, we build probabilistic filters -- called binary fuse filters -- that are within 13% of the storage lower bound -- without sacrificing query speed. As an additional benefit, the construction of the new binary fuse filters can be more than twice as fast as the construction of xor filters. By slightly sacrificing query speed, we further reduce storage to within 8% of the lower bound. We compare the performance against a wide range of competitive alternatives such as Bloom filters, blocked Bloom filters, vector quotient filters, cuckoo filters, and the recent ribbon filters. Our experiments suggest that binary fuse filters are superior to xor filters.
Depositor: Lemire, Daniel
Owner / Manager: Daniel Lemire
Deposited: 05 Jan 2022 22:08
Last Modified: 11 Mar 2022 22:48

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