Conditional Cuckoo Filters
May 05, 2020 Β· Declared Dead Β· π SIGMOD Conference
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Authors
Daniel Ting, Rick Cole
arXiv ID
2005.02537
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DB
Citations
13
Venue
SIGMOD Conference
Last Checked
3 months ago
Abstract
Bloom filters, cuckoo filters, and other approximate set membership sketches have a wide range of applications. Oftentimes, expensive operations can be skipped if an item is not in a data set. These filters provide an inexpensive, memory efficient way to test if an item is in a set and avoid unnecessary operations. Existing sketches only allow membership testing for single set. However, in some applications such as join processing, the relevant set is not fixed and is determined by a set of predicates. We propose the Conditional Cuckoo Filter, a simple modification of the cuckoo filter that allows for set membership testing given predicates on a pre-computed sketch. This filter also introduces a novel chaining technique that enables cuckoo filters to handle insertion of duplicate keys. We evaluate our methods on a join processing application and show that they significantly reduce the number of tuples that a join must process.
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