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The Cartographer
ExaLogLog: Space-Efficient and Practical Approximate Distinct Counting up to the Exa-Scale
February 21, 2024 Β· Declared Dead Β· π International Conference on Extending Database Technology
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Authors
Otmar Ertl
arXiv ID
2402.13726
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DB
Citations
0
Venue
International Conference on Extending Database Technology
Last Checked
4 months ago
Abstract
This work introduces ExaLogLog, a new data structure for approximate distinct counting, which has the same practical properties as the popular HyperLogLog algorithm. It is commutative, idempotent, mergeable, reducible, has a constant-time insert operation, and supports distinct counts up to the exa-scale. At the same time, as theoretically derived and experimentally verified, it requires 43% less space to achieve the same estimation error.
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