Low memory sampling-based estimation of distinct elements and deduplication
US10162867B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2016 |
| Grant date | Dec 25, 2018 |
| Priority date | — |
| Expiry date | Sep 30, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/2462
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, computing systems and computer program products implement embodiments of the present invention that include partitioning a dataset into a full set of logical data units, and selecting a sample subset of the full set, the sample subset including a random sample of the full set based on a sampling ratio. A set of target hash values are selected from a full range of hash values, and, using a hash function, a respective unit hash value is calculated for each of the logical data units in the sample subset. A histogram is computed that indicates a duplication count of each of the unit hash values that matches a given target hash value, and based on the histogram, a number of distinct logical data units in the full set is estimated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.