README.md

In jimhester/bloom: Bloom Filters

bloom

Scaling, counting Bloom filter for R using Rcpp bindings for dablooms.

Note the dablooms implementation requires an additional metadata id for insertions and deletions. This id is a monotonically increasing integer which is used to determine which scaling filter the item should be added or removed from.

Example usage

library(bloom)
bloom <- bloom(capacity = 1000, error_rate = .05, filename = "/tmp/bloom.bin")
bloom$add("foo", 2)
#> [1] 1
bloom$contains("bar")
#> [1] FALSE
bloom$contains("foo")
#> [1] TRUE
bloom$remove("foo", 2)
#> [1] 1
bloom$contains("foo")
#> [1] TRUE
bloom$add("foo", 2)
#> [1] 1
rm(bloom)
bloom <- bloom(capacity = 1000, error_rate = .05, filename = "/tmp/bloom.bin", exists = TRUE)
bloom$contains("foo")
#> [1] TRUE

jimhester/bloom documentation built on May 19, 2019, 10:31 a.m.