Title: | Bloom Filters |
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Description: | Scaling, counting Bloom filter for R using Rcpp bindings for dablooms. |
Authors: | Jim Hester |
Maintainer: | Jim Hester <[email protected]> |
License: | MIT + file LICENSE |
Version: | 0.1.0 |
Built: | 2024-11-04 06:04:24 UTC |
Source: | https://github.com/jimhester/bloom |
Create a new scaling, counting bloom filter, or load a bloom filter from a pre-existing file.
bloom(capacity = 1000, error_rate = 0.05, filename = tempfile(fileext = ".bin"), exists = file.exists(filename))
bloom(capacity = 1000, error_rate = 0.05, filename = tempfile(fileext = ".bin"), exists = file.exists(filename))
capacity |
the approximate expected capacity |
error_rate |
the desired error rate |
filename |
the location to store the filter |
exists |
if the filter exists, load the new filter from a pre-existing file, otherwise create a new filer. |
The filter has the following methods available
add
Add a new item to the bloom filter, each item should be assigned a monotonically increasing integer id as the second argument.
contains
Check if a given item is contained within the bloom filter.
remove
Remove a given item from the filter, the id should match the id given when the item was added.
library(bloom) bloom <- bloom(capacity = 1000, error_rate = .05, filename = "/tmp/bloom.bin") bloom$add("foo", 2) bloom$contains("bar") bloom$contains("foo") bloom$remove("foo", 2) bloom$contains("foo") bloom$add("foo", 2) rm(bloom) bloom <- bloom(capacity = 1000, error_rate = .05, filename = "/tmp/bloom.bin", exists = TRUE) bloom$contains("foo")
library(bloom) bloom <- bloom(capacity = 1000, error_rate = .05, filename = "/tmp/bloom.bin") bloom$add("foo", 2) bloom$contains("bar") bloom$contains("foo") bloom$remove("foo", 2) bloom$contains("foo") bloom$add("foo", 2) rm(bloom) bloom <- bloom(capacity = 1000, error_rate = .05, filename = "/tmp/bloom.bin", exists = TRUE) bloom$contains("foo")