bloom: Bloom filter

In jimhester/bloom: Bloom Filters

Description

Create a new scaling, counting bloom filter, or load a bloom filter from a pre-existing file.

Usage

bloom(capacity = 1000, error_rate = 0.05, filename = tempfile(fileext =
  ".bin"), exists = file.exists(filename))

Arguments

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.

Details

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.

Examples

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")

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