Struct b100m_filter::BloomFilter
source · pub struct BloomFilter { /* private fields */ }Expand description
A space efficient approximate membership set data structure.
False positives from contains are possible, but false negatives
are not, i.e. contains for all items in the set is guaranteed to return
true, while contains for all items not in the set probably return false.
BloomFilter is supported by an underlying bit vector, chunked into 512 bit “blocks”, to track item membership.
To insert, a number of bits, based on the item’s hash, are set in the underlying bit vector.
To check membership, a number of bits, based on the item’s hash, are checked in the underlying bit vector.
Once constructed, a bloom filter’s underlying memory usage or number of bits per item does not change.
Examples
use b100m_filter::BloomFilter;
let num_blocks = 4; // each block is 64 bytes, 512 bits
let values = vec!["42", "bloom"];
let mut filter = BloomFilter::builder(num_blocks).items(values.iter());
filter.insert("qwerty");
assert!(filter.contains("42"));
assert!(filter.contains("bloom"));
assert!(filter.contains("qwerty"));Implementations§
source§impl BloomFilter
impl BloomFilter
sourcepub fn builder(num_blocks: usize) -> Builder
pub fn builder(num_blocks: usize) -> Builder
Creates a new instance of Builder to construct a BloomFilter
with num_blocks number of blocks for tracking item membership.
Each block is 512 bits of memory.
Examples
use b100m_filter::{BloomFilter, Builder};
let builder: Builder = BloomFilter::builder(16);
let bloom: BloomFilter = builder.hashes(4);sourcepub fn num_hashes(&self) -> u64
pub fn num_hashes(&self) -> u64
Returns the number of bits derived per item for the bloom filter. This number is effectivly the number of hashes per item, but all hashes are not actually performed.
The returned value is always a multiple of 4 due to internal optimizations.
sourcepub fn insert(&mut self, val: &(impl Hash + ?Sized))
pub fn insert(&mut self, val: &(impl Hash + ?Sized))
Adds a value to the bloom filter.
Examples
use b100m_filter::BloomFilter;
let mut bloom = BloomFilter::builder(4).hashes(4);
bloom.insert(&2);
assert!(bloom.contains(&2));sourcepub fn contains(&self, val: &(impl Hash + ?Sized)) -> bool
pub fn contains(&self, val: &(impl Hash + ?Sized)) -> bool
Returns false if the bloom filter definitely does not contain a value.
Returns true if the bloom filter may contain a value, with a degree of certainty.
Examples
use b100m_filter::BloomFilter;
let bloom = BloomFilter::builder(4).items([1, 2, 3].iter());
assert!(bloom.contains(&1));Trait Implementations§
source§impl Clone for BloomFilter
impl Clone for BloomFilter
source§fn clone(&self) -> BloomFilter
fn clone(&self) -> BloomFilter
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moresource§impl Debug for BloomFilter
impl Debug for BloomFilter
source§impl<T> Extend<T> for BloomFilterwhere
T: Hash,
impl<T> Extend<T> for BloomFilterwhere
T: Hash,
source§fn extend<I: IntoIterator<Item = T>>(&mut self, iter: I)
fn extend<I: IntoIterator<Item = T>>(&mut self, iter: I)
source§fn extend_one(&mut self, item: A)
fn extend_one(&mut self, item: A)
extend_one)source§fn extend_reserve(&mut self, additional: usize)
fn extend_reserve(&mut self, additional: usize)
extend_one)