| Bloom-Filter documentation | Contained in the Bloom-Filter distribution. |
Bloom::Filter - Sample Perl Bloom filter implementation
A Bloom filter is a probabilistic algorithm for doing existence tests in less memory than a full list of keys would require. The tradeoff to using Bloom filters is a certain configurable risk of false positives. This module implements a simple Bloom filter with configurable capacity and false positive rate. Bloom filters were first described in a 1970 paper by Burton Bloom, see http://portal.acm.org/citation.cfm?id=362692&dl=ACM&coll=portal.
use Bloom::Filter
my $bf = Bloom::Filter->new( capacity => 10, error_rate => .001 );
$bf->add( @keys );
while ( <> ) {
chomp;
print "Found $_\n" if $bf->check( $_ );
}
Create a brand new instance. Allowable params are error_rate, capacity.
Calculates the best number of hash functions and optimum filter length, creates some random salts, and generates a blank bit vector. Called automatically by constructor.
Returns the total capacity of the Bloom filter
Returns the configured maximum error rate
Returns the length of the Bloom filter in bits
Returns the number of items currently stored in the filter
Returns the number of 'on' bits in the filter
Returns the list of salts used to create the hash functions
Adds the list of keys to the filter. Will fail, return undef and complain
if the number of keys in the filter exceeds the configured capacity.
Checks the provided key list against the Bloom filter, and returns a list of equivalent length, with true or false values depending on whether there was a match.
Given a desired error rate and maximum capacity, returns the optimum combination of vector length (in bits) and number of hash functions to use in building the filter, where "optimum" means shortest vector length.
Given a key, hashes it using the list of salts and returns an array of cell indexes corresponding to the key.
Maciej Ceglowski <maciej@ceglowski.com>
Feb 2007 big speedup by Dmitriy Ryaboy <dmitriy.ryaboy@ask.com> (thanks!)
(c) 2004 Maciej Ceglowski
This is free software, distributed under version 2 of the GNU Public License (GPL).
| Bloom-Filter documentation | Contained in the Bloom-Filter distribution. |
package Bloom::Filter; use strict; use warnings; use Carp; use Digest::SHA1 qw/sha1 sha1_base64/; our $VERSION = '1.0';
sub new { my ( $class, %params ) = @_; my $self = { # some defaults error_rate => 0.001, capacity => 100, %params, # internal data key_count => 0, filter_length => 0, num_hash_funcs => 0, salts => [], }; bless $self, $class; $self->init(); return $self; }
sub init { my ( $self ) = @_; # some sanity checks croak "Capacity must be greater than zero" unless $self->{capacity}; croak "Error rate must be greater than zero" unless $self->{error_rate}; croak "Error rate cannot exceed 1" unless $self->{error_rate} < 1; my ( $length, $num_funcs ) = $self->_calculate_shortest_filter_length ($self->{capacity}, $self->{error_rate} ); $self->{num_hash_funcs} = $num_funcs; $self->{filter_length} = $length; # create some random salts; my %collisions; while ( scalar keys %collisions < $self->{num_hash_funcs} ) { $collisions{rand()}++; } $self->{salts} = [ keys %collisions ]; # make an empty filter $self->{filter} = pack( "b*", '0' x $self->{filter_length} ); # make some blank vectors to use $self->{blankvec} = pack( "N", 0 ); return 1; }
sub capacity { $_[0]->{capacity} };
sub error_rate { $_[0]->{error_rate} };
sub length { $_[0]->{filter_length} };
sub key_count { $_[0]->{key_count} };
sub on_bits { my ( $self ) = @_; return unless $self->{filter}; return unpack( "%32b*", $self->{filter}) }
sub salts { my ( $self ) = @_; return unless exists $self->{salts} and ref $self->{salts} and ref $self->{salts} eq 'ARRAY'; return @{ $self->{salts} }; }
sub add { my ( $self, @keys ) = @_; return unless @keys; # Hash our list of keys into the empty filter my @salts = @{ $self->{salts} } or croak "No salts found, cannot make bitmask"; foreach my $key ( @keys ) { if ($self->{key_count} >= $self->{capacity}) { carp "Exceeded filter capacity"; return; } # flip the appropriate bits on vec($self->{filter}, $_, 1) = 1 foreach @{$self->_get_cells($key)}; $self->{key_count}++; } return 1; }
sub check { my ( $self, @keys ) = @_; return unless @keys; my @result; # A match occurs if every bit we check is on foreach my $key ( @keys ) { my $match = 1; foreach my $cell (@{$self->_get_cells($key)} ) { $match = vec( $self->{filter}, $cell, 1 ) ; last unless $match; } push @result, $match; } return ( wantarray() ? @result : $result[0] ); }
sub _calculate_shortest_filter_length { my ( $self, $num_keys, $error_rate ) = @_; my $lowest_m; my $best_k = 1; foreach my $k ( 1..100 ) { my $m = (-1 * $k * $num_keys) / ( log( 1 - ($error_rate ** (1/$k)))); if ( !defined $lowest_m or ($m < $lowest_m) ) { $lowest_m = $m; $best_k = $k; } } $lowest_m = int( $lowest_m ) + 1; return ( $lowest_m, $best_k ); }
sub _get_cells { my ( $self, $key ) = @_; croak "Filter length is undefined" unless $self->{filter_length}; my @salts = @{ $self->{salts} } or croak "No salts found, cannot make bitmask"; my @cells; foreach my $salt ( @salts ){ my $hash = sha1( $key, $salt ); # blank 32 bit vector my $vec = $self->{blankvec}; # split the 160-bit hash into five 32-bit ints # and XOR the pieces together my @pieces = map {pack( "N", $_ )} unpack("N*", $hash ); $vec = $_ ^ $vec foreach @pieces; # Calculate bit offset by modding my $result = unpack( "N", $vec ); my $bit_offset = $result % $self->{filter_length}; push @cells, $bit_offset; } return \@cells; }
1;