Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

A fast and simple probabilistic bloom filter that supports compression

Project description

# Simple and fast pythonic bloomfilter

From wikipedia: "A Bloom filter is a space-efficient probabilistic data structure, conceived by Burton Howard Bloom in 1970, that is used to test whether an element is a member of a set. False positive matches are possible, but false negatives are not – in other words, a query returns either "possibly in set" or "definitely not in set". Elements can be added to the set, but not removed (though this can be addressed with a "counting" filter); the more elements that are added to the set, the larger the probability of false positives."

This filter supports:

Saving, reloading, compressed bloomfilter file lrzip like
for compression: lz4>lzo>zlib>bz2>lzma
for decompression: lzma>bz2>zlib>lzo>lz4
Stats
Entropy analysis
Internal and external hashing of data.
raw filter merging

Installing:

sudo pip install fastbloomfilter

External creating of the bloom filter file:

python mkbloom.py /tmp/filter.blf

Importing:

from fastBloomFilter import bloom

bf = bloom.BloomFilter(filename='/tmp/filter.blf')

Adding data to it:

bf.add('30000')

bf.add('1230213')

bf.add('1')

Adding data and at the same time querying it:

print bf.update('1') # True

print bf.update('1') # True

print bf.update('2') # False

print bf.update('2') # True

Printing stats:

bf.stat()

Or:

bf.info()

Querying data:

print bf.query('1') # True

print bf.query('1230213') # True

print bf.query('12') # False

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for fastBloomFilter, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size fastBloomFilter-0.0.4.tar.gz (19.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page