redisbloom-py 0.4.1

RedisBloom Python Client

Python client for RedisBloom

redisbloom-py is a package that gives developers easy access to several probabilistic data structures. The package extends redis-py's interface with RedisBloom's API.

Installation

$ pip install redisbloom

Usage example

# Using Bloom Filter
from redisbloom.client import Client
rb = Client()
rb.bfCreate('bloom', 0.01, 1000)
rb.bfAdd('bloom', 'foo')        # returns 1
rb.bfAdd('bloom', 'foo')        # returns 0
rb.bfExists('bloom', 'foo')     # returns 1
rb.bfExists('bloom', 'noexist') # returns 0

# Using Cuckoo Filter
from redisbloom.client import Client
rb = Client()
rb.cfCreate('cuckoo', 1000)
rb.cfAdd('cuckoo', 'filter')        # returns 1
rb.cfAddNX('cuckoo', 'filter')      # returns 0
rb.cfExists('cuckoo', 'filter')     # returns 1
rb.cfExists('cuckoo', 'noexist')    # returns 0

# Using Count-Min Sketch
from redisbloom.client import Client
rb = Client()
rb.cmsInitByDim('dim', 1000, 5)
rb.cmsIncrBy('dim', ['foo'], [5])
rb.cmsIncrBy('dim', ['foo', 'bar'], [5, 15])
rb.cmsQuery('dim', 'foo', 'bar')    # returns [10, 15]

# Using Top-K
from redisbloom.client import Client
rb = Client()
rb.topkReserve('topk', 3, 20, 3, 0.9)
rb.topkAdd('topk', 'A', 'B', 'C', 'D', 'E', 'A', 'A', 'B',
                   'C', 'G', 'D', 'B', 'D', 'A', 'E', 'E')
rb.topkQuery('topk', 'A', 'B', 'C', 'D')    # returns [1, 1, 0, 1]
rb.topkCount('topk', 'A', 'B', 'C', 'D')    # returns [4, 3, 2, 3]
rb.topkList('topk')                         # returns ['A', 'B', 'E']
rb.topkListWithCount('topk')                # returns ['A', 4, 'B', 3, 'E', 3]

API

For complete documentation about RedisBloom's commands, refer to RedisBloom's website.

License

BSD 3-Clause

Development

1. Create a virtualenv to manage your python dependencies, and ensure it's active. virtualenv -v venv
2. Install pypoetry to manage your dependencies. pip install poetry
3. Install dependencies. poetry install

tox runs all tests as its default target. Running tox by itself will run unit tests. Ensure you have a running redis, with the module loaded.