hmusta / RedisBloom

Probabilistic Datatypes Module for Redis

RedisBloom - Bloom Filter Module for Redis

RedisBloom module provides four datatypes, a Scalable Bloom Filter and Cuckoo Filter, a Count-Mins-Sketch and a Top-K. Bloom and Cuckoo filters are used to determine (with a given degree of certainty) whether an item is present or absent from a collection. While Count-Min Sketch is used to approximate count of items in sub-linear space and Top-K maintains a list of K most frequent items.

Quick Start Guide

1. Launch RedisBloom with Docker
2. Use RedisBloom with redis-cli

Note: You can also build and load the module yourself.

1. Launch RedisBloom with Docker

docker run -p 6379:6379 --name redis-redisbloom redislabs/rebloom:latest

2. Use RedisBloom with redis-cli

docker exec -it redis-redisbloom bash

# redis-cli
# 127.0.0.1:6379> 

Start a new bloom filter by adding a new item

# 127.0.0.1:6379> BF.ADD newFilter foo
(integer) 1

Checking if an item exists in the filter

# 127.0.0.1:6379> BF.EXISTS newFilter foo
(integer) 1

Building and Loading RedisBloom

In order to use this module, build it using make and load it into Redis.

Loading

Invoking redis with the module loaded

$ redis-server --loadmodule /path/to/redisbloom.so

Client libraries

Project	Language	License	Author	URL
redisbloom-py	Python	BSD	Redis Labs	GitHub
JReBloom	Java	BSD	Redis Labs	GitHub
rebloom	JavaScript	MIT	Albert Team	GitHub

Documentation

Documentation and full command reference at redisbloom.io.

Mailing List / Forum

Got questions? Feel free to ask at the RedisBloom mailing list.

License

Redis Source Available License Agreement - see LICENSE