For this quick start, you will need the following:

Create a new database that uses the Module

  1. In the Redis Modules field, click Add.
  2. Select the RedisBloom module.
  3. If you want the module to use a custom configuration, click Add configuration and enter the optional custom configuration.
  4. Click Save.

    For example:

  5. Click the Activate button

Using Bloom filters in Redis Enterprise Software

Trying It Out

You can play with it a bit using redis-cli:

Connect to redis.

$ redis-cli -p 12543>

Run these commands:> BF.ADD bloom kirk
 1) (integer) 1> BF.ADD bloom redis
 1) (integer) 1> BF.EXISTS bloom kirk
 (integer) 1> BF.EXISTS bloom redis
 (integer) 1> BF.EXISTS bloom nonexist
 (integer) 0> BF.EXISTS bloom que?
 (integer) 0>> BF.MADD bloom elem1 elem2 elem3
 1) (integer) 1
 2) (integer) 1
 3) (integer) 1> BF.MEXISTS bloom elem1 elem2 elem3
 1) (integer) 1
 2) (integer) 1
 3) (integer) 1

You can also create a custom Bloom filter. The BF.ADD command creates a new Bloom filter suitable for a small-ish number of items. This consumes less memory but may not be ideal for large filters. In that case:> BF.RESERVE largebloom 0.0001 1000000
 OK> BF.ADD largebloom kirk
 1) (integer) 1

Using Cuckoo filters in Redis Enterprise Software

Cuckoo filters can also be used as part of the RedisBloom module. You can play with it using redis-cli:> CF.ADD cuckoo redis
(integer) 1> CF.EXISTS newcuckoo redis
(integer) 1> CF.EXISTS newcuckoo notpresent
(integer) 0> CF.DEL newcuckoo redis
(integer) 1

For more information, please see Developing with Bloom Filters.

For in depth information on Cuckoo filters you can visit the original Cuckoo Filter paper.