A simple go web service implementing SBF

Stable Learned Bloom Filters for Data Streams

More about setting filter values: https://hur.st/bloomfilter/

tulip -port 8080 -address 127.0.0.1 -state filterstate.json

Create a new filter named name

• filtersize number of cells in filter - m
• hashfunctions number of hash functions - k
• decay number of random deletes before insert
• max max cell value

/bloom/new/<name>/<filtersize>/<hashfunctions>/<decay>/<max>

Add a single value to filter. Value kan be anything, will be hashed k times with murmur3

/bloom/add/<name>/<value>

Add single value to filter if value not exists in filter. Will not run random delete if value exists.

/bloom/addifnotset/<name>/<value>

Add multiple values to filter

/bloom/poster/<name>

Eg. filename.txt

value1
value2
value3

curl -X POST http://127.0.0.1:8080/bloom/poster/filtername --data-binary @filename.txt

Set all values in filter to zero

/bloom/reset/<name>

Remove filter

/bloom/destroy/<name>

Check if value is present in filter

/bloom/test/<value>

List filters

/bloom/list

Get info about filter

/bloom/info/<name>

Get debug info about filter

/bloom/debug/<name>

Force saving of filterstate to disk

/bloom/save

Force reload of filterstate from disk

/bloom/load