Skip to content

Commit b6712e1

Browse files
committed
Add doc.go
1 parent d859b03 commit b6712e1

File tree

1 file changed

+31
-0
lines changed

1 file changed

+31
-0
lines changed

doc.go

Lines changed: 31 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,31 @@
1+
/*
2+
Permission is hereby granted, free of charge, to any person obtaining a copy
3+
of this software and associated documentation files (the "Software"), to deal
4+
in the Software without restriction, including without limitation the rights
5+
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
6+
copies of the Software, and to permit persons to whom the Software is
7+
furnished to do so, subject to the following conditions:
8+
9+
The above copyright notice and this permission notice shall be included in all
10+
copies or substantial portions of the Software.
11+
12+
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
13+
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
14+
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
15+
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
16+
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
17+
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
18+
SOFTWARE.
19+
*/
20+
21+
/*
22+
Cuckoo filter is a Bloom filter replacement for approximated set-membership queries. While Bloom filters are well-known space-efficient data structures to serve queries like "if item x is in a set?", they do not support deletion. Their variances to enable deletion (like counting Bloom filters) usually require much more space.
23+
24+
Cuckoo filters provide the flexibility to add and remove items dynamically. A cuckoo filter is based on cuckoo hashing (and therefore named as cuckoo filter). It is essentially a cuckoo hash table storing each key's fingerprint. Cuckoo hash tables can be highly compact, thus a cuckoo filter could use less space than conventional Bloom filters, for applications that require low false positive rates (< 3%).
25+
26+
For details about the algorithm and citations please use this article for now
27+
28+
["Cuckoo Filter: Better Than Bloom" by Bin Fan, Dave Andersen and Michael Kaminsky](https://www.cs.cmu.edu/~dga/papers/cuckoo-conext2014.pdf)
29+
30+
Note:This implementation uses a a static bucket size of 4 fingerprints and a fingerprint size of 1 byte based on my understanding of an optimal bucket/fingerprint/size ratio from the aforementioned paper.*/
31+
package cuckoofilter

0 commit comments

Comments
 (0)