You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Have ran some benchmarks, a Binary Fuse filter (0.3% FPs) is the fastest (6ns bf lookup vs 14ns per map lookup) and smallest (~25% of orig []uint64 size) with our dimension data.
Benefit: we don't have to rebuild hashes, as we can populate it with the existing hash db.
However, corediff now needs to deal with two types of databases, of which one is immutable. Requires some refactoring of the checkPath function.
The text was updated successfully, but these errors were encountered:
Have ran some benchmarks, a Binary Fuse filter (0.3% FPs) is the fastest (6ns bf lookup vs 14ns per map lookup) and smallest (~25% of orig []uint64 size) with our dimension data.
2022 article: http://arxiv.org/abs/2201.01174
Go Library: https://github.com/FastFilter/xorfilter
Benefit: we don't have to rebuild hashes, as we can populate it with the existing hash db.
However, corediff now needs to deal with two types of databases, of which one is immutable. Requires some refactoring of the checkPath function.
The text was updated successfully, but these errors were encountered: