# package bart [![Go Reference](https://pkg.go.dev/badge/github.com/gaissmai/bart.svg)](https://pkg.go.dev/github.com/gaissmai/bart#section-documentation) ![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/gaissmai/bart) [![CI](https://github.com/gaissmai/bart/actions/workflows/go.yml/badge.svg)](https://github.com/gaissmai/bart/actions/workflows/go.yml) [![Coverage Status](https://coveralls.io/repos/github/gaissmai/bart/badge.svg)](https://coveralls.io/github/gaissmai/bart) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Stand With Ukraine](https://raw.githubusercontent.com/vshymanskyy/StandWithUkraine/main/badges/StandWithUkraine.svg)](https://stand-with-ukraine.pp.ua) ## Overview `package bart` provides a Balanced-Routing-Table (BART). BART is balanced in terms of memory consumption versus lookup time. The lookup time is by a factor of ~2 slower on average as the routing algorithms ART, SMART, CPE, ... but reduces the memory consumption by an order of magnitude in comparison. BART is a multibit-trie with fixed stride length of 8 bits, using the _baseIndex_ function from the ART algorithm to build the complete-binary-tree (CBT) of prefixes for each stride. The second key factor is popcount array compression at each stride level of the CBT prefix tree and backtracking along the CBT in O(k). The CBT is implemented as a bitvector, backtracking is just a matter of fast cache friendly bitmask operations. The child array at each stride level is also popcount compressed. ## API The API changes in v0.4.2, 0.5.3, v0.6.3, v0.10.1, v0.11.0 ```golang import "github.com/gaissmai/bart" type Table[V any] struct { // Has unexported fields. } Table is an IPv4 and IPv6 routing table with payload V. The zero value is ready to use. The Table is safe for concurrent readers but not for concurrent readers and/or writers. func (t *Table[V]) Insert(pfx netip.Prefix, val V) func (t *Table[V]) Delete(pfx netip.Prefix) func (t *Table[V]) Get(pfx netip.Prefix) (val V, ok bool) func (t *Table[V]) Update(pfx netip.Prefix, cb func(val V, ok bool) V) (newVal V) func (t *Table[V]) Union(o *Table[V]) func (t *Table[V]) Clone() *Table[V] func (t *Table[V]) Lookup(ip netip.Addr) (val V, ok bool) func (t *Table[V]) LookupPrefix(pfx netip.Prefix) (val V, ok bool) func (t *Table[V]) LookupPrefixLPM(pfx netip.Prefix) (lpm netip.Prefix, val V, ok bool) func (t *Table[V]) EachLookupPrefix(pfx netip.Prefix, yield func(pfx netip.Prefix, val V) bool) func (t *Table[V]) EachSubnet(pfx netip.Prefix, yield func(pfx netip.Prefix, val V) bool) func (t *Table[V]) OverlapsPrefix(pfx netip.Prefix) bool func (t *Table[V]) Overlaps(o *Table[V]) bool func (t *Table[V]) Overlaps4(o *Table[V]) bool func (t *Table[V]) Overlaps6(o *Table[V]) bool func (t *Table[V]) Size() int func (t *Table[V]) Size4() int func (t *Table[V]) Size6() int func (t *Table[V]) All(yield func(pfx netip.Prefix, val V) bool) func (t *Table[V]) All4(yield func(pfx netip.Prefix, val V) bool) func (t *Table[V]) All6(yield func(pfx netip.Prefix, val V) bool) func (t *Table[V]) AllSorted(yield func(pfx netip.Prefix, val V) bool) func (t *Table[V]) All4Sorted(yield func(pfx netip.Prefix, val V) bool) func (t *Table[V]) All6Sorted(yield func(pfx netip.Prefix, val V) bool) func (t *Table[V]) String() string func (t *Table[V]) Fprint(w io.Writer) error func (t *Table[V]) MarshalText() ([]byte, error) func (t *Table[V]) MarshalJSON() ([]byte, error) func (t *Table[V]) DumpList4() []DumpListNode[V] func (t *Table[V]) DumpList6() []DumpListNode[V] ``` ## benchmarks Please see the extensive [benchmarks](https://github.com/gaissmai/iprbench) comparing `bart` with other IP routing table implementations. Just a teaser, LPM lookups against the full Internet routing table with random probes: ``` goos: linux goarch: amd64 pkg: github.com/gaissmai/bart cpu: Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz BenchmarkFullMatchV4/Lookup 24484828 49.03 ns/op BenchmarkFullMatchV6/Lookup 17098262 70.15 ns/op BenchmarkFullMissV4/Lookup 24480925 49.15 ns/op BenchmarkFullMissV6/Lookup 54955310 21.79 ns/op ``` ## CONTRIBUTION Please open an issue for discussion before sending a pull request. ## CREDIT Credits for many inspirations go to the clever guys at tailscale, to Daniel Lemire for the super-fast bitset package and to Donald E. Knuth for the **ART** routing algorithm and all the rest of his *Art* and for keeping important algorithms in the public domain! ## LICENSE MIT