package bart
provides a Balanced-Routing-Table (BART).
BART is balanced in terms of memory usage and lookup time for the longest-prefix match.
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.
example from artlookup.pdf for a 4bit stride |
The CBT is implemented as a bit-vector, backtracking is just a matter of fast cache friendly bitmask operations.
The Table is implemented with popcount compressed sparse arrays together with path compression. This reduces storage consumption by almost two orders of magnitude in comparison to ART with similar lookup times for the longest prefix match.
The API has changed in ..., v0.10.1, v0.11.0, v0.12.0, v0.12.6, v0.16.0
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]) Update(pfx netip.Prefix, cb func(val V, ok bool) V) (newVal 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]) GetAndDelete(pfx netip.Prefix) (val V, ok bool)
func (t *Table[V]) Union(o *Table[V])
func (t *Table[V]) Clone() *Table[V]
func (t *Table[V]) Contains(ip netip.Addr) bool
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]) 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]) Subnets(pfx netip.Prefix) func(yield func(netip.Prefix, V) bool)
func (t *Table[V]) Supernets(pfx netip.Prefix) func(yield func(netip.Prefix, V) bool)
func (t *Table[V]) All() func(yield func(pfx netip.Prefix, val V) bool)
func (t *Table[V]) All4() func(yield func(pfx netip.Prefix, val V) bool)
func (t *Table[V]) All6() func(yield func(pfx netip.Prefix, val V) bool)
func (t *Table[V]) AllSorted() func(yield func(pfx netip.Prefix, val V) bool)
func (t *Table[V]) AllSorted4() func(yield func(pfx netip.Prefix, val V) bool)
func (t *Table[V]) AllSorted6() func(yield func(pfx netip.Prefix, val V) bool)
func (t *Table[V]) Size() int
func (t *Table[V]) Size4() int
func (t *Table[V]) Size6() int
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]
Please see the extensive benchmarks comparing bart
with other IP routing table implementations.
Just a teaser, Contains and Lookups against the full Internet routing table with random IP address probes:
goos: linux
goarch: amd64
pkg: github.com/gaissmai/bart
cpu: Intel(R) Core(TM) i5-7500T CPU @ 2.70GHz
BenchmarkFullMatchV4/Contains 49814167 23.22 ns/op 0 B/op 0 allocs/op
BenchmarkFullMatchV6/Contains 94662561 11.90 ns/op 0 B/op 0 allocs/op
BenchmarkFullMissV4/Contains 46916434 24.32 ns/op 0 B/op 0 allocs/op
BenchmarkFullMissV6/Contains 239470936 5.023 ns/op 0 B/op 0 allocs/op
PASS
ok github.com/gaissmai/bart 15.343s
goos: linux
goarch: amd64
pkg: github.com/gaissmai/bart
cpu: Intel(R) Core(TM) i5-7500T CPU @ 2.70GHz
BenchmarkFullMatchV4/Lookup 52110546 22.65 ns/op 0 B/op 0 allocs/op
BenchmarkFullMatchV6/Lookup 52083624 22.09 ns/op 0 B/op 0 allocs/op
BenchmarkFullMissV4/Lookup 40740790 27.80 ns/op 0 B/op 0 allocs/op
BenchmarkFullMissV6/Lookup 148526529 8.076 ns/op 0 B/op 0 allocs/op
PASS
ok github.com/gaissmai/bart 15.646s
The package is currently released as a pre-v1 version, which gives the author the freedom to break backward compatibility to help improve the API as he learns which initial design decisions would need to be revisited to better support the use cases that the library solves for.
These occurrences are expected to be rare in frequency and the API is already quite stable.
Please open an issue for discussion before sending a pull request.
Standing on the shoulders of giants.
Credits for many inspirations go to
- the clever guys at tailscale,
- to Daniel Lemire, 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!
And last but not least to the Go team who do a wonderful job!
MIT