Awesome
package bart
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 1,25 slower on average as the routing algorithm ART but reduces the memory consumption by more than 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.
example from artlookup.pdf for a 4bit stride |
The CBT is implemented as a bitvector, backtracking is just a matter of fast cache friendly bitmask operations.
The prefix and child arrays at each stride level are popcount compressed sparse arrays.
API
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]
benchmarks
Please see the extensive benchmarks comparing bart
with other IP routing table implementations.
Just a teaser, LPM lookups against the full Internet routing table with random probes:
$ go test -run=xxx -benchmem -cpu=1 -bench=Full/Contains
goos: linux
goarch: amd64
pkg: github.com/gaissmai/bart
cpu: Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz
BenchmarkFullMatchV4/Contains 48157468 22.14 ns/op 0 B/op 0 allocs/op
BenchmarkFullMatchV6/Contains 34797141 31.83 ns/op 0 B/op 0 allocs/op
BenchmarkFullMissV4/Contains 46614062 22.72 ns/op 0 B/op 0 allocs/op
BenchmarkFullMissV6/Contains 61439612 16.79 ns/op 0 B/op 0 allocs/op
PASS
ok github.com/gaissmai/bart 18.153s
CONTRIBUTION
Please open an issue for discussion before sending a pull request.
CREDIT
Standing on the shoulders of giants.
Credits for many inspirations go to
- the clever guys at tailscale,
- to Daniel Lemire and his blog, 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!
LICENSE
MIT