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github.com/acomagu/trie
The Trie Tree implementation in Go. It has flexible interface and works fast as Radix Tree implementation.
This is basically an implementation of the algorithm described in 簡単なトライ - LINE ENGINEERING. I really appreciate the amazing ideas and the clear and easy-to-understand explanation.
Run make bench
to run it locally.
The task is to determine whether a string matches one of all Wikipedia titles.
Package | Time | Objects Allocated |
---|---|---|
acomagu/trie | 1090 ns/op | 0 allocs/op |
sauerbraten/radix | 2445 ns/op | 0 allocs/op |
dghubble/trie | 2576 ns/op | 0 allocs/op |
hashicorp/go-immutable-radix | 3660 ns/op | 0 allocs/op |
derekparker/trie | 4010 ns/op | 0 allocs/op |
armon/go-radix | 11745 ns/op | 0 allocs/op |
kkdai/radix | 18809 ns/op | 0 allocs/op |
tchap/go-patricia/patricia | 21498 ns/op | 0 allocs/op |
The task is to answer which of all Wikipedia titles can be the longest prefix of a string.
Package | Time | Objects Allocated |
---|---|---|
acomagu/trie | 140 ns/op | 0 allocs/op |
hashicorp/go-immutable-radix | 159 ns/op | 0 allocs/op |
tchap/go-patricia/patricia | 252 ns/op | 0 allocs/op |
derekparker/trie | 2374 ns/op | 0 allocs/op |
sauerbraten/radix | 3264938 ns/op | 0 allocs/op |
armon/go-radix | 22129827 ns/op | 1 allocs/op |
(dghubble/trie and kkdai/radix don't have way to do.)
The task is to prepare Trie/Radix Tree with all of the Wikipedia titles.
Package | Time | Objects Allocated |
---|---|---|
sauerbraten/radix | 118959250 ns/op | 408564 allocs/op |
acomagu/trie | 542902000 ns/op | 421906 allocs/op |
dghubble/trie | 609406300 ns/op | 1136281 allocs/op |
derekparker/trie | 1046705400 ns/op | 1801539 allocs/op |
armon/go-radix | 1750312500 ns/op | 1446050 allocs/op |
kkdai/radix | 2280362300 ns/op | 1742841 allocs/op |
tchap/go-patricia/patricia | 2898335700 ns/op | 1150947 allocs/op |
hashicorp/go-immutable-radix | 7614342400 ns/op | 45097986 allocs/op |
The common preparation for each examples:
keys := [][]byte{
[]byte("ab"),
[]byte("abc"),
[]byte("abd"),
}
values := []interface{}{1, 2, 3}
t := trie.New(keys, values)
New()
takes keys and values as the arguments. values[i]
is the value of the corresponding key, keys[i]
.
v, ok := t.Trace([]byte("abc")).Terminal()
fmt.Println(v, ok) // => 2 true
var v interface{}
var match bool
for _, c := range []byte("abcxxx") {
if t = t.TraceByte(c); t == nil {
break
}
if vv, ok := t.Terminal(); ok {
v = vv
match = true
}
}
fmt.Println(v, match) // => 2 true
No special function to get longest prefix because it can be implemented yourself easily using the existing methods.
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