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Refactor: A faster DomainMatcher implementation (#348)
Co-authored-by: DarthVader <61409963+darsvador@users.noreply.github.com>
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15 changed files with 912 additions and 52 deletions
243
common/strmatcher/ac_automaton_matcher.go
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243
common/strmatcher/ac_automaton_matcher.go
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package strmatcher
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import (
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"container/list"
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)
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const validCharCount = 53
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type MatchType struct {
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matchType Type
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exist bool
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}
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const (
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TrieEdge bool = true
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FailEdge bool = false
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)
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type Edge struct {
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edgeType bool
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nextNode int
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}
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type ACAutomaton struct {
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trie [][validCharCount]Edge
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fail []int
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exists []MatchType
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count int
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}
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func newNode() [validCharCount]Edge {
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var s [validCharCount]Edge
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for i := range s {
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s[i] = Edge{
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edgeType: FailEdge,
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nextNode: 0,
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}
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}
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return s
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}
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var char2Index = []int{
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'A': 0,
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'a': 0,
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'B': 1,
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'b': 1,
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'C': 2,
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'c': 2,
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'D': 3,
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'd': 3,
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'E': 4,
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'e': 4,
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'F': 5,
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'f': 5,
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'G': 6,
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'g': 6,
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'H': 7,
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'h': 7,
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'I': 8,
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'i': 8,
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'J': 9,
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'j': 9,
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'K': 10,
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'k': 10,
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'L': 11,
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'l': 11,
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'M': 12,
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'm': 12,
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'N': 13,
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'n': 13,
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'O': 14,
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'o': 14,
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'P': 15,
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'p': 15,
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'Q': 16,
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'q': 16,
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'R': 17,
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'r': 17,
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'S': 18,
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's': 18,
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'T': 19,
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't': 19,
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'U': 20,
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'u': 20,
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'V': 21,
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'v': 21,
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'W': 22,
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'w': 22,
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'X': 23,
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'x': 23,
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'Y': 24,
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'y': 24,
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'Z': 25,
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'z': 25,
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'!': 26,
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'$': 27,
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'&': 28,
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'\'': 29,
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'(': 30,
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')': 31,
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'*': 32,
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'+': 33,
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',': 34,
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';': 35,
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'=': 36,
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':': 37,
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'%': 38,
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'-': 39,
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'.': 40,
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'_': 41,
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'~': 42,
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'0': 43,
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'1': 44,
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'2': 45,
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'3': 46,
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'4': 47,
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'5': 48,
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'6': 49,
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'7': 50,
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'8': 51,
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'9': 52,
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}
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func NewACAutomaton() *ACAutomaton {
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var ac = new(ACAutomaton)
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ac.trie = append(ac.trie, newNode())
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ac.fail = append(ac.fail, 0)
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ac.exists = append(ac.exists, MatchType{
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matchType: Full,
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exist: false,
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})
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return ac
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}
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func (ac *ACAutomaton) Add(domain string, t Type) {
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var node = 0
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for i := len(domain) - 1; i >= 0; i-- {
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var idx = char2Index[domain[i]]
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if ac.trie[node][idx].nextNode == 0 {
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ac.count++
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if len(ac.trie) < ac.count+1 {
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ac.trie = append(ac.trie, newNode())
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ac.fail = append(ac.fail, 0)
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ac.exists = append(ac.exists, MatchType{
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matchType: Full,
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exist: false,
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})
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}
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ac.trie[node][idx] = Edge{
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edgeType: TrieEdge,
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nextNode: ac.count,
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}
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}
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node = ac.trie[node][idx].nextNode
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}
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ac.exists[node] = MatchType{
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matchType: t,
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exist: true,
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}
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switch t {
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case Domain:
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ac.exists[node] = MatchType{
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matchType: Full,
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exist: true,
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}
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var idx = char2Index['.']
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if ac.trie[node][idx].nextNode == 0 {
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ac.count++
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if len(ac.trie) < ac.count+1 {
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ac.trie = append(ac.trie, newNode())
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ac.fail = append(ac.fail, 0)
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ac.exists = append(ac.exists, MatchType{
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matchType: Full,
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exist: false,
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})
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}
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ac.trie[node][idx] = Edge{
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edgeType: TrieEdge,
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nextNode: ac.count,
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}
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}
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node = ac.trie[node][idx].nextNode
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ac.exists[node] = MatchType{
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matchType: t,
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exist: true,
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}
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default:
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break
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}
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}
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func (ac *ACAutomaton) Build() {
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var queue = list.New()
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for i := 0; i < validCharCount; i++ {
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if ac.trie[0][i].nextNode != 0 {
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queue.PushBack(ac.trie[0][i])
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}
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}
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for {
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var front = queue.Front()
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if front == nil {
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break
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} else {
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var node = front.Value.(Edge).nextNode
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queue.Remove(front)
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for i := 0; i < validCharCount; i++ {
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if ac.trie[node][i].nextNode != 0 {
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ac.fail[ac.trie[node][i].nextNode] = ac.trie[ac.fail[node]][i].nextNode
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queue.PushBack(ac.trie[node][i])
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} else {
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ac.trie[node][i] = Edge{
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edgeType: FailEdge,
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nextNode: ac.trie[ac.fail[node]][i].nextNode,
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}
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}
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}
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}
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}
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}
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func (ac *ACAutomaton) Match(s string) bool {
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var node = 0
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var fullMatch = true
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// 1. the match string is all through trie edge. FULL MATCH or DOMAIN
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// 2. the match string is through a fail edge. NOT FULL MATCH
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// 2.1 Through a fail edge, but there exists a valid node. SUBSTR
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for i := len(s) - 1; i >= 0; i-- {
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var idx = char2Index[s[i]]
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fullMatch = fullMatch && ac.trie[node][idx].edgeType
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node = ac.trie[node][idx].nextNode
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switch ac.exists[node].matchType {
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case Substr:
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return true
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case Domain:
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if fullMatch {
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return true
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}
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default:
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break
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}
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}
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return fullMatch && ac.exists[node].exist
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}
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