Master Trie (Prefix Tree) in Go: Insertion, Search, Deletion & Unit Tests
This article introduces the Trie (prefix tree) data structure, explains its basic architecture, demonstrates insertion, search, and deletion operations with complete Go implementations, and provides practical unit tests and real‑world applications such as autocomplete, spell checking, and IP routing.
Introduction
Trie (prefix tree) is a multi‑branch tree for efficient string insertion, deletion, and lookup. Commonly used in autocomplete, spell checking, and IP routing.
Basic Structure
Each node stores a character; the path from the root to a node forms a prefix. Edges correspond to characters, and a boolean flag marks the end of a word.
Example
(root)
/ \
c b
/ \ / \
a a a a
/ \ / / \
t p t rOperations
Insertion
Walk the tree character by character, creating missing nodes.
Go implementation
type TrieNode struct {
children map[rune]*TrieNode
isEnd bool
}
type Trie struct {
root *TrieNode
}
func NewTrie() *Trie {
return &Trie{root: &TrieNode{children: make(map[rune]*TrieNode)}}
}
func (t *Trie) Insert(word string) {
node := t.root
for _, char := range word {
if _, found := node.children[char]; !found {
node.children[char] = &TrieNode{children: make(map[rune]*TrieNode)}
}
node = node.children[char]
}
node.isEnd = true
}Search
Verify each character exists and that the final node is marked as a word end.
Go implementation
func (t *Trie) Search(word string) bool {
node := t.root
for _, char := range word {
if _, found := node.children[char]; !found {
return false
}
node = node.children[char]
}
return node.isEnd
}Deletion
Recursively remove nodes that are no longer needed after unmarking the word end.
Go implementation
func (t *Trie) Delete(word string) bool {
return t.deleteHelper(t.root, word, 0)
}
func (t *Trie) deleteHelper(node *TrieNode, word string, depth int) bool {
if node == nil {
return false
}
if depth == len(word) {
if !node.isEnd {
return false
}
node.isEnd = false
return len(node.children) == 0
}
char := rune(word[depth])
if t.deleteHelper(node.children[char], word, depth+1) {
delete(node.children, char)
return !node.isEnd && len(node.children) == 0
}
return false
}Applications
Autocomplete – suggest completions for a typed prefix.
Spell checking – verify word existence in a dictionary.
IP routing – store and lookup IP address prefixes efficiently.
Complete Go Code
package trie
type TrieNode struct {
children map[rune]*TrieNode
isEnd bool
}
type Trie struct {
root *TrieNode
}
func NewTrie() *Trie {
return &Trie{root: &TrieNode{children: make(map[rune]*TrieNode)}}
}
func (t *Trie) Insert(word string) {
node := t.root
for _, char := range word {
if _, found := node.children[char]; !found {
node.children[char] = &TrieNode{children: make(map[rune]*TrieNode)}
}
node = node.children[char]
}
node.isEnd = true
}
func (t *Trie) Search(word string) bool {
node := t.root
for _, char := range word {
if _, found := node.children[char]; !found {
return false
}
node = node.children[char]
}
return node.isEnd
}
func (t *Trie) Delete(word string) bool {
return t.deleteHelper(t.root, word, 0)
}
func (t *Trie) deleteHelper(node *TrieNode, word string, depth int) bool {
if node == nil {
return false
}
if depth == len(word) {
if !node.isEnd {
return false
}
node.isEnd = false
return len(node.children) == 0
}
char := rune(word[depth])
if t.deleteHelper(node.children[char], word, depth+1) {
delete(node.children, char)
return !node.isEnd && len(node.children) == 0
}
return false
}Unit Tests
package trie
import "testing"
func TestTrie_Insert(t *testing.T) {
trie := NewTrie()
trie.Insert("apple")
trie.Insert("app")
trie.Insert("banana")
trie.Insert("bat")
if !trie.Search("apple") { t.Errorf("Expected 'apple' to be found") }
if !trie.Search("app") { t.Errorf("Expected 'app' to be found") }
if !trie.Search("banana") { t.Errorf("Expected 'banana' to be found") }
if !trie.Search("bat") { t.Errorf("Expected 'bat' to be found") }
if trie.Search("orange") { t.Errorf("Expected 'orange' to not be found") }
if trie.Search("appl") { t.Errorf("Expected 'appl' to not be found") }
if trie.Search("b") { t.Errorf("Expected 'b' to not be found") }
// Additional test cases omitted for brevity
}Conclusion
Trie provides an efficient way to handle string‑based problems; mastering its core operations and typical use‑cases can improve performance in many software projects.
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