# Implement Trie

## Question

Implement a trie with insert, search, and startsWith methods.

**Note**:

You may assume that all inputs are consist of lowercase letters `a-z`.

## Analysis

[https://leetcode.com/articles/implement-trie-prefix-tree/](https://leetcode.com/articles/implement-trie-prefix-tree/)

Trie Node Definition

```java
class TrieNode {

    // R links to node children
    private TrieNode[] links;

    private final int R = 26;

    private boolean isEnd;

    public TrieNode() {
        links = new TrieNode[R];
    }

    public boolean containsKey(char ch) {
        return links[ch -'a'] != null;
    }
    public TrieNode get(char ch) {
        return links[ch -'a'];
    }
    public void put(char ch, TrieNode node) {
        links[ch -'a'] = node;
    }
    public void setEnd() {
        isEnd = true;
    }
    public boolean isEnd() {
        return isEnd;
    }
}
```

```java
class Trie {
    private TrieNode root;

    public Trie() {
        root = new TrieNode();
    }

    // Inserts a word into the trie.
    public void insert(String word) {
        TrieNode node = root;
        for (int i = 0; i < word.length(); i++) {
            char currentChar = word.charAt(i);
            if (!node.containsKey(currentChar)) {
                node.put(currentChar, new TrieNode());
            }
            node = node.get(currentChar);
        }
        node.setEnd();
    }
        // search a prefix or whole key in trie and
    // returns the node where search ends
    private TrieNode searchPrefix(String word) {
        TrieNode node = root;
        for (int i = 0; i < word.length(); i++) {
           char curLetter = word.charAt(i);
           if (node.containsKey(curLetter)) {
               node = node.get(curLetter);
           } else {
               return null;
           }
        }
        return node;
    }

    // Returns if the word is in the trie.
    public boolean search(String word) {
       TrieNode node = searchPrefix(word);
       return node != null && node.isEnd();
    }

    // Returns if there is any word in the trie
    // that starts with the given prefix.
    public boolean startsWith(String prefix) {
        TrieNode node = searchPrefix(prefix);
        return node != null;
    }
}
```

## Solution

**Implementation 1 - using hashmap for characters**

A trie node should contains the character, its children and the flag that marks if it is a leaf node. You can use this diagram to walk though the Java solution.

```java
class TrieNode {
    // Initialize your data structure here.
    char c;
    HashMap<Character, TrieNode> children = new HashMap<Character, TrieNode>();
    boolean isLeaf;

    public TrieNode() {}

    public TrieNode(char c) {
        this.c = c;
    }
}

public class Trie {
    private TrieNode root;

    public Trie() {
        root = new TrieNode();
    }

    // Inserts a word into the trie.
    public void insert(String word) {
        HashMap<Character, TrieNode> children = root.children;

        for (int i = 0; i < word.length(); i++) {
            char c = word.charAt(i);

            TrieNode t;
            if (children.containsKey(c)) {
                t = children.get(c);
            } else {
                t = new TrieNode(c);
                children.put(c, t);
            }

            children = t.children;

            // Set leaf node
            if (i == word.length() - 1) {
                t.isLeaf = true;
            }
        }
    }

    // Returns if the word is in the trie.
    public boolean search(String word) {
        TrieNode t = searchNode(word);

        if (t != null && t.isLeaf) {
            return true;
        } else {
            return false;
        }
    }

    // Returns if there is any word in the trie
    // that starts with the given prefix.
    public boolean startsWith(String prefix) {
        if (searchNode(prefix) == null) {
            return false;
        } else {
            return true;
        }
    }

    // Search a String in Trie, return TrieNode if exists
    public TrieNode searchNode(String str) {
        HashMap<Character, TrieNode> children = root.children;
        TrieNode t = null;
        for (int i = 0; i < str.length(); i++) {
            char c = str.charAt(i);
            if (children.containsKey(c)) {
                t = children.get(c);
                children = t.children;
            } else {
                return null;
            }
        }
        return t;
    }
}

// Your Trie object will be instantiated and called as such:
// Trie trie = new Trie();
// trie.insert("somestring");
// trie.search("key");
```

LeetCode official solution

```java
class Trie {
    class TrieNode {
        public boolean isWord; 
        public Map<Character, TrieNode> childrenMap = new HashMap<>();
    }

    private TrieNode root; 

    /** Initialize your data structure here. */
    public Trie() {
        root = new TrieNode();
    }

    /** Inserts a word into the trie. */
    public void insert(String word) {
        TrieNode cur = root;
        for(int i = 0; i < word.length(); i++){
            char c = word.charAt(i);
            if(cur.childrenMap.get(c) == null){
                // insert a new node if the path does not exist
                cur.childrenMap.put(c, new TrieNode());
            }
            cur = cur.childrenMap.get(c); 
        }
        cur.isWord = true;
    }

    /** Returns if the word is in the trie. */
    public boolean search(String word) {
        TrieNode cur = root;
        for(int i = 0; i < word.length(); i++) {
            char c = word.charAt(i);
            if(cur.childrenMap.get(c) == null) {
                return false;
            }
            cur = cur.childrenMap.get(c);
        }
        return cur.isWord;
    }

    /** Returns if there is any word in the trie that starts with the given prefix. */
    public boolean startsWith(String prefix) {
        TrieNode cur = root;
        for(int i = 0;i < prefix.length(); i++){
            char c = prefix.charAt(i);
            if(cur.childrenMap.get(c) == null) {
                return false;
            }
            cur = cur.childrenMap.get(c);
        }
        return true;
    }
}
```

**Java Implementation 2 - Using array for characters**

Each trie node can only contains 'a'-'z' characters. So we can use a small array to store the character.

```java
class TrieNode {
    TrieNode[] arr;
    boolean isEnd;
    // Initialize your data structure here.
    public TrieNode() {
        this.arr = new TrieNode[26];
    }

}

public class Trie {
    private TrieNode root;

    public Trie() {
        root = new TrieNode();
    }

    // Inserts a word into the trie.
    public void insert(String word) {
        TrieNode p = root;
        for(int i=0; i<word.length(); i++){
            char c = word.charAt(i);
            int index = c-'a';
            if(p.arr[index]==null){
                TrieNode temp = new TrieNode();
                p.arr[index]=temp;
                p = temp;
            }else{
                p=p.arr[index];
            }
        }
        p.isEnd=true;
    }

    // Returns if the word is in the trie.
    public boolean search(String word) {
        TrieNode p = searchNode(word);
        if(p==null){
            return false;
        }else{
            if(p.isEnd)
                return true;
        }

        return false;
    }

    // Returns if there is any word in the trie
    // that starts with the given prefix.
    public boolean startsWith(String prefix) {
        TrieNode p = searchNode(prefix);
        if(p==null){
            return false;
        }else{
            return true;
        }
    }

    public TrieNode searchNode(String s){
        TrieNode p = root;
        for(int i=0; i<s.length(); i++){
            char c= s.charAt(i);
            int index = c-'a';
            if(p.arr[index]!=null){
                p = p.arr[index];
            }else{
                return null;
            }
        }

        if(p==root)
            return null;

        return p;
    }
}
```

## Reference

* [programcreek: LeetCode – Implement Trie (Prefix Tree) (Java)](http://www.programcreek.com/2014/05/leetcode-implement-trie-prefix-tree-java/)
