Longest Common Prefix using Trie

Given a set of strings, find the longest common prefix.

Input  : {“geeksforgeeks”, “geeks”, “geek”, “geezer”}
Output : "gee"

Input  : {"apple", "ape", "april"}
Output : "ap"

Previous Approaches : Word by Word Matching , Character by Character Matching, Divide and Conquer , Binary Search. In this article, an approach using Trie date structure is discussed. Steps:

• Insert all the words one by one in the trie. After inserting we perform a walk on the trie.
• In this walk, go deeper until we find a node having more than 1 children(branching occurs) or 0 children (one of the string gets exhausted). This is because the characters (nodes in trie) which are present in the longest common prefix must be the single child of its parent, i.e- there should not be branching in any of these nodes.

Algorithm Illustration considering strings as – “geeksforgeeks”, “geeks”, “geek”, “geezer”

C++

// A Program to find the longest common
// prefix of the given words

#include<bits/stdc++.h>
using namespace std;

// Alphabet size (# of symbols)
#define ALPHABET_SIZE (26)

// Converts key current character into index
// use only 'a' through 'z' and lower case
#define CHAR_TO_INDEX(c) ((int)c - (int)'a')

// Trie node
struct TrieNode
{
    struct TrieNode *children[ALPHABET_SIZE];

    // isLeaf is true if the node represents
    // end of a word
    bool isLeaf;
};

// Returns new trie node (initialized to NULLs)
struct TrieNode *getNode(void)
{
    struct TrieNode *pNode = new TrieNode;

    if (pNode)
    {
        int i;

        pNode->isLeaf = false;

        for (i = 0; i < ALPHABET_SIZE; i++)
            pNode->children[i] = NULL;
    }

    return pNode;
}

// If not present, inserts the key into the trie
// If the key is a prefix of trie node, just marks leaf node
void insert(struct TrieNode *root, string key)
{
    int length = key.length();
    int index;

    struct TrieNode *pCrawl = root;

    for (int level = 0; level < length; level++)
    {
        index = CHAR_TO_INDEX(key[level]);
        if (!pCrawl->children[index])
            pCrawl->children[index] = getNode();

        pCrawl = pCrawl->children[index];
    }

    // mark last node as leaf
    pCrawl->isLeaf = true;
}

// Counts and returns the number of children of the
// current node
int countChildren(struct TrieNode *node, int *index)
{
    int count = 0;
    for (int i=0; i<ALPHABET_SIZE; i++)
    {
        if (node->children[i] != NULL)
        {
            count++;
            *index = i;
        }
    }
    return (count);
}

// Perform a walk on the trie and return the
// longest common prefix string
string walkTrie(struct TrieNode *root)
{
    struct TrieNode *pCrawl = root;
    int index;
    string prefix;

    while (countChildren(pCrawl, &index) == 1 &&
            pCrawl->isLeaf == false)
    {
        pCrawl = pCrawl->children[index];
        prefix.push_back('a'+index);
    }
    return (prefix);
}

// A Function to construct trie
void constructTrie(string arr[], int n, struct TrieNode *root)
{
    for (int i = 0; i < n; i++)
        insert (root, arr[i]);
    return;
}

// A Function that returns the longest common prefix
// from the array of strings
string commonPrefix(string arr[], int n)
{
    struct TrieNode *root = getNode();
    constructTrie(arr, n, root);

    // Perform a walk on the trie
    return walkTrie(root);
}

// Driver program to test above function
int main()
{
    string arr[] = {"geeksforgeeks", "geeks",
                    "geek", "geezer"};
    int n = sizeof (arr) / sizeof (arr[0]);

    string ans = commonPrefix(arr, n);

    if (ans.length())
        cout << "The longest common prefix is "
             << ans;
    else
        cout << "There is no common prefix";
    return (0);
}

Java

// Java Program to find the longest common
// prefix of the given words
public class Longest_common_prefix {

    // Alphabet size (# of symbols)
    static final int ALPHABET_SIZE = 26;

    // Trie node
    static class TrieNode
    {
        TrieNode[] children = new TrieNode[ALPHABET_SIZE];

        // isLeaf is true if the node represents
        // end of a word
        boolean isLeaf;

        // constructor
        public TrieNode() {
            isLeaf = false;
            for (int i = 0; i < ALPHABET_SIZE; i++)
                children[i] = null;
        }
    };

    static TrieNode root;
    static int indexs;

    // If not present, inserts the key into the trie
    // If the key is a prefix of trie node, just marks
    // leaf node
    static void insert(String key)
    {
        int length = key.length();
        int index;

        TrieNode pCrawl = root;

        for (int level = 0; level < length; level++)
        {
            index = key.charAt(level) - 'a';
            if (pCrawl.children[index] == null)
                pCrawl.children[index] = new TrieNode();

            pCrawl = pCrawl.children[index];
        }

        // mark last node as leaf
        pCrawl.isLeaf = true;
    }

    // Counts and returns the number of children of the
    // current node
    static int countChildren(TrieNode node)
    {
        int count = 0;
        for (int i=0; i<ALPHABET_SIZE; i++)
        {
            if (node.children[i] != null)
            {
                count++;
                indexs = i;
            }
        }
        return (count);
    }

    // Perform a walk on the trie and return the
    // longest common prefix string
    static String walkTrie()
    {
        TrieNode pCrawl = root;
        indexs = 0;
        String prefix = "";

        while (countChildren(pCrawl) == 1 &&
                pCrawl.isLeaf == false)
        {
            pCrawl = pCrawl.children[indexs];
            prefix += (char)('a' + indexs);
        }
        return prefix;
    }

    // A Function to construct trie
    static void constructTrie(String arr[], int n)
    {
        for (int i = 0; i < n; i++)
            insert (arr[i]);
        return;
    }

    // A Function that returns the longest common prefix
    // from the array of strings
    static String commonPrefix(String arr[], int n)
    {
        root = new TrieNode();
        constructTrie(arr, n);

        // Perform a walk on the trie
        return walkTrie();
    }

    // Driver program to test above function
    public static void main(String args[])
    {
        String arr[] = {"geeksforgeeks", "geeks",
                        "geek", "geezer"};
        int n = arr.length;

        String ans = commonPrefix(arr, n);

        if (ans.length() != 0)
            System.out.println("The longest common prefix is "+ans);
        else
            System.out.println("There is no common prefix");
    }
}
// This code is contributed by Sumit Ghosh

Python3

# Python 3 program to find the longest common prefix
ALPHABET_SIZE = 26
indexs = 0
class TrieNode:
    # constructor
    def __init__(self):
        self.isLeaf = False
        self.children = [None]*ALPHABET_SIZE

# Function to facilitate insertion in Trie
# If not present, insert the node in the Trie
def insert(key, root):
    pCrawl = root
    for level in range(len(key)):
        index = ord(key[level]) - ord('a')
        if pCrawl.children[index] == None:
            pCrawl.children[index] = TrieNode()
        pCrawl = pCrawl.children[index]
    pCrawl.isLeaf = True

# Function to construct Trie
def constructTrie(arr, n, root):
    for i in range(n):
        insert(arr[i], root)

# Counts and returns number of children of the node
def countChildren(node):
    count = 0
    for i in range(ALPHABET_SIZE):
        if node.children[i] != None:
            count +=1
            # Keeping track of diversion in the trie
            global indexs
            indexs = i
    return count

# Perform walk on trie and return longest common prefix
def walkTrie(root):
    pCrawl = root
    prefix = ""
    while(countChildren(pCrawl) == 1 and pCrawl.isLeaf == False):
        pCrawl = pCrawl.children[indexs]
        prefix += chr(97 + indexs)
    return prefix or -1

# Function that returns longest common prefix
def commonPrefix(arr, n, root):
    constructTrie(arr, n, root)
    return walkTrie(root)

# Driver code to test the code
n = 4
arr = ["geeksforgeeks", "geeks", "geek", "geezer"]
root = TrieNode()
print(commonPrefix(arr,n, root))

# This code is Contributed by Akshay Jain (DA-IICT)

C#

// C# Program to find the longest common
// prefix of the given words
using System;

public class Longest_common_prefix
{

    // Alphabet size (# of symbols)
    static readonly int ALPHABET_SIZE = 26;

    // Trie node
    public class TrieNode
    {
        public TrieNode[] children = new TrieNode[ALPHABET_SIZE];

        // isLeaf is true if the node represents
        // end of a word
        public bool isLeaf;

        // constructor
        public TrieNode()
        {
            isLeaf = false;
            for (int i = 0; i < ALPHABET_SIZE; i++)
                children[i] = null;
        }
    };

    static TrieNode root;
    static int indexs;

    // If not present, inserts the key into the trie
    // If the key is a prefix of trie node, just marks
    // leaf node
    static void insert(String key)
    {
        int length = key.Length;
        int index;

        TrieNode pCrawl = root;

        for (int level = 0; level < length; level++)
        {
            index = key[level] - 'a';
            if (pCrawl.children[index] == null)
                pCrawl.children[index] = new TrieNode();

            pCrawl = pCrawl.children[index];
        }

        // mark last node as leaf
        pCrawl.isLeaf = true;
    }

    // Counts and returns the number of children of the
    // current node
    static int countChildren(TrieNode node)
    {
        int count = 0;
        for (int i = 0; i < ALPHABET_SIZE; i++)
        {
            if (node.children[i] != null)
            {
                count++;
                indexs = i;
            }
        }
        return (count);
    }

    // Perform a walk on the trie and return the
    // longest common prefix string
    static String walkTrie()
    {
        TrieNode pCrawl = root;
        indexs = 0;
        String prefix = "";

        while (countChildren(pCrawl) == 1 &&
                pCrawl.isLeaf == false)
        {
            pCrawl = pCrawl.children[indexs];
            prefix += (char)('a' + indexs);
        }
        return prefix;
    }

    // A Function to construct trie
    static void constructTrie(String []arr, int n)
    {
        for (int i = 0; i < n; i++)
            insert (arr[i]);
        return;
    }

    // A Function that returns the longest common prefix
    // from the array of strings
    static String commonPrefix(String []arr, int n)
    {
        root = new TrieNode();
        constructTrie(arr, n);

        // Perform a walk on the trie
        return walkTrie();
    }

    // Driver program to test above function
    public static void Main(String []args)
    {
        String []arr = {"geeksforgeeks", "geeks",
                        "geek", "geezer"};
        int n = arr.Length;

        String ans = commonPrefix(arr, n);

        if (ans.Length != 0)
            Console.WriteLine("The longest common prefix is "+ans);
        else
            Console.WriteLine("There is no common prefix");
    }
}

// This code contributed by Rajput-Ji

Javascript

<script>
    // Javascript Program to find the longest common
    // prefix of the given words

    const ALPHABET_SIZE = 26;

    // Converts key current character into index
    // use only 'a' through 'z' and lower case
    const CHAR_TO_INDEX = (c) => c.charCodeAt(0) - 'a'.charCodeAt(0);

    // Trie node
    class TrieNode {
      constructor() {
        this.children = Array(ALPHABET_SIZE).fill(null);
        this.isLeaf = false;
      }
    }

    // Returns new trie node (initialized to NULLs)
    const getNode = () => new TrieNode();

    // If not present, inserts the key into the trie
    // If the key is a prefix of trie node, just marks leaf node
    const insert = (root, key) => {
      let length = key.length;
      let index;

      let pCrawl = root;

      for (let level = 0; level < length; level++) {
        index = CHAR_TO_INDEX(key[level]);
        if (!pCrawl.children[index]) {
          pCrawl.children[index] = getNode();
        }

        pCrawl = pCrawl.children[index];
      }

      // mark last node as leaf
      pCrawl.isLeaf = true;
    };

    // Counts and returns the number of children of the
    // current node
    const countChildren = (node, index) => {
      let count = 0;
      for (let i = 0; i < ALPHABET_SIZE; i++) {
        if (node.children[i] != null) {
          count++;
          index[0] = i;
        }
      }
      return count;
    };

    // Perform a walk on the trie and return the
    // longest common prefix string
    const walkTrie = (root) => {
      let pCrawl = root;
      let index = [];
      let prefix = "";

      while (countChildren(pCrawl, index) === 1 && !pCrawl.isLeaf) {
        pCrawl = pCrawl.children[index[0]];
        prefix += String.fromCharCode("a".charCodeAt(0) + index[0]);
      }
      return prefix;
    };

    // A Function to construct trie
    function constructTrie(arr, n, root) {
      for (let i = 0; i < n; i++) {
        insert(root, arr[i]);
      }
      return;
    };

    // A Function that returns the longest common prefix
    // from the array of strings
    function commonPrefix(arr, n) {
      let root = getNode();
      constructTrie(arr, n, root);

      // Perform a walk on the trie
      return walkTrie(root);
    };

    // Driver program to test above function
      let arr = ["geeksforgeeks", "geeks", "geek", "geezer"];
      let n = arr.length;

      let ans = commonPrefix(arr, n);

      if (ans.length) {
        document.write("The longest common prefix is "+ans);
      }
      else
      {
          document.write("There is no common prefix");
      }

        // This code is contributed by Aman Kumar.
</script>

Output :

The longest common prefix is gee

Time Complexity : Inserting all the words in the trie takes O(MN) time and performing a walk on the trie takes O(M) time, where-

N = Number of strings
M = Length of the largest string

Auxiliary Space: To store all the strings we need to allocate O(26*M*N) ~ O(MN) space for the Trie.   This article is contributed by Rachit Belwariar. If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above