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Home/ Questions/Q 7169673
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Editorial Team
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Editorial Team
Asked: May 28, 20262026-05-28T15:03:10+00:00 2026-05-28T15:03:10+00:00

I want to implement a high speed in memory implementation of Trie to create

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I want to implement a high speed in memory implementation of Trie to create backend to auto suggestion / spell checker.
Is there already some good implementation based on in memory implementations like hazlecast.
Also which java open source tool is best suggested for these kind of usage

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  1. Editorial Team
    Editorial Team
    2026-05-28T15:03:11+00:00Added an answer on May 28, 2026 at 3:03 pm

    I would use a plain NavigableSet like TreeSet. Its built in and supports range searches.

     NavigableSet<String> words = new TreeSet<String>();
     // add words.
     String startsWith = ...
     SortedSet<String> matching = words.subSet(startsWith, startsWith + '\uFFFF');
    

    If you want something more memory efficient you can use an array.

    List<String> words = new ArrayList<String>();
    words.add("aa");
    words.add("ab");
    words.add("ac");
    words.add("ba");
    Collections.sort(words);
    
    String startsWith = "a";
    int first = Collections.binarySearch(words, startsWith);
    int last = Collections.binarySearch(words, startsWith.concat("\uFFFF"));
    if (first < 0) first = ~first;
    if (last < 0) last = ~last - 1;
    for (int i = first; i <= last; i++) {
        System.out.println(words.get(i));
    }
    
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