我重写了devinmore的方法，该方法在不使用迭代器的情况下，根据地图的值对其进行排序：

public static Map<K, V> sortMapByValue(Map<K, V> inputMap) {

    Set<Entry<K, V>> set = inputMap.entrySet();
    List<Entry<K, V>> list = new ArrayList<Entry<K, V>>(set);

    Collections.sort(list, new Comparator<Map.Entry<K, V>>()
    {
        @Override
        public int compare(Entry<K, V> o1, Entry<K, V> o2) {
            return (o1.getValue()).compareTo( o2.getValue() );  //Ascending order
        }
    } );

    Map<K, V> sortedMap = new LinkedHashMap<>();

    for(Map.Entry<K, V> entry : list){
        sortedMap.put(entry.getKey(), entry.getValue());
    }

    return sortedMap;
}

注意：我们使用LinkedHashMap作为输出映射，因为我们的列表已经按值排序，现在我们应该按照插入键值的顺序将列表存储到输出映射中。因此，如果您使用例如TreeMap作为输出地图，您的地图将再次按地图键排序！

这是主要方法：

public static void main(String[] args) {
    Map<String, String> map = new HashMap<>();
    map.put("3", "three");
    map.put("1", "one");
    map.put("5", "five");
    System.out.println("Input Map:" + map);
    System.out.println("Sorted Map:" + sortMapByValue(map));
}

最后，这是输出：

Input Map:{1=one, 3=three, 5=five}
Sorted Map:{5=five, 1=one, 3=three}

使用java.util.TreeMap。

映射根据其键的自然顺序进行排序，或由创建映射时提供的Comparator进行排序，具体取决于使用的构造函数

基于@devinmore代码，一种使用泛型并支持升序和降序排序的map排序方法。

/**
 * Sort a map by it's keys in ascending order. 
 *  
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMapByKey(final Map<K, V> map) {
    return sortMapByKey(map, SortingOrder.ASCENDING);
}

/**
 * Sort a map by it's values in ascending order.
 *  
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMapByValue(final Map<K, V> map) {
    return sortMapByValue(map, SortingOrder.ASCENDING);
}

/**
 * Sort a map by it's keys.
 *  
 * @param sortingOrder {@link SortingOrder} enum specifying requested sorting order. 
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMapByKey(final Map<K, V> map, final SortingOrder sortingOrder) {
    Comparator<Map.Entry<K, V>> comparator = new Comparator<Entry<K,V>>() {
        public int compare(Entry<K, V> o1, Entry<K, V> o2) {
            return comparableCompare(o1.getKey(), o2.getKey(), sortingOrder);
        }
    };

    return sortMap(map, comparator);
}

/**
 * Sort a map by it's values.
 *  
 * @param sortingOrder {@link SortingOrder} enum specifying requested sorting order. 
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMapByValue(final Map<K, V> map, final SortingOrder sortingOrder) {
    Comparator<Map.Entry<K, V>> comparator = new Comparator<Entry<K,V>>() {
        public int compare(Entry<K, V> o1, Entry<K, V> o2) {
            return comparableCompare(o1.getValue(), o2.getValue(), sortingOrder);
        }
    };

    return sortMap(map, comparator);
}

@SuppressWarnings("unchecked")
private static <T> int comparableCompare(T o1, T o2, SortingOrder sortingOrder) {
    int compare = ((Comparable<T>)o1).compareTo(o2);

    switch (sortingOrder) {
    case ASCENDING:
        return compare;
    case DESCENDING:
        return (-1) * compare;
    }

    return 0;
}

/**
 * Sort a map by supplied comparator logic.
 *  
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMap(final Map<K, V> map, final Comparator<Map.Entry<K, V>> comparator) {
    // Convert the map into a list of key,value pairs.
    List<Map.Entry<K, V>> mapEntries = new LinkedList<Map.Entry<K, V>>(map.entrySet());

    // Sort the converted list according to supplied comparator.
    Collections.sort(mapEntries, comparator);

    // Build a new ordered map, containing the same entries as the old map.  
    LinkedHashMap<K, V> result = new LinkedHashMap<K, V>(map.size() + (map.size() / 20));
    for(Map.Entry<K, V> entry : mapEntries) {
        // We iterate on the mapEntries list which is sorted by the comparator putting new entries into 
        // the targeted result which is a sorted map. 
        result.put(entry.getKey(), entry.getValue());
    }

    return result;
}

/**
 * Sorting order enum, specifying request result sort behavior.
 * @author Maxim Veksler
 *
 */
public static enum SortingOrder {
    /**
     * Resulting sort will be from smaller to biggest.
     */
    ASCENDING,
    /**
     * Resulting sort will be from biggest to smallest.
     */
    DESCENDING
}

最干净的方法是利用集合对值进行排序：

Map<String, Long> map = new HashMap<String, Long>();
// populate with data to sort on Value
// use datastructure designed for sorting

Queue queue = new PriorityQueue( map.size(), new MapComparable() );
queue.addAll( map.entrySet() );

// get a sorted map
LinkedHashMap<String, Long> linkedMap = new LinkedHashMap<String, Long>();

for (Map.Entry<String, Long> entry; (entry = queue.poll())!=null;) {
    linkedMap.put(entry.getKey(), entry.getValue());
}

public static class MapComparable implements Comparator<Map.Entry<String, Long>>{

  public int compare(Entry<String, Long> e1, Entry<String, Long> e2) {
    return e1.getValue().compareTo(e2.getValue());
  }
}

您可以尝试Guava的多功能地图：

TreeMap<Integer, Collection<String>> sortedMap = new TreeMap<>(
        Multimaps.invertFrom(Multimaps.forMap(originalMap), 
        ArrayListMultimap.<Integer, String>create()).asMap());

因此，您将获得从原始值到对应于它们的键集合的映射。即使同一值有多个键，也可以使用此方法。

这是Anthony答案的变体，如果存在重复值，则该答案无效：

public static <K, V extends Comparable<V>> Map<K, V> sortMapByValues(final Map<K, V> map) {
    Comparator<K> valueComparator =  new Comparator<K>() {
        public int compare(K k1, K k2) {
            final V v1 = map.get(k1);
            final V v2 = map.get(k2);

            /* Not sure how to handle nulls ... */
            if (v1 == null) {
                return (v2 == null) ? 0 : 1;
            }

            int compare = v2.compareTo(v1);
            if (compare != 0)
            {
                return compare;
            }
            else
            {
                Integer h1 = k1.hashCode();
                Integer h2 = k2.hashCode();
                return h2.compareTo(h1);
            }
        }
    };
    Map<K, V> sortedByValues = new TreeMap<K, V>(valueComparator);
    sortedByValues.putAll(map);
    return sortedByValues;
}

注意，如何处理空值还很难说。

这种方法的一个重要优点是它实际上返回了一个Map，这与这里提供的其他解决方案不同。