用Java中最简单的方式对任何Hashmap进行排序。我们不需要将其存储在树图、列表等中。

在这里，我将使用Java Streams：

让我们按其值（升序）对该地图进行排序

Map<String, Integer> mp= new HashMap<>();
mp.put("zebra", 1);
mp.put("blossom", 2);
mp.put("gemini", 3);
mp.put("opera", 7);
mp.put("adelaide", 10);

Map<String, Integer> resultMap= mp.entrySet().stream().sorted(Map.Entry.<String, Integer>comparingByValue()).collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,(e1, e2) -> e1, LinkedHashMap::new));

现在，您可以通过多种方式打印排序后的resultMap，例如使用高级for循环或迭代器。

上面的映射也可以按值的降序排序

 Map<String, Integer> resultMap= mp.entrySet().stream().sorted(Map.Entry.<String, Integer>comparingByValue().reversed()).collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,(e1, e2) -> e1, LinkedHashMap::new));

现在让我们来看另一个场景，我们将“User”存储在地图中，并根据“User”的“name”按升序（词典）对其进行排序：

User u1= new User("hi", 135);
User u2= new User("bismuth", 900);
User u3= new User("alloy", 675);
User u4= new User("jupiter", 342);
User u5= new User("lily", 941);

Map<String, User> map2= new HashMap<>();
map2.put("zebra", u3);
map2.put("blossom", u5);
map2.put("gemini", u1);
map2.put("opera", u2);
map2.put("adelaide", u4);


Map<String, User>  resultMap= 
          map2.entrySet().stream().sorted(Map.Entry.<String, User>comparingByValue( (User o1, User o2)-> o1.getName().compareTo(o2.getName()))).collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,(e1, e2) -> e2, LinkedHashMap::new));



class User
 {
    String name;
    int id;
        

public User(String name, int id) {
    super();
    this.name = name;
    this.id = id;
}
public String getName() {
    return name;
}
public void setName(String name) {
    this.name = name;
}
public int getId() {
    return id;
}
public void setId(int id) {
    this.id = id;
}
@Override
public String toString() {
    return "User [name=" + name + ", id=" + id + "]";
}
@Override
public int hashCode() {
    final int prime = 31;
    int result = 1;
    result = prime * result + id;
    result = prime * result + ((name == null) ? 0 : name.hashCode());
    return result;
}
@Override
public boolean equals(Object obj) {
    if (this == obj)
        return true;
    if (obj == null)
        return false;
    if (getClass() != obj.getClass())
        return false;
    User other = (User) obj;
    if (id != other.id)
        return false;
    if (name == null) {
        if (other.name != null)
            return false;
    } else if (!name.equals(other.name))
        return false;
    return true;


    }
 }

对于Java 8，您可以使用streams api以一种明显不那么冗长的方式来实现：

Map<K, V> sortedMap = map.entrySet().stream()
                         .sorted(Entry.comparingByValue())
                         .collect(Collectors.toMap(Entry::getKey, Entry::getValue, (e1, e2) -> e1, LinkedHashMap::new));

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
}

当然，Stephen的解决方案真的很棒，但对于那些不会使用Guava的人来说：

这是我的解决方案，用于按值对地图进行排序。此解决方案处理两倍相同值等情况。。。

// If you want to sort a map by value, and if there can be twice the same value:

// here is your original map
Map<String,Integer> mapToSortByValue = new HashMap<String, Integer>();
mapToSortByValue.put("A", 3);
mapToSortByValue.put("B", 1);
mapToSortByValue.put("C", 3);
mapToSortByValue.put("D", 5);
mapToSortByValue.put("E", -1);
mapToSortByValue.put("F", 1000);
mapToSortByValue.put("G", 79);
mapToSortByValue.put("H", 15);

// Sort all the map entries by value
Set<Map.Entry<String,Integer>> set = new TreeSet<Map.Entry<String,Integer>>(
        new Comparator<Map.Entry<String,Integer>>(){
            @Override
            public int compare(Map.Entry<String,Integer> obj1, Map.Entry<String,Integer> obj2) {
                Integer val1 = obj1.getValue();
                Integer val2 = obj2.getValue();
                // DUPLICATE VALUE CASE
                // If the values are equals, we can't return 0 because the 2 entries would be considered
                // as equals and one of them would be deleted (because we use a set, no duplicate, remember!)
                int compareValues = val1.compareTo(val2);
                if ( compareValues == 0 ) {
                    String key1 = obj1.getKey();
                    String key2 = obj2.getKey();
                    int compareKeys = key1.compareTo(key2);
                    if ( compareKeys == 0 ) {
                        // what you return here will tell us if you keep REAL KEY-VALUE duplicates in your set
                        // if you want to, do whatever you want but do not return 0 (but don't break the comparator contract!)
                        return 0;
                    }
                    return compareKeys;
                }
                return compareValues;
            }
        }
);
set.addAll(mapToSortByValue.entrySet());


// OK NOW OUR SET IS SORTED COOL!!!!

// And there's nothing more to do: the entries are sorted by value!
for ( Map.Entry<String,Integer> entry : set ) {
    System.out.println("Set entries: " + entry.getKey() + " -> " + entry.getValue());
}




// But if you add them to an hashmap
Map<String,Integer> myMap = new HashMap<String,Integer>();
// When iterating over the set the order is still good in the println...
for ( Map.Entry<String,Integer> entry : set ) {
    System.out.println("Added to result map entries: " + entry.getKey() + " " + entry.getValue());
    myMap.put(entry.getKey(), entry.getValue());
}

// But once they are in the hashmap, the order is not kept!
for ( Integer value : myMap.values() ) {
    System.out.println("Result map values: " + value);
}
// Also this way doesn't work:
// Logic because the entryset is a hashset for hashmaps and not a treeset
// (and even if it was a treeset, it would be on the keys only)
for ( Map.Entry<String,Integer> entry : myMap.entrySet() ) {
    System.out.println("Result map entries: " + entry.getKey() + " -> " + entry.getValue());
}


// CONCLUSION:
// If you want to iterate on a map ordered by value, you need to remember:
// 1) Maps are only sorted by keys, so you can't sort them directly by value
// 2) So you simply CAN'T return a map to a sortMapByValue function
// 3) You can't reverse the keys and the values because you have duplicate values
//    This also means you can't neither use Guava/Commons bidirectionnal treemaps or stuff like that

// SOLUTIONS
// So you can:
// 1) only sort the values which is easy, but you loose the key/value link (since you have duplicate values)
// 2) sort the map entries, but don't forget to handle the duplicate value case (like i did)
// 3) if you really need to return a map, use a LinkedHashMap which keep the insertion order

执行官：http://www.ideone.com/dq3Lu

输出：

Set entries: E -> -1
Set entries: B -> 1
Set entries: A -> 3
Set entries: C -> 3
Set entries: D -> 5
Set entries: H -> 15
Set entries: G -> 79
Set entries: F -> 1000
Added to result map entries: E -1
Added to result map entries: B 1
Added to result map entries: A 3
Added to result map entries: C 3
Added to result map entries: D 5
Added to result map entries: H 15
Added to result map entries: G 79
Added to result map entries: F 1000
Result map values: 5
Result map values: -1
Result map values: 1000
Result map values: 79
Result map values: 3
Result map values: 1
Result map values: 3
Result map values: 15
Result map entries: D -> 5
Result map entries: E -> -1
Result map entries: F -> 1000
Result map entries: G -> 79
Result map entries: A -> 3
Result map entries: B -> 1
Result map entries: C -> 3
Result map entries: H -> 15

希望它能帮助一些人

如果倾向于使用一个Map数据结构，该结构可以按值进行固有排序，而不必触发任何排序方法或显式传递给实用程序，则以下解决方案可能适用：

（1） org.rools.chance.core.util.ValueSortedMap（JBoss项目）在内部维护两个映射，一个用于查找，另一个用于维护排序值。与之前添加的答案非常相似，但可能是抽象和封装部分（包括复制机制）使其更安全地从外部使用。

(2) http://techblog.molindo.at/2008/11/java-map-sorted-by-value.html避免维护两个映射，而是依赖/扩展Apache Common的LinkedMap。（博客作者注：这里的所有代码都在公共领域）：

// required to access LinkEntry.before and LinkEntry.after
package org.apache.commons.collections.map;

// SNIP: imports

/**
* map implementation based on LinkedMap that maintains a sorted list of
* values for iteration
*/
public class ValueSortedHashMap extends LinkedMap {
    private final boolean _asc;

    // don't use super()!
    public ValueSortedHashMap(final boolean asc) {
        super(DEFAULT_CAPACITY);
        _asc = asc;
    }

    // SNIP: some more constructors with initial capacity and the like

    protected void addEntry(final HashEntry entry, final int hashIndex) {
        final LinkEntry link = (LinkEntry) entry;
        insertSorted(link);
        data[hashIndex] = entry;
    }

    protected void updateEntry(final HashEntry entry, final Object newValue) {
        entry.setValue(newValue);
        final LinkEntry link = (LinkEntry) entry;
        link.before.after = link.after;
        link.after.before = link.before;
        link.after = link.before = null;
        insertSorted(link);
    }

    private void insertSorted(final LinkEntry link) {
        LinkEntry cur = header;
        // iterate whole list, could (should?) be replaced with quicksearch
        // start at end to optimize speed for in-order insertions
        while ((cur = cur.before) != header & amp; & amp; !insertAfter(cur, link)) {}
        link.after = cur.after;
        link.before = cur;
        cur.after.before = link;
        cur.after = link;
    }

    protected boolean insertAfter(final LinkEntry cur, final LinkEntry link) {
        if (_asc) {
            return ((Comparable) cur.getValue())
            .compareTo((V) link.getValue()) & lt; = 0;
        } else {
            return ((Comparable) cur.getValue())
            .compareTo((V) link.getValue()) & gt; = 0;
        }
    }

    public boolean isAscending() {
        return _asc;
    }
}

（3） 编写一个自定义映射或从LinkedHashMap扩展，该映射仅在枚举期间根据需要进行排序（例如，values（）、keyset（）、entryset（））。内部实现/行为是从使用该类的实现/行为中抽象出来的，但在该类的客户端看来，当请求枚举时，值总是被排序的。如果所有的put操作都在枚举之前完成，这个类希望排序只发生一次。排序方法采用了前面对这个问题的一些回答。

public class SortByValueMap<K, V> implements Map<K, V> {

    private boolean isSortingNeeded = false;

    private final Map<K, V> map = new LinkedHashMap<>();

    @Override
    public V put(K key, V value) {
        isSortingNeeded = true;
        return map.put(key, value);
    }

    @Override
    public void putAll(Map<? extends K, ? extends V> map) {
        isSortingNeeded = true;
        map.putAll(map);
    }

    @Override
    public Set<K> keySet() {
        sort();
        return map.keySet();
    }

    @Override
    public Set<Entry<K, V>> entrySet() {
        sort();
        return map.entrySet();
    }

    @Override
    public Collection<V> values() {
        sort();
        return map.values();
    }

    private void sort() {
        if (!isSortingNeeded) {
            return;
        }

        List<Entry<K, V>> list = new ArrayList<>(size());

        for (Iterator<Map.Entry<K, V>> it = map.entrySet().iterator(); it.hasNext();) {
            Map.Entry<K, V> entry = it.next();
            list.add(entry);
            it.remove();
        }

        Collections.sort(list);

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

        isSortingNeeded = false;
    }

    @Override
    public String toString() {
        sort();
        return map.toString();
    }
}

（4） Guava提供了ImmutableMap.Builder.orderEntriesByValue（Comparator valueComparator），尽管生成的映射是不可变的：

将此生成器配置为根据指定的比较器。排序顺序是稳定的，也就是说，如果两个条目的值作为等价项进行比较，首先插入的条目将是第一个按照构建映射的迭代顺序。

对键进行排序需要Comparator为每个比较查找每个值。一个更具可扩展性的解决方案将直接使用entrySet，因为这样每次比较都会立即获得该值（尽管我没有用数字来支持）。

这是这样一件事的通用版本：

public static <K, V extends Comparable<? super V>> List<K> getKeysSortedByValue(Map<K, V> map) {
    final int size = map.size();
    final List<Map.Entry<K, V>> list = new ArrayList<Map.Entry<K, V>>(size);
    list.addAll(map.entrySet());
    final ValueComparator<V> cmp = new ValueComparator<V>();
    Collections.sort(list, cmp);
    final List<K> keys = new ArrayList<K>(size);
    for (int i = 0; i < size; i++) {
        keys.set(i, list.get(i).getKey());
    }
    return keys;
}

private static final class ValueComparator<V extends Comparable<? super V>>
                                     implements Comparator<Map.Entry<?, V>> {
    public int compare(Map.Entry<?, V> o1, Map.Entry<?, V> o2) {
        return o1.getValue().compareTo(o2.getValue());
    }
}

有一些方法可以减少上述解决方案的内存旋转。例如，创建的第一个ArrayList可以重新用作返回值；这将需要抑制一些泛型警告，但对于可重用的库代码来说，这可能是值得的。此外，Comparator不必在每次调用时重新分配。

这里有一个更有效但不太吸引人的版本：

public static <K, V extends Comparable<? super V>> List<K> getKeysSortedByValue2(Map<K, V> map) {
    final int size = map.size();
    final List reusedList = new ArrayList(size);
    final List<Map.Entry<K, V>> meView = reusedList;
    meView.addAll(map.entrySet());
    Collections.sort(meView, SINGLE);
    final List<K> keyView = reusedList;
    for (int i = 0; i < size; i++) {
        keyView.set(i, meView.get(i).getKey());
    }
    return keyView;
}

private static final Comparator SINGLE = new ValueComparator();

最后，如果您需要连续访问已排序的信息（而不是偶尔排序一次），可以使用额外的多重映射。如果你需要更多细节，请告诉我。。。