我对Java比较陌生，经常发现需要对值进行Map<Key，Value>排序。
由于这些值不是唯一的，我发现自己将keySet转换为一个数组，并使用自定义比较器通过数组排序对该数组进行排序，该比较器根据与该键关联的值进行排序。
有没有更简单的方法？
当前回答
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
其他回答
从…起http://www.programmersheaven.com/download/49349/download.aspx
private static <K, V> Map<K, V> sortByValue(Map<K, V> map) {
List<Entry<K, V>> list = new LinkedList<>(map.entrySet());
Collections.sort(list, new Comparator<Object>() {
@SuppressWarnings("unchecked")
public int compare(Object o1, Object o2) {
return ((Comparable<V>) ((Map.Entry<K, V>) (o1)).getValue()).compareTo(((Map.Entry<K, V>) (o2)).getValue());
}
});
Map<K, V> result = new LinkedHashMap<>();
for (Iterator<Entry<K, V>> it = list.iterator(); it.hasNext();) {
Map.Entry<K, V> entry = (Map.Entry<K, V>) it.next();
result.put(entry.getKey(), entry.getValue());
}
return result;
}
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
}
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;
}
}
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
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());
}
}
