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

Java 8提供了一个新的答案:将条目转换为流,并使用Map中的比较器组合符。条目:

Stream<Map.Entry<K,V>> sorted =
    map.entrySet().stream()
       .sorted(Map.Entry.comparingByValue());

这将允许您使用按值升序排序的条目。如果您想要递减值,只需反转比较器:

Stream<Map.Entry<K,V>> sorted =
    map.entrySet().stream()
       .sorted(Collections.reverseOrder(Map.Entry.comparingByValue()));

如果这些值不可比较,则可以传递显式比较器:

Stream<Map.Entry<K,V>> sorted =
    map.entrySet().stream()
       .sorted(Map.Entry.comparingByValue(comparator));

然后,您可以继续使用其他流操作来使用数据。例如,如果要在新地图中显示前10名:

Map<K,V> topTen =
    map.entrySet().stream()
       .sorted(Map.Entry.comparingByValue(Comparator.reverseOrder()))
       .limit(10)
       .collect(Collectors.toMap(
          Map.Entry::getKey, Map.Entry::getValue, (e1, e2) -> e1, LinkedHashMap::new));

上面看到的LinkedHashMap按插入顺序迭代条目。

或打印到System.out:

map.entrySet().stream()
   .sorted(Map.Entry.comparingByValue())
   .forEach(System.out::println);

其他回答

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));

当你有两个相等的项目时,投票给最多的答案不起作用。TreeMap保留相等的值。

示例:未排序地图

key/value: D/67.3
key/value: A/99.5
key/value: B/67.4
key/value: C/67.5
key/value: E/99.5

后果

key/value: A/99.5
key/value: C/67.5
key/value: B/67.4
key/value: D/67.3

所以省略了E!!

对我来说,它可以很好地调整比较器,如果它等于,则不返回0,而是返回-1。

在示例中:

类ValueComparator实现Comparator{地图库;公共ValueComparator(地图库){this.base=基数;}public int compare(对象a,对象b){如果((双)base.get(a)<(双)base.get(b)){返回1;}否则如果((双)base.get(a)==(双)base.get(b)){返回-1;}其他{返回-1;}}}

现在它返回:

未排序地图:

key/value: D/67.3
key/value: A/99.5
key/value: B/67.4
key/value: C/67.5
key/value: E/99.5

结果:

key/value: A/99.5
key/value: E/99.5
key/value: C/67.5
key/value: B/67.4
key/value: D/67.3

作为对《外国人》的回应(2011年11月22日):我将此解决方案用于整数Id和名称的映射,但想法是相同的,因此上面的代码可能不正确(我将在测试中编写并给您正确的代码),这是基于上面解决方案的map排序代码:

package nl.iamit.util;

import java.util.Comparator;
import java.util.Map;

public class Comparators {


    public static class MapIntegerStringComparator implements Comparator {

        Map<Integer, String> base;

        public MapIntegerStringComparator(Map<Integer, String> base) {
            this.base = base;
        }

        public int compare(Object a, Object b) {

            int compare = ((String) base.get(a))
                    .compareTo((String) base.get(b));
            if (compare == 0) {
                return -1;
            }
            return compare;
        }
    }


}

这是测试类(我刚刚测试了它,这适用于Integer,StringMap:

package test.nl.iamit.util;

import java.util.HashMap;
import java.util.TreeMap;
import nl.iamit.util.Comparators;
import org.junit.Test;
import static org.junit.Assert.assertArrayEquals;

public class TestComparators {


    @Test
    public void testMapIntegerStringComparator(){
        HashMap<Integer, String> unSoretedMap = new HashMap<Integer, String>();
        Comparators.MapIntegerStringComparator bvc = new Comparators.MapIntegerStringComparator(
                unSoretedMap);
        TreeMap<Integer, String> sorted_map = new TreeMap<Integer, String>(bvc);
        //the testdata:
        unSoretedMap.put(new Integer(1), "E");
        unSoretedMap.put(new Integer(2), "A");
        unSoretedMap.put(new Integer(3), "E");
        unSoretedMap.put(new Integer(4), "B");
        unSoretedMap.put(new Integer(5), "F");

        sorted_map.putAll(unSoretedMap);

        Object[] targetKeys={new Integer(2),new Integer(4),new Integer(3),new Integer(1),new Integer(5) };
        Object[] currecntKeys=sorted_map.keySet().toArray();

        assertArrayEquals(targetKeys,currecntKeys);
    }
}

以下是地图比较器的代码:

public static class MapStringDoubleComparator implements Comparator {

    Map<String, Double> base;

    public MapStringDoubleComparator(Map<String, Double> base) {
        this.base = base;
    }

    //note if you want decending in stead of ascending, turn around 1 and -1
    public int compare(Object a, Object b) {
        if ((Double) base.get(a) == (Double) base.get(b)) {
            return 0;
        } else if((Double) base.get(a) < (Double) base.get(b)) {
            return -1;
        }else{
            return 1;
        }
    }
}

这是一个测试用例:

@Test
public void testMapStringDoubleComparator(){
    HashMap<String, Double> unSoretedMap = new HashMap<String, Double>();
    Comparators.MapStringDoubleComparator bvc = new Comparators.MapStringDoubleComparator(
            unSoretedMap);
    TreeMap<String, Double> sorted_map = new TreeMap<String, Double>(bvc);
    //the testdata:
    unSoretedMap.put("D",new Double(67.3));
    unSoretedMap.put("A",new Double(99.5));
    unSoretedMap.put("B",new Double(67.4));
    unSoretedMap.put("C",new Double(67.5));
    unSoretedMap.put("E",new Double(99.5));

    sorted_map.putAll(unSoretedMap);

    Object[] targetKeys={"D","B","C","E","A"};
    Object[] currecntKeys=sorted_map.keySet().toArray();

    assertArrayEquals(targetKeys,currecntKeys);
}

当然,你可以让它更通用,但我只需要一个案例(地图)

因为地图是无序的要对其进行排序,我们可以执行以下操作

Map<String, String> map= new TreeMap<String, String>(unsortMap);

您应该注意,与哈希映射不同,树映射保证其元素将按升序键排序。

创建自定义比较器,并在创建新的TreeMap对象时使用它。

class MyComparator implements Comparator<Object> {

    Map<String, Integer> map;

    public MyComparator(Map<String, Integer> map) {
        this.map = map;
    }

    public int compare(Object o1, Object o2) {

        if (map.get(o2) == map.get(o1))
            return 1;
        else
            return ((Integer) map.get(o2)).compareTo((Integer)     
                                                            map.get(o1));

    }
}

在主函数中使用以下代码

    Map<String, Integer> lMap = new HashMap<String, Integer>();
    lMap.put("A", 35);
    lMap.put("B", 75);
    lMap.put("C", 50);
    lMap.put("D", 50);

    MyComparator comparator = new MyComparator(lMap);

    Map<String, Integer> newMap = new TreeMap<String, Integer>(comparator);
    newMap.putAll(lMap);
    System.out.println(newMap);

输出:

{B=75, D=50, C=50, A=35}

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