如果最终的映射不需要可变性，可以使用Guava的ImmutableMap及其Builder和putAll方法，与Java的map接口方法相反，ImmutableMap可以被链接。

使用示例:

Map<String, Integer> mergeMyTwoMaps(Map<String, Integer> map1, Map<String, Integer> map2) {
  return ImmutableMap.<String, Integer>builder()
      .putAll(map1)
      .putAll(map2)
      .build();
}

当然，这个方法可以更通用，使用可变参数和循环从参数中putAll map等，但我想展示一个概念。

此外，ImmutableMap和它的构建器有一些限制(或者可能是功能?):

他们是空敌对(抛出NullPointerException -如果map中的任何键或值为空) 生成器不接受重复的键(如果添加了重复的键则抛出IllegalArgumentException)。

一个小片段，我经常使用从其他地图创建地图:

static public <K, V> Map<K, V> merge(Map<K, V>... args) {
    final Map<K, V> buffer = new HashMap<>();

    for (Map m : args) {
        buffer.putAll(m);
    }

    return buffer;
}

组合两个可能共享公共键的映射的通用解决方案:

就地:

public static <K, V> void mergeInPlace(Map<K, V> map1, Map<K, V> map2,
        BinaryOperator<V> combiner) {
    map2.forEach((k, v) -> map1.merge(k, v, combiner::apply));
}

返回一个新地图:

public static <K, V> Map<K, V> merge(Map<K, V> map1, Map<K, V> map2,
        BinaryOperator<V> combiner) {
    Map<K, V> map3 = new HashMap<>(map1);
    map2.forEach((k, v) -> map3.merge(k, v, combiner::apply));
    return map3;
}

你可以对其他类型使用Collection.addAll()，例如List, Set等。对于Map，您可以使用putAll。

使用Java 8 Stream API的一行程序:

map3 = Stream.of(map1, map2).flatMap(m -> m.entrySet().stream())
       .collect(Collectors.toMap(Entry::getKey, Entry::getValue))

该方法的好处之一是能够传递一个merge函数，该函数将处理具有相同键的值，例如:

map3 = Stream.of(map1, map2).flatMap(m -> m.entrySet().stream())
       .collect(Collectors.toMap(Entry::getKey, Entry::getValue, Math::max))

方法1:将映射放在List中，然后连接

public class Test15 {
public static void main(String[] args) {

    Map<String, List<String>> map1 = new HashMap<>();
    map1.put("London", Arrays.asList("A", "B", "C"));
    map1.put("Wales", Arrays.asList("P1", "P2", "P3"));

    Map<String, List<String>> map2 = new HashMap<>();
    map2.put("Calcutta", Arrays.asList("Protijayi", "Gina", "Gini"));
    map2.put("London", Arrays.asList( "P4", "P5", "P6"));
    map2.put("Wales", Arrays.asList( "P111", "P5555", "P677666"));
    
    System.out.println(map1);System.out.println(map2);
    
    
    
    // put the maps in an ArrayList
    
    List<Map<String, List<String>>> maplist = new ArrayList<Map<String,List<String>>>();
    maplist.add(map1);
    maplist.add(map2);
    /*
<T,K,U> Collector<T,?,Map<K,U>> toMap(

                                  Function<? super T,? extends K> keyMapper,

                                  Function<? super T,? extends U> valueMapper,

                                  BinaryOperator<U> mergeFunction)
    */
    
 Map<String, List<String>> collect = maplist.stream()
    .flatMap(ch -> ch.entrySet().stream())
    .collect(
            Collectors.toMap(
            
            //keyMapper,
            
            Entry::getKey,
            
            //valueMapper
            Entry::getValue,
            
            // mergeFunction
     (list_a,list_b) -> Stream.concat(list_a.stream(), list_b.stream()).collect(Collectors.toList())
            
            ));
    
    
    
    System.out.println("Final Result(Map after join) => " + collect);
    /*
    {Wales=[P1, P2, P3], London=[A, B, C]}
{Calcutta=[Protijayi, Gina, Gini], Wales=[P111, P5555, P677666], London=[P4, P5, P6]}
Final Result(Map after join) => {Calcutta=[Protijayi, Gina, Gini], Wales=[P1, P2, P3, P111, P5555, P677666], London=[A, B, C, P4, P5, P6]}
*/
    
}//main


}

方法二:法线映射合并

public class Test15 {
public static void main(String[] args) {

    Map<String, List<String>> map1 = new HashMap<>();
    map1.put("London", Arrays.asList("A", "B", "C"));
    map1.put("Wales", Arrays.asList("P1", "P2", "P3"));

    Map<String, List<String>> map2 = new HashMap<>();
    map2.put("Calcutta", Arrays.asList("Protijayi", "Gina", "Gini"));
    map2.put("London", Arrays.asList( "P4", "P5", "P6"));
    map2.put("Wales", Arrays.asList( "P111", "P5555", "P677666"));
    
    System.out.println(map1);System.out.println(map2);
    
    
    

    /*
<T,K,U> Collector<T,?,Map<K,U>> toMap(

                                  Function<? super T,? extends K> keyMapper,

                                  Function<? super T,? extends U> valueMapper,

                                  BinaryOperator<U> mergeFunction)
    */
    
    
Map<String, List<String>> collect = Stream.of(map1,map2)
    .flatMap(ch -> ch.entrySet().stream())
    .collect(
            Collectors.toMap(
            
            //keyMapper,
            
            Entry::getKey,
            
            //valueMapper
            Entry::getValue,
            
            // mergeFunction
     (list_a,list_b) -> Stream.concat(list_a.stream(), list_b.stream()).collect(Collectors.toList())
            
            ));
    
    
    
    System.out.println("Final Result(Map after join) => " + collect);
    /*
    {Wales=[P1, P2, P3], London=[A, B, C]}
{Calcutta=[Protijayi, Gina, Gini], Wales=[P111, P5555, P677666], London=[P4, P5, P6]}
Final Result(Map after join) => {Calcutta=[Protijayi, Gina, Gini], Wales=[P1, P2, P3, P111, P5555, P677666], London=[A, B, C, P4, P5, P6]}

*/
    
}//main


}
    

在Python中，HashMap被称为字典，我们可以很容易地合并它们。

x = {'Roopa': 1, 'Tabu': 2}
y = {'Roopi': 3, 'Soudipta': 4}


z = {**x,**y}
print(z)

{'Roopa': 1, 'Tabu': 2, 'Roopi': 3, 'Soudipta': 4}