我有两个HashMap对象，定义如下:
HashMap<String, Integer> map1 = new HashMap<String, Integer>();
HashMap<String, Integer> map2 = new HashMap<String, Integer>();
我还有第三个HashMap对象:
HashMap<String, Integer> map3;
如何将map1和map2合并为map3?
当前回答
用于合并两个映射的Java 8替代一行程序:
defaultMap.forEach((k, v) -> destMap.putIfAbsent(k, v));
方法参考也一样:
defaultMap.forEach(destMap::putIfAbsent);
或原始地图解与第三个地图的幂分量:
Map<String, Integer> map3 = new HashMap<String, Integer>(map2);
map1.forEach(map3::putIfAbsent);
下面是一个用Guava将两个映射合并为快速不可变映射的方法，它可以进行最少的中间复制操作:
ImmutableMap.Builder<String, Integer> builder = ImmutableMap.<String, Integer>builder();
builder.putAll(map1);
map2.forEach((k, v) -> {if (!map1.containsKey(k)) builder.put(k, v);});
ImmutableMap<String, Integer> map3 = builder.build();
请参见使用Java 8合并两个映射，了解需要使用映射函数组合两个映射中的值的情况。
其他回答
很晚了，但让我分享一下当我遇到同样的问题时我是怎么做的。
Map<String, List<String>> map1 = new HashMap<>();
map1.put("India", Arrays.asList("Virat", "Mahi", "Rohit"));
map1.put("NZ", Arrays.asList("P1","P2","P3"));
Map<String, List<String>> map2 = new HashMap<>();
map2.put("India", Arrays.asList("Virat", "Mahi", "Rohit"));
map2.put("NZ", Arrays.asList("P1","P2","P4"));
Map<String, List<String>> collect4 = Stream.of(map1, map2)
.flatMap(map -> map.entrySet().stream())
.collect(
Collectors.toMap(
Map.Entry::getKey,
Map.Entry::getValue,
(strings, strings2) -> {
List<String> newList = new ArrayList<>();
newList.addAll(strings);
newList.addAll(strings2);
return newList;
}
)
);
collect4.forEach((s, strings) -> System.out.println(s+"->"+strings));
它给出以下输出
NZ->[P1, P2, P3, P1, P2, P4]
India->[Virat, Mahi, Rohit, Virat, Mahi, Rohit]
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}
HashMap<Integer,String> hs1 = new HashMap<>();
hs1.put(1,"ram");
hs1.put(2,"sita");
hs1.put(3,"laxman");
hs1.put(4,"hanuman");
hs1.put(5,"geeta");
HashMap<Integer,String> hs2 = new HashMap<>();
hs2.put(5,"rat");
hs2.put(6,"lion");
hs2.put(7,"tiger");
hs2.put(8,"fish");
hs2.put(9,"hen");
HashMap<Integer,String> hs3 = new HashMap<>();//Map is which we add
hs3.putAll(hs1);
hs3.putAll(hs2);
System.out.println(" hs1 : " + hs1);
System.out.println(" hs2 : " + hs2);
System.out.println(" hs3 : " + hs3);
重复的项目将不会被添加(即重复的键)，因为当我们将打印hs3时，我们将只获得键5的一个值，这将是最后一个添加的值，它将是rat。 **[设置不允许重复键，但值可以重复]
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))
假设输入如下:
import java.util.stream.Stream;
import java.util.stream.Collectors;
import java.util.Map;
...
var m1 = Map.of("k1", 1, "k2", 2);
var m2 = Map.of("k3", 3, "k4", 4);
当你确定两个输入映射之间没有任何键冲突时，一个避免任何突变并产生不可变结果的简单表达式可以是:
var merged = Stream.concat(
m1.entrySet().stream(),
m2.entrySet().stream()
).collect(Collectors.toUnmodifiableMap(Map.Entry::getKey, Map.Entry::getValue));
在可能发生键冲突的情况下，我们可以提供一个lambda来指定如何去重复它们。例如，如果我们想保留最大的值，以防两个输入中都有一个条目，我们可以:
.collect(Collectors.toUnmodifiableMap(
Map.Entry::getKey,
Map.Entry::getValue,
Math::max)) // any function (Integer, Integer) -> Integer is ok here
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