我想确定“行”中或更“行”中“列”的取值:构建诸如List>行之类的地图列表的总和
是否可以对每个不同的列的所有值求和?该函数应返回一个Map,该列的键为键,所有值的总和为value。
summMap.get("columname")
假设我有以下地图列表:
List<Map<String, Long>> mapList = new ArrayList();
Map<String, Object> map1 = new HashMap<>();
Map<String, Object> map2 = new HashMap<>();
Map<String, Object> map3 = new HashMap<>();
map1.put("col1", 90);
map1.put("col2", 50);
map1.put("col3", 10);
map2.put("col1", 90);
map2.put("col2", 50);
map2.put("col3", 10);
map3.put("col1", 90);
map3.put("col2", 50);
map3.put("col3", 10);
mapList.add(map1);
mapList.add(map2);
mapList.add(map3);
Map<String, Long> sum = mapList.stream().distinct().sum() // Example
// result i'm awaiting/expecting
Long sumVal1 = sum.get("col1"); // 270
Long sumVal2 = sum.get("col2"); // 150
Long sumVal3 = sum.get("col3"); // 30
长sumVal = sum.get(“ col1”);
答案 0 :(得分:3)
就这么简单
Map<String, Long> sum = mapList.stream()
.flatMap(m -> m.entrySet().stream())
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue, Long::sum));
答案 1 :(得分:2)
Holger已经提供了一个干净解决方案,但我认为您也可以尝试使用flatMap
和groupingBy
作为
Map<String, Long> sum = mapList.stream().flatMap(map -> map.entrySet().stream())
.collect(groupingBy(Map.Entry::getKey, summingLong(Map.Entry::getValue)));
您问题的整个解决方案:
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import static java.util.stream.Collectors.*;
public class ListMapSum {
public static void main(String... args) {
List<Map<String, Long>> mapList = new ArrayList();
Map<String, Long> map1 = new HashMap<>();
Map<String, Long> map2 = new HashMap<>();
Map<String, Long> map3 = new HashMap<>();
map1.put("col1", 90L);
map1.put("col2", 50L);
map1.put("col3", 10L);
map2.put("col1", 90L);
map2.put("col2", 50L);
map2.put("col3", 10L);
map3.put("col1", 90L);
map3.put("col2", 50L);
map3.put("col3", 10L);
mapList.add(map1);
mapList.add(map2);
mapList.add(map3);
Map<String, Long> sum = mapList.stream().flatMap(map -> map.entrySet().stream())
.collect(groupingBy(Map.Entry::getKey, summingLong(Map.Entry::getValue)));
Long sumVal1 = sum.get("col1"); // 270
Long sumVal2 = sum.get("col2"); // 150
Long sumVal3 = sum.get("col3"); // 30
}
}
答案 2 :(得分:1)
这不支持并行执行,但是可以通过修改reduce
中的最后一个参数来实现:
private static Map<String, Long> reduceLongs(List<Map<String, Long>> maps) {
return maps.stream()
.flatMap(map -> map.entrySet().stream())
.reduce(new HashMap<>(), (map, e) -> {
map.compute(e.getKey(), (k ,v) -> v == null ? e.getValue() : e.getValue() + v);
return map;
}, (m1, m2) -> { throw new UnsupportedOperationException(); });
}
和通过测试:
final List<Map<String, Long>> maps = new ArrayList<>();
Map<String, Long> map1 = new HashMap<>();
Map<String, Long> map2 = new HashMap<>();
map1.put("col1", 90L);
map1.put("col2", 50L);
map2.put("col1", 90L);
map2.put("col2", 50L);
map2.put("col3", 100L);
maps.add(map1);
maps.add(map2);
final Map<String, Long> sums = reduceLongs(maps);
assertEquals(180L, sums.get("col1").longValue());
assertEquals(100L, sums.get("col2").longValue());
assertEquals(100L, sums.get("col3").longValue());
答案 3 :(得分:0)
这是简单的解决方案,它将根据您的要求给出结果:
project2