更新时间:2023-11-27 10:03:58
对于求和和求平均的具体问题,请使用 collectAndThen
与 summarizingDouble
:
For the concrete problem of summing and averaging, use collectingAndThen
along with summarizingDouble
:
Map<Integer, Data> result = persons.stream().collect(
groupingBy(Person::getGroup,
collectingAndThen(summarizingDouble(Person::getAge),
dss -> new Data((long)dss.getAverage(), (long)dss.getSum()))));
对于更通用的问题(收集关于你人员的各种事情),你可以创建一个像这个:
For the more generic problem (collect various things about your Persons), you can create a complex collector like this:
// Individual collectors are defined here
List<Collector<Person, ?, ?>> collectors = Arrays.asList(
Collectors.averagingInt(Person::getAge),
Collectors.summingInt(Person::getAge));
@SuppressWarnings("unchecked")
Collector<Person, List<Object>, List<Object>> complexCollector = Collector.of(
() -> collectors.stream().map(Collector::supplier)
.map(Supplier::get).collect(toList()),
(list, e) -> IntStream.range(0, collectors.size()).forEach(
i -> ((BiConsumer<Object, Person>) collectors.get(i).accumulator()).accept(list.get(i), e)),
(l1, l2) -> {
IntStream.range(0, collectors.size()).forEach(
i -> l1.set(i, ((BinaryOperator<Object>) collectors.get(i).combiner()).apply(l1.get(i), l2.get(i))));
return l1;
},
list -> {
IntStream.range(0, collectors.size()).forEach(
i -> list.set(i, ((Function<Object, Object>)collectors.get(i).finisher()).apply(list.get(i))));
return list;
});
Map<Integer, List<Object>> result = persons.stream().collect(
groupingBy(Person::getGroup, complexCollector));
地图值是列表,其中第一个元素是应用第一个收集器的结果,依此类推。您可以使用 Collectors.collectingAndThen(complexCollector,list - > ...)
添加自定义修整器步骤,以将此列表转换为更合适的名称。
Map values are lists where first element is the result of applying the first collector and so on. You can add a custom finisher step using Collectors.collectingAndThen(complexCollector, list -> ...)
to convert this list to something more appropriate.