Java 8 流 API - Java 9 Collectors.flatMapping 在 Java 8 中重写
Java 8 Stream API - Java 9 Collectors.flatMapping rewritten in Java 8
自 java-9 called Collectors.flatMapping
that takes place as a downstream of grouping or partitioning. Such as (example taken from here 以来,我接触到了一项新功能:
List<List<Integer>> list = Arrays.asList(
Arrays.asList(1, 2, 3, 4, 5, 6),
Arrays.asList(7, 8, 9, 10));
Map<Integer, List<Integer>> map =list.stream()
.collect(Collectors.groupingBy(
Collection::size,
Collectors.flatMapping(
l -> l.stream().filter(i -> i % 2 == 0),
Collectors.toList())));
{4=[8, 10], 6=[2, 4, 6]}
这是一种相当优雅的方式,仅使用 3 个收集器。我需要在尚不支持的 java-8 中重写收集器。我尝试使用 6 收集器,这是一个非常广泛的用途,我无法找到一种使用更少的收集器的方法:
Map<Integer, List<Integer>> map = list.stream()
.collect(Collectors.groupingBy(
Collection::size,
Collectors.collectingAndThen(
Collectors.mapping(
l -> l.stream().filter(i -> i % 2 == 0).collect(Collectors.toList()),
Collectors.toList()),
i -> i.stream().flatMap(j -> j.stream()).collect(Collectors.toList()))));
有没有更短更好的方法,只使用java-8?
对于这个特殊情况,我想这会是一个更简单的版本:
Map<Integer, List<Integer>> map =
list.stream()
.collect(Collectors.toMap(
Collection::size,
x -> x.stream().filter(y -> y % 2 == 0).collect(Collectors.toList())
));
如果涉及合并(两个大小相同的集合),我会添加一个非常简单的 merge
函数:
Map<Integer, List<Integer>> map =
list.stream()
.collect(Collectors.toMap(
Collection::size,
x -> x.stream().filter(y -> y % 2 == 0).collect(Collectors.toCollection(ArrayList::new)),
(left, right) -> {
left.addAll(right);
return left;
}
));
否则,我同意 Michael 的评论,这并不难移植到 java-8。
我只想向后移植 flatMapping
。它只需要 2 个方法和 1 个 class,没有其他依赖项。
此外,当需要升级到 Java 9 时,您可以弃用您的版本并将其任何用法替换为正确的版本。
The following code is taken from the JDK。不是我写的。我已经用您的示例对其进行了测试,结果 returns 相同。
class Nikollectors
{
public static <T, U, A, R> Collector<T, ?, R> flatMapping(Function<? super T, ? extends Stream<? extends U>> mapper, Collector<? super U, A, R> downstream) {
BiConsumer<A, ? super U> downstreamAccumulator = downstream.accumulator();
return new CollectorImpl<>(downstream.supplier(),
(r, t) -> {
try (Stream<? extends U> result = mapper.apply(t)) {
if (result != null)
result.sequential().forEach(u -> downstreamAccumulator.accept(r, u));
}
},
downstream.combiner(), downstream.finisher(),
downstream.characteristics());
}
private static class CollectorImpl<T, A, R> implements Collector<T, A, R>
{
private final Supplier<A> supplier;
private final BiConsumer<A, T> accumulator;
private final BinaryOperator<A> combiner;
private final Function<A, R> finisher;
private final Set<Characteristics> characteristics;
CollectorImpl(Supplier<A> supplier,
BiConsumer<A, T> accumulator,
BinaryOperator<A> combiner,
Function<A,R> finisher,
Set<Characteristics> characteristics) {
this.supplier = supplier;
this.accumulator = accumulator;
this.combiner = combiner;
this.finisher = finisher;
this.characteristics = characteristics;
}
CollectorImpl(Supplier<A> supplier,
BiConsumer<A, T> accumulator,
BinaryOperator<A> combiner,
Set<Characteristics> characteristics) {
this(supplier, accumulator, combiner, castingIdentity(), characteristics);
}
@Override
public BiConsumer<A, T> accumulator() {
return accumulator;
}
@Override
public Supplier<A> supplier() {
return supplier;
}
@Override
public BinaryOperator<A> combiner() {
return combiner;
}
@Override
public Function<A, R> finisher() {
return finisher;
}
@Override
public Set<Characteristics> characteristics() {
return characteristics;
}
}
private static <I, R> Function<I, R> castingIdentity() {
return i -> (R) i;
}
}
示例用法:
Map<Integer, List<Integer>> map =list.stream()
.collect(Collectors.groupingBy(
Collection::size,
Nikollectors.flatMapping( // <<<
l -> l.stream().filter(i -> i % 2 == 0),
Collectors.toList()
)
)
);
自 java-9 called Collectors.flatMapping
that takes place as a downstream of grouping or partitioning. Such as (example taken from here 以来,我接触到了一项新功能:
List<List<Integer>> list = Arrays.asList(
Arrays.asList(1, 2, 3, 4, 5, 6),
Arrays.asList(7, 8, 9, 10));
Map<Integer, List<Integer>> map =list.stream()
.collect(Collectors.groupingBy(
Collection::size,
Collectors.flatMapping(
l -> l.stream().filter(i -> i % 2 == 0),
Collectors.toList())));
{4=[8, 10], 6=[2, 4, 6]}
这是一种相当优雅的方式,仅使用 3 个收集器。我需要在尚不支持的 java-8 中重写收集器。我尝试使用 6 收集器,这是一个非常广泛的用途,我无法找到一种使用更少的收集器的方法:
Map<Integer, List<Integer>> map = list.stream()
.collect(Collectors.groupingBy(
Collection::size,
Collectors.collectingAndThen(
Collectors.mapping(
l -> l.stream().filter(i -> i % 2 == 0).collect(Collectors.toList()),
Collectors.toList()),
i -> i.stream().flatMap(j -> j.stream()).collect(Collectors.toList()))));
有没有更短更好的方法,只使用java-8?
对于这个特殊情况,我想这会是一个更简单的版本:
Map<Integer, List<Integer>> map =
list.stream()
.collect(Collectors.toMap(
Collection::size,
x -> x.stream().filter(y -> y % 2 == 0).collect(Collectors.toList())
));
如果涉及合并(两个大小相同的集合),我会添加一个非常简单的 merge
函数:
Map<Integer, List<Integer>> map =
list.stream()
.collect(Collectors.toMap(
Collection::size,
x -> x.stream().filter(y -> y % 2 == 0).collect(Collectors.toCollection(ArrayList::new)),
(left, right) -> {
left.addAll(right);
return left;
}
));
否则,我同意 Michael 的评论,这并不难移植到 java-8。
我只想向后移植 flatMapping
。它只需要 2 个方法和 1 个 class,没有其他依赖项。
此外,当需要升级到 Java 9 时,您可以弃用您的版本并将其任何用法替换为正确的版本。
The following code is taken from the JDK。不是我写的。我已经用您的示例对其进行了测试,结果 returns 相同。
class Nikollectors
{
public static <T, U, A, R> Collector<T, ?, R> flatMapping(Function<? super T, ? extends Stream<? extends U>> mapper, Collector<? super U, A, R> downstream) {
BiConsumer<A, ? super U> downstreamAccumulator = downstream.accumulator();
return new CollectorImpl<>(downstream.supplier(),
(r, t) -> {
try (Stream<? extends U> result = mapper.apply(t)) {
if (result != null)
result.sequential().forEach(u -> downstreamAccumulator.accept(r, u));
}
},
downstream.combiner(), downstream.finisher(),
downstream.characteristics());
}
private static class CollectorImpl<T, A, R> implements Collector<T, A, R>
{
private final Supplier<A> supplier;
private final BiConsumer<A, T> accumulator;
private final BinaryOperator<A> combiner;
private final Function<A, R> finisher;
private final Set<Characteristics> characteristics;
CollectorImpl(Supplier<A> supplier,
BiConsumer<A, T> accumulator,
BinaryOperator<A> combiner,
Function<A,R> finisher,
Set<Characteristics> characteristics) {
this.supplier = supplier;
this.accumulator = accumulator;
this.combiner = combiner;
this.finisher = finisher;
this.characteristics = characteristics;
}
CollectorImpl(Supplier<A> supplier,
BiConsumer<A, T> accumulator,
BinaryOperator<A> combiner,
Set<Characteristics> characteristics) {
this(supplier, accumulator, combiner, castingIdentity(), characteristics);
}
@Override
public BiConsumer<A, T> accumulator() {
return accumulator;
}
@Override
public Supplier<A> supplier() {
return supplier;
}
@Override
public BinaryOperator<A> combiner() {
return combiner;
}
@Override
public Function<A, R> finisher() {
return finisher;
}
@Override
public Set<Characteristics> characteristics() {
return characteristics;
}
}
private static <I, R> Function<I, R> castingIdentity() {
return i -> (R) i;
}
}
示例用法:
Map<Integer, List<Integer>> map =list.stream()
.collect(Collectors.groupingBy(
Collection::size,
Nikollectors.flatMapping( // <<<
l -> l.stream().filter(i -> i % 2 == 0),
Collectors.toList()
)
)
);