这一系列文章旨在帮助大家理解 Collector
的执行流程,至于实现的是否高效、是否优雅、是否合理等暂且不论。
现在来实现一个和 java.util.stream.Collectors#groupingBy()
一样效果的 GroupByCollector
。
当然此处的实现肯定没有jdk那样灵活,效率就先不提了,至少贫道的这个实现不支持多级分组V_V。
若对 Collector
的各个流程有疑问请移驾此处:http://blog.csdn.net/hylexus/article/details/78941843
// 这个是从jdk8源码里提出来的一个 Characteristics
// 只包含一个恒等函数的Characteristics
static final Set CH_ID
= Collections.unmodifiableSet(EnumSet.of(Collector.Characteristics.IDENTITY_FINISH));
static class GroupByCollector implements Collector>, Map>> {
Function classifier;
public GroupByCollector(Function classifier) {
this.classifier = classifier;
}
@Override
public Supplier
static class GroupByCollector2 implements Collector>, Map>> {
Function classifier;
public GroupByCollector2(Function classifier) {
this.classifier = classifier;
}
@Override
public Supplier>> supplier() {
return HashMap::new;
}
@Override
public BiConsumer>, T> accumulator() {
return (map, e) -> {
K key = classifier.apply(e);
List value = Optional.ofNullable(map)
.map(m -> m.get(key)).orElse(Lists.newArrayList());
value.add(e);
map.put(key, value);
};
}
@Override
public BinaryOperator>> combiner() {
return (m1, m2) -> {
m2.forEach((k, v) -> {
List value = Optional.ofNullable(m1)
.map(m -> m.get(k)).orElse(Lists.newArrayList());
value.addAll(v);
m1.put(k, value);
});
return m1;
};
}
@Override
public Function>, Map>> finisher() {
return Function.identity();
}
@Override
public Set characteristics() {
return CH_ID;
}
}
static class User {
private Integer id;
private String name;
private Integer gender;
private Integer age;
User(Integer id, String name, Integer gender, Integer age) {
this.id = id;
this.name = name;
this.gender = gender;
this.age = age;
}
// getter,setter
}
List users = Lists.newArrayList(
new User(1, "java", 1, 25),
new User(2, "C", 1, 22),
new User(3, "scala", 0, 23),
new User(4, "C++", 0, 11),
new User(5, "Spark", 1, 25),
new User(6, "PHP", 0, 45),
new User(7, "Python", 1, 89),
new User(8, "JavaScript", 0, 110),
new User(9, "C#", 1, 33)
);
void printUserMap(Map> map) {
map.forEach((k, v) -> {
System.out.println(k);
v.forEach(e-> System.out.println("\t"+e));
});
}
@Test
public void test2() {
Map> map = users.stream()
.collect(Collectors.groupingBy(User::getGender));
printUserMap(map);
map = users.stream().
collect(new GroupByCollector<>(User::getGender));
printUserMap(map);
map = users.stream().collect(new GroupByCollector2<>(User::getGender));
printUserMap(map);
}
0
User{id=3, name='scala', gender=0, age=23}
User{id=4, name='C++', gender=0, age=11}
User{id=6, name='PHP', gender=0, age=45}
User{id=8, name='JavaScript', gender=0, age=110}
1
User{id=1, name='java', gender=1, age=25}
User{id=2, name='C', gender=1, age=22}
User{id=5, name='Spark', gender=1, age=25}
User{id=7, name='Python', gender=1, age=89}
User{id=9, name='C#', gender=1, age=33}
https://github.com/hylexus/blog-src/blob/master/java-core/src/test/java/cn/hylexus/lambda/CollectorTest.java