Java8 Stream 之groupingBy 分组讲解

发布时间 2023-07-28 17:16:42作者: 译林

本文主要讲解:Java 8 Stream之Collectors.groupingBy()分组示例

Collectors.groupingBy() 分组之常见用法

功能代码:

/**
* 使用java8 stream groupingBy操作,按城市分组list
*/
public void groupingByCity() {
Map<String, List<Employee>> map = employees.stream().collect(Collectors.groupingBy(Employee::getCity));
map.forEach((k, v) -> {
System.out.println(k + " = " + v);
});
}

Collectors.groupingBy() 分组之统计每个分组的count

功能代码:

/**
* 使用java8 stream groupingBy操作,按城市分组list统计count
*/
public void groupingByCount() {
Map<String, Long> map = employees.stream()
.collect(Collectors.groupingBy(Employee::getCity, Collectors.counting()));

map.forEach((k, v) -> {
System.out.println(k + " = " + v);
});
}

Collectors.groupingBy() 分组之统计分组平均值

功能代码:

/**
* 使用java8 stream groupingBy操作,按城市分组list并计算分组年龄平均值
*/
public void groupingByAverage() {
Map<String, Double> map = employees.stream()
.collect(Collectors.groupingBy(Employee::getCity, Collectors.averagingInt(Employee::getAge)));

map.forEach((k, v) -> {
System.out.println(k + " = " + v);
});
}

Collectors.groupingBy() 分组之统计分组总值

功能代码:

/**
* 使用java8 stream groupingBy操作,按城市分组list并计算分组销售总值
*/
public void groupingBySum() {
Map<String, Long> map = employees.stream()
.collect(Collectors.groupingBy(Employee::getCity, Collectors.summingLong(Employee::getAmount)));

map.forEach((k, v) -> {
System.out.println(k + " = " + v);
});

// 对Map按照分组销售总值逆序排序
Map<String, Long> sortedMap = new LinkedHashMap<>();
map.entrySet().stream().sorted(Map.Entry.<String, Long> comparingByValue().reversed())
.forEachOrdered(e -> sortedMap.put(e.getKey(), e.getValue()));

sortedMap.forEach((k, v) -> {
System.out.println(k + " = " + v);
});
}

Collectors.groupingBy() 分组之Join分组List

功能代码:

/**
* 使用java8 stream groupingBy操作,按城市分组list并通过join操作连接分组list中的对象的name 属性使用逗号分隔
*/
public void groupingByString() {
Map<String, String> map = employees.stream().collect(Collectors.groupingBy(Employee::getCity,
Collectors.mapping(Employee::getName, Collectors.joining(", ", "Names: [", "]"))));

map.forEach((k, v) -> {
System.out.println(k + " = " + v);
});
}

Collectors.groupingBy() 分组之转换分组结果List -> List

功能代码:

/**
* 使用java8 stream groupingBy操作,按城市分组list,将List转化为name的List
*/
public void groupingByList() {
Map<String, List<String>> map = employees.stream().collect(
Collectors.groupingBy(Employee::getCity, Collectors.mapping(Employee::getName, Collectors.toList())));

map.forEach((k, v) -> {
System.out.println(k + " = " + v);
v.stream().forEach(item -> {
System.out.println("item = " + item);
});
});
}

Collectors.groupingBy() 分组之转换分组结果List -> Set

功能代码:

/**
* 使用java8 stream groupingBy操作,按城市分组list,将List转化为name的Set
*/
public void groupingBySet() {
Map<String, Set<String>> map = employees.stream().collect(
Collectors.groupingBy(Employee::getCity, Collectors.mapping(Employee::getName, Collectors.toSet())));

map.forEach((k, v) -> {
System.out.println(k + " = " + v);
v.stream().forEach(item -> {
System.out.println("item = " + item);
});
});
}

Collectors.groupingBy() 分组之使用对象分组List

功能代码:

/**
* 使用java8 stream groupingBy操作,通过Object对象的成员分组List
*/
public void groupingByObject() {
Map<Manage, List<Employee>> map = employees.stream().collect(Collectors.groupingBy(item -> {
return new Manage(item.getName());
}));

map.forEach((k, v) -> {
System.out.println(k + " = " + v);
});
}

Collectors.groupingBy() 分组之使用两个成员分组List

功能代码:

/**
* 使用java8 stream groupingBy操作, 基于city 和name 实现多次分组
*/
public void groupingBys() {
Map<String, Map<String, List<Employee>>> map = employees.stream()
.collect(Collectors.groupingBy(Employee::getCity, Collectors.groupingBy(Employee::getName)));

map.forEach((k, v) -> {
System.out.println(k + " = " + v);
v.forEach((i, j) -> {
System.out.println(i + " = " + j);
});
});
}

自定义Distinct对结果去重

功能代码

/**
* 使用java8 stream groupingBy操作, 基于Distinct 去重数据
*/
public void groupingByDistinct() {
List<Employee> list = employees.stream().filter(distinctByKey(Employee :: getCity))
.collect(Collectors.toList());;

list.stream().forEach(item->{
System.out.println("city = " + item.getCity());
});


}

/**
* 自定义重复key 规则
* @param keyExtractor
* @return
*/
private static <T> Predicate<T> distinctByKey(Function<? super T, ?> keyExtractor) {
Set<Object> seen = ConcurrentHashMap.newKeySet();
return t -> seen.add(keyExtractor.apply(t));
}

原文地址https://blog.csdn.net/zhouzhiwengang/article/details/112319054