java8Collector

ゞ浴缸里的玫瑰 2022-03-01 06:36 150阅读 0赞

### 文章目录 ###

*  初识Collector体会Collector的强大
 *   *  聚合
     *  分组
     *   *  传统做法
         *  lamda 函数式编程
         *  Collector的方式
 *  Collector使用方法
 *   *  求卡路里的平均值
     *   *  Collectors.averagingDouble/ Int/ Long
         *  Collectors.collectingAndThen 修饰平均值结果 及 禁止修改
     *  统计返回结果数 Collectors.counting()
     *  分组
     *   *  按类型分组 Collectors.groupingBy(Dish::getType))
         *  分类计算总数
         *  分类求卡路里平均值
         *  分类求卡路里平均值 treeMap
         *  Collectors.summarizingInt 求多个常规聚合值

# 初识Collector体会Collector的强大 #

三个主要功能  
![在这里插入图片描述][2019032120534058.png]  
java.util.stream.Collector  
它的实现类  
java.util.stream.Collectors

## 聚合 ##

Apple

public class Apple {
    
        private String color;
        private long weight;
    
        public Apple() {
        }
    
        public Apple(String color, long weight) {
            this.color = color;
            this.weight = weight;
        }
    
        public String getColor() {
            return color;
        }
    
        public void setColor(String color) {
            this.color = color;
        }
    
        public long getWeight() {
            return weight;
        }
    
        public void setWeight(long weight) {
            this.weight = weight;
        }
    
        @Override
        public String toString() {
            return "Apple{" +
                    "color='" + color + '\'' +
                    ", weight=" + weight +
                    '}';
        }
    }

聚合

public static void main(String[] args) {
            List<Apple> list = Arrays.asList(
                    new Apple("green", 150),
                    new Apple("yellow", 120),
                    new Apple("green", 170));
    
            List<Apple> greenList = list.stream().filter(a -> a.getColor().equals("green")).collect(Collectors.toList());
            Optional.of(greenList).ifPresent(System.out::println);
            //[Apple{color='green', weight=150}, Apple{color='green', weight=170}]
        }

## 分组 ##

根据颜色分组

### 传统做法 ###

/**
         * 按颜色分组
         * @param apples
         * @return
         */
        private static Map<String,List<Apple>> groupByNomal(List<Apple> apples){
            Map<String,List<Apple>> map = new HashMap<>();
            for (Apple apple : apples) {
                List<Apple> list = map.get(apple.getColor());
                if(list==null){
                    list=new ArrayList<>();
                    map.put(apple.getColor(),list);
                }
                list.add(apple);
            }
            return map;
        }

Optional.of(groupByNomal(list)).ifPresent(System.out::println);
            //{green=[Apple{color='green', weight=150}, Apple{color='green', weight=170}],
            // yellow=[Apple{color='yellow', weight=120}]}

### lamda 函数式编程 ###

private static Map<String, List<Apple>> groupByFunction(List<Apple> apples) {
            Map<String, List<Apple>> map = new HashMap<>();
            apples.parallelStream().forEach(a -> {
                List<Apple> colorList = Optional.ofNullable(map.get(a.getColor())).orElseGet(() -> {
                    List<Apple> list = new ArrayList<>();
                    map.put(a.getColor(), list);
                    return list;
                });
                colorList.add(a);
            });
            //        map=null;   （Variable used in lambda expression should be final or effectively final）
            return map;
        }

> lambda中使用外层的变量，不能在lamdba表达式中修改其值，外层变量可以不是final类型的，但是绝对不可以在lambda表达式中修改外层变量的值。（Variable used in lambda expression should be final or effectively final）

Optional.ofNullable(groupByFunction(list)).ifPresent(System.out::println);

### Collector的方式 ###

private static Map<String, List<Apple>> groupByCollector(List<Apple> apples) {
            return apples.parallelStream().collect(groupingBy(Apple::getColor));
        }

Optional.ofNullable(groupByCollector(list)).ifPresent(System.out::println);

很快捷

# Collector使用方法 #

公共类  
Dish

public class Dish {
    
        private final String name;
        private final boolean vegetarian;
        private final int calories;
        private final Type type;
    
        public Dish(String name, boolean vegetarian, int calories, Type type) {
            this.name = name;
            this.vegetarian = vegetarian;
            this.calories = calories;
            this.type = type;
        }
    
    
        public String getName() {
            return name;
        }
    
        public boolean isVegetarian() {
            return vegetarian;
        }
    
        public int getCalories() {
            return calories;
        }
    
        public Type getType() {
            return type;
        }
    
        public enum Type {MEAT, FISH, OTHER}
    
    
        @Override
        public String toString() {
            return "Dish{" +
                    "name='" + name + '\'' +
                    ", vegetarian=" + vegetarian +
                    ", calories=" + calories +
                    ", type=" + type +
                    '}';
        }
    }

初始化数据

public  static List<Dish> menu = Arrays.asList(
                new Dish("pork", false, 800, Dish.Type.MEAT),
                new Dish("beef", false, 700, Dish.Type.MEAT),
                new Dish("chicken", false, 400, Dish.Type.MEAT),
                new Dish("french fries", true, 530, Dish.Type.OTHER),
                new Dish("rice", true, 350, Dish.Type.OTHER),
                new Dish("season fruit", true, 120, Dish.Type.OTHER),
                new Dish("pizza", true, 550, Dish.Type.OTHER),
                new Dish("prawns", false, 300, Dish.Type.FISH),
                new Dish("salmon", false, 450, Dish.Type.FISH));

## 求卡路里的平均值 ##

### Collectors.averagingDouble/ Int/ Long ###

private static void testAveragingDouble() {
            System.out.println("testAveragingDouble");
            //求 平均数 返回 double
            Optional.ofNullable(menu.stream().collect(Collectors.averagingDouble(Dish::getCalories)))
                    .ifPresent(System.out::println);
        }
    
        private static void testAveragingInt() {
            System.out.println("testAveragingInt");
            Optional.ofNullable(menu.stream().collect(Collectors.averagingInt(Dish::getCalories)))
                    .ifPresent(System.out::println);
        }
    
        private static void testAveragingLong() {
            System.out.println("testAveragingLong");
            Optional.ofNullable(menu.stream().collect(Collectors.averagingLong(Dish::getCalories)))
                    .ifPresent(System.out::println);
        }

test

public static void main(String[] args) {
            testAveragingDouble();
            testAveragingInt();
            testAveragingLong();
            }

![在这里插入图片描述][20190526161252711.png]  
java.util.stream.Collectors\#averagingDouble 源码

public static <T> Collector<T, ?, Double>
        averagingDouble(ToDoubleFunction<? super T> mapper) {  //ToDoubleFunction返回double类型
            /*
             * In the arrays allocated for the collect operation, index 0
             * holds the high-order bits of the running sum, index 1 holds
             * the low-order bits of the sum computed via compensated
             * summation, and index 2 holds the number of values seen.
             */
            return new CollectorImpl<>(
                    () -> new double[4],
                    (a, t) -> { sumWithCompensation(a, mapper.applyAsDouble(t)); a[2]++; a[3]+= mapper.applyAsDouble(t);},
                    (a, b) -> { sumWithCompensation(a, b[0]); sumWithCompensation(a, b[1]); a[2] += b[2]; a[3] += b[3]; return a; },
                    a -> (a[2] == 0) ? 0.0d : (computeFinalSum(a) / a[2]),
                    CH_NOID);
        }

java.util.function.ToDoubleFunction  
给任意一个参数返回一个double类型数据

@FunctionalInterface
    public interface ToDoubleFunction<T> {
    
        /**
         * Applies this function to the given argument.
         *
         * @param value the function argument
         * @return the function result
         */
        double applyAsDouble(T value);
    }

### Collectors.collectingAndThen 修饰平均值结果 及 禁止修改 ###

返回的东西会被修改怎么办

Collections::unmodifiableList  
.collect(Collectors.collectingAndThen(Collectors.toList(), Collections::unmodifiableList));

实际上就是 将返回的结果 用 Collections.unmodifiableList(list);这个方法包装后再返回

List dishes = Collections.unmodifiableList(list);

private static void testCollectingAndThen() {
            System.out.println("testCollectingAndThen");
    
            String collect = menu.stream().collect(Collectors.collectingAndThen(
                    Collectors.averagingInt(Dish::getCalories), a -> "The Average Calories is->" + a));
    
            Optional.ofNullable(collect).ifPresent(System.out::println);
    
    
            List<Dish> list = menu.stream().filter(d -> d.getType().equals(Dish.Type.MEAT))
                    .collect(Collectors.collectingAndThen(Collectors.toList(), Collections::unmodifiableList));
    
            list.add(new Dish("", false, 100, Dish.Type.OTHER));
    
            System.out.println(list);
        }

![在这里插入图片描述][20190526162640690.png]

## 统计返回结果数 Collectors.counting() ##

private static void testCounting() {
            System.out.println("testCounting");
            Optional.of(menu.stream().collect(
                    Collectors.counting()
            )).ifPresent(System.out::println);//9
        }

## 分组 ##

### 按类型分组 Collectors.groupingBy(Dish::getType)) ###

private static void testGroupingByFunction() {
            System.out.println("testGroupingByFunction");
            Map<Dish.Type, List<Dish>> collect = menu.stream().collect(
                    Collectors.groupingBy(Dish::getType)
            );
            Optional.of(collect).ifPresent(System.out::println);
        }

### 分类计算总数 ###

private static void testGroupingByFunctionAndCollector() {
            System.out.println("testGroupingByFunctionAndCollector");
    
            Map<Dish.Type, Long> collect = menu.stream().collect(
                    Collectors.groupingBy(
                            Dish::getType,
                            Collectors.counting()
                    ));
            Optional.of(collect).ifPresent(System.out::println);
        }

![在这里插入图片描述][20190526163929491.png]

### 分类求卡路里平均值 ###

private static void testGroupingByFunctionAndCollector() {
            System.out.println("testGroupingByFunctionAndCollector");
    
            Map<Dish.Type, Double> collect = menu.stream().collect(
                    Collectors.groupingBy(
                            Dish::getType, 
                            Collectors.averagingInt(Dish::getCalories)
                    ));
            Optional.of(collect).ifPresent(System.out::println);
        }

![在这里插入图片描述][20190526164105530.png]

### 分类求卡路里平均值 treeMap ###

private static void testGroupingByFunctionAndSupplierAndCollector() {
            System.out.println("testGroupingByFunctionAndSupplierAndCollector");
            Map<Dish.Type, Double> map = menu.stream().collect(
                    Collectors.groupingBy(Dish::getType, 
                                          TreeMap::new, 
                                          Collectors.averagingInt(Dish::getCalories)
                    ));
    
            Optional.of(map.getClass()).ifPresent(System.out::println);
            Optional.of(map).ifPresent(System.out::println);
        }

### Collectors.summarizingInt 求多个常规聚合值 ###

private static void testSummarizingInt() {
            System.out.println("testSummarizingInt");
            IntSummaryStatistics result = menu.stream().collect(
                    Collectors.summarizingInt(Dish::getCalories)
            );
            Optional.of(result).ifPresent(System.out::println);
        }

![在这里插入图片描述][20190526164913350.png]

[2019032120534058.png]: /images/20220301/9fe05092b2ba49cea912fa4c33e5dd6c.png
[20190526161252711.png]: /images/20220301/51b97ebd3e174537b14543d0ae02ba1b.png
[20190526162640690.png]: /images/20220301/fad8e199060a4864b14fc6698ec42834.png
[20190526163929491.png]: /images/20220301/2c1c482069b04012b0eeb8ebfbb5d4ec.png
[20190526164105530.png]: /images/20220301/06951a84776747079b372de86ca49326.png
[20190526164913350.png]: /images/20220301/69265721469243a3a6829eeaa3ffed28.png