package com.collector;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.IntSummaryStatistics;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.TreeMap;
import java.util.function.Function;
import java.util.stream.Collector;
import java.util.stream.Collectors; import com.zpb.video_06.Dish;
import com.zpb.video_06.Dish.Type; /**
* @des Collector API的使用
* 三大功能:聚合 分组 统计
* @author zhao
* @date 2019年9月22日下午11:53:54
*
*/
public class CollectorsAPI { public static final 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)); public static void main(String[] args) {
//1.求平均值
testAveragingDouble();
testaveragingInt();
testAveragingLong();
testCollectingAndThen(); //2.统计
testCounting();
testGroupByFunction();
testGroupByFunctionAndCollectors();
testGroupByFunctionAndAndCollectors();
testSummarizingInt();
} private static void testSummarizingInt() {
IntSummaryStatistics intSummary = menu.stream().collect(Collectors.summarizingInt(Dish::getCalories));
Optional.ofNullable(intSummary).ifPresent(System.out::println);
} private static void testGroupByFunctionAndAndCollectors() {
System.out.println("...testGroupByFunctionAndCollectors...");
Map<Type, Double> map = menu.stream().collect(Collectors.groupingBy(Dish::getType,Collectors.averagingDouble(Dish::getCalories)));
Optional.ofNullable(map.getClass()).ifPresent(System.out::println); //hashmap
//我们得到的是hashMap, 下面把它改成treeMap
TreeMap<Type, Double> map2 = menu.stream().collect(Collectors.groupingBy(Dish::getType, TreeMap::new, Collectors.averagingDouble(Dish::getCalories)));
Optional.ofNullable(map2.getClass()).ifPresent(System.out::println); } private static void testGroupByFunctionAndCollectors() {
System.out.println("...testGroupByFunctionAndCollectors...");
Optional.ofNullable(menu.stream().collect(Collectors.groupingBy(Dish::getType, Collectors.counting())))
.ifPresent(System.out::println); //每个分类下卡路里平均值
Optional.ofNullable(
menu.stream().collect(Collectors.groupingBy(Dish::getType, Collectors.averagingDouble(Dish::getCalories))))
.ifPresent(System.out::println);
}
private static void testGroupByFunction() {
System.out.println("...testGroupByFunction...");
Optional.ofNullable(menu.stream().collect(Collectors.groupingBy(Dish::getType)))
.ifPresent(System.out::println);
} private static void testCounting() {
System.out.println("...testCounting...");
Optional.ofNullable(menu.stream().collect(Collectors.counting())).ifPresent(System.out::println);
}
private static void testAveragingDouble() {
System.out.println("...testAveragingDouble...");
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);
}
private static void testCollectingAndThen() {
/**
* collectingAndThen(Collector<T,A,R> downstream,Function<R,RR> finisher)
* 第1个参数是: Collector,也就是通过Collectors拿到的集合
* 第2个参数是:Function,也就是传入2个参数,R RR,返回的是RR
* 该方法最主要是要用好参数是怎么传入的
*/
System.out.println("...testCollectingAndThen..."); //1.获取到平均值,然后变成字符串输出
Optional.ofNullable(menu.stream().
collect(Collectors.collectingAndThen(Collectors.averagingLong(Dish::getCalories), a->"calories avg is "+a)))
.ifPresent(System.out::println); //2.得到指定集合,不能被别人修改
List<Dish> collect = menu.stream().filter(m->m.getType().equals(Type.MEAT))
.collect(Collectors.collectingAndThen(Collectors.toList(), Collections::unmodifiableList));
Optional.ofNullable(collect).orElseGet(ArrayList::new).forEach(System.out::println); } }
package com.collector;

import java.awt.Menu;
import java.util.Comparator;
import java.util.List;
import java.util.Optional;
import java.util.concurrent.ConcurrentSkipListMap;
import java.util.stream.Collectors; import com.collector.CollectorsAPI1;
import com.zpb.video_06.Dish;
import com.zpb.video_06.Dish.Type;
/**
* @des
* @author zhao
* @date 2019年9月24日上午12:13:00
*
*/
public class CollectorsAPI2 { static List<Dish> menu = CollectorsAPI1.menu; public final static void main(String[] args) { testGroupingByConcurrent();
testGroupingByConcurrentAndCollectors();
testGroupingByConcurrentAndSkipAndCollectors();
testJoining();
testJoiningAndPrefixAndSuffix();
testMapping();
testMaxBy();
testMinBy();
} //maxBy(Comparator<? super T> comparator) 按Comparator比较器规则,选出最大值
public static void testMaxBy() {
System.out.println(">>>>>>>>>>>>>>> testMaxBy >>>>>>>>>>>>>>>");
menu.stream().collect(Collectors.maxBy(Comparator.comparing(Dish::getCalories)))
.ifPresent(System.out::println);
} //maxBy(Comparator<? super T> comparator) 按Comparator比较器规则,选出最小值
public static void testMinBy() {
System.out.println(">>>>>>>>>>>>>>> testMaxBy >>>>>>>>>>>>>>>");
menu.stream().collect(Collectors.minBy(Comparator.comparing(Dish::getCalories)))
.ifPresent(System.out::println);
} public static void testMapping() {
System.out.println(">>>>>>>>>>>>>>> testMapping >>>>>>>>>>>>>>>");
/**
* mapping(Function<? super T, ? extends U> mapper, Collector<? super U, A, R> downstream) {
* 第1个参数得到的结果作为第2个参数操作的源数据
*/
Optional.ofNullable(menu.stream().collect(Collectors.mapping(Dish::getName, Collectors.joining(","))))
.ifPresent(System.out::println); } //连接操作
public static void testJoining() {
System.out.println(">>>>>>>>>>>>>>> testJoining() >>>>>>>>>>>>>>>");
Optional.ofNullable(menu.stream().map(Dish::getName).collect(Collectors.joining("#")))
.ifPresent(System.out::println);
}
public static void testJoiningAndPrefixAndSuffix() {
System.out.println(">>>>>>>>>>>>>>> testJoiningAndPrefixAndSuffix() >>>>>>>>>>>>>>>");
Optional.ofNullable(menu.stream().map(Dish::getName).collect(Collectors.joining(",","Name[","]")))
.ifPresent(System.out::println);
} public static void testGroupingByConcurrentAndSkipAndCollectors() {
System.out.println(">>>>>>>>>>>>>>> testGroupingByConcurrentAndSkipAndCollectors() >>>>>>>>>>>>>>>");
ConcurrentSkipListMap<Type, Double> skipListMap =
menu.stream().collect(Collectors.groupingBy(Dish::getType, ConcurrentSkipListMap::new,Collectors.averagingDouble(Dish::getCalories))); Optional.ofNullable(skipListMap.getClass()).ifPresent(System.out::println);
Optional.ofNullable(skipListMap).ifPresent(System.out::println); } public static void testGroupingByConcurrentAndCollectors() {
System.out.println(">>>>>>>>>>>>>>> testGroupingByConcurrentAndCollectors >>>>>>>>>>>>>>>");
Optional.ofNullable(menu.stream().collect(Collectors.groupingBy(Dish::getType, Collectors.averagingDouble(Dish::getCalories))))
.ifPresent(System.out::println);
}
//1.按类型分类,返回类型是:CurrentMap
public static void testGroupingByConcurrent() {
System.out.println(">>>>>>>>>>>>>>> testGroupingByConcurrent >>>>>>>>>>>>>>>");
Optional.ofNullable(menu.stream().collect(Collectors.groupingByConcurrent(Dish::getType)))
.ifPresent(System.out::println);
} }
package com.collector;

/**
* @des
* @author zhao
* @date 2019年9月25日下午8:21:52
*
*/
import static com.collector.CollectorsAPI1.menu; import java.util.Comparator;
import java.util.DoubleSummaryStatistics;
import java.util.IntSummaryStatistics;
import java.util.List;
import java.util.LongSummaryStatistics;
import java.util.Map;
import java.util.Optional;
import java.util.function.BinaryOperator;
import java.util.stream.Collectors; import com.zpb.video_06.Dish; public class CollectorsAPI3 { public static void main(String[] args) { // partitioningBy(Predicate<? super T> predicate) 通过条件判断来分组
// 注意返回值是map类型的,当key为true时,表示是value中是符合判断条件的list集合,反之则不是
Map<Boolean, List<Dish>> collect = menu.stream().collect(Collectors.partitioningBy(Dish::isVegetarian));
Optional.ofNullable(collect).ifPresent(System.out::println); // partitioningBy(Predicate<? super T> predicate, Collector<? super T,A,D> downstream)
// 通过判断条件得到的集合,交给下一个collector进行处理
Map<Boolean, Double> collect2 = menu.stream()
.collect(Collectors.partitioningBy(Dish::isVegetarian, Collectors.averagingDouble(Dish::getCalories)));
Optional.ofNullable(collect2).ifPresent(System.out::println); // reducing(BinaryOperator<T> op) 聚合操作(用的是BinaryOperator本身的方法)
Optional<Dish> collect3 = menu.stream()
.collect(Collectors.reducing(BinaryOperator.maxBy(Comparator.comparing(Dish::getCalories))));
collect3.ifPresent(System.out::println); // reducing(T identity, BinaryOperator<T> op) T: 返回值类型值, op: 二元操作(怎么运算,用的是BinaryOperator父类BiFunction的方法)
Integer collect4 = menu.stream().map(Dish::getCalories).collect(Collectors.reducing(0, (d1, d2) -> d1 + d2));
Optional.ofNullable(collect4).ifPresent(System.out::println); //reducing(U identity, Function<? super T,? extends U> mapper, BinaryOperator<U> op)
//第1个参数:定义类型,
//第二个参数:定义了第2个参数必须是第1个参数的类型歌者是其子类
//第三个参数:op: 二元操作(怎么运算,用的是BinaryOperator父类BiFunction的方法)
menu.stream().collect(Collectors.reducing(0, Dish::getCalories,(d1,d2) -> d1 + d2)); //summarizingDouble(ToDoubleFunction<? super T> mapper) 求集合元素的平均结果
DoubleSummaryStatistics collect5 = menu.stream().collect(Collectors.summarizingDouble(Dish::getCalories)); //这里发生了隐式转换
Optional.ofNullable(collect5).ifPresent(System.out::println); //summarizingInt(ToIntFunction<? super T> mapper)
IntSummaryStatistics collect6 = menu.stream().collect(Collectors.summarizingInt(Dish::getCalories));
Optional.ofNullable(collect5).ifPresent(System.out::println); //Collectors.summarizingLong
LongSummaryStatistics collect7 = menu.stream().collect(Collectors.summarizingLong(Dish::getCalories));
Optional.ofNullable(collect7).ifPresent(System.out::println); //summingInt(ToIntFunction<? super T> mapper) 求某个元素的合
Integer collect8 = menu.stream().collect(Collectors.summingInt(Dish::getCalories));
Double collect9 = menu.stream().collect(Collectors.summingDouble(Dish::getCalories));
Long collect10 = menu.stream().collect(Collectors.summingLong(Dish::getCalories));
Optional.ofNullable(collect8).ifPresent(System.out::println);
Optional.ofNullable(collect9).ifPresent(System.out::println);
Optional.ofNullable(collect10).ifPresent(System.out::println); }
}
package com.collector;

/**
* @des
* @author zhao
* @date 2019年9月25日下午9:36:49
*
*/
import static com.collector.CollectorsAPI1.menu; import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashMap;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Set;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ConcurrentSkipListMap;
import java.util.function.BinaryOperator;
import java.util.stream.Collectors; import com.zpb.video_06.Dish;
import com.zpb.video_06.Dish.Type; public class CollectorsAPI4 { public static void main(String[] args) { // toCollection(Supplier<C> collectionFactory)
// 参数:只要是Collection的子类即可
ArrayList<Dish> collect = menu.stream().collect(Collectors.toCollection(ArrayList::new));
LinkedHashSet<Dish> collect2 = menu.stream().collect(Collectors.toCollection(LinkedHashSet::new)); // toConcurrentMap(Function<? super T,? extends K> keyMapper, Function<? super
// T,? extends U> valueMapper)
ConcurrentMap<String, Integer> collect3 = menu.stream()
.collect(Collectors.toConcurrentMap(Dish::getName, Dish::getCalories));
Optional.ofNullable(collect3).ifPresent(System.out::println);
System.out.println(">>>>>>>>>>>>>>>>>> 1");
// toConcurrentMap(Function<? super T,? extends K> keyMapper, Function<? super
// T,? extends U> valueMapper, BinaryOperator<U> mergeFunction)
// 第1个参数:通过Function拿到key
// 第2个参数:通过Function拿到value
// 第3个参数:将前面的value进行二次元操作
ConcurrentMap<String, Integer> collect4 = menu.stream().filter(d -> d.getCalories() > 500)
.collect(Collectors.toConcurrentMap(Dish::getName, Dish::getCalories, (d1, d2) -> d1 + d2));
Optional.ofNullable(collect4).ifPresent(System.out::println);
Optional.ofNullable(collect4.getClass()).ifPresent(System.out::println);
System.out.println(">>>>>>>>>>>>>>>>>> 2"); // 对同一类型的值进行++操作
menu.stream().collect(Collectors.toConcurrentMap(Dish::getType, v -> 1L, (a, b) -> a + b)); // toConcurrentMap(Function<? super T,? extends K> keyMapper, Function<? super
// T,? extends U> valueMapper, BinaryOperator<U> mergeFunction, Supplier<M>
// mapSupplier)
// 由上面可知得到的类型是concurrentHashMap类型,第4个参数就是要转换成哪种map类型
// 第1个参数:通过Function拿到key
// 第2个参数:通过Function拿到value
// 第3个参数:将前面的value进行二次元操作
// 第4个参数:通过Supplier转换成其它类型
ConcurrentSkipListMap<Type, Long> collect5 = menu.stream().filter(d -> d.getCalories() > 500).collect(
Collectors.toConcurrentMap(Dish::getType, v -> 1L, (a, b) -> a + b, ConcurrentSkipListMap::new)); // toList()
List<Dish> collect6 = menu.stream().collect(Collectors.toList());
Optional.ofNullable(collect6).ifPresent(System.out::println); // toMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends
// U> valueMapper)
Map<String, Long> collect7 = menu.stream().collect(Collectors.toMap(Dish::getName, V -> 1L)); // toMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends U> valueMapper, BinaryOperator<U> mergeFunction)
Map<String, Long> collect8 = menu.stream().collect(Collectors.toMap(Dish::getName, v -> 1L, (a, b) -> a + b)); // toMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends U> valueMapper,
// BinaryOperator<U> mergeFunction, Supplier<M> mapSupplier)
menu.stream().collect(Collectors.toMap(Dish::getType, v -> 1L, (a, b) -> a + b, ConcurrentSkipListMap::new));
System.out.println(">>>>>>>>>>>>>>>>>> 6"); menu.stream().collect(Collectors.collectingAndThen(Collectors.toMap(Dish::getName, Dish::getCalories), Collections::synchronizedMap)); Set<Dish> collect9 = menu.stream().collect(Collectors.toSet());
Optional.ofNullable(collect9).ifPresent(System.out::println);
}
}

jdk1.8 -- Collectors 的使用的更多相关文章

  1. JDK1.8新特性——Collector接口和Collectors工具类

    JDK1.8新特性——Collector接口和Collectors工具类 摘要:本文主要学习了在Java1.8中新增的Collector接口和Collectors工具类,以及使用它们在处理集合时的改进 ...

  2. JDK1.8新特性(二):Collectors收集器类

    一. 什么是Collectors? Java 8 API添加了一个新的抽象称为流Stream,我们借助Stream API可以很方便的操作流对象. Stream中有两个方法collect和collec ...

  3. 【JDK1.8】JDK1.8集合源码阅读——总章

    一.前言 今天开始阅读jdk1.8的集合部分,平时在写项目的时候,用到的最多的部分可能就是Java的集合框架,通过阅读集合框架源码,了解其内部的数据结构实现,能够深入理解各个集合的性能特性,并且能够帮 ...

  4. Java进阶篇之十五 ----- JDK1.8的Lambda、Stream和日期的使用详解(很详细)

    前言 本篇主要讲述是Java中JDK1.8的一些新语法特性使用,主要是Lambda.Stream和LocalDate日期的一些使用讲解. Lambda Lambda介绍 Lambda 表达式(lamb ...

  5. 【新特性】JDK1.8

    一.简介 毫无疑问,Java 8是Java自Java 5(发布于2004年)之后的最重要的版本.这个版本包含语言.编译器.库.工具和JVM等方面的十多个新特性.在本文中我们将学习这些新特性,并用实际的 ...

  6. jdk1.8

    Jdk1.8新特性 毫无疑问,Java 8是Java自Java 5(发布于2004年)之后的最重要的版本.这个版本包含语言.编译器.库.工具和JVM等方面的十多个新特性.在本文中我们将学习这些新特性, ...

  7. jdk1.8新特性应用之Collection

    之前说了jdk1.8几个新特性,现在看下实战怎么玩,直接看代码: public List<MSG_ConMediaInfo> getConMediaInfoList(String live ...

  8. JDK1.8源码泛读之Arrays

    jdk1.8包含的常用集合工具类,一般包括两个: 数组工具类:`java.util.Arrays ` 结合工具类:`java.util.Collections` 今天就结合源码对`java.util. ...

  9. java使用lambda表达式对List集合进行操作(JDK1.8)

    1. 使用lambda表达式对List集合进行操作(JDK1.) List<TreeDto> collect = list.stream().filter(item -> item. ...

随机推荐

  1. 浏览器事件环(EventLoop)

    1. 基础知识 1. js语言特点 1. js语言是单线程语言,主线程是单线程.如UI渲染,脚本加载是主线程任务. 2. js语言采用事件循环(EventLoop)机制. 2. 同步任务: 不被引擎挂 ...

  2. loj#6285 数列分块入门 9 ( 回 滚 )

    题目 :  链接 :https://loj.ac/problem/6285 题意:给出一个长为 n的数列,以及 n个操作,操作涉及询问区间的最小众数. 思路:虽然这不是一道 回滚莫队题,就是 暴力分块 ...

  3. win10以及ubuntu下设置pip源

    问题描述:有一段时间下载python库的时候速度非常慢,想着提高安装python库的速度. window10下: 一:首先进入c盘的用户目录,如我的目录为C:\Users\felix. 二:创建名为p ...

  4. 2018CCPCFINAL B Balance of the Force 枚举最大值

    题意 n个人能选择黑暗面和光明面,选择两个面分别能获得\(L_i\)和\(R_i\)的力量,有m对人不能选择同一面,问n个人的力量中的最大值-最小值尽可能小为多少. \(1<=n<=2\t ...

  5. pause函数

    pause函数 调用该函数可以造成进程主动挂起,等待信号唤醒.调用该系统调用的进程将处于阻塞状态(主动放弃cpu) 直到有信号递达将其唤醒. int pause(void);     返回值:-1 并 ...

  6. 主机,路由器,应用程序,sockets api的关系

  7. poj 1458 Common Subsequence ——(LCS)

    虽然以前可能接触过最长公共子序列,但是正规的写应该还是第一次吧. 直接贴代码就好了吧: #include <stdio.h> #include <algorithm> #inc ...

  8. CF1200B

    CF1200B 解法: 贪心.当在第i列时,尽可能多的取走第i列的木块使得袋子里的木块尽可能多 CODE: #include<iostream> #include<cstdio> ...

  9. Redis启动后基础只是讲解

    1.单进程 epoll是Linux内核为处理大批量文件描述符而作了改进的epoll,是Linux下多路复用IO接口select/poll的增强版本, 它能显著提高程序在大量并发连接中只有少量活跃的情况 ...

  10. [GIT]比较不同分支的差异

        比如我们有 2 个分支:master, dev,现在想查看这两个 branch 的区别,有以下几种方式: undefined 1.查看 dev 有,而 master 中没有的: 1.查看 de ...