这一篇用来记录对前面学习的Lambda和Stream的综合训练java
练习题取值尚硅谷教学视频,由于中文的博大精深,有一些题理解不同,求出来的结果也不同,只求达到复习和提升知识掌握度,下面直接上代码ide
先来Bean学习
package com.jv.java8.stream; //交易员 public class Trader { private String name; private String city; public Trader() { } public Trader(String name, String city) { this.name = name; this.city = city; } public String getName() { return name; } public void setName(String name) { this.name = name; } public String getCity() { return city; } public void setCity(String city) { this.city = city; } @Override public String toString() { return "Trader [name=" + name + ", city=" + city + "]"; } }
package com.jv.java8.stream; //交易 public class Transaction { //交易员 private Trader trader; //交易日期 private int year; //交易金额 private int value; public Transaction() { } public Transaction(Trader trader, int year, int value) { this.trader = trader; this.year = year; this.value = value; } public Trader getTrader() { return trader; } public void setTrader(Trader trader) { this.trader = trader; } public int getYear() { return year; } public void setYear(int year) { this.year = year; } public int getValue() { return value; } public void setValue(int value) { this.value = value; } @Override public String toString() { return "Transaction [trader=" + trader + ", year=" + year + ", value=" + value + "]"; } }
再来测试代码,代码中使用到了过滤,排序,归约,分组,求平均值,最大值,最小值,最小值对应记录等等,并且有的实现提供了多种方式。测试
package com.jv.java8.stream; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.Map; import java.util.Optional; import java.util.stream.Collectors; import java.util.stream.Stream; import org.junit.Before; import org.junit.Test; import com.jv.bean.Cust; /* * Stream API练习 */ public class StreamPractice { List<Transaction> transactions = null; @Before public void before(){ Trader raoul = new Trader("Raoul", "Cambridge"); Trader mario = new Trader("Mario", "Milan"); Trader alan = new Trader("Alan", "Cambridge"); Trader brian = new Trader("Brian", "Cambridge"); transactions = Arrays.asList( new Transaction(brian, 2011, 300), new Transaction(raoul, 2012, 1000), new Transaction(raoul, 2011, 400), new Transaction(mario, 2012, 710), new Transaction(mario, 2012, 700), new Transaction(alan, 2012, 950) ); } List<Cust> custs = Arrays.asList( new Cust(101,"梅西",30,33000000L), new Cust(102,"伊布",35,23000000L), new Cust(103,"哈维",34,20000000L), new Cust(104,"伊列斯塔",33,18000000L), new Cust(105,"小罗",37,15000000L), new Cust(106,"内马尔",27,32000000L), new Cust(106,"内马尔",27,32000000L), new Cust(106,"姆巴佩",23,30500000L) ); @Test public void test0() { /* * 给定一个数字列表,返回每一个数字平反的列表 */ List<Integer> l1 = Arrays.asList(1,2,3,4).stream().map(x->x*x).collect(Collectors.toList()); System.out.println(l1); System.out.println("##########################"); /* * 用Map和Reduce计算流中有多少个Cust对象 * 固然你能够有不少种方法均可以统计列表中对象的个数,只是为了更进一步了解Stream API的用法,才要求这样作 */ Integer ic1 = custs.stream().map(Cust::getAge).reduce(0, (x,y)->x+1); System.out.println(ic1); Integer ic2 = custs.stream().map(e -> 1).reduce(0, Integer::sum); System.out.println(ic2); } //1. 找出2011年发生的全部交易, 并按交易额排序(从低到高) @Test public void test1() { transactions.stream().filter(x->x.getYear()==2011).sorted((x,y)->{ if(x.getValue()>y.getValue()) { return 1; }else if(x.getValue()<y.getValue()) { return -1; }else { return 0; } }).forEach(System.out::println); } //2. 交易员都在哪些不一样的城市工做过? @Test public void test2() { //实际上就是找出全部交易员工做的城市并排重 //方式1 transactions.stream().map(Transaction::getTrader).map(Trader::getCity).distinct().forEach(System.out::println); //方式2 transactions.stream().map(x->x.getTrader().getCity()).distinct().forEach(System.out::println); } //3. 查找全部来自剑桥的交易员,并按姓名排序 @Test public void test3() { transactions.stream().filter(x->x.getTrader().getCity().equals("Cambridge")).sorted((x,y)->{ return x.getTrader().getName().compareTo(y.getTrader().getName()); }).forEach(System.out::println); } //4. 返回全部交易员的姓名字符串,按字母顺序排序 @Test public void test4() { //方式1 String s = transactions.stream().map(x->x.getTrader().getName()).distinct().sorted().collect(Collectors.joining(",")); System.out.println(s); //方式2 String s1 = transactions.stream().map(x->x.getTrader().getName()).distinct().sorted().reduce("", (x,y)->x+","+y).replaceFirst(",", ""); System.out.println(s1); } //5. 有没有交易员是在米兰工做的? @Test public void test5() { Boolean b = transactions.stream().anyMatch(x->x.getTrader().getCity().equals("Milan")); System.out.println(b); } //6. 打印生活在剑桥的交易员的全部交易额 @Test public void test6() { //方式1 Map<Object, List<Transaction>> mt = transactions.stream().filter(x->x.getTrader().getCity().equals("Cambridge")) .collect(Collectors.groupingBy(x->x.getTrader().getName())); //System.out.println(mt); for(Object obj:mt.keySet()) { Integer i = mt.get(obj.toString()).stream().collect(Collectors.summingInt(x->x.getValue())); System.out.println(obj+":"+i); } //方式2 Map<Object,Integer> mt1 = transactions.stream().filter(x->x.getTrader().getCity().equals("Cambridge")) .collect(Collectors.groupingBy(x->x.getTrader().getName(), Collectors.summingInt(x->x.getValue()))); System.out.println(mt1); //很明显流提供的支持确实很强大,第二种方式要简单好多好多 } //7. 全部交易中,最高的交易额是多少 @Test public void test7() { Optional<Integer> i = transactions.stream().map(Transaction::getValue).collect(Collectors.maxBy(Integer::compare)); System.out.println(i.get()); } //8. 找到交易额最小的交易 @Test public void test8() { Optional<Transaction> op = transactions.stream().min((x,y)->Integer.compare(x.getValue(), y.getValue())); System.out.println(op.get()); } }
再次感叹Stream结合Lambda确实很牛啊。之前在公司解除的代码都是JDK1.4 JDK1.6的,真是土到渣了(这固然是能够理解的,由于换JDK成本过高,没人买单)this