Java8新特性之Stream API详解
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2022-03-03 11:05:23
一、前言streamapi在java8版本中使用,关注的是对数据的筛选、查找、存储等它可以做的事情有:过滤、排序、映射、归约二、使用流程stream实例化中间操作(过滤、排序、映射、规约)终止操作(匹...
一、前言
streamapi在java8版本中使用,关注的是对数据的筛选、查找、存储等
它可以做的事情有:过滤、排序、映射、归约
二、使用流程
stream实例化中间操作(过滤、排序、映射、规约)终止操作(匹配查找、归约、收集)
三、案例演示
public class employeedata { public static list<employee> getemployees(){ list<employee> list = new arraylist<>(); list.add(new employee(1001, "马化腾", 34, 6000.38)); list.add(new employee(1002, "马云", 12, 9876.12)); list.add(new employee(1003, "刘强东", 33, 3000.82)); list.add(new employee(1004, "雷军", 26, 7657.37)); list.add(new employee(1005, "李彦宏", 65, 5555.32)); list.add(new employee(1006, "比尔盖茨", 42, 9500.43)); list.add(new employee(1007, "任正非", 26, 4333.32)); list.add(new employee(1008, "扎克伯格", 35, 2500.32)); return list; } }
package jdk_8; import org.junit.test; import java.util.arrays; import java.util.list; import java.util.optional; import java.util.stream.collectors; import java.util.stream.stream; public class streamapi { // 方式1:使用集合创建stream @test public void test1() { list<employee> list = employeedata.getemployees(); // 返回一个顺序流 stream<employee> stream = list.stream(); // 返回一个并行流 stream<employee> employeestream = list.parallelstream(); } // 方式2:使用数组创建流对象 @test public void test2() { employee e1 = new employee(1003, "wzy", 26, 3000.69); employee e2 = new employee(1007, "王紫玉", 25, 8888); employee[] list2 = new employee[]{e1, e2}; stream<employee> stream = arrays.stream(list2); stream.foreach(system.out::println); } // 通过stream.of 创建 @test public void test3() { stream<integer> stream = stream.of(1, 2, 3, 4, 5, 6); stream.foreach(system.out::println); } // stream.filter进行过滤 @test public void test4() { list<employee> list = employeedata.getemployees(); list.stream().filter(employee -> employee.getage() > 25).foreach(system.out::println); } // 使用streamapi筛选 @test public void test5() { list<employee> list = employeedata.getemployees(); list.add(new employee(1004, "wzy", 25, 18888)); list.add(new employee(1004, "wzy", 25, 18888)); list.add(new employee(1004, "wzy", 25, 18888)); list.add(new employee(1004, "wzy", 25, 18888)); list.stream().foreach(system.out::println); system.out.println(); list.stream().distinct().foreach(system.out::println); } @test public void test6() { list<string> list = arrays.aslist("a", "b", "c"); // map(function<? super t,? extends r> mapper) // 返回由给定函数应用于此流的元素的结果组成的流。 list.stream().map(s -> s.touppercase()).foreach(system.out::println); } // 使用streamapi筛选:工资大于6000的员工 @test public void test7() { list<employee> list = employeedata.getemployees(); list.stream().filter(s -> s.getsalary() > 6000).foreach(system.out::println); } // streamapi映射:map,接收参数,将参数转换为其他形式的信息; @test public void test8() { list<employee> list = employeedata.getemployees(); list.stream().map(e -> e.getage()).foreach(system.out::println); } // streamapi排序,sorted帮助实现comparable接口进行对象比较 @test public void test9() { list<employee> list = employeedata.getemployees(); list.stream().sorted((e1, e2) -> { int agevalue = integer.compare(e1.getage(), e2.getage()); if (agevalue != 0) { return agevalue; } else { return double.compare(e1.getsalary(), e2.getsalary()); } }).foreach(system.out::println); } // streamapi匹配:所有元素是否满足下列条件 @test public void test10() { list<employee> list = employeedata.getemployees(); boolean allmatch = list.stream().allmatch(e -> e.getsalary() > 5000); system.out.println(allmatch); } // streamapi查找:返回第一个元素 @test public void test11() { list<employee> list = employeedata.getemployees(); optional<employee> first = list.stream().findfirst(); system.out.println(first); } // streamapi查找:返回薪水数最大的员工 @test public void test12() { list<employee> list = employeedata.getemployees(); stream<double> salarystream = list.stream().map(e -> e.getsalary()); optional<double> max = salarystream.max(double::compare); system.out.println(max); } // streamapi查找:薪水最小的员工对像 @test public void test13() { list<employee> list = employeedata.getemployees(); optional<employee> min = list.stream().min((e1, e2) -> double.compare(e1.getsalary(), e2.getsalary())); system.out.println(min); } // streamapi:归约 @test public void test14() { list<employee> list = employeedata.getemployees(); stream<double> salarystream = list.stream().map(e -> e.getsalary()); optional<double> sum = salarystream.reduce((s1, s2) -> s1 + s2); system.out.println(sum.get()); } // streamapi:收集 @test public void test15(){ list<employee> list = employeedata.getemployees(); list<employee> employeelist = list.stream().filter(e -> e.getsalary() > 5000).collect(collectors.tolist()); for (employee employee : employeelist) { system.out.println(employee); } } }
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