使用lambda表达式对两个list并集、去重并集、交集、差集处理
import java.util.ArrayList; import java.util.List; import static java.util.stream.Collectors.toList; public class Code { public static void main(String[] args) throws ParseException { List<String> list1 = new ArrayList<String>(); list1.add("1"); list1.add("2"); list1.add("3"); list1.add("5"); list1.add("6"); List<String> list2 = new ArrayList<String>(); list2.add("2"); list2.add("3"); list2.add("7"); list2.add("8"); new Code().quchongjiaoji(list1,list2); } // 交集 public void jiaoji(List<String> list1,List<String> list2){ List<String> intersection = list1.stream().filter(item -> list2.contains(item)).collect(toList()); System.out.println("---交集 intersection---"); intersection.parallelStream().forEach(System.out :: println); } // 差集 (list1 - list2) public void chaji(List<String> list1,List<String> list2){ List<String> reduce1 = list1.stream().filter(item -> !list2.contains(item)).collect(toList()); System.out.println("---差集 reduce1 (list1 - list2)---"); reduce1.parallelStream().forEach(System.out :: println); } // 差集 (list2 - list1) public void chajito(List<String> list1,List<String> list2){ List<String> reduce2 = list2.stream().filter(item -> !list1.contains(item)).collect(toList()); System.out.println("---差集 reduce2 (list2 - list1)---"); reduce2.parallelStream().forEach(System.out :: println); } // 并集 public void binji(List<String> list1,List<String> list2){ List<String> listAll = list1.parallelStream().collect(toList()); List<String> listAll2 = list2.parallelStream().collect(toList()); listAll.addAll(listAll2); System.out.println("---并集 listAll---"); listAll.parallelStream().forEachOrdered(System.out :: println); } // 去重并集 public void quchongjiaoji(List<String> list1,List<String> list2){ List<String> listAll = list1.parallelStream().collect(toList()); List<String> listAll2 = list2.parallelStream().collect(toList()); listAll.addAll(listAll2); List<String> listAllDistinct = listAll.stream().distinct().collect(toList()); System.out.println("---得到去重并集 listAllDistinct---"); listAllDistinct.parallelStream().forEachOrdered(System.out::println); } }
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