參考簡述網址: java8 List 根據對象某個字段或多個字段去重、篩選、List轉Map、排序、分組、統計計數等等
list簡單方法示例如下:
一、先定義一個訂單對象(Order)
public class Order {private Long id;private Long userId;private String num;private String type;private Float allAmt;private Float payAmt;private Integer orderNum;public Order(Long id, Long userId, String num, String type, Float allAmt, Float payAmt, Integer orderNum) {this.id = id;this.userId = userId;this.num = num;this.type = type;this.allAmt = allAmt;this.payAmt = payAmt;this.orderNum = orderNum;}// getting... setting...
}
二、過濾篩選:
List<Order> orders = Lists.newArrayList();// 篩選總金額大于1000的訂單orders = orders.stream().filter(item -> item.getAllAmt() > 1000.00f).collect(Collectors.toList());
三、分組
List<Order> orders = Lists.newArrayList();// 按照訂單類型分組Map<String, List<Order>> orderGroupMap = orders.stream().collect(Collectors.groupingBy(Order::getType));
四、去重
去重并排序參考TreeSet: java TreeSet去重與排序入門
去重: Java中List集合對象去重及按屬性去重
四、List 轉 Map
List<Order> orders = Lists.newArrayList();// 將訂單集合轉換成訂單編號-應付金額 map,注意訂單編號作為 key 不能重復,應先做去重處理Map<String, Float> numPayMap = orders.stream().collect(Collectors.toMap(Order::getNum, Order::getPayAmt));// 用 id 做 key 將 List 轉成 MapMap<Long, Order> orderMap = orders.stream().collect(Collectors.toMap(Order::getId, item -> item));
五、排序
詳細看比較器排序: Java Comparator使用指南
List<Order> orders = Lists.newArrayList();// 按照訂單總金額從高到低排序// 方式一orders.sort((o1, o2)-> o1.getAllAmt() == null ? 1 : (o2.getAllAmt() == null ? -1 : o2.getAllAmt().compareTo(o1.getAllAmt())));// 方式二orders.sort(Comparator.comparing(Order::getAllAmt, (o1, o2)-> o1 == null ? 1 : (o2 == null ? -1 : o2.compareTo(o1))));// 方式三 (allAmt 字段不能為 null, null 會導致排序失敗)orders.sort(Comparator.comparing(Order::getAllAmt).reversed());// 先按照訂單類型排序,再按照訂單應付金額從高到低排序orders.sort(Comparator.comparing(Order::getType, (o1, o2)-> o1 == null ? 1 : (o2 == null ? -1 : o1.compareTo(o2))).thenComparing((o1, o2)-> o1.getPayAmt() == null ? 1 : (o2.getPayAmt() == null ? -1 : o2.getPayAmt().compareTo(o1.getPayAmt()))));
六、統計計數
List<Order> orders = Lists.newArrayList();// 統計所有訂單的總金額// 求和Double sum = orders.stream().filter(item -> item.getAllAmt() != null).mapToDouble(Order::getAllAmt).sum();// 最大總金額OptionalDouble max = orders.stream().filter(item -> item.getAllAmt() != null).mapToDouble(Order::getAllAmt).max();// 防止沒有訂單數據的處理Double maxAllAmt = max.isPresent() ? max.getAsDouble() : 0;// 最小總金額OptionalDouble min = orders.stream().filter(item -> item.getAllAmt() != null).mapToDouble(Order::getAllAmt).min();// 平均總金額OptionalDouble average = orders.stream().filter(item -> item.getAllAmt() != null).mapToDouble(Order::getAllAmt).average();
七、List 轉 List (返回另一個對象)
//聲明一個List集合
List<Student> list = new ArrayList();list.add(new Student("1001", "小A"));list.add(new Student("1001", "小B"));list.add(new Student("1002", "小C"));list.add(new Student("1003", "小D"));//將List轉換List 【不過濾,不去重】
List<Teacher> teacherList = list.stream().map(stu -> {Teacher teacher = new Teacher();teacher.setNo(stu.getNo());teacher.setName(stu.getName());return teacher;}).collect(Collectors.toList());//將List轉換List 【過濾,不去重】
List<Teacher> teacherList2 =list.stream().filter( stu -> StringUtils.isNotBlank(stu.getName()) ).map(stu -> {Teacher teacher = new Teacher();teacher.setNo(stu.getNo());teacher.setName(stu.getName());return teacher;}).collect(Collectors.toList());
八、List 轉 List (返回另一個對象) (多重集合,取里面集合,并合并)
//聲明一個List集合
List<Student> list = new ArrayList(); list.add(new Student("1001", "小A")); list.add(new Student("1001", "小B"));list.add(new Student("1002", "小C"));list.add(new Student("1003", "小D"));
List<Subject> subjectList = new ArrayList<>();Subject subject1 = new Subject();subject1.setId(1);subject1.setStudentList(studentList);subjectList.add(subject1);Subject subject2 = new Subject();subject1.setId(2);subject1.setStudentList(studentList);subjectList.add(subject2);Subject subject3 = new Subject();subject1.setId(3);subject1.setStudentList(studentList);subjectList.add(subject3);//將List轉換List 【flatMap取集合中的集合 再合并】 (本案例:把所有科目下的報名學生,取出來,并合并。注意:學生沒有去重)
List<Student> studentList =subjectList.stream().flatMap( item -> item.getStudentList().stream() ).collect(Collectors.toList());