转自:https://blog.csdn.net/gsls200808/article/details/86501905
java8的lambda表达式提供了一些方便list操作的方法,主要涵盖分组、过滤、求和、最值、排序、去重。跟之前的传统写法对比,能少写不少代码。
新建实体类
package com.vvvtimes.vo; import java.math.BigDecimal; import java.util.Date; public class User { private Long id; //姓名 private String name; //年龄 private int age; //工号 private String jobNumber; //性别 private String sex; //入职日期 private Date entryDate; //家庭成员数量 private BigDecimal familyMemberQuantity; public Long getId() { return id; } public void setId(Long id) { this.id = id; } public String getName() { return name; } public void setName(String name) { this.name = name; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } public String getJobNumber() { return jobNumber; } public void setJobNumber(String jobNumber) { this.jobNumber = jobNumber; } public String getSex() { return sex; } public void setSex(String sex) { this.sex = sex; } public Date getEntryDate() { return entryDate; } public void setEntryDate(Date entryDate) { this.entryDate = entryDate; } public BigDecimal getFamilyMemberQuantity() { return familyMemberQuantity; } public void setFamilyMemberQuantity(BigDecimal familyMemberQuantity) { this.familyMemberQuantity = familyMemberQuantity; } }
1.分组
通过groupingBy可以分组指定字段
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//分组
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Map<String, List<User>> groupBySex = userList.stream().collect(Collectors.groupingBy(User::getSex));
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//遍历分组
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for (Map.Entry<String, List<User>> entryUser : groupBySex.entrySet()) {
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String key = entryUser.getKey();
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List<User> entryUserList = entryUser.getValue();
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}
多字段分组
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Function<WarehouseReceiptLineBatch, List<Object>> compositeKey = wlb ->
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Arrays.<Object>asList(wlb.getWarehouseReceiptLineId(), wlb.getWarehouseAreaId(), wlb.getWarehouseLocationId());
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Map<Object, List<WarehouseReceiptLineBatch>> map =
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warehouseReceiptLineBatchList.stream().collect(Collectors.groupingBy(compositeKey, Collectors.toList()));
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//遍历分组
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for (Map.Entry<Object, List<WarehouseReceiptLineBatch>> entryUser : map.entrySet()) {
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List<Object> key = (List<Object>) entryUser.getKey();
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List<WarehouseReceiptLineBatch> entryUserList = entryUser.getValue();
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Long warehouseReceiptLineId = (Long) key.get(0);
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Long warehouseAreaId = (Long) key.get(0);
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Long warehouseLocationId = (Long) key.get(0);
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}
2.过滤
通过filter方法可以过滤某些条件
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//过滤
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//排除掉工号为201901的用户
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List<User> userCommonList = userList.stream().filter(a -> !a.getJobNumber().equals("201901")).collect(Collectors.toList());
3.求和
分基本类型和大数类型求和,基本类型先mapToInt,然后调用sum方法,大数类型使用reduce调用BigDecimal::add方法
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//求和
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//基本类型
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int sumAge = userList.stream().mapToInt(User::getAge).sum();
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//BigDecimal求和
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BigDecimal totalQuantity = userList.stream().map(User::getFamilyMemberQuantity).reduce(BigDecimal.ZERO, BigDecimal::add);
上面的求和不能过滤bigDecimal对象为null的情况,可能会报空指针,这种情况,我们可以用filter方法过滤,或者重写求和方法
重写求和方法
package com.vvvtimes.util; import java.math.BigDecimal; public class BigDecimalUtils { public static BigDecimal ifNullSet0(BigDecimal in) { if (in != null) { return in; } return BigDecimal.ZERO; } public static BigDecimal sum(BigDecimal ...in){ BigDecimal result = BigDecimal.ZERO; for (int i = 0; i < in.length; i++){ result = result.add(ifNullSet0(in[i])); } return result; } }
使用重写的方法
BigDecimal totalQuantity2 = userList.stream().map(User::getFamilyMemberQuantity).reduce(BigDecimal.ZERO, BigDecimalUtils::sum);
判断对象空
stream.filter(x -> x!=null)
stream.filter(Objects::nonNull)
判断字段空
stream.filter(x -> x.getDateTime()!=null)
4.最值
求最小与最大,使用min max方法
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//最小
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Date minEntryDate = userList.stream().map(User::getEntryDate).min(Date::compareTo).get();
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//最大
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Date maxEntryDate = userList.stream().map(User::getEntryDate).max(Date::compareTo).get();
有时候我们需要知道最大最小对应的这个对象,我们可以通过如下方法获取
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Comparator<LeasingBusinessContract> comparator = Comparator.comparing(LeasingBusinessContract::getLeaseEndDate);
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LeasingBusinessContract maxObject = leasingBusinessContractList.stream().max(comparator).get();
5.List 转map
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/**
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* List -> Map
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* 需要注意的是:
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* toMap 如果集合对象有重复的key,会报错Duplicate key ....
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* user1,user2的id都为1。
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* 可以用 (k1,k2)->k1 来设置,如果有重复的key,则保留key1,舍弃key2
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*/
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Map<Long, User> userMap = userList.stream().collect(Collectors.toMap(User::getId, a -> a,(k1,k2)->k1));
list转map的时候有时候会将date类型作为key,实际情况中使用string的多,我们可以将某个字段转成string
Map<String, WorkCenterLoadVo> workCenterMap = list.stream().collect(Collectors.toMap(key->DateFormatUtils.format(key.getDate(), "yyyy-MM-dd"), a -> a,(k1,k2)->k1));
6.排序
可通过Sort对单字段多字段排序
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//排序
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//单字段排序,根据id排序
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userList.sort(Comparator.comparing(User::getId));
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//多字段排序,根据id,年龄排序
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userList.sort(Comparator.comparing(User::getId).thenComparing(User::getAge));
7.去重
可通过distinct方法进行去重
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//去重
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List<Long> idList = new ArrayList<Long>();
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idList.add(1L);
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idList.add(1L);
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idList.add(2L);
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List<Long> distinctIdList = idList.stream().distinct().collect(Collectors.toList());
针对属性去重
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List<AddOutboundNoticeDetailsBatchVo> entryDetailsBatchDistinctBatchIdList = entryDetailsBatchList.stream().filter(distinctByKey(b -> b.getMaterialBatchNumberId())).collect(Collectors.toList());
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//distinctByKey自己定义
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public static <T> Predicate<T> distinctByKey(Function<? super T, Object> keyExtractor) {
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Map<Object, Boolean> seen = new ConcurrentHashMap<>();
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return t -> seen.putIfAbsent(keyExtractor.apply(t), Boolean.TRUE) == null;
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}
8.获取list某个字段组装新list
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//获取list对象的某个字段组装成新list
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List<Long> userIdList = userList.stream().map(a -> a.getId()).collect(Collectors.toList());
9.批量设置list列表字段为同一个值
addList.stream().forEach(a -> a.setDelFlag("0"));
10.不同实体的list拷贝
List<TimePeriodDate> timePeriodDateList1 = calendarModelVoList.stream().map(p->{TimePeriodDate e = new TimePeriodDate(); e.setStartDate(p.getBegin());e.setEndDate(p.getEnd()); return e;}).collect(Collectors.toList());