Java8 lambda表达式
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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。
实体类
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
//分组
Map<String, List<User>> groupBySex = userList.stream().collect(Collectors.groupingBy(User::getSex));
//遍历分组
for (Map.Entry<String, List<User>> entryUser : groupBySex.entrySet())
String key = entryUser.getKey();
List<User> entryUserList = entryUser.getValue();
多字段分组
Function<WarehouseReceiptLineBatch, List<Object>> compositeKey = wlb ->
Arrays.<Object>asList(wlb.getWarehouseReceiptLineId(), wlb.getWarehouseAreaId(), wlb.getWarehouseLocationId());
Map<Object, List<WarehouseReceiptLineBatch>> map =
warehouseReceiptLineBatchList.stream().collect(Collectors.groupingBy(compositeKey, Collectors.toList()));
//遍历分组
for (Map.Entry<Object, List<WarehouseReceiptLineBatch>> entryUser : map.entrySet())
List<Object> key = (List<Object>) entryUser.getKey();
List<WarehouseReceiptLineBatch> entryUserList = entryUser.getValue();
Long warehouseReceiptLineId = (Long) key.get(0);
Long warehouseAreaId = (Long) key.get(0);
Long warehouseLocationId = (Long) key.get(0);
2.过滤
通过filter方法可以过滤某些条件
//过滤
//排除掉工号为201901的用户
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
//求和
//基本类型
int sumAge = userList.stream().mapToInt(User::getAge).sum();
//BigDecimal求和
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
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
//最小
Date minEntryDate = userList.stream().map(User::getEntryDate).min(Date::compareTo).get();
//最大
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
Comparator<LeasingBusinessContract> comparator = Comparator.comparing(LeasingBusinessContract::getLeaseEndDate);
LeasingBusinessContract maxObject = leasingBusinessContractList.stream().max(comparator).get();
5.List 转map
/**
* List -> Map
* 需要注意的是:
* toMap 如果集合对象有重复的key,会报错Duplicate key ....
* user1,user2的id都为1。
* 可以用 (k1,k2)->k1 来设置,如果有重复的key,则保留key1,舍弃key2
*/
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
//排序
//单字段排序,根据id排序
userList.sort(Comparator.comparing(User::getId));
//多字段排序,根据id,年龄排序
userList.sort(Comparator.comparing(User::getId).thenComparing(User::getAge));
7.去重
可通过distinct方法进行去重
//去重
List<Long> idList = new ArrayList<Long>();
idList.add(1L);
idList.add(1L);
idList.add(2L);
List<Long> distinctIdList = idList.stream().distinct().collect(Collectors.toList());
针对属性去重
List<AddOutboundNoticeDetailsBatchVo> entryDetailsBatchDistinctBatchIdList = entryDetailsBatchList.stream().filter(distinctByKey(b -> b.getMaterialBatchNumberId())).collect(Collectors.toList());
//distinctByKey自己定义
public static <T> Predicate<T> distinctByKey(Function<? super T, Object> keyExtractor)
Map<Object, Boolean> seen = new ConcurrentHashMap<>();
return t -> seen.putIfAbsent(keyExtractor.apply(t), Boolean.TRUE) == null;
8.获取list某个字段组装新list
//获取list对象的某个字段组装成新list
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());
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