两个List集合过滤并根据比较找出差集,并将差集归类为List List changeBetLimitList = list.stream().filter(item -> item.getSingleOrderMinStake() < oldData.getSingleOrderMinStake()).collect(Collectors.toList())

List转Map Map oldBetLimitMap = oldBetLimitList.stream().collect(Collectors.toMap(BetLimit::getId, o -> o))

List提取属性放入List List betItemIdList = list.stream().map(Order::getBetItemId).distinct().collect(Collectors.toList());

List通过join,转字符串 String inIds = accountIdList.stream().map(i -> i.toString()).collect(Collectors.joining(","));

List group by Map>

Map> groupByPriceMap=items.stream().collect(Collectors.groupingBy(Item::getPrice));

List 多属性分组group by Map>

Map>> amp                            = docLotDetailLists.parallelStream().collect(Collectors.groupingBy(DocLotDetail::getGroupOrder,Collectors.groupingBy(DocLotDetail::getBaseValueName)));

List 多属性唯一分组Map> Map> percentDistributionLotteryMap =

percentDistributionList.stream().collect

(Collectors.groupingBy(PercentDistribution::getAccountId, Collectors.toMap

(PercentDistribution::getLotteryCode, o -> o)));

8.BigDecimal求和

int totalBetStake = list.stream().map(Order::getBetStake).reduce(BigDecimal.ZERO,

BigDecimal::add)

.intValue();

9.groupBy转换Map类型

Map> dateOrderMap = orderList.stream().collect(Collectors.groupingBy(Order::getReportDate,

LinkedHashMap::new, Collectors.toList()));

10.List中对象多个属性求和,并返原对象

A a = list.stream() .reduce((x , y) -> new A( (x.getPrincipal() + y.getPrincipal()), (x.getFee() + y.getFee()) ) ).orElse( new A(0, 0) );

11.groupby 按某个属性分组,并收集为一个属性集合

Map> collect = list.stream().collect(Collectors.groupingBy(record -> record

.getInt("accountId"), Collectors.mapping(record -> record.getInt("permissionId"), Collectors.toList())