Stream流分組，統計，求和

public class Test {

public static void main(String[] args) {
List<OrdersDO> list = new ArrayList<>();//查詢昨天一天的所有交易
OrdersDO o1 = new OrdersDO();
o1.setAppId(1L);
o1.setTradeAmount(100L);
o1.setStatus(1);
list.add(o1);
OrdersDO o2 = new OrdersDO();
o2.setAppId(5L);
o2.setTradeAmount(300L);
o2.setStatus(2);
list.add(o2);
OrdersDO o3 = new OrdersDO();
o3.setAppId(1L);
o3.setTradeAmount(100L);
o3.setStatus(3);
list.add(o3);
OrdersDO o4 = new OrdersDO();
o4.setAppId(5L);
o4.setTradeAmount(300L);
o4.setStatus(4);
list.add(o4);
OrdersDO o5 = new OrdersDO();
o5.setAppId(5L);
o5.setTradeAmount(300L);
o5.setStatus(4);
list.add(o5);
//統計每個應用實際支付總額
Map<Long, Long> tradeAmountMap = list.stream().filter(o->o.getStatus()==2)
.collect(Collectors.groupingBy(OrdersDO::getAppId,
Collectors.summingLong(OrdersDO::getTradeAmount)));
System.out.println(tradeAmountMap);

//統計每個應用取消總額
Map<Long, Long> cancelAmountMap = list.stream()
.collect(Collectors.groupingBy(OrdersDO::getAppId,
Collectors.summingLong(OrdersDO::getTradeAmount)));
System.out.println(cancelAmountMap);

//統計每個應用下交易筆數
Map<Long, Long> appTradeNum = list.stream().collect(Collectors.groupingBy(OrdersDO::getAppId, Collectors.counting()));
System.out.println(appTradeNum);

//統計每個應用每種狀態下交易筆數
Map<Long, Map<Integer, Long>> tradeNumMap = list.stream().
collect(Collectors.groupingBy(OrdersDO::getAppId,
Collectors.groupingBy(OrdersDO::getStatus,
Collectors.counting())));
System.out.println(tradeNumMap);

//每個應用下交易筆數按數量排序
Map<Long,Long> finalMap = new LinkedHashMap<>();
appTradeNum.entrySet().stream().sorted(Map.Entry.<Long, Long>comparingByValue().reversed()).forEachOrdered(e->finalMap.put(e.getKey(),e.getValue()));
System.out.println(finalMap);
}
}