import lombok.extern.slf4j.Slf4j;import java.util.Arrays;import java.util.Comparator;import java.util.List;import java.util.Optional;import java.util.stream.Collectors;/** * @Author weijun.nie * @Date 2020/5/26 10:35 * @Version 1.0 */@Slf4jpublic class TranTestDemo {    public static void main(String[] args) {        Trader niuj = new Trader("nj牛进", "上海");        Trader maik = new Trader("mk买康", "香港");        Trader niuf = new Trader("nf牛发", "上海");        Trader jiny = new Trader("jy靳扬", "上海");        List<Transaction> transactions = Arrays.asList(                new Transaction(jiny, 2011, 300),                new Transaction(niuj, 2012, 1000),                new Transaction(niuj, 2011, 400),                new Transaction(maik, 2012, 710),                new Transaction(maik, 2012, 700),                new Transaction(niuf, 2012, 950)        );        // (1) 找出2011年发生的所有交易,并按交易额排序(从低到高)。        // (1-1). 打印        log.info("======================遍历打印1===============================");        transactions.stream().filter(t -> 2011 == t.getYear()).sorted((t1, t2) -> Integer.valueOf(t1.getValue()).compareTo(Integer.valueOf(t2.getValue()))).forEach(System.out::println);        log.info("======================遍历打印2===============================");        transactions.stream().filter(t -> 2011 == t.getYear()).sorted(Comparator.comparingInt(Transaction::getValue)).forEach(System.out::println);        log.info("======================遍历打印3===============================");        transactions.stream().filter(t -> 2011 == t.getYear()).sorted(Comparator.comparing(Transaction::getValue)).forEach(System.out::println);        log.info("======================返回集合===============================");        // (1-2). 返回List<Transaction>        List<Transaction> result1List = transactions.stream().filter(t -> 2011 == t.getYear()).sorted(Comparator.comparingInt(Transaction::getValue)).collect(Collectors.toList());        log.info("找出2011年发生的所有交易,并按交易额排序(从低到高):\t{}", result1List);        // (2) 交易员都在哪些不同的城市工作过?        log.info("=====================================================");        List<String> cities = transactions.stream().map(t -> t.getTrader().getCity()).distinct().collect(Collectors.toList());        log.info("交易员都在哪些不同的城市工作过:\t{}", cities);        // (3) 查找所有来自于上海的交易员,并按姓名排序。        log.info("=====================================================");        List<Trader> SHTradersSorted = transactions.stream().map(Transaction::getTrader).filter(t -> t.getCity().equals("上海")).sorted(Comparator.comparing(Trader::getName)).collect(Collectors.toList());        log.info("查找所有来自于上海的交易员,并按姓名排序:\t{}", SHTradersSorted);        // (4) 返回所有交易员的姓名字符串,按字母顺序排序。        log.info("=====================================================");        List<String> traderNamesList = transactions.stream().map(t -> t.getTrader().getName()).distinct().sorted().collect(Collectors.toList());        log.info("返回所有交易员的姓名字符串,按字母顺序排序:\t{}", traderNamesList);        // (5) 有没有交易员是在北京工作的?        log.info("=====================================================");        boolean hasInBeijing = transactions.stream().filter(t -> t.getTrader().getCity().equals("北京")).findAny().isPresent();        log.info("有没有交易员是在北京工作的:{}", hasInBeijing);        // (6) 打印生活在上海的交易员的所有交易额。        log.info("=====================================================");        List<Integer> valuesInShanghai = transactions.stream().filter(t -> t.getTrader().getCity().equals("上海")).map(t -> t.getValue()).collect(Collectors.toList());        log.info("打印生活在上海的交易员的所有交易额:\t{}", valuesInShanghai);        // (7) 所有交易中,最高的交易额是多少?        log.info("=====================================================");        Optional<Integer> max = transactions.stream().map(t -> t.getValue()).max(Comparator.comparingInt(Integer::intValue));        log.info("所有交易中,最高的交易额是多少\t{}", max.get());        // (8) 找到交易额最小的交易。        log.info("=====================================================");        Transaction minTransanction = transactions.stream().collect(Collectors.minBy(Comparator.comparing(t -> t.getValue()))).get();        log.info("找到交易额最小的交易\t:{}", minTransanction);    }}

======================遍历打印1===============================
{Trader{name='jy靳扬', city='上海'}, year: 2011, value:300}
{Trader{name='nj牛进', city='上海'}, year: 2011, value:400}
======================遍历打印2===============================
{Trader{name='jy靳扬', city='上海'}, year: 2011, value:300}
{Trader{name='nj牛进', city='上海'}, year: 2011, value:400}
======================遍历打印3===============================
{Trader{name='jy靳扬', city='上海'}, year: 2011, value:300}
{Trader{name='nj牛进', city='上海'}, year: 2011, value:400}
======================返回集合===============================

找出2011年发生的所有交易,并按交易额排序(从低到高): [{Trader{name='jy靳扬', city='上海'}, year: 2011, value:300}, {Trader{name='nj牛进', city='上海'}, year: 2011, value:400}]

交易员都在哪些不同的城市工作过: [上海, 香港]

查找所有来自于上海的交易员,并按姓名排序: [Trader{name='jy靳扬', city='上海'}, Trader{name='nf牛发', city='上海'}, Trader{name='nj牛进', city='上海'}, Trader{name='nj牛进', city='上海'}]

返回所有交易员的姓名字符串,按字母顺序排序: [jy靳扬, mk买康, nf牛发, nj牛进]

有没有交易员是在北京工作的:false

打印生活在上海的交易员的所有交易额: [300, 1000, 400, 950]

所有交易中,最高的交易额是多少 1000

找到交易额最小的交易 :{Trader{name='jy靳扬', city='上海'}, year: 2011, value:300}