本文列举了十个使用一行代码即可独立完成(不依赖其他代码)的业务逻辑,主要依赖的是Java8中的Lambda和Stream等新特性以及try-with-resources、JAXB等。
// Range是半开区间 int[] ia = range(1, 10).map(i -> i * 2).toArray(); List<Integer> result = range(1, 10).map(i -> i * 2).boxed().collect(toList());
range(1, 1000).sum(); range(1, 1000).reduce(0, Integer::sum); Stream.iterate(0, i -> i + 1).limit(1000).reduce(0, Integer::sum); IntStream.iterate(0, i -> i + 1).limit(1000).reduce(0, Integer::sum);
final List<String> keywords = Arrays.asList("brown", "fox", "dog", "pangram"); final String tweet = "The quick brown fox jumps over a lazy dog. #pangram http://www.rinkworks.com/words/pangrams.shtml"; keywords.stream().anyMatch(tweet::contains); keywords.stream().reduce(false, (b, keyword) -> b || tweet.contains(keyword), (l, r) -> l || r);
try (BufferedReader reader = new BufferedReader(new FileReader("data.txt"))) { String fileText = reader.lines().reduce("", String::concat); } try (BufferedReader reader = new BufferedReader(new FileReader("data.txt"))) { List<String> fileLines = reader.lines().collect(toCollection(LinkedList<String>::new)); } try (Stream<String> lines = Files.lines(new File("data.txt").toPath(), Charset.defaultCharset())) { List<String> fileLines = lines.collect(toCollection(LinkedList<String>::new)); }
range(1, 5).boxed().map(i -> { out.print("Happy Birthday "); if (i == 3) return "dear NAME"; else return "to You"; }).forEach(out::println);
Map> result = Stream.of(49, 58, 76, 82, 88, 90).collect(groupingBy(forPredicate(i -> i > 60, "passed", "failed")));
FeedType feed = JAXB.unmarshal(new URL("http://search.twitter.com/search.atom?&q=java8"), FeedType.class); JAXB.marshal(feed, System.out);
int min = Stream.of(14, 35, -7, 46, 98).reduce(Integer::min).get(); min = Stream.of(14, 35, -7, 46, 98).min(Integer::compare).get(); min = Stream.of(14, 35, -7, 46, 98).mapToInt(Integer::new).min(); int max = Stream.of(14, 35, -7, 46, 98).reduce(Integer::max).get(); max = Stream.of(14, 35, -7, 46, 98).max(Integer::compare).get(); max = Stream.of(14, 35, -7, 46, 98).mapToInt(Integer::new).max();
long result = dataList.parallelStream().mapToInt(line -> processItem(line)).sum();
List<Album> albums = Arrays.asList(unapologetic, tailgates, red); //筛选出至少有一个track评级4分以上的专辑,并按照名称排序后打印出来。 albums.stream() .filter(a -> a.tracks.stream().anyMatch(t -> (t.rating >= 4))) .sorted(comparing(album -> album.name)) .forEach(album -> System.out.println(album.name)); //合并所有专辑的track List<Track> allTracks = albums.stream() .flatMap(album -> album.tracks.stream()) .collect(toList()); //根据track的评分对所有track分组 Map<Integer, List<Track>> tracksByRating = allTracks.stream() .collect(groupingBy(Track::getRating));