of()接收數組並創建流,然後map()將每個元素都獲取平方,distinct()去重,再使用collect()將流中的元素變成List
@Test
public void mapTest(){
List<Integer> squaresList = Stream.of(3, 2, 2, 3, 7, 3, 5)
.map(e -> e*e)
.distinct()
.collect(Collectors.toList());
}
Collection可使用stream()獲取流,filter()過濾出空字符串,count()計數
@Test
public void filerTest(){
List<String> stringList = Arrays.asList("abc", "d", "ef", "ghi", "","123", "bcd","");
long count = stringList.stream().filter(string -> string.isEmpty()).count();
// 2
}
filter()過濾出非空字符串,skip()過濾掉前三個,並使用逗號間隔生成String
@Test
public void collectTest(){
List<String> stringList = Arrays.asList("abc", "d", "ef", "ghi", "","123", "bcd","");
String mergedString = stringList.stream().filter(string -> !string.isEmpty()).skip(3).collect(Collectors.joining(", "));
// ghi, 123, bcd
}
一些產生統計結果的收集器也非常有用。
它們主要用於int、double、long等基本類型上,它們可以用來產生類似如下的統計結果。
@Test
public void statTest(){
List<Integer> numbers = Arrays.asList(3, 2, 2, 3, 7, 3, 5);
IntSummaryStatistics stats = numbers.stream().mapToInt((x) -> x).summaryStatistics();
System.out.println("列表中最大的數 : " + stats.getMax());//7
System.out.println("列表中最小的數 : " + stats.getMin());//2
System.out.println("所有數之和 : " + stats.getSum());//25
System.out.println("平均數 : " + stats.getAverage());//3.5714285714285716
}
並行執行,順序可能會與原來的順序不同。
filter()過濾出非空字符串,limit()過濾出前兩個
@Test
public void parallelStreamTest(){
List<String> stringList = Arrays.asList("abc", "d", "ef", "ghi", "","123", "bcd","");
stringList = stringList.parallelStream().filter(string -> !string.isEmpty()).limit(2).collect(Collectors.toList());
// [abc, d]
}
合併兩條未關閉的流,如果有個流先使用count(),collect()或forEach(),就會關閉流,那麼合併時會報錯
stream has already been operated upon or closed
@Test
public void concatTest(){
Stream<Integer> stream1 = Stream.of(1,2,3);
Stream<Integer> stream2 = Stream.of(4,5,6);
// 4,5,6,
Stream.concat(stream1, stream2).filter(e -> e > 3).forEach(e -> System.out.print(e + ","));
}