Java 10: Top 10 Stream API Tricks
Java 10 introduced several enhancements to the Stream API which is part of the java.util.stream package. Here are the top 10 tricks you can use to get the most out of the Stream API.
1. Collecting to Unmodifiable List
In Java 10, you can collect a stream of elements into an unmodifiable list. This is useful when you want to ensure that the data in your list remains constant and cannot be modified.
List<String> list = Stream.of("Java", "Python", "C++")
.collect(Collectors.toUnmodifiableList());
2. Take While
The takeWhile
method is a short-circuiting stateless intermediate operation. It stops processing once the predicate returns false. This is useful when you want to limit the stream to elements that match a given condition.
Stream.of(1, 2, 3, 4, 5)
.takeWhile(n -> n < 4)
.forEach(System.out::println);
3. Drop While
The dropWhile
method is also a short-circuiting stateless intermediate operation. It drops elements until the predicate returns false. This is useful when you want to ignore the elements that match a given condition.
Stream.of(1, 2, 3, 4, 5)
.dropWhile(n -> n < 4)
.forEach(System.out::println);
4. Iterating Streams
In Java 10, the iterate
method has been overloaded to take a predicate (condition). This allows you to create a stream that grows values on demand basis until the predicate returns false.
Stream.iterate(0, i -> i < 10, i -> i + 1)
.forEach(System.out::println);
5. Optional to Stream
Java 10 introduced a new method stream
in the Optional
class. This method returns a sequential Stream containing only that element, otherwise returns an empty Stream.
Optional.of("Hello")
.stream()
.map(String::toUpperCase)
.forEach(System.out::println);
6. Collecting to a Map
You can collect a stream of elements into a map. This is useful when you want to transform your data into a key-value pair.
Map<Integer, String> map = Stream.of("Java", "Python", "C++")
.collect(Collectors.toMap(String::length, Function.identity()));
7. Flat Mapping Optionals
The flatMap
method can be used with Optional::stream
to avoid empty values. This is useful when you want to ignore the empty Optional values in your stream.
Stream.of(Optional.of("Java"), Optional.empty(), Optional.of("Python"))
.flatMap(Optional::stream)
.forEach(System.out::println);
8. Grouping by with downstream collector
You can group elements of the stream by a classifier function and store results in a Map
. This is useful when you want to group your data based on a certain condition or value.
Map<Integer, List<String>> map = Stream.of("Java", "Python", "C++")
.collect(Collectors.groupingBy(String::length));
9. Reducing Stream
The reduce
method combines elements of a stream into a single result. This is useful when you want to aggregate your data.
Optional<String> reduced = Stream.of("J", "a", "v", "a")
.reduce((s1, s2) -> s1 + s2);
10. Parallel Stream
The parallel
method allows you to process elements of a stream in parallel. This is useful when you want to leverage multi-core processors to process your data faster.
Stream.of("Java", "Python", "C++")
.parallel()
.forEach(System.out::println);
These are just a few of the many powerful features available in the Stream API.
Comments
Post a Comment