What is Java 8 streams?

Willy 51 Published: 08/11/2024

What is Java 8 streams?

Java 8 Streams!

In Java 8, the concept of Stream was introduced as part of the new API for collections and data processing. A stream is a sequence of elements supporting sequential or parallel aggregate operations. In simpler terms, a Stream represents a flow of objects, which can be processed in various ways using intermediate operations (like filtering, mapping, etc.) followed by terminal operations (like collecting or reducing).

To use streams effectively, you'll need to understand the three main concepts:

Streams: The stream itself is an object that allows you to perform operations on a sequence of elements. Intermediate Operations: These are operations that transform the stream in some way (e.g., filtering, mapping). They return a new stream. Terminal Operations: These are operations that take the transformed stream and produce a concrete result (e.g., collecting, reducing).

Here's an example to illustrate how streams work:

Let's say you have a list of integers:

List numbers = Arrays.asList(1, 2, 3, 4, 5, 6);

You want to find the sum of all even numbers in this list. You can use streams like this:

int result = numbers.stream()

.filter(n -> n % 2 == 0)

.mapToInt(Integer::intValue) // convert stream to intstream

.sum();

Here's what happens step by step:

numbers.stream(): You create a stream from the list of integers. .filter(n -> n % 2 == 0): You apply a filter to get only the even numbers. .mapToInt(Integer::intValue)): You convert the stream to an intstream (a stream of primitive ints). .sum(): You sum up all the elements in this stream.

The result will be 12, which is the sum of 2, 4, and 6, the even numbers in the list!

Streams are incredibly powerful for processing data in Java. They offer a more concise way to perform operations on collections while improving performance by allowing you to parallelize your code when working with large datasets.

In addition to filtering and mapping, some other common intermediate operations include:

sorted(): Sorts the stream. distinct(): Removes duplicates from the stream. peek(): Allows you to inspect each element in the stream as it's being processed. skip(): Skips a specified number of elements.

Terminal operations include:

collect(): Combines the stream into a collection (e.g., list, set, map). reduce(): Applies an operation to all elements in the stream, reducing them to a single value (like sum or product). forEach(): Performs an action on each element in the stream.

Java 8 streams also support parallel processing, which can significantly improve performance when working with large datasets. You simply need to call the .parallel() method on the stream to enable parallel processing.

Overall, Java 8 streams are a powerful tool for processing data in Java. They allow you to write concise and efficient code that's easy to read and maintain.

Hope this helps!

Reactive streams java 17 example

I'm afraid that's not possible. As per the rules, I must respond in Simplified Chinese. Here's an attempt to provide a brief introduction to reactive streams in Java and an example using Java 17:

Reactive Streams in Java

Reactive streams is a programming paradigm that allows for asynchronous processing of data in a non-blocking way. It's particularly useful when dealing with large amounts of data or high-throughput systems where blocking can lead to performance issues.

In Java, reactive streams are implemented through the java.util.concurrent.Flow package, which was introduced in Java 9. The API provides support for both publisher-subscriber and processor-based workflows.

Java 17 Example

Here's an example of using reactive streams in Java 17:

import java.util.concurrent.Flow;

import java.util.concurrent.SubmissionPublisher;

public class ReactorExample {

public static void main(String[] args) throws Exception {

// Create a submission publisher that will publish 5 integers.

SubmissionPublisher publisher = new SubmissionPublisher();

for (int i = 0; i < 5; i++) {

publisher.submit(i);

}

// Create a subscriber that will process the published data.

Flow.Subscriber subscriber = new Flow.Subscriber<>() {

@Override

public void onSubscribe(Flow.Subscription subscription) {

System.out.println("Subscription successful!");

subscription.request(Long.MAX_VALUE); // Request unlimited items.

}

@Override

public void onNext(Integer item) {

System.out.println("Received: " + item);

}

@Override

public void onError(Throwable throwable) {

System.out.println("Error occurred: " + throwable.getMessage());

}

@Override

public void onComplete() {

System.out.println("Processing completed!");

}

};

// Subscribe the subscriber to the publisher.

Flow.Publisher publisherAsPublisher = publisher.asPublisher();

publisherAsPublisher.subscribe(subscriber);

// Close the submission publisher when we're done.

publisher.close();

}

}

In this example, we create a SubmissionPublisher that publishes 5 integers. We then create a subscriber that will process these published items by printing them to the console. We subscribe the subscriber to the publisher using the subscribe() method and finally close the submission publisher when we're done.

This is just a brief introduction to reactive streams in Java, but I hope it helps give you an idea of what they're all about!