DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Related

  • How Spring and Hibernate Simplify Web and Database Management
  • Functional Endpoints: Alternative to Controllers in WebFlux
  • Graceful Shutdown: Spring Framework vs Golang Web Services
  • Actuator Enhancements: Spring Framework 6.2 and Spring Boot 3.4

Trending

  • How To Build Resilient Microservices Using Circuit Breakers and Retries: A Developer’s Guide To Surviving
  • Vibe Coding With GitHub Copilot: Optimizing API Performance in Fintech Microservices
  • Developers Beware: Slopsquatting and Vibe Coding Can Increase Risk of AI-Powered Attacks
  • Enforcing Architecture With ArchUnit in Java
  1. DZone
  2. Coding
  3. Frameworks
  4. java.util.concurrent.Future Basics

java.util.concurrent.Future Basics

Futures are very important abstraction, even more these day than ever due to growing demand for asynchronous, event-driven, parallel and scalable systems.

By 
Tomasz Nurkiewicz user avatar
Tomasz Nurkiewicz
DZone Core CORE ·
Feb. 18, 13 · Tutorial
Likes (26)
Comment
Save
Tweet
Share
170.4K Views

Join the DZone community and get the full member experience.

Join For Free

Hereby I am starting a series of articles about future concept in programming languages (also known as promises or delays) with a working title: Back to the Future. Futures are very important abstraction, even more these day than ever due to growing demand for asynchronous, event-driven, parallel and scalable systems. In the first article we'll discover most basic java.util.concurrent.Future<T> interface. Later on we will jump into other frameworks, libraries or even languages. Future<T> is pretty limited, but essential to understand, ekhm, future parts.

In a single-threaded application when you call a method it returns only when the computations are done (IOUtils.toString() comes from Apache Commons IO):

public String downloadContents(URL url) throws IOException {
    try(InputStream input = url.openStream()) {
        return IOUtils.toString(input, StandardCharsets.UTF_8);
    }
}

//...

final String contents = downloadContents(new URL("http://www.example.com"));

downloadContents() looks harmless1, but it can take even arbitrary long time to complete. Moreover in order to reduce latency you might want to do other, independent processing in the meantime, while waiting for results. In the old days you would start a new Thread and somehow wait for results (shared memory, locks, dreadful wait()/notify() pair, etc.) With Future<T> it's much more pleasant:

public static Future<String> startDownloading(URL url) {
    //...
}

final Future<String> contentsFuture = startDownloading(new URL("http://www.example.com"));
//other computation
final String contents = contentsFuture.get();

We will implement startDownloading() soon. For now it's important that you understand the principles. startDownloading() does not block, waiting for external website. Instead it returns immediately, returning a lightweight Future<String> object. This object is a promise that String will be available in the future. Don't know when, but keep this reference and once it's there, you'll be able to retrieve it using Future.get(). In other words Future is a proxy or a wrapper around an object that is not yet there. Once the asynchronous computation is done, you can extract it. So what API does Future provide?

Future.get() is the most important method. It blocks and waits until promised result is available (resolved). So if we really need that String, just call get() and wait. There is an overloaded version that accepts timeout so you won't wait forever if something goes wild. TimeoutException is thrown if waiting for too long.

In some use cases you might want to peek on the Future and continue if result is not yet available. This is possible with isDone(). Imagine a situation where your user waits for some asynchronous computation and you'd like to let him know that we are still waiting and do some computation in the meantime:

final Future<String> contentsFuture = startDownloading(new URL("http://www.example.com"));
while (!contentsFuture.isDone()) {
    askUserToWait();
    doSomeComputationInTheMeantime();
}
contentsFuture.get();

The last call to contentsFuture.get() is guaranteed to return immediately and not block because Future.isDone() returned true. If you follow the pattern above make sure you are not busy waiting, calling isDone() millions of time per second.

Cancelling futures is the last aspect we have not covered yet. Imagine you started some asynchronous job and you can only wait for it given amount of time. If it's not there after, say, 2 seconds, we give up and either propagate error or work around it. However if you are a good citizen, you should somehow tell this future object: I no longer need you, forget about it. You save processing resources by not running obsolete tasks. The syntax is simple:

contentsFuture.cancel(true);    //meh...

We all love cryptic, boolean parameters, aren't we? Cancelling comes in two flavours. By passing false to mayInterruptIfRunning parameter we only cancel tasks that didn't yet started, when the Future represents results of computation that did not even began. But if our Callable.call() is already in the middle, we let it finish. However if we pass true, Future.cancel() will be more aggressive, trying to interrupt already running jobs as well. How? Think about all these methods that throw infamous InterruptedException, namely Thread.sleep(), Object.wait(), Condition.await(), and many others (including Future.get()). If you are blocking on any of such methods and someone decided to cancel your Callable, they will actually throw InterruptedException, signalling that someone is trying to interrupt currently running task.


So we now understand what

Future<T>

is - a place-holder for something, that you will get in the future. It's like keys to a car that was not yet manufactured. But how do you actually obtain an instance of

Future<T>

in your application? Two most common sources are thread pools and asynchronous methods (backed by thread pools for you). Thus our

startDownloading()

method can be rewritten to:

private final ExecutorService pool = Executors.newFixedThreadPool(10);

public Future<String> startDownloading(final URL url) throws IOException {
    return pool.submit(new Callable<String>() {
        @Override
        public String call() throws Exception {
            try (InputStream input = url.openStream()) {
                return IOUtils.toString(input, StandardCharsets.UTF_8);
            }
        }
    });
}

A lot of syntax boilerplate, but the basic idea is simple: wrap long-running computations in

Callable<String>

and

submit()

them to a thread pool of 10 threads. Submitting returns some implementation of

Future<String>

, most likely somehow linked to your task and thread pool. Obviously your task is not executed immediately. Instead it is placed in a queue which is later (maybe even much later) polled by thread from a pool. Now it should be clear what these two flavours of

cancel()

mean - you can always cancel task that still resides in that queue. But cancelling already running task is a bit more complex.


Another place where you can meet

Future

is Spring and EJB. For example in Spring framework you can simply annotate your method with @Async:

@Async
public Future<String> startDownloading(final URL url) throws IOException {
    try (InputStream input = url.openStream()) {
        return new AsyncResult<>(
                IOUtils.toString(input, StandardCharsets.UTF_8)
        );
    }
}


Notice that we simply wrap our result in AsyncResult implementing

Future

. But the method itself does not deal with thread pool or asynchronous processing. Later on Spring will proxy all calls to

startDownloading()

and run them in a thread pool. The exact same feature is available through @Asynchronous annotation in EJB.


So we learned a lot about

java.util.concurrent.Future

. Now it's time to admit - this interface is quite limited, especially when compared to other languages. More on that later.


1 - are you unfamiliar with try-with-resources feature of Java 7? You'll better switch to Java 7 now. Java 6 will no longer be maintained in two weeks.





Spring Framework

Published at DZone with permission of Tomasz Nurkiewicz, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • How Spring and Hibernate Simplify Web and Database Management
  • Functional Endpoints: Alternative to Controllers in WebFlux
  • Graceful Shutdown: Spring Framework vs Golang Web Services
  • Actuator Enhancements: Spring Framework 6.2 and Spring Boot 3.4

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!