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Table of Contents
Simulate iterator behavior with Java Stream
Building an asynchronous pipeline using CompleteFuture
Custom coroutine style execution process (advanced)
summary
Home Web Front-end JS Tutorial Exploring JavaScript Generators and Iterators for Streamlined Asynchronous Workflows, a Java Parallel

Exploring JavaScript Generators and Iterators for Streamlined Asynchronous Workflows, a Java Parallel

Jul 22, 2025 am 03:24 AM

Java does not support generators, but iterator behavior can be simulated through the Stream API, such as filter and map to implement data stream processing; use CompletableFuture to combine asynchronous operations, and thenApply chain calls to simulate the gradual output effect of the generator; for more advanced requirements, you can use the Quasar library or pay attention to Project Loom to implement coroutine-style asynchronous process control.

Exploring JavaScript Generators and Iterators for Streamlined Asynchronous Workflows, a Java Parallel

When dealing with asynchronous programming, Java does not natively support language features such as generators and iterators like JavaScript. However, we can simulate similar behavior through some design patterns and libraries, thereby simplifying the writing and maintenance of asynchronous workflows.

Exploring JavaScript Generators and Iterators for Streamlined Asynchronous Workflows, a Java Parallel

Although Java itself does not have the concept of Generator function, through the implementation of Stream API, CompletableFuture and custom coroutine style, we can achieve similar development experience and process control effects to a certain extent.


Simulate iterator behavior with Java Stream

Java's Iterator interface and Iterable interface have actually already possessed the basic "on-demand generation" capability. Combined with Stream API, it can further simulate the iterator-based data stream processing method in JavaScript.

Exploring JavaScript Generators and Iterators for Streamlined Asynchronous Workflows, a Java Parallel
 List<Integer> numbers = List.of(1, 2, 3, 4, 5);
numbers.stream()
       .filter(n -> n % 2 == 0)
       .map(n -> n * 2)
       .forEach(System.out::println);

This code behaves a lot like iterator chain calls in JavaScript:

  • filter is similar to selecting only values that satisfy the condition
  • map transforms every element in the data stream
  • Finally, through forEach consumption results

This approach is suitable for processing sequential data flows, but if asynchronous task scheduling is involved, other mechanisms need to be introduced.

Exploring JavaScript Generators and Iterators for Streamlined Asynchronous Workflows, a Java Parallel

Building an asynchronous pipeline using CompleteFuture

Generators in JavaScript are often used to implement asynchronous process control with Promise, such as using async/await . Although Java does not have yield syntax, CompletableFuture provides the ability to combine multiple asynchronous operations, which can simulate similar effects.

For example:

 CompleteFuture<String> future = CompleteFuture.supplyAsync(() -> "Hello")
    .thenApply(s -> s "World")
    .thenApply(String::toUpperCase)
    .thenApply(s -> s "!");

future.thenAccept(System.out::println); // Output HELLO WORLD!

Here, each .thenApply() is like a stage of gradually producing results, similar to the process of step-by-step yield in JavaScript generator functions.

You can understand it as a kind of "asynchronous iteration", but not every time the next value is returned, but every time an asynchronous step is completed.


Custom coroutine style execution process (advanced)

If you want to be closer to the "pause-continue" semantics of JavaScript generators, consider using third-party libraries or implementing a simple state machine yourself. For example:

  • Project Loom (experimental): This is a lightweight thread (virtual thread) that the JVM may support in the future, which can make asynchronous logic write as natural as synchronous.
  • Quasar : A Java library that supports coroutines and Actor models, allowing you to write concurrent tasks in a generator-like way.

For example, using Quasar can write code in the following pseudo-synchronous style:

 public void asyncTask() throws Exception {
    String result = Fiber.schedule(() -> {
        String data = blockingCall();
        return processData(data);
    }).get();
}

Although this is not a real generator, it implements a process control method that "looks like blocking, actually asynchronous execution".


summary

  • Java does not have a built-in generator, but it can simulate iteration and asynchronous processes with Stream and CompletableFuture
  • For more advanced needs, you can use coroutine library (such as Quasar) or focus on the development of Project Loom
  • The key to an asynchronous process is "phase processing" and "execution on demand", which can be implemented through combined functional programming.

Basically that's it. As long as your thinking is clear, Java can also write asynchronous workflows with clear structure and controllable processes.

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