Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
641 views
in Technique[技术] by (71.8m points)

multithreading - Java Executor with throttling/throughput control

I'm looking for a Java Executor that allows me to specify throttling/throughput/pacing limitations, for example, no more than say 100 tasks can be processed in a second -- if more tasks get submitted they should get queued and executed later. The main purpose of this is to avoid running into limits when hitting foreign APIs or servers.

I'm wondering whether either base Java (which I doubt, because I checked) or somewhere else reliable (e.g. Apache Commons) provides this, or if I have to write my own. Preferably something lightweight. I don't mind writing it myself, but if there's a "standard" version out there somewhere I'd at least like to look at it first.

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

Take a look at guavas RateLimiter:

A rate limiter. Conceptually, a rate limiter distributes permits at a configurable rate. Each acquire() blocks if necessary until a permit is available, and then takes it. Once acquired, permits need not be released. Rate limiters are often used to restrict the rate at which some physical or logical resource is accessed. This is in contrast to Semaphore which restricts the number of concurrent accesses instead of the rate (note though that concurrency and rate are closely related, e.g. see Little's Law).

Its threadsafe, but still @Beta. Might be worth a try anyway.

You would have to wrap each call to the Executor with respect to the rate limiter. For a more clean solution you could create some kind of wrapper for the ExecutorService.

From the javadoc:

 final RateLimiter rateLimiter = RateLimiter.create(2.0); // rate is "2 permits per second"
  void submitTasks(List<Runnable> tasks, Executor executor) {
    for (Runnable task : tasks) {
      rateLimiter.acquire(); // may wait
      executor.execute(task);
    }
  }

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...