package com.iluwatar.halfsynchalfasync; import java.util.concurrent.LinkedBlockingQueue; /** * * This application demonstrates Half-Sync/Half-Async pattern. Key parts of the pattern are * {@link AsyncTask} and {@link AsynchronousService}. * *

* PROBLEM *
* A concurrent system have a mixture of short duration, mid duration and long duration tasks. * Mid or long duration tasks should be performed asynchronously to meet quality of service * requirements. * *

INTENT *
* The intent of this pattern is to separate the the synchronous and asynchronous processing * in the concurrent application by introducing two intercommunicating layers - one for sync * and one for async. This simplifies the programming without unduly affecting the performance. * *

* APPLICABILITY *
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* *

* IMPLEMENTATION *
* The main method creates an asynchronous service which does not block the main thread while * the task is being performed. The main thread continues its work which is similar to Async Method * Invocation pattern. The difference between them is that there is a queuing layer between Asynchronous * layer and synchronous layer, which allows for different communication patterns between both layers. * Such as Priority Queue can be used as queuing layer to prioritize the way tasks are executed. * Our implementation is just one simple way of implementing this pattern, there are many variants possible * as described in its applications. * */ public class App { /** * Program entry point * @param args command line args */ public static void main(String[] args) { AsynchronousService service = new AsynchronousService(new LinkedBlockingQueue<>()); /* * A new task to calculate sum is received but as this is main thread, it should not block. * So it passes it to the asynchronous task layer to compute and proceeds with handling other * incoming requests. This is particularly useful when main thread is waiting on Socket to receive * new incoming requests and does not wait for particular request to be completed before responding * to new request. */ service.execute(new ArithmeticSumTask(1000)); /* New task received, lets pass that to async layer for computation. So both requests will be * executed in parallel. */ service.execute(new ArithmeticSumTask(500)); service.execute(new ArithmeticSumTask(2000)); service.execute(new ArithmeticSumTask(1)); } /** * * ArithmeticSumTask * */ static class ArithmeticSumTask implements AsyncTask { private long n; public ArithmeticSumTask(long n) { this.n = n; } /* * This is the long running task that is performed in background. In our example * the long running task is calculating arithmetic sum with artificial delay. */ @Override public Long call() throws Exception { return ap(n); } /* * This will be called in context of the main thread where some validations can be * done regarding the inputs. Such as it must be greater than 0. It's a small * computation which can be performed in main thread. If we did validated the input * in background thread then we pay the cost of context switching * which is much more than validating it in main thread. */ @Override public void onPreCall() { if (n < 0) { throw new IllegalArgumentException("n is less than 0"); } } @Override public void onPostCall(Long result) { // Handle the result of computation System.out.println(result); } @Override public void onError(Throwable throwable) { throw new IllegalStateException("Should not occur"); } } private static long ap(long i) { try { Thread.sleep(i); } catch (InterruptedException e) { } return (i) * (i + 1) / 2; } }