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package com.pdd.pop.ext.glassfish.grizzly.threadpool;

import java.util.concurrent.BlockingQueue;
import java.util.concurrent.RejectedExecutionException;
import com.pdd.pop.ext.glassfish.grizzly.utils.DataStructures;

/**
 * Minimalistic fixed thread pool to allow for nice scalability if a
 * good Queue impl is used.
 *
 * @author gustav trede
 */
public class FixedThreadPool extends AbstractThreadPool {

    protected final BlockingQueue workQueue;

    public FixedThreadPool(ThreadPoolConfig config) {
        super(config);

        this.workQueue = config.getQueue() != null ?
            (BlockingQueue) config.getQueue() :
            (BlockingQueue) config.setQueue(
                DataStructures.getLTQInstance(Runnable.class)).getQueue();
        
        int poolSize = config.getMaxPoolSize();

        synchronized (stateLock) {
            while (poolSize-- > 0) {
                doStartWorker();
            }
        }

        ProbeNotifier.notifyThreadPoolStarted(this);
        super.onMaxNumberOfThreadsReached();
    }

    /**
     * Must hold statelock while calling this method.
     */
    private void doStartWorker() {
        startWorker(new BasicWorker());
    }

    @Override
    public void execute(Runnable command) {
        if (running) {
            if (workQueue.offer(command)) {
                // doublecheck the pool is still running
                if (!running && workQueue.remove(command)) {
                    throw new RejectedExecutionException("ThreadPool is not running");
                }
                
                onTaskQueued(command);
                return;
            }
            onTaskQueueOverflow();
            return;
        }
        throw new RejectedExecutionException("ThreadPool is not running");
    }

    private final class BasicWorker extends Worker {
        @Override
        protected final Runnable getTask() throws InterruptedException {
            return workQueue.take();
        }
    }
}




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