Spring线程池和自定义线程池的使用

1、下面是自定义的线程池的代码

public class SettThreadPoolExecutor {
    private static final Log LOG = LogFactory.getLog(SettThreadPoolExecutor.class);
    /**
     * 针对核心Thread的Max比率 ，以10为基数，8表示0.8
     */
    private int notifyRadio = 4;

    /**
     * 最少线程数.

     * 当池子大小小于corePoolSize就新建线程，并处理请求.
     */
    private int corePoolSize;

    /**
     * 线程池缓冲队列大小.

     * 当池子大小等于corePoolSize，把请求放入workQueue中，池子里的空闲线程就去从workQueue中取任务并处理.
     */
    private int workQueueSize;

    /**
     * 最大线程数.

     * 当workQueue放不下新入的任务时，新建线程入池，并处理请求，

     * 如果池子大小撑到了maximumPoolSize就用RejectedExecutionHandler来做拒绝处理.
     */
    private int maxPoolSize;

    /**
     * 允许线程闲置时间,单位：秒.

     * 当池子的线程数大于corePoolSize的时候，多余的线程会等待keepAliveTime长的时间，如果无请求可处理就自行销毁.
     */
    private long keepAliveTime;

    private ThreadPoolExecutor executor = null;

    public void init() {
        if (workQueueSize < 1) {
            workQueueSize = 1000;
        }
        if (this.keepAliveTime < 1) {
            this.keepAliveTime = 1000;
        }
        int coreSize = 0;
        if (this.corePoolSize < 1) {
            coreSize = Runtime.getRuntime().availableProcessors();
            maxPoolSize = Math.round(((float) (coreSize * notifyRadio)) / 10);
            corePoolSize = coreSize / 4;
            if (corePoolSize < 1) {
                corePoolSize = 1;
            }
        }

        // NOTICE: corePoolSize不能大于maxPoolSize，否则会出错
        if (maxPoolSize < corePoolSize) {
            maxPoolSize = corePoolSize;
        }

        /**
         * ThreadPoolExecutor就是依靠BlockingQueue的阻塞机制来维持线程池，当池子里的线程无事可干的时候就通过workQueue.take()阻塞住
         */
        BlockingQueue notifyWorkQueue = new ArrayBlockingQueue(workQueueSize);

        executor = new ThreadPoolExecutor(corePoolSize, maxPoolSize, keepAliveTime, TimeUnit.SECONDS, notifyWorkQueue, new ThreadPoolExecutor.CallerRunsPolicy());

        LOG.info("NotifyExecutor Info : CPU = " + coreSize + 
                " | corePoolSize = " + corePoolSize + " | maxPoolSize = " + 
                maxPoolSize + " | workQueueSize = " + workQueueSize);
    }

    public void destroy() {
        executor.shutdownNow();
    }

    public void execute(Runnable command) {
        executor.execute(command);
    }

    public void showExecutorInfo() {
        LOG.info("NotifyExecutor Info : corePoolSize = " + corePoolSize + 
                " | maxPoolSize = " + maxPoolSize + " | workQueueSize = " + 
                workQueueSize + " | taskCount = " + executor.getTaskCount() + 
                " | activeCount = " + executor.getActiveCount() + 
                " | completedTaskCount = " + executor.getCompletedTaskCount());
    }


    public void setNotifyRadio(int notifyRadio) {
        this.notifyRadio = notifyRadio;
    }

    public void setWorkQueueSize(int workQueueSize) {
        this.workQueueSize = workQueueSize;
    }

    public void setKeepAliveTime(long keepAliveTime) {
        this.keepAliveTime = keepAliveTime;
    }

    public void setCorePoolSize(int corePoolSize) {
        this.corePoolSize = corePoolSize;
    }

    public void setMaxPoolSize(int maxPoolSize) {
        this.maxPoolSize = maxPoolSize;
    }
}

2、线程池在Spring-context.xml中调用

        
    <bean id="settThreadPoolExecutor" class="com.roncoo.pay.app.settlement.utils.SettThreadPoolExecutor" init-method="init" destroy-method="destroy">
        
        <property name="corePoolSize" value="5" />
        
        <property name="maxPoolSize" value="10" />
        
        <property name="workQueueSize" value="256" />
        
        <property name="keepAliveTime" value="3" />
    bean>


    
    <bean id="threadPoolTaskExecutor" class="org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor">
        
        <property name="corePoolSize" value="20" />
        
        <property name="keepAliveSeconds" value="30000" />
        
        <property name="maxPoolSize" value="200" />
        
        <property name="queueCapacity" value="1000" />
    bean>