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https://blog.youkuaiyun.com/qijinglai/article/details/80750088
关联文章:
Android多线程(Handler篇)
Android多线程(AsyncTask篇)
Android多线程(HandlerThread篇)
Android多线程(IntentService篇)
前言
在Android多线程(AsyncTask篇)中提到可以通过自定义Executor来实现并行,这里涉及到线程池的概念。
Executor是Java中的概念,是一个接口,真正的线程池实现是ThreadPoolExecutor。它提供了一系列的参数来配置不同的线程池。按功能来分Android线程池主要分4类,均通过Executors提供的工厂方法得到。
由于Android的线程池都是直接或间接通过配置ThreadPoolExecutor得到的,所以先来看一下ThreadPoolExecutor。
ThreadPoolExecutor
ThreadPoolExecutor是线程池的真正实现,他的构造方法提供了一系列参数来配置线程池,下面先介绍一下其构造方法中的参数的含义。
这是一个很常用的构造方法:
public ThreadPoolExecutor(
int corePoolSize,//核心线程数
int maximumPoolSize,//最大线程数
long keepAliveTime, //非核心线程的超时时间
TimeUnit unit,//单位
BlockingQueue<Runnable> workQueue,//任务队列
ThreadFactory threadFactory//线程工厂
)
- corePoolSize
核心线程数,核心线程池默认会在线程池中一直存活,无论它是不是闲置。如果将ThreadPoolExecute的allowCoreThreadTimeOut设置为true,那么闲置的核心线程会执行超时策略,这个超时策略的时间间隔是由keepAliveTime所指定的。 - maximumPoolSize
线程池所能容纳的最大线程数,当活动的线程数达到这个数值后,后续的任务会被阻塞。 - keepAliveTime
非核心线程池的超时时长,非核心线程池闲置的时间超过这个时间就会被回收。当ThreadPoolExecute的allowCoreThreadTimeOut设置为true时,它同样也作用于核心线程。 - unit
用于指定keepAliveTime的单位。 - workQueue
线程池中的任务队列,通过线程池的execute方法提交的Runnable对象会储存在这个参数中。 threadFactory
线程工厂,为线程池提供创建新线程的功能,ThreadFactory是一个接口,他只有一个方法:public interface ThreadFactory { Thread newThread(Runnable var1); }
除了这些参数外还有个很不常用的参数RejectedExecutionHandler handler。当线程池无法执行新任务时(任务队列满了或者无法成功执行)会调用handler的rejectExecutionException。
执行规则
AsyncTask的线程池配置
private static final int CORE_POOL_SIZE = Math.max(2, Math.min(CPU_COUNT - 1, 4));
private static final int MAXIMUM_POOL_SIZE = CPU_COUNT * 2 + 1;
private static final int KEEP_ALIVE_SECONDS = 30;
private static final BlockingQueue<Runnable> sPoolWorkQueue =
new LinkedBlockingQueue<Runnable>(128);
private static final ThreadFactory sThreadFactory = new ThreadFactory() {
private final AtomicInteger mCount = new AtomicInteger(1);
public Thread newThread(Runnable r) {
return new Thread(r, "AsyncTask #" + mCount.getAndIncrement());
}
};
public static final Executor THREAD_POOL_EXECUTOR;
static {
ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor(
CORE_POOL_SIZE, MAXIMUM_POOL_SIZE, KEEP_ALIVE_SECONDS, TimeUnit.SECONDS,
sPoolWorkQueue, sThreadFactory);
threadPoolExecutor.allowCoreThreadTimeOut(true);
THREAD_POOL_EXECUTOR = threadPoolExecutor;
}
在我的Android多线程(AsyncTask篇)这一篇中可以知道AsyncTask配置了THREAD_POOL_EXECUTOR这个线程池,由上面的代码可以知道此线程池的规格:
- 核心线程数=((CPU核心数-1)和4比取小)后和2比取大
- 最大线程数=2*CPU核心数+1
- 核心线程无超时,非核心线程超时时间为30秒
- 任务队列容量=128
线程池分类
这里介绍4中常见的线程池
FixedThreadPool
通过Executors.newFixedThreadPool创建
①只有核心线程且数量固定
②没有超时机制
③队列没大小限制/** * Creates a thread pool that reuses a fixed number of threads * operating off a shared unbounded queue. At any point, at most * {@code nThreads} threads will be active processing tasks. * If additional tasks are submitted when all threads are active, * they will wait in the queue until a thread is available. * If any thread terminates due to a failure during execution * prior to shutdown, a new one will take its place if needed to * execute subsequent tasks. The threads in the pool will exist * until it is explicitly {@link ExecutorService#shutdown shutdown}. * * @param nThreads the number of threads in the pool * @return the newly created thread pool * @throws IllegalArgumentException if {@code nThreads <= 0} */ public static ExecutorService newFixedThreadPool(int nThreads) { return new ThreadPoolExecutor(nThreads, nThreads, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<Runnable>()); }
CachedThreadPool
通过Executors.newFixedThreadPool创建
①只有非核心线程,且数量不定。
②最大线程数Integer.MAX_VALUE,最多65535个线程
③超时时间60s
他会立即执行任何任务,适用于大量耗时较少的操作/** * Creates a thread pool that creates new threads as needed, but * will reuse previously constructed threads when they are * available. These pools will typically improve the performance * of programs that execute many short-lived asynchronous tasks. * Calls to {@code execute} will reuse previously constructed * threads if available. If no existing thread is available, a new * thread will be created and added to the pool. Threads that have * not been used for sixty seconds are terminated and removed from * the cache. Thus, a pool that remains idle for long enough will * not consume any resources. Note that pools with similar * properties but different details (for example, timeout parameters) * may be created using {@link ThreadPoolExecutor} constructors. * * @return the newly created thread pool */ public static ExecutorService newCachedThreadPool() { return new ThreadPoolExecutor(0, Integer.MAX_VALUE, 60L, TimeUnit.SECONDS, new SynchronousQueue<Runnable>()); }
ScheduledThreadPool
通过Executors.newScheduledThreadPool来创建
①核心线程数固定
②非核心线程没限制
③非核心线程闲置时立即回收
用于执行定时任务和有固定周期的任务/** * Creates a thread pool that can schedule commands to run after a * given delay, or to execute periodically. * @param corePoolSize the number of threads to keep in the pool, * even if they are idle * @return a newly created scheduled thread pool * @throws IllegalArgumentException if {@code corePoolSize < 0} */ public static ScheduledExecutorService newScheduledThreadPool(int corePoolSize) { return new ScheduledThreadPoolExecutor(corePoolSize); }
SingleThreadExecutor
通过Executors.newSingleThreadExecutor来创建
①一个核心线程
同意外界任务进来按顺序执行/** * Creates an Executor that uses a single worker thread operating * off an unbounded queue. (Note however that if this single * thread terminates due to a failure during execution prior to * shutdown, a new one will take its place if needed to execute * subsequent tasks.) Tasks are guaranteed to execute * sequentially, and no more than one task will be active at any * given time. Unlike the otherwise equivalent * {@code newFixedThreadPool(1)} the returned executor is * guaranteed not to be reconfigurable to use additional threads. * * @return the newly created single-threaded Executor */ public static ExecutorService newSingleThreadExecutor() { return new FinalizableDelegatedExecutorService (new ThreadPoolExecutor(1, 1, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<Runnable>())); }
线程池的好处
除了前面介绍的配置好的线程池之外,我们也可以根据需求自己配置线程池,就写到这吧,最后总结下线程池的好处。
- 重用线程池中的线程,避免因线程的创建和销毁所带来的性能上的开销;
- 能有效地控制线程池的最大并发数,避免大量的线程之间互相抢占资源而导致阻塞;
- 能够对线程进行简单的管理,并提供定时执行以及间隔循环执行等功能。
本文参考《Android开发艺术探索》第十一章内容