Runnable,Callable在ThreadPoolExecutor中的使用
在使用ExecutorService的使用一般會使用submit()方法提交runnable或者callable
看一下AbstractExecutorService中的實現
//java.util.concurrent.AbstractExecutorService
public Future<?> submit(Runnable task) {
if (task == null) throw new NullPointerException();
RunnableFuture<Void> ftask = newTaskFor(task, null);
execute(ftask);
return ftask;
}
public <T> Future<T> submit(Callable<T> task) {
if (task == null) throw new NullPointerException();
RunnableFuture<T> ftask = newTaskFor(task);
execute(ftask);
return ftask;
}
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可以看到都通過newTaskFor()方法生成一個RunnableFuture物件
protected <T> RunnableFuture<T> newTaskFor(Runnable runnable, T value) {
return new FutureTask<T>(runnable, value);
}
protected <T> RunnableFuture<T> newTaskFor(Callable<T> callable) {
return new FutureTask<T>(callable);
}
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看一下RunnableFuture的構造
//java.util.concurrent.FutureTask
public FutureTask(Callable<V> callable) {
if (callable == null)
throw new NullPointerException();
this.callable = callable;
this.state = NEW; // ensure visibility of callable
}
public FutureTask(Runnable runnable, V result) {
//包裝runnable->callable
this.callable = Executors.callable(runnable, result);
this.state = NEW; // ensure visibility of callable
}
//java.util.concurrent.Executors
public static <T> Callable<T> callable(Runnable task, T result) {
if (task == null)
throw new NullPointerException();
return new RunnableAdapter<T>(task, result);
}
//java.util.concurrent.Executors.RunnableAdapter
//介面卡模式 runnable->callable
static final class RunnableAdapter<T> implements Callable<T> {
final Runnable task;
final T result;
RunnableAdapter(Runnable task, T result) {
this.task = task;
this.result = result;
}
public T call() {
task.run();
return result;
}
}
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從上面程式碼可以看submit(Runnable)和submit(Callable)方法的實現步驟
- 判空
- 生成RunnableFuture物件
- 呼叫execute()方法
//java.util.concurrent.ThreadPoolExecutor
//任務佇列
private final BlockingQueue<Runnable> workQueue;
public void execute(Runnable command) {
...
workQueue.offer(command)
...
}
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從execute(Runnable)方法簽名可以得出: RunnableFuture是個Runnable實現類
FutureTask是RunnableFuture的實現類
看一下FutureTask的繼承關係
RunnableFuture是一個介面卡模式的實現 將Future適配為Runable
看一下FutureTask是如何實現Runnable介面的
public void run() {
...
try {
Callable<V> c = callable;
if (c != null && state == NEW) {
V result;
boolean ran;
try {
//執行callable.call()方法
result = c.call();
ran = true;
} catch (Throwable ex) {
result = null;
ran = false;
setException(ex);
}
if (ran)//儲存結果
set(result);
}
} finally {
// runner must be non-null until state is settled to
// prevent concurrent calls to run()
runner = null;
// state must be re-read after nulling runner to prevent
// leaked interrupts
int s = state;
if (s >= INTERRUPTING)
handlePossibleCancellationInterrupt(s);
}
}
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總結:
- ThreadPoolExecutor中的任務佇列存放的Runnable物件
- 通過execute方法提交的Runable物件會被直接塞到任務佇列中
- 通過submit(Callable)方法提交的Callable物件會被包裝FutureTask物件,再塞到任務佇列中
- 通過submit(Runnable)方法提交的Runnable會被包裝成RunnableAdapter物件(Callable實現),再包成FutureTask物件,再塞到任務佇列中
Future
Future:一個非同步計算的佔位物件,用於獲取一個將被計算的結果
Future特性:
- 通過get()獲取一個將被計算的結果
- 通過cancel()方法取消對結果的計算
FutureTask.cancel()實現
FutureTask的幾種狀態
private static final int NEW = 0;
private static final int COMPLETING = 1;
private static final int NORMAL = 2;
private static final int EXCEPTIONAL = 3;
private static final int CANCELLED = 4;
private static final int INTERRUPTING = 5;
private static final int INTERRUPTED = 6;
//可能出現的狀態變化過程
* NEW -> COMPLETING -> NORMAL
* NEW -> COMPLETING -> EXCEPTIONAL
* NEW -> CANCELLED
* NEW -> INTERRUPTING -> INTERRUPTED
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cancel實現過程
public boolean cancel(boolean mayInterruptIfRunning) {
// 1.狀態判斷
// 只有state==New且通過cas修改state值成功 才往下執行 否則return false
if (!(state == NEW &&
//狀態變化
// mayInterruptIfRunning? NEW->INTERRUPTING:NEW->CANCELLED
UNSAFE.compareAndSwapInt(this, stateOffset, NEW,
mayInterruptIfRunning ? INTERRUPTING : CANCELLED)))
return false;
try { // in case call to interrupt throws exception
if (mayInterruptIfRunning) {//2.打斷執行
try {
Thread t = runner;
if (t != null)
t.interrupt();
} finally { // INTERRUPTING->INTERRUPTED
UNSAFE.putOrderedInt(this, stateOffset, INTERRUPTED);
}
}
} finally {
//3.結束
finishCompletion();
}
return true;
}
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過程分析:
-
狀態判斷
if表示式可以拆分成 state == NEW 和 UNSAFE.compareAndSwapInt(this, stateOffset, NEW,mayInterruptIfRunning ? INTERRUPTING : CANCELLED)
-
state == NEW 判斷當前狀態是否為NEW
-
UNSAFE.compareAndSwapInt(this, stateOffset, NEW,mayInterruptIfRunning ? INTERRUPTING : CANCELLED)
這是一個cas的修改方式 相當於state=mayInterruptIfRunning ? INTERRUPTING : CANCELLED
cas的方式主要出於原子性的考慮
unsafe的用法請自行查閱資料
總結:如果狀態為NEW 且 獲取到鎖 方可執行真正的cancle操作
-
-
打斷執行
mayInterruptIfRunning?thread.interrupt() : 無操作 ;
-
結束
finishCompletion();
總結:
- 只有state==NEW時才可以進行cancel
- 通過unsafe的cas操作修改state
- 狀態變化兩條線
- NEW->CANCLE
- NEW->INTERRUPTING->INTERRUPTED
FutureTask.run()實現
public void run() {
// 1.狀態判斷
// 只有state==New且通過cas設定runner值成功 才往下執行 否則return false
if (state != NEW ||
!UNSAFE.compareAndSwapObject(this, runnerOffset,
null, Thread.currentThread()))
return;
try {
Callable<V> c = callable;
if (c != null && state == NEW) {
V result;
boolean ran;
try {
//執行callable.call()
result = c.call();
ran = true;
} catch (Throwable ex) {
result = null;
ran = false;
//NEW->COMPLETING->EXCEPTIONAL
setException(ex);
}
if (ran)//NEW->COMPLETING->NORMAL
set(result);
}
} finally {
// runner must be non-null until state is settled to
// prevent concurrent calls to run()
runner = null;
// state must be re-read after nulling runner to prevent
// leaked interrupts
int s = state;
if (s >= INTERRUPTING)
handlePossibleCancellationInterrupt(s);
}
}
protected void setException(Throwable t) {
// 防止cancle()方法修改state
if (UNSAFE.compareAndSwapInt(this, stateOffset, NEW, COMPLETING)) {
outcome = t;
UNSAFE.putOrderedInt(this, stateOffset, EXCEPTIONAL); // final state
finishCompletion();
}
}
protected void set(V v) {
// 防止cancle()方法修改state
if (UNSAFE.compareAndSwapInt(this, stateOffset, NEW, COMPLETING)) {
outcome = v;
UNSAFE.putOrderedInt(this, stateOffset, NORMAL); // final state
finishCompletion();
}
}
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總結:
- 只有state==NEW時方法執行run()過程
- 通過unsafe的cas設定runner(當前執行緒)
- 狀態變化 兩條線:
- NEW->COMPLETING->EXCEPTIONAL
- NEW->COMPLETING->NORMAL
cancle()總結
- 如果run()尚未被執行 則將callable置空且修改狀態為非NEW(這樣run()方法就不會執行)
- 如果run()正在執行且callable.call()尚未執行完成 則呼叫thread.interrpt()通知執行緒停止(只是通知 無法保證打斷執行緒 具體原因自行查閱interrpt()資料) 由於cancle修改了state狀態 所以setException()和set()無法儲存結果
- 如果run()執行完畢 或者 callable.call()執行完成 由於 state!=NEW 所以cancle()不繼續執行 返回失敗
FutureTask.get()實現
public V get() throws InterruptedException, ExecutionException {
int s = state;
if (s <= COMPLETING)//阻塞等待
s = awaitDone(false, 0L);
return report(s);
}
private int awaitDone(boolean timed, long nanos)
throws InterruptedException {
final long deadline = timed ? System.nanoTime() + nanos : 0L;
WaitNode q = null;
boolean queued = false;
for (;;) {
//cancle()過程中呼叫thread.interrupt()則退出迴圈 並拋異常
if (Thread.interrupted()) {
removeWaiter(q);
throw new InterruptedException();
}
int s = state;
if (s > COMPLETING) {//執行完成(包括執行異常) 或被取消 返回當前status
if (q != null)
q.thread = null;
return s;
}
else if (s == COMPLETING) //執行完成但尚未修改狀態 則Thread.yield()讓出cpu資源
Thread.yield();
else if (q == null)//尚未執行完成 則加入生成等待節點
q = new WaitNode();
else if (!queued)//當前等待節點尚未加入等待佇列 則cas方式加入等待佇列
queued = UNSAFE.compareAndSwapObject(this, waitersOffset,
q.next = waiters, q);
else if (timed) {//已經加入等待佇列 則阻塞等待
nanos = deadline - System.nanoTime();
if (nanos <= 0L) {
removeWaiter(q);
return state;
}
LockSupport.parkNanos(this, nanos);
}
else//同上
LockSupport.park(this);
}
}
//根據state 返回不同結果
private V report(int s) throws ExecutionException {
Object x = outcome;
if (s == NORMAL)
return (V)x;
if (s >= CANCELLED)
throw new CancellationException();
throw new ExecutionException((Throwable)x);
}
//run()和cancle()最終都會呼叫finishCompletion() 分析是如何喚醒等待佇列中的節點的
private void finishCompletion() {
// assert state > COMPLETING;
for (WaitNode q; (q = waiters) != null;) {
// cas方式修改將等待佇列置空
if (UNSAFE.compareAndSwapObject(this, waitersOffset, q, null)) {
for (;;) {
Thread t = q.thread;
if (t != null) {
q.thread = null;
LockSupport.unpark(t);//喚醒等待節點
}
WaitNode next = q.next;//指標指向下個等待節點
if (next == null)
break;
q.next = null; // unlink to help gc
q = next;
}
break;
}
}
done();
callable = null; // callable置空
}
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get()總結:
- 生成等待節點並加入等待佇列中
- 通過LockSupport.park() 進行自旋 等待被喚醒
- 根據state包裝任務執行結果