問題描述
首先,給出調度服務的 Java 代碼示例:
@Slf4j
@Component
public class TaskProcessSchedule {
// 核心線程數
private static final int THREAD_COUNT = 10;
// 查詢數據步長
private static final int ROWS_STEP = 30;
@Resource
private TaskDao taskDao;
@Resource
private TaskService taskService;
private static ScheduledExecutorService scheduledExecutorService = Executors.newScheduledThreadPool(THREAD_COUNT);
public TaskProcessSchedule() {
for (int i = 0; i < THREAD_COUNT; i++) {
scheduledExecutorService.scheduleAtFixedRate(
new TaskWorker(i * ROWS_STEP, ROWS_STEP),
10,
2,
TimeUnit.SECONDS
);
}
log.info("TaskProcessSchedule scheduleAtFixedRate start success.");
}
class TaskWorker implements Runnable {
private int offset;
private int rows;
TaskWorker(int offset, int rows) {
this.offset = offset;
this.rows = rows;
}
@Override
public void run() {
List<Task> taskList = taskDao.selectProcessingTaskByLimitRange(offset, rows);
if (CollectionUtils.isEmpty(taskList)) {
return;
}
log.info("TaskWorker: current schedule thread name is {}, taskList is {}", Thread.currentThread().getName(), JsonUtil.toJson(taskList));
taskService.processTask(taskList);
}
}
}
如上述代碼所示,啓動 10 個調度線程,延遲 10 秒,開始執行定時邏輯,然後每隔 2 秒執行一次定時任務。定時任務類爲TaskWorker
,其要做的事就是根據offset
和rows
參數,到數據庫撈取指定範圍的待處理記錄,然後送到TaskService
的processTask
方法中進行處理。從邏輯上來看,該定時沒有什麼毛病,但是在執行定時任務的時候,卻經常出現卡頓的問題,表現出來的現象就是:定時任務不執行了。
問題定位
既然已經知道問題的現象了,現在我們就來看看如果定位問題。
- 使用
jps
命令,查詢當前服務器運行的 Java 進程PID
當然,也可以直接使用jps | grep "ServerName"
查詢指定服務的PID
,其中ServerName
爲服務名稱。
- 使用
jstack PID | grep "schedule"
命令,查詢調度線程的狀態
如上圖所示,發現我們啓動的 10 個調度線程均處於WAITING
狀態。
- 使用
jstack PID | grep "schedule-task-10" -A 50
命令,查詢指定線程的詳細信息
如上圖所示,我們可以知道調度線程在執行DelayedWorkQueue
的take()
方法的時候被卡主了。
深入分析
通過上面的問題定位,我們已經知道了代碼卡在了這裏:
at java.util.concurrent.ScheduledThreadPoolExecutor$DelayedWorkQueue.take(ScheduledThreadPoolExecutor.java:1088)
那麼接下來,我們就詳細分析一下出問題的代碼。
public RunnableScheduledFuture<?> take() throws InterruptedException {
final ReentrantLock lock = this.lock;
lock.lockInterruptibly();
try {
for (;;) {
RunnableScheduledFuture<?> first = queue[0];
if (first == null)
available.await();
else {
long delay = first.getDelay(NANOSECONDS);
if (delay <= 0)
return finishPoll(first);
first = null; // don't retain ref while waiting
if (leader != null)
available.await(); // 1088 行代碼
else {
Thread thisThread = Thread.currentThread();
leader = thisThread;
try {
available.awaitNanos(delay);
} finally {
if (leader == thisThread)
leader = null;
}
}
}
}
} finally {
if (leader == null && queue[0] != null)
available.signal();
lock.unlock();
}
}
由於上述代碼可知,當延遲隊列的任務爲空,或者當任務不爲空且leader
線程不爲null
的時候,都會調用await
方法;而且,就算leader
爲null
,後續也會調用awaitNanos
方法進行延遲設置。下面, 我們再來看看提交任務的方法scheduleAtFixedRate
:
public ScheduledFuture<?> scheduleAtFixedRate(Runnable command,
long initialDelay,
long period,
TimeUnit unit) {
if (command == null || unit == null)
throw new NullPointerException();
if (period <= 0)
throw new IllegalArgumentException();
ScheduledFutureTask<Void> sft =
new ScheduledFutureTask<Void>(command,
null,
triggerTime(initialDelay, unit),
unit.toNanos(period));
RunnableScheduledFuture<Void> t = decorateTask(command, sft);
sft.outerTask = t;
delayedExecute(t);
return t;
}
在scheduleAtFixedRate
方法中會調用decorateTask
方法裝飾任務t
,然後再將該任務扔到delayedExecute
方法中進行處理。
private void delayedExecute(RunnableScheduledFuture<?> task) {
if (isShutdown())
reject(task);
else {
super.getQueue().add(task);
if (isShutdown() &&
!canRunInCurrentRunState(task.isPeriodic()) &&
remove(task))
task.cancel(false);
else
ensurePrestart();
}
}
在delayedExecute
方法中,主要是檢查線程池中是否可以創建線程,如果不可以,則拒絕任務;否則,向任務隊列中添加任務並調用ensurePrestart
方法。
void ensurePrestart() {
int wc = workerCountOf(ctl.get());
if (wc < corePoolSize)
addWorker(null, true);
else if (wc == 0)
addWorker(null, false);
}
在ensurePrestart
方法中,主要就是判斷工作線程數量是否大於核心線程數,然後根據判斷的結果,使用不同的參數調用addWorker
方法。
private boolean addWorker(Runnable firstTask, boolean core) {
retry:
for (;;) {
int c = ctl.get();
int rs = runStateOf(c);
// Check if queue empty only if necessary.
if (rs >= SHUTDOWN &&
! (rs == SHUTDOWN &&
firstTask == null &&
! workQueue.isEmpty()))
return false;
for (;;) {
int wc = workerCountOf(c);
if (wc >= CAPACITY ||
wc >= (core ? corePoolSize : maximumPoolSize))
return false;
if (compareAndIncrementWorkerCount(c))
break retry;
c = ctl.get(); // Re-read ctl
if (runStateOf(c) != rs)
continue retry;
// else CAS failed due to workerCount change; retry inner loop
}
}
boolean workerStarted = false;
boolean workerAdded = false;
Worker w = null;
try {
w = new Worker(firstTask);
final Thread t = w.thread;
if (t != null) {
final ReentrantLock mainLock = this.mainLock;
mainLock.lock();
try {
// Recheck while holding lock.
// Back out on ThreadFactory failure or if
// shut down before lock acquired.
int rs = runStateOf(ctl.get());
if (rs < SHUTDOWN ||
(rs == SHUTDOWN && firstTask == null)) {
if (t.isAlive()) // precheck that t is startable
throw new IllegalThreadStateException();
workers.add(w);
int s = workers.size();
if (s > largestPoolSize)
largestPoolSize = s;
workerAdded = true;
}
} finally {
mainLock.unlock();
}
if (workerAdded) {
t.start();
workerStarted = true;
}
}
} finally {
if (! workerStarted)
addWorkerFailed(w);
}
return workerStarted;
}
在addWorker
方法中,主要目的就是將任務添加到workers
工作線程池並啓動工作線程。接下來,我們再來看看Worker
的執行邏輯,也就是run
方法:
public void run() {
runWorker(this);
}
在run
方法中,主要就是將調用轉發到外部的runWorker
方法:
final void runWorker(Worker w) {
Thread wt = Thread.currentThread();
Runnable task = w.firstTask;
w.firstTask = null;
w.unlock(); // allow interrupts
boolean completedAbruptly = true;
try {
while (task != null || (task = getTask()) != null) {
w.lock();
if ((runStateAtLeast(ctl.get(), STOP) ||
(Thread.interrupted() &&
runStateAtLeast(ctl.get(), STOP))) &&
!wt.isInterrupted())
wt.interrupt();
try {
beforeExecute(wt, task);
Throwable thrown = null;
try {
task.run(); // 執行調度任務
} catch (RuntimeException x) {
thrown = x; throw x;
} catch (Error x) {
thrown = x; throw x;
} catch (Throwable x) {
thrown = x; throw new Error(x);
} finally {
afterExecute(task, thrown);
}
} finally {
task = null;
w.completedTasks++;
w.unlock();
}
}
completedAbruptly = false;
} finally {
processWorkerExit(w, completedAbruptly);
}
}
在runWorker
方法中,核心操作就是調用task.run()
,其中task
爲Runnable
類型,其實現類爲ScheduledFutureTask
,而ScheduledFutureTask
繼承了FutureTask
類。對於FutureTask
類,如果在執行run
方法的過程中拋出異常,則這個異常並不會顯示拋出,而是需要我們調用FutureTask
的get
方法來獲取,因此如果我們在執行調度任務的時候沒有進行異常處理,則異常會被吞噬。
特別地,在FutureTask
類中,大量操作了sun.misc.Unsafe LockSupport
類,而這個類的park
方法,正是上面我們排查問題時定位到調度任務卡住的地方。除此之外,如果我們詳細閱讀了ScheduledExecutorService
的scheduleAtFixedRate
的 doc 文檔,如下所示:
/**
* Creates and executes a periodic action that becomes enabled first
* after the given initial delay, and subsequently with the given
* period; that is executions will commence after
* {@code initialDelay} then {@code initialDelay+period}, then
* {@code initialDelay + 2 * period}, and so on.
* If any execution of the task
* encounters an exception, subsequent executions are suppressed.
* Otherwise, the task will only terminate via cancellation or
* termination of the executor. If any execution of this task
* takes longer than its period, then subsequent executions
* may start late, but will not concurrently execute.
*
* @param command the task to execute
* @param initialDelay the time to delay first execution
* @param period the period between successive executions
* @param unit the time unit of the initialDelay and period parameters
* @return a ScheduledFuture representing pending completion of
* the task, and whose {@code get()} method will throw an
* exception upon cancellation
* @throws RejectedExecutionException if the task cannot be
* scheduled for execution
* @throws NullPointerException if command is null
* @throws IllegalArgumentException if period less than or equal to zero
*/
public ScheduledFuture<?> scheduleAtFixedRate(Runnable command,
long initialDelay,
long period,
TimeUnit unit);
我們會發現這樣一句話:
If any execution of the task encounters an exception, subsequent executions are suppressed.
翻譯過來,就是:
如果任務的任何執行遇到異常,則禁止後續的執行。
說白了,就是在執行調度任務的時候,如果遇到了(未捕獲)的異常,則後續的任務都不會執行了。
解決方法
到這裏,我們已經知道了問題產生的原因。下面,我們就修改開篇的示例代碼,進行優化:
@Slf4j
@Component
public class TaskProcessSchedule {
// 核心線程數
private static final int THREAD_COUNT = 10;
// 查詢數據步長
private static final int ROWS_STEP = 30;
@Resource
private TaskDao taskDao;
@Resource
private TaskService taskService;
private static ScheduledExecutorService scheduledExecutorService = Executors.newScheduledThreadPool(THREAD_COUNT);
public TaskProcessSchedule() {
for (int i = 0; i < THREAD_COUNT; i++) {
scheduledExecutorService.scheduleAtFixedRate(
new TaskWorker(i * ROWS_STEP, ROWS_STEP),
10,
2,
TimeUnit.SECONDS
);
}
log.info("TaskProcessSchedule scheduleAtFixedRate start success.");
}
class TaskWorker implements Runnable {
private int offset;
private int rows;
TaskWorker(int offset, int rows) {
this.offset = offset;
this.rows = rows;
}
@Override
public void run() {
List<Task> taskList = taskDao.selectProcessingTaskByLimitRange(offset, rows);
if (CollectionUtils.isEmpty(taskList)) {
return;
}
log.info("TaskWorker: current schedule thread name is {}, taskList is {}", Thread.currentThread().getName(), JsonUtil.toJson(taskList));
try { // 新增異常處理
taskService.processTask(taskList);
} catch (Throwable e) {
log.error("TaskWorker come across a error {}", e);
}
}
}
}
如上述代碼所示,我們對任務的核心邏輯進行了try-catch
處理,這樣當任務再拋出異常的時候,僅會忽略拋出異常的任務,而不會影響後續的任務。這也說明一件事,那就是:我們在編碼的時候,要特別注意對異常情況的處理。