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SpringBoot定时任务 - 经典定时任务设计:时间轮(Timing Wheel)案例和原理


Timer和ScheduledExecutorService是JDK内置的定时任务方案,而业内还有一个经典的定时任务的设计叫时间轮(Timing Wheel), Netty内部基于时间轮实现了一个HashedWheelTimer来优化百万量级I/O超时的检测,它是一个高性能,低消耗的数据结构,它适合用非准实时,延迟的短平快任务,例如心跳检测。本文主要介绍时间轮(Timing Wheel)及其使用。@pdai

知识准备

需要对时间轮(Timing Wheel),以及Netty的HashedWheelTimer要解决什么问题有初步的认识。

什么是时间轮(Timing Wheel)

时间轮(Timing Wheel)是George Varghese和Tony Lauck在1996年的论文'​​Hashed and Hierarchical Timing Wheels: data structures to efficiently implement a timer facility​​'实现的,它在Linux内核中使用广泛,是Linux内核定时器的实现方法和基础之一。

时间轮(Timing Wheel)是一种环形的数据结构,就像一个时钟可以分成很多格子(Tick),每个格子代表时间的间隔,它指向存储的具体任务(timerTask)的一个链表。

SpringBoot定时任务 - 经典定时任务设计:时间轮(Timing Wheel)案例和原理_time wheel

以上述在论文中的图片例子,这里一个轮子包含8个格子(Tick), 每个tick是一秒钟;

任务的添加:如果一个任务要在17秒后执行,那么它需要转2轮,最终加到Tick=1位置的链表中。

任务的执行:在时钟转2Round到Tick=1的位置,开始执行这个位置指向的链表中的这个任务。(# 这里表示剩余需要转几轮再执行这个任务)

Netty的HashedWheelTimer要解决什么问题

HashedWheelTimer是Netty根据时间轮(Timing Wheel)开发的工具类,它要解决什么问题呢?这里面有两个要点:延迟任务 + 低时效性。@pdai

在Netty中的一个典型应用场景是判断某个连接是否idle,如果idle(如客户端由于网络原因导致到服务器的心跳无法送达),则服务器会主动断开连接,释放资源。判断连接是否idle是通过定时任务完成的,但是Netty可能维持数百万级别的长连接,对每个连接去定义一个定时任务是不可行的,所以如何提升I/O超时调度的效率呢?

Netty根据时间轮(Timing Wheel)开发了HashedWheelTimer工具类,用来优化I/O超时调度(本质上是延迟任务);之所以采用时间轮(Timing Wheel)的结构还有一个很重要的原因是I/O超时这种类型的任务对时效性不需要非常精准。

HashedWheelTimer的使用方式

在了解时间轮(Timing Wheel)和Netty的HashedWheelTimer要解决的问题后,我们看下HashedWheelTimer的使用方式

通过构造函数看主要参数

public HashedWheelTimer(
ThreadFactory threadFactory,
long tickDuration, TimeUnit unit, int ticksPerWheel, boolean leakDetection,
long maxPendingTimeouts, Executor taskExecutor){

}

具体参数说明如下:

  • ​threadFactory​​:线程工厂,用于创建工作线程, 默认是Executors.defaultThreadFactory()
  • ​tickDuration​​:tick的周期,即多久tick一次
  • ​unit​​: tick周期的单位
  • ​ticksPerWheel​​:时间轮的长度,一圈下来有多少格
  • ​leakDetection​​:是否开启内存泄漏检测,默认是true
  • ​maxPendingTimeouts​​:最多执行的任务数,默认是-1,即不限制。在高并发量情况下才会设置这个参数。

实现案例

这里展示下HashedWheelTimer的基本使用案例。@pdai

Pom依赖

引入pom的依赖

<dependency>
<groupId>io.netty</groupId>
<artifactId>netty-all</artifactId>
<version>4.1.77.Final</version>
</dependency>

2个简单例子

例子1:5秒后执行TimerTask

@SneakyThrows
public static void simpleHashedWheelTimer(){
log.info("init task 1...");

HashedWheelTimer timer = new HashedWheelTimer(1, TimeUnit.SECONDS, 8);

// add a new timeout
timer.newTimeout(timeout -> {
log.info("running task 1...");
}, 5, TimeUnit.SECONDS);
}

执行结果如下:

23:32:21.364 [main] INFO tech.pdai.springboot.schedule.timer.netty.HashedWheelTimerTester - init task 1...
...
23:32:27.454 [pool-1-thread-1] INFO tech.pdai.springboot.schedule.timer.netty.HashedWheelTimerTester - running task 1...

例子2:任务失效后cancel并让它重新在3秒后执行。

@SneakyThrows
public static void reScheduleHashedWheelTimer(){
log.info("init task 2...");

HashedWheelTimer timer = new HashedWheelTimer(1, TimeUnit.SECONDS, 8);

Thread.sleep(5000);

// add a new timeout
Timeout tm = timer.newTimeout(timeout -> {
log.info("running task 2...");
}, 5, TimeUnit.SECONDS);

// cancel
if (!tm.isExpired()) {
log.info("cancel task 2...");
tm.cancel();
}

// reschedule
timer.newTimeout(tm.task(), 3, TimeUnit.SECONDS);
}

23:28:36.408 [main] INFO tech.pdai.springboot.schedule.timer.netty.HashedWheelTimerTester - init task 2...
23:28:41.412 [main] INFO tech.pdai.springboot.schedule.timer.netty.HashedWheelTimerTester - cancel task 2...
23:28:45.414 [pool-2-thread-1] INFO tech.pdai.springboot.schedule.timer.netty.HashedWheelTimerTester - running task 2...

进一步理解

我们通过如下问题进一步理解HashedWheelTimer。@pdai

HashedWheelTimer是如何实现的?

简单看下HashedWheelTimer是如何实现的

SpringBoot定时任务 - 经典定时任务设计:时间轮(Timing Wheel)案例和原理_时间轮_02

  • ​Worker​​:worker工作线程主要负责任务调度触发,单线程运行。
  • ​HashedWheelBucket​​: 时间轮上面的格子,内部持有HashedWheelTimeout组成的链表结构的头尾节点,多个格子组成的时间轮形成一圈又一圈的任务环
  • ​HashedWheelTimeout​​: 往时间轮里面提交的任务会被封装成HashedWheelTimeout

构造函数

public HashedWheelTimer(
ThreadFactory threadFactory,
long tickDuration, TimeUnit unit, int ticksPerWheel, boolean leakDetection,
long maxPendingTimeouts, Executor taskExecutor){

checkNotNull(threadFactory, "threadFactory");
checkNotNull(unit, "unit");
checkPositive(tickDuration, "tickDuration");
checkPositive(ticksPerWheel, "ticksPerWheel");
this.taskExecutor = checkNotNull(taskExecutor, "taskExecutor");

// Normalize ticksPerWheel to power of two and initialize the wheel.
wheel = createWheel(ticksPerWheel);
mask = wheel.length - 1;

// Convert tickDuration to nanos.
long duration = unit.toNanos(tickDuration);

// Prevent overflow.
if (duration >= Long.MAX_VALUE / wheel.length) {
throw new IllegalArgumentException(String.format(
"tickDuration: %d (expected: 0 < tickDuration in nanos < %d",
tickDuration, Long.MAX_VALUE / wheel.length));
}

if (duration < MILLISECOND_NANOS) {
logger.warn("Configured tickDuration {} smaller than {}, using 1ms.",
tickDuration, MILLISECOND_NANOS);
this.tickDuration = MILLISECOND_NANOS;
} else {
this.tickDuration = duration;
}

workerThread = threadFactory.newThread(worker);

leak = leakDetection || !workerThread.isDaemon() ? leakDetector.track(this) : null;

this.maxPendingTimeouts = maxPendingTimeouts;

if (INSTANCE_COUNTER.incrementAndGet() > INSTANCE_COUNT_LIMIT &&
WARNED_TOO_MANY_INSTANCES.compareAndSet(false, true)) {
reportTooManyInstances();
}
}

创建wheel

private static HashedWheelBucket[] createWheel(int ticksPerWheel) {
//ticksPerWheel may not be greater than 2^30
checkInRange(ticksPerWheel, 1, 1073741824, "ticksPerWheel");

ticksPerWheel = normalizeTicksPerWheel(ticksPerWheel);
HashedWheelBucket[] wheel = new HashedWheelBucket[ticksPerWheel];
for (int i = 0; i < wheel.length; i ++) {
wheel[i] = new HashedWheelBucket();
}
return wheel;
}

private static int normalizeTicksPerWheel(int ticksPerWheel){
int normalizedTicksPerWheel = 1;
while (normalizedTicksPerWheel < ticksPerWheel) {
normalizedTicksPerWheel <<= 1;
}
return normalizedTicksPerWheel;
}

任务的添加

@Override
public Timeout newTimeout(TimerTask task, long delay, TimeUnit unit){
checkNotNull(task, "task");
checkNotNull(unit, "unit");

long pendingTimeoutsCount = pendingTimeouts.incrementAndGet();

if (maxPendingTimeouts > 0 && pendingTimeoutsCount > maxPendingTimeouts) {
pendingTimeouts.decrementAndGet();
throw new RejectedExecutionException("Number of pending timeouts ("
+ pendingTimeoutsCount + ") is greater than or equal to maximum allowed pending "
+ "timeouts (" + maxPendingTimeouts + ")");
}

start();

// Add the timeout to the timeout queue which will be processed on the next tick.
// During processing all the queued HashedWheelTimeouts will be added to the correct HashedWheelBucket.
long deadline = System.nanoTime() + unit.toNanos(delay) - startTime;

// Guard against overflow.
if (delay > 0 && deadline < 0) {
deadline = Long.MAX_VALUE;
}
HashedWheelTimeout timeout = new HashedWheelTimeout(this, task, deadline);
timeouts.add(timeout);
return timeout;
}

执行方法

/**
* Starts the background thread explicitly. The background thread will
* start automatically on demand even if you did not call this method.
*
* @throws IllegalStateException if this timer has been
* {@linkplain #stop() stopped} already
*/
public void start(){
switch (WORKER_STATE_UPDATER.get(this)) {
case WORKER_STATE_INIT:
if (WORKER_STATE_UPDATER.compareAndSet(this, WORKER_STATE_INIT, WORKER_STATE_STARTED)) {
workerThread.start();
}
break;
case WORKER_STATE_STARTED:
break;
case WORKER_STATE_SHUTDOWN:
throw new IllegalStateException("cannot be started once stopped");
default:
throw new Error("Invalid WorkerState");
}

// Wait until the startTime is initialized by the worker.
while (startTime == 0) {
try {
startTimeInitialized.await();
} catch (InterruptedException ignore) {
// Ignore - it will be ready very soon.
}
}
}

停止方法

@Override
public Set<Timeout> stop(){
if (Thread.currentThread() == workerThread) {
throw new IllegalStateException(
HashedWheelTimer.class.getSimpleName() +
".stop() cannot be called from " +
TimerTask.class.getSimpleName());
}

if (!WORKER_STATE_UPDATER.compareAndSet(this, WORKER_STATE_STARTED, WORKER_STATE_SHUTDOWN)) {
// workerState can be 0 or 2 at this moment - let it always be 2.
if (WORKER_STATE_UPDATER.getAndSet(this, WORKER_STATE_SHUTDOWN) != WORKER_STATE_SHUTDOWN) {
INSTANCE_COUNTER.decrementAndGet();
if (leak != null) {
boolean closed = leak.close(this);
assert closed;
}
}

return Collections.emptySet();
}

try {
boolean interrupted = false;
while (workerThread.isAlive()) {
workerThread.interrupt();
try {
workerThread.join(100);
} catch (InterruptedException ignored) {
interrupted = true;
}
}

if (interrupted) {
Thread.currentThread().interrupt();
}
} finally {
INSTANCE_COUNTER.decrementAndGet();
if (leak != null) {
boolean closed = leak.close(this);
assert closed;
}
}
return worker.unprocessedTimeouts();
}

什么是多级Timing Wheel?

多级的时间轮是比较好理解的,时钟是有小时,分钟,秒的,秒转一圈(Round)分钟就转一个格(Tick), 分钟转一圈(Round)小时就转一格(Tick)。

SpringBoot定时任务 - 经典定时任务设计:时间轮(Timing Wheel)案例和原理_spring_03

PS:显然HashedWheelTimer是一层时间轮。

示例源码

​​https://github.com/realpdai/tech-pdai-spring-demos​​

更多内容

告别碎片化学习,无套路一站式体系化学习后端开发: ​​Java 全栈知识体系 https://pdai.tech​​

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