为什么阿里不允许用Executors创建线程池

时间：2020-09-02 01:21:48

关键字：线程池

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[导读]1 文章概述《阿里巴巴JAVA开发手册》有这样一条强制规定：线程池不允许使用Executors去创建，而应该通过ThreadPoolExecutor方式，这样处理方式更加明确线程池运行规则，规避资源耗尽风险。本文我们从资源和排查问题两个角度进行分析，同时参考DUBBO线程池声

1 文章概述

《阿里巴巴JAVA开发手册》有这样一条强制规定：线程池不允许使用Executors去创建，而应该通过ThreadPoolExecutor方式，这样处理方式更加明确线程池运行规则，规避资源耗尽风险。本文我们从资源和排查问题两个角度进行分析，同时参考DUBBO线程池声明方式创建一个符合规范的线程池。

2 资源角度

《阿里巴巴JAVA开发手册》从资源角度对这个问题进行了分析

FixedThreadPool SingleThreadPool允许请求队列长度为Integer.MAX_VALUE可能会堆积大量请求从而导致OOM
CachedThreadPool ScheduledThreadPool允许创建线程数量为Integer.MAX_VALUE可能会创建大量线程从而导致OOM

以下两个线程池使用链表实现的阻塞队列，不设大小理论上队列容量无上限，所以可能会堆积大量请求从而导致OOM

# FixedThreadPool SingleThreadPoolpublic static ExecutorService newFixedThreadPool(int nThreads) { return new ThreadPoolExecutor(nThreads, nThreads, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<Runnable>());}
public static ExecutorService newSingleThreadExecutor() { return new FinalizableDelegatedExecutorService (new ThreadPoolExecutor(1, 1, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<Runnable>()));}

以下两个线程池maxSize使用Integer最大值，所以可能会创建大量线程从而导致OOM

# CachedThreadPool ScheduledThreadPoolpublic static ExecutorService newCachedThreadPool() { return new ThreadPoolExecutor(0, Integer.MAX_VALUE, 60L, TimeUnit.SECONDS, new SynchronousQueue<Runnable>());}
public static ScheduledExecutorService newSingleThreadScheduledExecutor() { return new DelegatedScheduledExecutorService (new ScheduledThreadPoolExecutor(1));}
public ScheduledThreadPoolExecutor(int corePoolSize) { super(corePoolSize, Integer.MAX_VALUE, 0, NANOSECONDS, new DelayedWorkQueue());}

3 排查问题角度

如果使用Executors创建线程池，大家应该最常使用如下语句

public void testThread() throws Exception { ExecutorService fixedExecutor = Executors.newFixedThreadPool(10); for (int i = 0; i < 1000; i++) { fixedExecutor.execute(new Runnable() { @Override public void run() { System.out.println("公众号互联网公园"); } }); }}

上述语句在功能层面是没有问题的，但是在生产环境中有可能遇到CPU飙高，线程数持续增加，内存溢出等问题，我们时常需要通过线程快照进行观察。我们通过jstack命令观察上述代码线程快照

"pool-1-thread-2" #525 prio=5 os_prio=0 tid=0x00006f6561039100 nid=0xdaa waiting on condition [0x00006f64e646d000]java.lang.Thread.State: WAITING (parking)at sun.misc.Unsafe.park(Native Method)parking to wait for <0x00000006e6f3e230> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)at java.util.concurrent.locks.LockSupport.park(LockSupport.java:165)at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)at java.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1066)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1126)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:616)at java.lang.Thread.run(Thread.java:645)

我们发现从线程快照看不出任何业务信息，只有类似pool-1-thread-2这种编号信息，不利于排查问题，我们需要给线程命名。

4 为线程进行命名

在并发编程中我们一定要为线程命名，这样有助于排查问题，关于如何命名我们可以参考DUBBO源码，分析FixedThreadPool线程池会发现其使用命名工厂为生产者和消费者线程进行命名

public class FixedThreadPool implements ThreadPool {
 @Override public Executor getExecutor(URL url) {
 // 线程名称 String name = url.getParameter(Constants.THREAD_NAME_KEY, Constants.DEFAULT_THREAD_NAME);
 // 线程个数默认200 int threads = url.getParameter(Constants.THREADS_KEY, Constants.DEFAULT_THREADS);
 // 队列容量默认0 int queues = url.getParameter(Constants.QUEUES_KEY, Constants.DEFAULT_QUEUES);
 // 队列容量等于0使用阻塞队列SynchronousQueue // 队列容量小于0使用无界阻塞队列LinkedBlockingQueue // 队列容量大于0使用有界阻塞队列LinkedBlockingQueue // NamedInternalThreadFactory为线程命名 return new ThreadPoolExecutor(threads, threads, 0, TimeUnit.MILLISECONDS, queues == 0 ? new SynchronousQueue<Runnable>() : (queues < 0 ? new LinkedBlockingQueue<Runnable>() : new LinkedBlockingQueue<Runnable>(queues)), new NamedInternalThreadFactory(name, true), new AbortPolicyWithReport(name, url)); }}

生产者默认线程名DubboServerHandler

public abstract class AbstractServer extends AbstractEndpoint implements Server { protected static final String SERVER_THREAD_POOL_NAME = "DubboServerHandler";}

生产者线程快照信息如下

"DubboServerHandler-1.1.1.1:20881-thread-20" #511 daemon prio = 5 os_prio = 0 tid = 0x00001f153121f200 nid = 0xd1a waiting on condition [0x00001f14edcdf000]java.lang.Thread.State: WAITING (parking)at sun.misc.Unsafe.park(Native Method)- parking to wait for <0x00000001e1f3abc0> (a java.util.concurrent.SynchronousQueue$TransferStack)at java.util.concurrent.locks.LockSupport.park(LockSupport.java : 115)at java.util.concurrent.SynchronousQueue$TransferStack.awaitFulfill(SynchronousQueue.java : 452)at java.util.concurrent.SynchronousQueue$TransferStack.transfer(SynchronousQueue.java : 312)at java.util.concurrent.SynchronousQueue.take(SynchronousQueue.java : 924)at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java : 1011)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java : 1121)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java : 111)

消费者默认线程名DubboClientHandler

public abstract class AbstractClient extends AbstractEndpoint implements Client { protected static final String CLIENT_THREAD_POOL_NAME = "DubboClientHandler";}

消费者线程快照信息如下

"DubboClientHandler-1.1.1.1:20881-thread-10" #688 daemon prio=1 os_prio=0 tid=0x00001f6114004800 nid=0x14d8 waiting on condition [0x00001f63e131a000]java.lang.Thread.State: TIMED_WAITING (parking)at sun.misc.Unsafe.park(Native Method)- parking to wait for <0x00000006e21df0d0> (a java.util.concurrent.SynchronousQueue$TransferStack)at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:111)at java.util.concurrent.SynchronousQueue$TransferStack.awaitFulfill(SynchronousQueue.java:460)at java.util.concurrent.SynchronousQueue$TransferStack.transfer(SynchronousQueue.java:361)at java.util.concurrent.SynchronousQueue.poll(SynchronousQueue.java:141)at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1066)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1111)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:611)at java.lang.Thread.run(Thread.java:141)

5 创建一个规范线程池

我们参考DUBBO线程池定义命名工厂

public class NamedInternalThreadFactory extends NamedThreadFactory { public NamedInternalThreadFactory() { super(); }
 public NamedInternalThreadFactory(String prefix) { super(prefix, false); }
 public NamedInternalThreadFactory(String prefix, boolean daemon) { super(prefix, daemon); }
 @Override public Thread newThread(Runnable runnable) { String name = mPrefix + mThreadNum.getAndIncrement(); InternalThread ret = new InternalThread(mGroup, runnable, name, 0); ret.setDaemon(mDaemon); return ret; }}
public class NamedThreadFactory implements ThreadFactory { protected static final AtomicInteger POOL_SEQ = new AtomicInteger(1); protected final AtomicInteger mThreadNum = new AtomicInteger(1); protected final String mPrefix; protected final boolean mDaemon; protected final ThreadGroup mGroup;
 public NamedThreadFactory() { this("pool-" + POOL_SEQ.getAndIncrement(), false); }
 public NamedThreadFactory(String prefix) { this(prefix, false); }
 public NamedThreadFactory(String prefix, boolean daemon) { mPrefix = prefix + "-thread-"; mDaemon = daemon; SecurityManager s = System.getSecurityManager(); mGroup = (s == null) ? Thread.currentThread().getThreadGroup() : s.getThreadGroup(); }
 @Override public Thread newThread(Runnable runnable) { String name = mPrefix + mThreadNum.getAndIncrement(); Thread ret = new Thread(mGroup, runnable, name, 0); ret.setDaemon(mDaemon); return ret; }
 public ThreadGroup getThreadGroup() { return mGroup; }}

再定义一个线程池，在线程池执行方法开放一个业务名称参数供调用方设置

public class ThreadPoolStarter { public static ThreadPoolExecutor getExecutor(String threadName) { if (executor == null) { synchronized (ThreadPoolStarter.class) { if (executor == null) { int coreSize = Runtime.getRuntime().availableProcessors(); BlockingQueue<Runnable> queueToUse = new LinkedBlockingQueue<Runnable>(QUEUE_SIZE); executor = new ThreadPoolExecutor(coreSize, POOL_CORE_SIZE, MAX_SIZE, TimeUnit.SECONDS, queueToUse, new NamedInternalThreadFactory(threadName, true), new AbortPolicyDoReport(threadName)); } } } return executor; }}
public class ThreadExecutor { public static void execute(String bizName, Runnable job) { ThreadPoolStarter.getExecutor(bizName).execute(job); }
 public static Future<?> sumbit(String bizName, Runnable job) { return ThreadPoolStarter.getExecutor(bizName).submit(job); }}

编写一个实例进行测试

public void testThread() throws Exception { for (int i = 0; i < 10000; i++) { ThreadExecutor.execute("BizName", new Runnable() { @Override public void run() { System.out.println("公众号互联网公园"); } }); Thread.sleep(1000L); } }}

再观察线程快照可以清晰查看业务名

"BizName-thread-8" #262 daemon prio=5 os_prio=0 tid=0x0000000023b5c000 nid=0x31d4 waiting on condition [0x000000003c0be000]java.lang.Thread.State: WAITING (parking)at sun.misc.Unsafe.park(Native Method)- parking to wait for <0x00000006c35781f0> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)at java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)at java.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)at java.util.concurrent.ThreadPoolExecutor.getTask(ThreadPoolExecutor.java:1074)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1134)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)at java.lang.Thread.run(Thread.java:748)