1

本文主要解析一下遇到的一个kafka consumer offset lag不断增大的异常。

查看consumer消费情况

Group       Topic        Pid    Offset     logSize         Lag             Owner
demo-group demo-topic     0    9678273         9858394         180121          xxx-service-dpqpc-1510557406684-e2171bd6-0
demo-group demo-topic     1    9689443         9873522         184079          xxx-service-dpqpc-1510557406684-e2171bd6-1
demo-group demo-topic     2    9676875         9855874         178999          xxx-service-q7vch-1510557399475-b1d7d22c-0
demo-group demo-topic     3    9683393         9864518         181125          xxx-service-q7vch-1510557399475-b1d7d22c-1
发现消费者的offset与logSize差距太大,lag值都过10w了。

正常的情况

Group           Topic         Pid   Offset          logSize         Lag             Owner
demo-group      demo-topic    0     9860587         9860587         0               demo-group_tomcat2-1512984437115-fc1ee57b-0
demo-group      demo-topic    1     9875814         9875814         0               demo-group_tomcat2-1512984437115-fc1ee57b-0
demo-group      demo-topic    2     9858213         9858214         1               demo-group_tomcat2-1512984437115-fc1ee57b-1
demo-group      demo-topic    3     9866744         9866744         0               demo-group_tomcat2-1512984437115-fc1ee57b-2
像这种lag差距比较少的,是正常的。

查看topic的partition

    Topic:demo-topic    PartitionCount:4    ReplicationFactor:2 Configs:
    Topic: demo-topic   Partition: 0    Leader: 3   Replicas: 3,4   Isr: 4,3
    Topic: demo-topic   Partition: 1    Leader: 4   Replicas: 4,1   Isr: 1,4
    Topic: demo-topic   Partition: 2    Leader: 1   Replicas: 1,2   Isr: 1,2
    Topic: demo-topic   Partition: 3    Leader: 2   Replicas: 2,3   Isr: 2,3
topic是4个分区,因此4个consumer来消费是正常的。
问题可能是消费者消费速度太慢,或者消费者消费异常。

排查

jstack -l pid

2017-12-27 04:06:23
Full thread dump Java HotSpot(TM) 64-Bit Server VM (25.66-b17 mixed mode):

"Attach Listener" #12286 daemon prio=9 os_prio=0 tid=0x00007f2920001000 nid=0x3087 waiting on condition [0x0000000000000000]
   java.lang.Thread.State: RUNNABLE

"ConsumerFetcherThread-xxx-service-dpqpc-1510557406684-e2171bd6-0-3" #9263 prio=5 os_prio=0 tid=0x00007f287400d800 nid=0x2440 waiting on condition [0x00007f285e6eb000]
   java.lang.Thread.State: WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x00000007048874b0> (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.put(LinkedBlockingQueue.java:350)
    at kafka.consumer.PartitionTopicInfo.enqueue(PartitionTopicInfo.scala:60)
    at kafka.consumer.ConsumerFetcherThread.processPartitionData(ConsumerFetcherThread.scala:49)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1$$anonfun$apply$mcV$sp$2.apply(AbstractFetcherThread.scala:128)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1$$anonfun$apply$mcV$sp$2.apply(AbstractFetcherThread.scala:109)
    at scala.collection.immutable.Map$Map1.foreach(Map.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply$mcV$sp(AbstractFetcherThread.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply(AbstractFetcherThread.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply(AbstractFetcherThread.scala:109)
    at kafka.utils.Utils$.inLock(Utils.scala:535)
    at kafka.server.AbstractFetcherThread.processFetchRequest(AbstractFetcherThread.scala:108)
    at kafka.server.AbstractFetcherThread.doWork(AbstractFetcherThread.scala:86)
    at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60)

"ConsumerFetcherThread-xxx-service-dpqpc-1510557406684-e2171bd6-0-4" #9262 prio=5 os_prio=0 tid=0x00007f28740c2800 nid=0x243f waiting on condition [0x00007f291950d000]
   java.lang.Thread.State: WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x00000007048086d8> (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.put(LinkedBlockingQueue.java:350)
    at kafka.consumer.PartitionTopicInfo.enqueue(PartitionTopicInfo.scala:60)
    at kafka.consumer.ConsumerFetcherThread.processPartitionData(ConsumerFetcherThread.scala:49)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1$$anonfun$apply$mcV$sp$2.apply(AbstractFetcherThread.scala:128)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1$$anonfun$apply$mcV$sp$2.apply(AbstractFetcherThread.scala:109)
    at scala.collection.immutable.Map$Map1.foreach(Map.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply$mcV$sp(AbstractFetcherThread.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply(AbstractFetcherThread.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply(AbstractFetcherThread.scala:109)
    at kafka.utils.Utils$.inLock(Utils.scala:535)
    at kafka.server.AbstractFetcherThread.processFetchRequest(AbstractFetcherThread.scala:108)
    at kafka.server.AbstractFetcherThread.doWork(AbstractFetcherThread.scala:86)
    at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60)

"xxx-service-dpqpc-1510557406684-e2171bd6-leader-finder-thread" #9261 prio=5 os_prio=0 tid=0x0000000002302800 nid=0x243e waiting on condition [0x00007f28bd1df000]
   java.lang.Thread.State: WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x0000000703d06518> (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 kafka.consumer.ConsumerFetcherManager$LeaderFinderThread.doWork(ConsumerFetcherManager.scala:61)
    at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60)

"consume-2" #62 prio=5 os_prio=0 tid=0x00007f28f8e86000 nid=0x51 waiting on condition [0x00007f28bd3e1000]
   java.lang.Thread.State: WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x000000070440cd38> (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:1067)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1127)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

"consume-1" #61 prio=5 os_prio=0 tid=0x00007f28f8e84800 nid=0x50 waiting on condition [0x00007f28bd4e2000]
   java.lang.Thread.State: WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x000000070440cd38> (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:1067)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1127)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

"xxx-service-dpqpc-1510557406684-e2171bd6_watcher_executor" #59 prio=5 os_prio=0 tid=0x00007f28fb685800 nid=0x4e waiting on condition [0x00007f28bd8e4000]
   java.lang.Thread.State: TIMED_WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x00000007048878d0> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
    at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)
    at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2163)
    at kafka.consumer.ZookeeperConsumerConnector$ZKRebalancerListener$$anon$1.run(ZookeeperConsumerConnector.scala:544)
上面consume-1以及consume-2是具体的消费kafka的业务线程

error log

2017-12-16 12:53:34.257  INFO 7 --- [0.2.84.118:2181] k.consumer.ZookeeperConsumerConnector    : [xxx-service-q7vch-1510557399475-b1d7d22c], begin rebalancing consumer xxx-service-q7vch-1510557399475-b1d7d22c try #1
2017-12-16 12:53:34.348  INFO 7 --- [0.2.84.118:2181] kafka.consumer.ConsumerFetcherManager    : [ConsumerFetcherManager-1510557399586] Stopping leader finder thread
2017-12-16 12:53:34.348  INFO 7 --- [0.2.84.118:2181] kafka.consumer.ConsumerFetcherManager    : [ConsumerFetcherManager-1510557399586] Stopping all fetchers
2017-12-16 12:53:34.348  INFO 7 --- [0.2.84.118:2181] kafka.consumer.ConsumerFetcherManager    : [ConsumerFetcherManager-1510557399586] All connections stopped
2017-12-16 12:53:34.348  INFO 7 --- [0.2.84.118:2181] k.consumer.ZookeeperConsumerConnector    : [xxx-service-q7vch-1510557399475-b1d7d22c], Cleared all relevant queues for this fetcher
2017-12-16 12:53:34.348  INFO 7 --- [0.2.84.118:2181] k.consumer.ZookeeperConsumerConnector    : [xxx-service-q7vch-1510557399475-b1d7d22c], Cleared the data chunks in all the consumer message iterators
2017-12-16 12:53:34.348  INFO 7 --- [0.2.84.118:2181] k.consumer.ZookeeperConsumerConnector    : [xxx-service-q7vch-1510557399475-b1d7d22c], Committing all offsets after clearing the fetcher queues
日志几乎没有消费到消息的痕迹,但是lag确又有那么多。

一开始看异常日志,找到这个,加上上面的jstack,看到ConsumerFetcherThread一直blocking在PartitionTopicInfo.enqueue,有点怀疑是rebalance引起的死锁或阻塞。之前jstack忘记加-l,无法看到死锁信息。网上查了一下,看到ConsumerFetcherThread deadlock?有提到类似的问题,不过看是14年的帖子的,kafka0.8.2.2版本应该是有修复了才对。紧接着看到

The fetchers are blocked on the queue since it is full, is your consumer
iterator stopped and hence not getting more data from it?

有点开始怀疑是否是自己的业务线程没有捕获异常挂了,因而就没有消费了。重启了下程序,看log,刷刷的消费消息。再jstack对比一下

"ConsumerFetcherThread-xxx-376jt-1514353818187-b37be1c0-0-3" #81 prio=5 os_prio=0 tid=0x00007fe39c004000 nid=0x63 waiting on condition [0x00007fe3931f4000]
   java.lang.Thread.State: WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x00000007822ac4e0> (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.put(LinkedBlockingQueue.java:350)
    at kafka.consumer.PartitionTopicInfo.enqueue(PartitionTopicInfo.scala:60)
    at kafka.consumer.ConsumerFetcherThread.processPartitionData(ConsumerFetcherThread.scala:49)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1$$anonfun$apply$mcV$sp$2.apply(AbstractFetcherThread.scala:128)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1$$anonfun$apply$mcV$sp$2.apply(AbstractFetcherThread.scala:109)
    at scala.collection.immutable.Map$Map1.foreach(Map.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply$mcV$sp(AbstractFetcherThread.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply(AbstractFetcherThread.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply(AbstractFetcherThread.scala:109)
    at kafka.utils.Utils$.inLock(Utils.scala:535)
    at kafka.server.AbstractFetcherThread.processFetchRequest(AbstractFetcherThread.scala:108)
    at kafka.server.AbstractFetcherThread.doWork(AbstractFetcherThread.scala:86)
    at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60)

"ConsumerFetcherThread-xxx-376jt-1514353818187-b37be1c0-0-4" #80 prio=5 os_prio=0 tid=0x00007fe39c003000 nid=0x62 waiting on condition [0x00007fe3926ea000]
   java.lang.Thread.State: WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x00000007821c9a68> (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.put(LinkedBlockingQueue.java:350)
    at kafka.consumer.PartitionTopicInfo.enqueue(PartitionTopicInfo.scala:60)
    at kafka.consumer.ConsumerFetcherThread.processPartitionData(ConsumerFetcherThread.scala:49)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1$$anonfun$apply$mcV$sp$2.apply(AbstractFetcherThread.scala:128)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1$$anonfun$apply$mcV$sp$2.apply(AbstractFetcherThread.scala:109)
    at scala.collection.immutable.Map$Map1.foreach(Map.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply$mcV$sp(AbstractFetcherThread.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply(AbstractFetcherThread.scala:109)
    at kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$1.apply(AbstractFetcherThread.scala:109)
    at kafka.utils.Utils$.inLock(Utils.scala:535)
    at kafka.server.AbstractFetcherThread.processFetchRequest(AbstractFetcherThread.scala:108)
    at kafka.server.AbstractFetcherThread.doWork(AbstractFetcherThread.scala:86)
    at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60)

"xxx-376jt-1514353818187-b37be1c0-leader-finder-thread" #79 prio=5 os_prio=0 tid=0x0000000001f5a000 nid=0x61 waiting on condition [0x00007fe3920e7000]
   java.lang.Thread.State: WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x0000000782154c30> (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 kafka.consumer.ConsumerFetcherManager$LeaderFinderThread.doWork(ConsumerFetcherManager.scala:61)
    at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60)

"consume-2" #62 prio=5 os_prio=0 tid=0x00007fe48da13800 nid=0x51 runnable [0x00007fe392ff1000]
   java.lang.Thread.State: RUNNABLE
    //......
    at org.springframework.data.mongodb.core.MongoTemplate.executeFindMultiInternal(MongoTemplate.java:1948)
    at org.springframework.data.mongodb.core.MongoTemplate.doFind(MongoTemplate.java:1768)
    at org.springframework.data.mongodb.core.MongoTemplate.doFind(MongoTemplate.java:1751)
    at org.springframework.data.mongodb.core.MongoTemplate.find(MongoTemplate.java:625)
    at org.springframework.data.mongodb.core.MongoTemplate.findOne(MongoTemplate.java:590)
    at org.springframework.data.mongodb.core.MongoTemplate.findOne(MongoTemplate.java:582)
    at com.xxx.consumer.KafkaStreamProcessor.process(KafkaStreamProcessor.java:37)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:497)
    at org.springframework.aop.support.AopUtils.invokeJoinpointUsingReflection(AopUtils.java:333)
    at org.springframework.aop.framework.ReflectiveMethodInvocation.invokeJoinpoint(ReflectiveMethodInvocation.java:190)
    at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:157)
    at org.springframework.aop.interceptor.AsyncExecutionInterceptor$1.call(AsyncExecutionInterceptor.java:115)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

"consume-1" #61 prio=5 os_prio=0 tid=0x00007fe48e310000 nid=0x50 runnable [0x00007fe3930f2000]
   java.lang.Thread.State: RUNNABLE
    //...
    at org.springframework.data.mongodb.core.MongoTemplate$12.doInCollection(MongoTemplate.java:1157)
    at org.springframework.data.mongodb.core.MongoTemplate$12.doInCollection(MongoTemplate.java:1137)
    at org.springframework.data.mongodb.core.MongoTemplate.execute(MongoTemplate.java:463)
    at org.springframework.data.mongodb.core.MongoTemplate.doUpdate(MongoTemplate.java:1137)
    at org.springframework.data.mongodb.core.MongoTemplate.upsert(MongoTemplate.java:1099)
    at com.xxx.consumer.KafkaStreamProcessor.process(KafkaStreamProcessor.java:37)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:497)
    at org.springframework.aop.support.AopUtils.invokeJoinpointUsingReflection(AopUtils.java:333)
    at org.springframework.aop.framework.ReflectiveMethodInvocation.invokeJoinpoint(ReflectiveMethodInvocation.java:190)
    at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:157)
    at org.springframework.aop.interceptor.AsyncExecutionInterceptor$1.call(AsyncExecutionInterceptor.java:115)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

"xxx-376jt-1514353818187-b37be1c0_watcher_executor" #59 prio=5 os_prio=0 tid=0x00007fe48fe7c000 nid=0x4e waiting on condition [0x00007fe3934f5000]
   java.lang.Thread.State: TIMED_WAITING (parking)
    at sun.misc.Unsafe.park(Native Method)
    - parking to wait for  <0x0000000782155248> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
    at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)
    at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2163)
    at kafka.consumer.ZookeeperConsumerConnector$ZKRebalancerListener$$anon$1.run(ZookeeperConsumerConnector.scala:544)
对比一下,发现原来怀疑的ConsumerFetcherThread一直blocking在PartitionTopicInfo.enqueue在重启之后还是存在,因此可能是正常的。

在对比下consume-1与consume-2,发现了问题,有问题的线程堆栈没有看到自己的业务方法,而重启之后发现了业务方法。因此问题的原因渐渐明朗,就是因为没有catch异常导致。

业务方法

原来的业务方法大致如下
@Async
public void process(KafkaStream<byte[], byte[]> stream){
    ConsumerIterator<byte[], byte[]> it = stream.iterator();
    while (it.hasNext()) {
        System.out.println(Thread.currentThread().getName()+":"+new String(it.next().message()));
    }
}

这里有个疑问就是线程异常没有catch的话,理论上再次new的线程,id应该递增才对,但是通过实验发现,走async的,抛异常之后,线程id都不变。

spring-core-4.3.13.RELEASE-sources.jar!/org/springframework/util/CustomizableThreadCreator.java

public class CustomizableThreadCreator implements Serializable {
    private final AtomicInteger threadCount = new AtomicInteger(0);
    /**
     * Template method for the creation of a new {@link Thread}.
     * <p>The default implementation creates a new Thread for the given
     * {@link Runnable}, applying an appropriate thread name.
     * @param runnable the Runnable to execute
     * @see #nextThreadName()
     */
    public Thread createThread(Runnable runnable) {
        Thread thread = new Thread(getThreadGroup(), runnable, nextThreadName());
        thread.setPriority(getThreadPriority());
        thread.setDaemon(isDaemon());
        return thread;
    }

    /**
     * Return the thread name to use for a newly created {@link Thread}.
     * <p>The default implementation returns the specified thread name prefix
     * with an increasing thread count appended: e.g. "SimpleAsyncTaskExecutor-0".
     * @see #getThreadNamePrefix()
     */
    protected String nextThreadName() {
        return getThreadNamePrefix() + this.threadCount.incrementAndGet();
    }
    //...
}
这里的threadCount没有看到调用decrement方法,因此如果线程异常挂掉,则理论上新补充的线程id应该是递增的。

/Library/Java/JavaVirtualMachines/jdk1.8.0_71.jdk/Contents/Home/src.zip!/java/util/concurrent/ThreadPoolExecutor.java

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 pool is stopping, ensure thread is interrupted;
                // if not, ensure thread is not interrupted.  This
                // requires a recheck in second case to deal with
                // shutdownNow race while clearing interrupt
                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();
                    } 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);
        }
    }
    
private void processWorkerExit(Worker w, boolean completedAbruptly) {
        if (completedAbruptly) // If abrupt, then workerCount wasn't adjusted
            decrementWorkerCount();

        final ReentrantLock mainLock = this.mainLock;
        mainLock.lock();
        try {
            completedTaskCount += w.completedTasks;
            workers.remove(w);
        } finally {
            mainLock.unlock();
        }

        tryTerminate();

        int c = ctl.get();
        if (runStateLessThan(c, STOP)) {
            if (!completedAbruptly) {
                int min = allowCoreThreadTimeOut ? 0 : corePoolSize;
                if (min == 0 && ! workQueue.isEmpty())
                    min = 1;
                if (workerCountOf(c) >= min)
                    return; // replacement not needed
            }
            addWorker(null, false);
        }
    }    
调试发现completedAbruptly都是false,因而业务线程没有抛异常,这岂不是矛盾了。突然想起async注解的拦截,渐渐豁然开朗。

AsyncExecutionInterceptor

spring-aop-4.3.13.RELEASE-sources.jar!/org/springframework/aop/interceptor/AsyncExecutionInterceptor.java

@Override
    public Object invoke(final MethodInvocation invocation) throws Throwable {
        Class<?> targetClass = (invocation.getThis() != null ? AopUtils.getTargetClass(invocation.getThis()) : null);
        Method specificMethod = ClassUtils.getMostSpecificMethod(invocation.getMethod(), targetClass);
        final Method userDeclaredMethod = BridgeMethodResolver.findBridgedMethod(specificMethod);

        AsyncTaskExecutor executor = determineAsyncExecutor(userDeclaredMethod);
        if (executor == null) {
            throw new IllegalStateException(
                    "No executor specified and no default executor set on AsyncExecutionInterceptor either");
        }

        Callable<Object> task = new Callable<Object>() {
            @Override
            public Object call() throws Exception {
                try {
                    Object result = invocation.proceed();
                    if (result instanceof Future) {
                        return ((Future<?>) result).get();
                    }
                }
                catch (ExecutionException ex) {
                    handleError(ex.getCause(), userDeclaredMethod, invocation.getArguments());
                }
                catch (Throwable ex) {
                    handleError(ex, userDeclaredMethod, invocation.getArguments());
                }
                return null;
            }
        };

        return doSubmit(task, executor, invocation.getMethod().getReturnType());
    }
async注解通过AsyncExecutionInterceptor拦截,然后包了一层,处理了异常,因此线程池里头是没有异常的。

小结

  • 使用kafka消费数据的时候,需要对offset的lag值进行实时监控,以确认消费速度是否ok
  • 调用KafkaStream的iterator消费线程必须catch住异常,否则抛出了异常,就停止消费了。

doc


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