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Posted to users@kafka.apache.org by Zhao Weinan <zh...@gmail.com> on 2015/09/12 12:18:38 UTC
Re: Possible DEAD LOCK for one day at broker controller?
Hi Kishore,
Sorry for the long disappeared. There is no other errors regarding
checkpoint file. This problem occured in our production enviroment, I'll
try to reproduce them but still got no time to do it.
I'll inform you if some thing come up. Thanks again!
2015-08-21 14:15 GMT+08:00 Kishore Senji <ks...@gmail.com>:
> Hi Zhao, Do you see any other errors regarding checkpoint file? Is this
> reproducible by you and if you can you enable debug log level to get more
> info.
>
> On Thu, Aug 20, 2015 at 7:44 AM, Zhao Weinan <zh...@gmail.com> wrote:
>
> > Hi Kishore Senji,
> >
> > I've been busy recovering some data these two days... and found that I
> > maybe hit more serious problem than I thought. I lost almost all data on
> > one broker at least at some time, here is some log from server.log pasted
> > below, and very like the situation described by Jason and Thunder here.
> > <
> >
> http://mail-archives.apache.org/mod_mbox/kafka-users/201504.mbox/%3CCAA%2BBczTUBqg1-tpcUjwfZgZYZyOXC-Myuhd_2EaGkeKWkrCVUQ%40mail.gmail.com%3E
> > >
> >
> > Any idea about this? Why Kafka got segments with no-zero LEO then said No
> > checkpointed highwatermark?
> >
> > From broker's logs/server.log:
> >
> > > [2015-08-16 17:14:35,204] INFO Completed load of log xxxxxx-1 with log
> > end
> > > offset 863967227 (kafka.log.Log)
> > > [2015-08-16 17:15:29,648] WARN Partition [xxxxxx,1] on broker 1: No
> > > checkpointed highwatermark is found for partition [xxxxxx,1]
> > > (kafka.cluster.Partition)
> > > [2015-08-16 17:15:36,887] INFO Truncating log xxxxxx-1 to offset 0.
> > > (kafka.log.Log)
> > > [2015-08-16 17:15:36,887] INFO Scheduling log segment 763102206 for log
> > > xxxxxx-1 for deletion. (kafka.log.Log)
> > > [2015-08-16 17:15:36,888] INFO Scheduling log segment 768984638 for log
> > > xxxxxx-1 for deletion. (kafka.log.Log)
> > > [2015-08-16 17:15:36,888] INFO Scheduling log segment 773712058 for log
> > > xxxxxx-1 for deletion. (kafka.log.Log)
> > > [2015-08-16 17:15:36,888] INFO Scheduling log segment 778002546 for log
> > > xxxxxx-1 for deletion. (kafka.log.Log)
> > > .....
> > > [2015-08-16 17:34:18,168] INFO Scheduling log segment 0 for log
> xxxxxx-1
> > > for deletion. (kafka.log.Log)
> > > [2015-08-16 17:36:37,811] WARN [ReplicaFetcherThread-0-0], Replica 1
> for
> > > partition [xxxxxx,1] reset its fetch offset from 791913697 to current
> > > leader 0's start offset 791913697 (kafka.server.ReplicaFetcherThread)
> > > [2015-08-16 17:36:37,811] ERROR [ReplicaFetcherThread-0-0], Current
> > offset
> > > 0 for partition [xxxxxx,1] out of range; reset offset to 791913697
> > > (kafka.server.ReplicaFetcherThread)
> > >
> > > From broker's logs/controller.log:
> >
> > > [2015-08-16 17:14:41,444] INFO [Controller 1]: Controller starting up
> > > (kafka.controller.KafkaController)
> > > [2015-08-16 17:14:41,492] INFO [Controller 1]: Controller startup
> > complete
> > > (kafka.controller.KafkaController)
> > > [2015-08-16 17:16:24,850] INFO [SessionExpirationListener on 1], ZK
> > > expired; shut down all controller components and try to re-elect
> > > (kafka.controller.KafkaController$SessionExpirationListener)
> > >
> >
> > 2015-08-18 23:43 GMT+08:00 Kishore Senji <ks...@gmail.com>:
> >
> > > Yes you are right. I misread the code. So the only thing that can
> explain
> > > the behavior you are seeing is that may be there are many segments that
> > > need to be deleted all at once. Can you try may be reducing the
> > > retention.ms
> > > in smaller intervals - like reduce it to 9 days from 10 days and see if
> > the
> > > brokers are fine.
> > >
> > > On Tue, Aug 18, 2015 at 12:48 AM Zhao Weinan <zh...@gmail.com>
> wrote:
> > >
> > > > Hi Kishore Senji,
> > > >
> > > > Did you constantly send messages to your test topic? Or just one time
> > > send?
> > > > I've just did some test, the log.lastModified is updated with every
> > > message
> > > > received (or every flush to disk at least). So I think if your
> interval
> > > > between two neibouring messages is never smaller than retention.ms,
> > then
> > > > your current segments should never be deleted.
> > > >
> > > > The wired thing is the offset of one partition in my data-loss-topic
> > > became
> > > > to be zero, while offsets in other partition are normally minimum...
> > > >
> > > > 2015-08-18 14:45 GMT+08:00 Kishore Senji <ks...@gmail.com>:
> > > >
> > > > > It is log.deleteOldSegments(startMs - _.lastModified >
> > > > > log.config.retentionMs)
> > > > >
> > > > > You might have missed the startMs.
> > > > >
> > > > > I have tested it myself. I created a test topic with retention.ms
> > > equal
> > > > to
> > > > > 20 minutes and added some messages. Later I changed the
> retention.ms
> > > to
> > > > 2
> > > > > min. I can see whenever the delete thread runs (every five min), it
> > > > deletes
> > > > > even the latest Segment because that Segment age is older than
> > > > > retention.ms
> > > > >
> > > > >
> > > > > On Mon, Aug 17, 2015 at 11:30 PM, Zhao Weinan <zh...@gmail.com>
> > > > wrote:
> > > > >
> > > > > > Hi Kishore Senji,
> > > > > >
> > > > > > The size of segement file is default 1GB.
> > > > > >
> > > > > > According to the LogManager.scala#cleanupExpiredSegments, Kafka
> > will
> > > > only
> > > > > > delete segments whose lastModTime is older than retention.ms,
> so I
> > > > dont
> > > > > > think this is the reason for my data loss. Actually I lost some
> > data
> > > in
> > > > > > topic other than the topic I reduced the retention...
> > > > > >
> > > > > > I dont know whether destage these several GB files will cause
> this
> > > kind
> > > > > of
> > > > > > system chattering, though we do use not very fancy hardwares.
> > > > > >
> > > > > > 2015-08-18 7:48 GMT+08:00 Kishore Senji <ks...@gmail.com>:
> > > > > >
> > > > > > > What is the size of the segment file? You are reducing the
> > > retention
> > > > > from
> > > > > > > 10 days to 1 day. The moment you do this, it will delete all
> > > segments
> > > > > > which
> > > > > > > are older than 1 day. So for example, if your latest segment is
> > > older
> > > > > > than
> > > > > > > 1 day and if there are consumers which are still catching up
> (let
> > > us
> > > > > say
> > > > > > 10
> > > > > > > min lag), Kafka will roll over and delete the older segments
> and
> > > > there
> > > > > is
> > > > > > > potential for data loss. One pattern could be to make sure you
> > > change
> > > > > > this
> > > > > > > config parameter only when a new segment is created and all
> > > consumers
> > > > > are
> > > > > > > on the new segment and also make sure all clients will be done
> > with
> > > > the
> > > > > > > segment before the file is deleted.
> > > > > > >
> > > > > > > My guess is that your segment file is huge and the OS may be
> > > taking a
> > > > > > long
> > > > > > > time to destage the file cache on to disk before letting it to
> be
> > > > > > deleted.
> > > > > > > This could be the reason for long pause which could be causing
> > the
> > > Zk
> > > > > > > connections to be timed out.
> > > > > > >
> > > > > > >
> > > > > > >
> > > > > > > On Mon, Aug 17, 2015 at 6:59 AM Zhao Weinan <
> zhaown.x@gmail.com>
> > > > > wrote:
> > > > > > >
> > > > > > > > Hi Kishore Senji,
> > > > > > > >
> > > > > > > > Thanks for the reply.
> > > > > > > >
> > > > > > > > Do you have some suggestions before the fix came up? Try not
> to
> > > > > modify
> > > > > > > the
> > > > > > > > retention.ms? Or disable the auto rebalance? Cause this
> > problem
> > > is
> > > > > > 100%
> > > > > > > > reproduceable in my scenario (two times got dead lock in two
> > > > > > > retention.ms
> > > > > > > > modification), and I even found some data loss which I'm
> still
> > > > > looking
> > > > > > > for
> > > > > > > > the reason.
> > > > > > > >
> > > > > > > > Any idea on why shrinking the retention.ms causes the
> network
> > > > > > unstable?
> > > > > > > >
> > > > > > > > And yes I use the comma for clarity :)
> > > > > > > >
> > > > > > > > 2015-08-17 8:59 GMT+08:00 Kishore Senji <ks...@gmail.com>:
> > > > > > > >
> > > > > > > > > Interesting problem you ran in to. It seems like this
> broker
> > > was
> > > > > > chosen
> > > > > > > > as
> > > > > > > > > the Controller and onControllerFailure() method was called.
> > > This
> > > > > will
> > > > > > > > > schedule the checkAndTriggerPartitionRebalance method to
> > > execute
> > > > > > after
> > > > > > > 5
> > > > > > > > > seconds (when auto rebalance enabled). In the mean time
> this
> > > > broker
> > > > > > > lost
> > > > > > > > > zookeeper connection and so this broker resigns from the
> > > > Controller
> > > > > > > > status
> > > > > > > > > and so the onControllerResignation() method is called and
> > this
> > > > > method
> > > > > > > > will
> > > > > > > > > try to shutdown the auto rebalance executor. But it is
> doing
> > > it
> > > > by
> > > > > > > > holding
> > > > > > > > > the lock and this is what caused the dead lock in your
> case.
> > > > > > > > >
> > > > > > > > > I do not think we need to hold the lock to shutdown the
> > > executor.
> > > > > > This
> > > > > > > > > could be the fix we might need.
> > > > > > > > >
> > > > > > > > > retention.ms config parameter should not have commas in
> the
> > > > value.
> > > > > > Are
> > > > > > > > you
> > > > > > > > > just using it here to clarify for us.
> > > > > > > > >
> > > > > > > > > It so happened in your
> > > > > > > > > On Sun, Aug 16, 2015 at 1:52 AM Zhao Weinan <
> > > zhaown.x@gmail.com>
> > > > > > > wrote:
> > > > > > > > >
> > > > > > > > > > Hi guys,
> > > > > > > > > >
> > > > > > > > > > I got this problem, after changing one topic's config to
> > > > > > > > > > retention.ms=86,400,000
> > > > > > > > > > from 864,000,000, the brokers start to shedule and do
> > > deletions
> > > > > of
> > > > > > > > > outdated
> > > > > > > > > > index of that topic.
> > > > > > > > > >
> > > > > > > > > > Then for some reason some brokers' connection with
> > zookeeper
> > > > were
> > > > > > > > > expired,
> > > > > > > > > > suddenly lots of ERRORs showed up in logs/server.log: At
> > > > > controller
> > > > > > > > > > broker(id=5) are:
> > > > > > > > > >
> > > > > > > > > > > *ERROR [ReplicaFetcherThread-2-4], Error for partition
> > > > > [XXXXX,4]
> > > > > > to
> > > > > > > > > > broker
> > > > > > > > > > > 4:class kafka.common.NotLeaderForPartitionException
> > > > > > > > > > > (kafka.server.ReplicaFetcherThread).*
> > > > > > > > > > >
> > > > > > > > > > At other broker which the controller broker try to fetch
> > are:
> > > > > > > > > >
> > > > > > > > > > > *[Replica Manager on Broker 4]: Fetch request with
> > > > correlation
> > > > > id
> > > > > > > > > 1920630
> > > > > > > > > > > from client ReplicaFetcherThread-2-4 on partition
> > [XXXXX,4]
> > > > > > failed
> > > > > > > > due
> > > > > > > > > to
> > > > > > > > > > > Leader not local for partition [XXXXXXX,4] on broker 4
> > > > > > > > > > > (kafka.server.ReplicaManager).*
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > > > In controller broker's server.log there are zk
> > reconnections:
> > > > > > > > > >
> > > > > > > > > > > *INFO Client session timed out, have not heard from
> > server
> > > in
> > > > > > > 5126ms
> > > > > > > > > for
> > > > > > > > > > > sessionid 0x54e0aaa9582b8e4, closing socket connection
> > and
> > > > > > > attempting
> > > > > > > > > > > reconnect (org.apache.zookeeper.ClientCnxn)*
> > > > > > > > > > > *INFO zookeeper state changed (Disconnected)
> > > > > > > > > > > (org.I0Itec.zkclient.ZkClient)*
> > > > > > > > > > > *NFO Opening socket connection to server xxxxxxxxxxx.
> > Will
> > > > not
> > > > > > > > attempt
> > > > > > > > > to
> > > > > > > > > > > authenticate using SASL (java.lang.SecurityException:
> > > Unable
> > > > to
> > > > > > > > locate
> > > > > > > > > a
> > > > > > > > > > > login configuration) (org.apache.zookeeper.ClientCnxn)*
> > > > > > > > > > > *INFO Socket connection established to xxxxxxxxxxxxx,
> > > > > initiating
> > > > > > > > > session
> > > > > > > > > > > (org.apache.zookeeper.ClientCnxn)*
> > > > > > > > > > > *INFO Session establishment complete on server
> > xxxxxxxxxx,
> > > > > > > sessionid
> > > > > > > > =
> > > > > > > > > > > 0x54e0aaa9582b8e4, negotiated timeout = 6000
> > > > > > > > > > > (org.apache.zookeeper.ClientCnxn)*
> > > > > > > > > > > *INFO zookeeper state changed (SyncConnected)
> > > > > > > > > > > (org.I0Itec.zkclient.ZkClient)*
> > > > > > > > > > >
> > > > > > > > > > But on zookeeper /brokers/ids/ there is no controller
> > > broker's
> > > > id
> > > > > > 5.
> > > > > > > > > >
> > > > > > > > > > Then I tried to restart the controller broker, found the
> > > > process
> > > > > > > won't
> > > > > > > > > > quit.
> > > > > > > > > >
> > > > > > > > > > Then I jstacked it, found the broker process kind of
> > stucked,
> > > > > some
> > > > > > > > > > keypoints pasted as below. It seems
> > > zk-client-expired-callback
> > > > > > > aquired
> > > > > > > > > the
> > > > > > > > > > controllerLock and wait the kafka-scheduler Executor to
> > exit
> > > > (for
> > > > > > one
> > > > > > > > > day),
> > > > > > > > > > but some thread in that Executor is doing Rebalance job
> > which
> > > > > need
> > > > > > to
> > > > > > > > > > aquire the controllerLock, then the broker is in DEAD
> LOCK
> > > and
> > > > > will
> > > > > > > be
> > > > > > > > > > totally lost from zookeeper for ONE DAY if I'm corrected?
> > And
> > > > > since
> > > > > > > > it's
> > > > > > > > > > still hold outdated view of the cluster, it will try to
> try
> > > to
> > > > > > > follower
> > > > > > > > > up
> > > > > > > > > > the Leaders which maybe not actual Leader, caused the
> > ERRORs
> > > as
> > > > > > above
> > > > > > > > > > mentioned.
> > > > > > > > > >
> > > > > > > > > > I'm using 8 Kafka brokers @0.8.2.1 with 3 Zookeeper
> server
> > > > > @3.4.6,
> > > > > > > all
> > > > > > > > > on
> > > > > > > > > > different host in same data center, the cluster load is
> > about
> > > > > 200K
> > > > > > > > > messages
> > > > > > > > > > in and 30M bytes in and 80M bytes out totally.
> > > > > > > > > >
> > > > > > > > > > Does some one has the same issue? Any suggestion is
> > > > appreciated.
> > > > > > > > > >
> > > > > > > > > >
> > > > > > > > > > jstack:
> > > > > > > > > >
> > > > > > > > > > > "kafka-scheduler-0" daemon prio=10
> tid=0x0000000057967800
> > > > > > > nid=0x2994
> > > > > > > > > > > waiting on condition [0x0000000046dac000]
> > > > > > > > > > > java.lang.Thread.State: WAITING (parking)
> > > > > > > > > > > at sun.misc.Unsafe.park(Native Method)
> > > > > > > > > > > - parking to wait for <0x00000000c2ec6418> (a
> > > > > > > > > > > java.util.concurrent.locks.ReentrantLock$NonfairSync)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > java.util.concurrent.locks.LockSupport.park(LockSupport.java:156)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:811)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireQueued(AbstractQueuedSynchronizer.java:842)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.locks.AbstractQueuedSynchronizer.acquire(AbstractQueuedSynchronizer.java:1178)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.locks.ReentrantLock$NonfairSync.lock(ReentrantLock.java:186)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > >
> > > java.util.concurrent.locks.ReentrantLock.lock(ReentrantLock.java:262)
> > > > > > > > > > > at kafka.utils.Utils$.inLock(Utils.scala:533)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController$$anonfun$kafka$controller$KafkaController$$checkAndTriggerPartitionRebalance$4.apply(KafkaController.scala:1131)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController$$anonfun$kafka$controller$KafkaController$$checkAndTriggerPartitionRebalance$4.apply(KafkaController.scala:1127)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > >
> > > > >
> > scala.collection.immutable.HashMap$HashMap1.foreach(HashMap.scala:224)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > >
> > > > > > >
> > > > >
> > >
> scala.collection.immutable.HashMap$HashTrieMap.foreach(HashMap.scala:403)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController.kafka$controller$KafkaController$$checkAndTriggerPartitionRebalance(KafkaController.scala:1127)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController$$anonfun$onControllerFailover$1.apply$mcV$sp(KafkaController.scala:326)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.utils.KafkaScheduler$$anonfun$1.apply$mcV$sp(KafkaScheduler.scala:99)
> > > > > > > > > > > at
> kafka.utils.Utils$$anon$1.run(Utils.scala:54)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > >
> > > > >
> > java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:441)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.FutureTask$Sync.innerRunAndReset(FutureTask.java:317)
> > > > > > > > > > > at
> > > > > > > > > >
> > > > java.util.concurrent.FutureTask.runAndReset(FutureTask.java:150)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$101(ScheduledThreadPoolExecutor.java:98)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.runPeriodic(ScheduledThreadPoolExecutor.java:180)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:204)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
> > > > > > > > > > > at java.lang.Thread.run(Thread.java:662)
> > > > > > > > > > >
> > > > > > > > > > "ZkClient-EventThread-15-xxxxxxxxxxxxxxxxxxxxx" daemon
> > > prio=10
> > > > > > > > > > > tid=0x00002aaab42ba800 nid=0x24c4 waiting on condition
> [
> > > > > > > > > > > 0x00000000402e8000]
> > > > > > > > > > > java.lang.Thread.State: TIMED_WAITING (parking)
> > > > > > > > > > > at sun.misc.Unsafe.park(Native Method)
> > > > > > > > > > > - parking to wait for <0x00000000f4c450b8> (a
> > > > > > > > > > >
> > > > > > > >
> > > > >
> > java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > >
> > > > >
> > java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:196)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2025)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> java.util.concurrent.ThreadPoolExecutor.awaitTermination(ThreadPoolExecutor.java:1253)
> > > > > > > > > > > at
> > > > > > > > kafka.utils.KafkaScheduler.shutdown(KafkaScheduler.scala:88)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController.onControllerResignation(KafkaController.scala:350)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController$SessionExpirationListener$$anonfun$handleNewSession$1.apply$mcZ$sp(KafkaController.scala:1108)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController$SessionExpirationListener$$anonfun$handleNewSession$1.apply(KafkaController.scala:1107)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController$SessionExpirationListener$$anonfun$handleNewSession$1.apply(KafkaController.scala:1107)
> > > > > > > > > > > at kafka.utils.Utils$.inLock(Utils.scala:535)
> > > > > > > > > > > at
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> kafka.controller.KafkaController$SessionExpirationListener.handleNewSession(KafkaController.scala:1107)
> > > > > > > > > > > at
> > > > > org.I0Itec.zkclient.ZkClient$4.run(ZkClient.java:472)
> > > > > > > > > > > at
> > > > > > > > org.I0Itec.zkclient.ZkEventThread.run(ZkEventThread.java:71)
> > > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
>