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Kafka, mail # user - Leader doesn't get assigned for new topics


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Re: Leader doesn't get assigned for new topics
Rajasekar Elango 2013-09-13, 21:50
We have 3 zookeeper node in the cluster with a hardware load balancer .  In
one of the zookeeper, we did not configure ensemble correctly (server.n
property in zoo.cfg) . So it ended up as like 2 nodes in one cluster, one
node in other cluster. The load balancer is randomly hitting one of 2
zookeepers in two different cluster.

Thanks,
Raja.
On Fri, Sep 13, 2013 at 1:04 PM, Neha Narkhede <[EMAIL PROTECTED]>wrote:

> Just curious to know, what was the misconfiguration?
>
>
> On Fri, Sep 13, 2013 at 10:02 AM, Rajasekar Elango
> <[EMAIL PROTECTED]>wrote:
>
> > Thanks Neha and Jun, It turned out to be miss configuration in our
> > zookeeper cluster. After correcting it everything looks good.
> >
> > Thanks,
> > Raja.
> >
> >
> > On Fri, Sep 13, 2013 at 10:13 AM, Jun Rao <[EMAIL PROTECTED]> wrote:
> >
> > > Any error in the controller and the state-change log? Are brokers 2,3,4
> > > alive?
> > >
> > > Thanks,
> > >
> > > Jun
> > >
> > >
> > > On Thu, Sep 12, 2013 at 4:56 PM, Rajasekar Elango <
> > [EMAIL PROTECTED]
> > > >wrote:
> > >
> > > > We are seeing a problem that we we try to send messages to new topic
> it
> > > > fails kafka.common.LeaderNotAvailableException. But usually this
> > problem
> > > > will be transient and if we re-send messages to same topic will work.
> > But
> > > > now we tried rending message to same topic several time, but still
> > fails
> > > > with same error:
> > > >
> > > > In the server log I see ] Auto creation of topic test-sjl2 with 8
> > > > partitions and replication factor 3 is successful!. But listTopics
> > > command
> > > > shows leader "none" like below:
> > > >
> > > > topic: test-sjl2        partition: 0    leader: none    replicas:
> 2,4,3
> > > > isr:
> > > > topic: test-sjl2        partition: 1    leader: none    replicas:
> 3,2,4
> > > > isr:
> > > > topic: test-sjl2        partition: 2    leader: none    replicas:
> 4,3,2
> > > > isr:
> > > > topic: test-sjl2        partition: 3    leader: none    replicas:
> 2,3,4
> > > > isr:
> > > > topic: test-sjl2        partition: 4    leader: none    replicas:
> 3,4,2
> > > > isr:
> > > > topic: test-sjl2        partition: 5    leader: none    replicas:
> 4,2,3
> > > > isr:
> > > > topic: test-sjl2        partition: 6    leader: none    replicas:
> 2,4,3
> > > > isr:
> > > > topic: test-sjl2        partition: 7    leader: none    replicas:
> 3,2,4
> > > > isr:
> > > >
> > > > I also see following NotLeaderForPatritionExcetion and
> > ZookeeperExcetion
> > > in
> > > > logs
> > > >
> > > > kafka.common.NotLeaderForPartitionException
> > > >         at
> > sun.reflect.GeneratedConstructorAccessor19.newInstance(Unknown
> > > > Source)
> > > >         at
> > > >
> > > >
> > >
> >
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27)
> > > >         at
> > > java.lang.reflect.Constructor.newInstance(Constructor.java:513)
> > > >         at java.lang.Class.newInstance0(Class.java:355)
> > > >         at java.lang.Class.newInstance(Class.java:308)
> > > >         at
> > kafka.common.ErrorMapping$.exceptionFor(ErrorMapping.scala:70)
> > > >         at
> > > >
> > > >
> > >
> >
> kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$4$$anonfun$apply$5.apply(AbstractFetcherThread.scala:158)
> > > >         at
> > > >
> > > >
> > >
> >
> kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$4$$anonfun$apply$5.apply(AbstractFetcherThread.scala:158)
> > > >         at kafka.utils.Logging$class.warn(Logging.scala:88)
> > > >         at
> > > kafka.utils.ShutdownableThread.warn(ShutdownableThread.scala:23)
> > > >         at
> > > >
> > > >
> > >
> >
> kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$4.apply(AbstractFetcherThread.scala:157)
> > > >         at
> > > >
> > > >
> > >
> >
> kafka.server.AbstractFetcherThread$$anonfun$processFetchRequest$4.apply(AbstractFetcherThread.scala:113)
> > > >         at
> > > >
> scala.collection.immutable.HashMap$HashMap1.foreach(HashMap.scala:178)

Thanks,
Raja.