Looks like you only have 4 messages in your topic and no more messages got
sent

2015-02-19 20:09:34,661] DEBUG initial fetch offset of consolemm:0: fetched
offset = 4: consumed offset = 4 is 4 (kafka.consumer.PartitionTopicInfo

You can try sending more messages to topic or give the MM a different
consumer group id and set auto.offset.reset=smallest

On Friday, February 20, 2015, Alex Melville <amelvi...@g.hmc.edu> wrote:

> Tao,
>
>
> I updated the mirrorconsumer.properties config file as you suggested, and
> upped the MM's log level to DEBUG. I have the output of the DEBUG logger
> here in this pastebin, if you could take a minute to look for anything in
> its contents that would indicate a problem that would be extremely helpful.
> Note that my servers hostnames are of the form ad-010X or ba-0X where X is
> some integer between 1 and 4.
>
> http://pastebin.com/rBsxx15A
>
> When I run the mirrormaker and then spin up a console consumer to read from
> the source cluster, I get 0 messages consumed.
>
>
> Alex
>
> On Sun, Feb 15, 2015 at 3:00 AM, tao xiao <xiaotao...@gmail.com
> <javascript:;>> wrote:
>
> > Alex,
> >
> > Are you sure you have data continually being sent to the topic in source
> > cluster after you bring up MM? By default auto.offset.reset=largest in MM
> > consumer config which means MM only fetches the largest offset if the
> > consumer group has no initial offset in zookeeper.
> >
> > You can have MM print more log by changing the log level in
> > config/tools-log4j.properties
> >
> > On Sun, Feb 15, 2015 at 8:39 AM, Alex Melville <amelvi...@g.hmc.edu
> <javascript:;>>
> > wrote:
> >
> > > Hi Kafka'ers,
> > >
> > >
> > > I am trying to get the Mirrormaker working with two separate clusters,
> > one
> > > as the source and the other as the target. The topic I'm trying to copy
> > > over exists on both the source and target clusters. Here are the
> relevant
> > > entries in my consumer and producer properties files, which I'm
> > specifying
> > > the command I run to start the MM:
> > >
> > > *mirrorconsumer.properties:*
> > > zookeeper.connect=ad-0104:2181
> > > zookeeper.connection.timeout.ms=6000
> > > group.id=test-consumer-group
> > >
> > >
> > > *mirrorproducer.properties:*
> > > metadata.broker.list=ba-02:9092,ba-03:9092
> > > producer.type=sync
> > > compression.codec=none
> > > serializer.class=kafka.serializer.DefaultEncoder
> > >
> > >
> > > Then I run the following command:
> > > bin/kafka-run-class.sh kafka.tools.MirrorMaker --consumer.config
> > >  ../config/mirrorconsumer.properties --producer.config
> > > ../config/mirrorproducer.properties --whitelist consolemm
> > >
> > > so consolemm is the topic I'm trying to copy over. I've created
> consolemm
> > > and have used to console-consumer to verify that there are messages in
> > the
> > > topic.
> > >
> > > When I run this command... nothing happens. The process keeps running
> and
> > > prints nothing to the Terminal. If I look in the output of the
> zookeeper
> > on
> > > the source cluster I get only the following:
> > >
> > > [2015-02-15 00:34:06,102] INFO Accepted socket connection from /
> > > 10.7.162.75:42819 (org.apache.zookeeper.server.NIOServerCnxnFactory)
> > > [2015-02-15 00:34:06,104] INFO Client attempting to establish new
> session
> > > at /10.7.162.75:42819 (org.apache.zookeeper.server.ZooKeeperServer)
> > > [2015-02-15 00:34:06,106] INFO Established session 0x14b668b0fbe0033
> with
> > > negotiated timeout 6000 for client /10.7.162.75:42819
> > > (org.apache.zookeeper.server.ZooKeeperServer)
> > >
> > >
> > > and when I look at the output of one of the brokers on the source
> > cluster I
> > > get:
> > >
> > > [2015-02-15 00:32:14,382] INFO Closing socket connection to /
> 10.7.162.75
> > .
> > > (kafka.network.Processor)
> > >
> > > and there is no output on the zookeeper on the target cluster.
> > >
> > >
> > >
> > > Any advice on what is causing MM to not properly copy over data to the
> > > target cluster would be extremely helpful.
> > >
> > > -Alex
> > >
> >
> >
> >
> > --
> > Regards,
> > Tao
> >
>


-- 
Regards,
Tao

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