How do I connect to kafka cluster on Virtualbox? - networking

Question

Here's my setup on local: 3 VMs (using Virtualbox), kafka and zookeeper installed on all three. They are all talking to each other as well.
I am trying to use kafka-console-producer from my local, which requires broker-list. I am supplying the IPs of my VMs but it doesn't seem to be working. I've tried the advertised.host properties on the VMs too but has no effect for me. Here's my server.properties from the three machines:
Server 1:
broker.id=4
port=9092
host.name=10.30.3.4
advertised.host.name=10.30.3.4
advertised.port=9092
zookeeper.connect=10.30.3.4:2181
zookeeper.connection.timeout.ms=6000
Server 2:
broker.id=3
port=9092
host.name=10.30.3.3
advertised.host.name=10.30.3.3
advertised.port=9092
zookeeper.connect=10.30.3.3:2181
zookeeper.connection.timeout.ms=6000
Server 3:
broker.id=2
port=9092
host.name=10.30.3.2
advertised.host.name=10.30.3.2
advertised.port=9092
zookeeper.connect=10.30.3.2:2181
zookeeper.connection.timeout.ms=6000
My virtualbox also has port forwarding setup:
Similarly for other two machines too ports are only tweaked a bit.
I am able to connect to zookeeper just fine, so:
bin/zkCli.sh -server 127.0.0.1:9999
is able to connect to zookeeper on VM. But if I try connecting kafka-console-producer it fails when I try sending messages:
bin/kafka-console-producer.sh --broker-list 127.0.0.1:9502 --topic partition2replica2 --timeout 3000
leads to:
[2016-02-17 15:06:36,943] WARN Property topic is not valid (kafka.utils.VerifiableProperties)
hi
there
[2016-02-17 15:07:23,699] WARN Failed to send producer request with correlation id 3 to broker 3 with data for partitions [partition2replica2,1] (kafka.producer.async.DefaultEventHandler)
java.nio.channels.ClosedChannelException
at kafka.network.BlockingChannel.send(BlockingChannel.scala:100)
at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SyncProducer.scala:103)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:103)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:103)
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
at kafka.producer.SyncProducer$$anonfun$send$1.apply$mcV$sp(SyncProducer.scala:102)
at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:102)
at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:102)
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
at kafka.producer.SyncProducer.send(SyncProducer.scala:101)
at kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$send(DefaultEventHandler.scala:255)
at kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:106)
at kafka.producer.async.DefaultEventHandler$$anonfun$dispatchSerializedData$2.apply(DefaultEventHandler.scala:100)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
at kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:100)
at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:72)
at kafka.producer.async.ProducerSendThread.tryToHandle(ProducerSendThread.scala:105)
at kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:88)
at kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:68)
at scala.collection.immutable.Stream.foreach(Stream.scala:547)
at kafka.producer.async.ProducerSendThread.processEvents(ProducerSendThread.scala:67)
at kafka.producer.async.ProducerSendThread.run(ProducerSendThread.scala:45)
[2016-02-17 15:07:25,318] WARN Failed to send producer request with correlation id 7 to broker 3 with data for partitions [partition2replica2,1] (kafka.producer.async.DefaultEventHandler)
java.nio.channels.ClosedChannelException
at kafka.network.BlockingChannel.send(BlockingChannel.scala:100)
at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SyncProducer.scala:103)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:103)
at kafka.producer.SyncProducer$$anonfun$send$1$$anonfun$apply$mcV$sp$1.apply(SyncProducer.scala:103)
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
at kafka.producer.SyncProducer$$anonfun$send$1.apply$mcV$sp(SyncProducer.scala:102)
at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:102)
at kafka.producer.SyncProducer$$anonfun$send$1.apply(SyncProducer.scala:102)
at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33)
at kafka.producer.SyncProducer.send(SyncProducer.scala:101)
at kafka.producer.async.DefaultEventHandler.kafka$producer$async
Not sure what I am doing wrong here? Any ideas? (I can provide ifconfig output if anyone wants). Any help will be appreciated.
[Edit 1]: Adding output of zookeeper quorum:
That seems to be in quorum:
echo stat| nc 10.30.3.2 2181
Received: 81
Sent: 80
Connections: 1
Outstanding: 0
Mode: follower
Node count: 149
echo stat| nc 10.30.3.3 2181
Received: 660
Sent: 664
Connections: 1
Outstanding: 0
Zxid: 0x600000109
Mode: leader
Node count: 149
echo stat| nc 10.30.3.4 2181
Received: 293
Sent: 295
Connections: 1
Outstanding: 0
Zxid: 0x600000109
Mode: follower
Node count: 149

Answer 1

As far as I can understand your setup, the zookeepers on each node should also been in Quorum with each other to support the 3 kafka servers instances as one cluster. You have provided kafka config only, so I cannot make out if they are configured that way.
You can check by using the 4 letter command on each zookeeper node like below
echo stat | nc <zk ip> <zk port>
echo mntr | nc <zk ip> <zk port>
One should be a "leader" and other two should be "followers".
I am not sure if they will work as expected if they are not configured to be in quorum.