Currently, when a topic is created, we require # live brokers to be at
least # replicas. Once the topic is created, live brokers can be less than
# replicas.
Thanks,
Jun
On Thu, Dec 12, 2013 at 6:27 AM, Barto Rael <abcduser786@gmail.com> wrote:
> Hi All,
>
> We are having kafka cluster of 2 nodes. (Using Kafka 0.8.0 version)
> Replication Factor: 2
> Number of partitions: 2
>
> If any one node goes down then topic is not created in kafka. Since we are
> using two nodes so second node is automatically elected as leader node if
> down node was leader.
>
> Below is exception trace:
>
> 2013-12-12 19:37:19 0 [WARN ] ClientUtils$ - Fetching topic metadata with
> correlation id 3 for topics [Set(test-topic)] from broker
> [id:0,host:122.98.12.11,port:9092] failed
> java.net.ConnectException: Connection refused
> at sun.nio.ch.Net.connect(Native Method)
> at sun.nio.ch.SocketChannelImpl.connect(SocketChannelImpl.java:500)
> at kafka.network.BlockingChannel.connect(BlockingChannel.scala:57)
> at kafka.producer.SyncProducer.connect(SyncProducer.scala:146)
> at
> kafka.producer.SyncProducer.getOrMakeConnection(SyncProducer.scala:161)
> at
>
> kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:68)
> at kafka.producer.SyncProducer.send(SyncProducer.scala:112)
> at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:53)
> at
> kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
> at
>
> kafka.producer.BrokerPartitionInfo.getBrokerPartitionInfo(BrokerPartitionInfo.scala:49)
> at
>
> kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$getPartitionListForTopic(DefaultEventHandler.scala:186)
> at
>
> kafka.producer.async.DefaultEventHandler$$anonfun$partitionAndCollate$1.apply(DefaultEventHandler.scala:150)
> at
>
> kafka.producer.async.DefaultEventHandler$$anonfun$partitionAndCollate$1.apply(DefaultEventHandler.scala:149)
> at
>
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:57)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:43)
> at
>
> kafka.producer.async.DefaultEventHandler.partitionAndCollate(DefaultEventHandler.scala:149)
> at
>
> kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:95)
> at
>
> kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:72)
> at kafka.producer.Producer.send(Producer.scala:76)
> at kafka.javaapi.producer.Producer.send(Producer.scala:33)
>
>
> Please Help !!
>
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