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https://issues.apache.org/jira/browse/KAFKA-1182?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13894736#comment-13894736
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Jay Kreps commented on KAFKA-1182:
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1. Yes, right? Logically what does it mean to say that data is replicated 2
times if there is only one server? That is kind of the point, right? :-)
2. There is a distinction between the node count and the in-sync nodes. As per
(1) you definitely shouldn't be able to create a replication factor of X if
your node count is less than X. But it could be possible to create a topic and
assign some replicas to down nodes, I'm just not really sure of the utility of
doing this.
3. I don't understand what you are saying here.
> Topic not created if number of live brokers less than # replicas
> ----------------------------------------------------------------
>
> Key: KAFKA-1182
> URL: https://issues.apache.org/jira/browse/KAFKA-1182
> Project: Kafka
> Issue Type: Improvement
> Components: producer
> Affects Versions: 0.8.0
> Environment: Centos 6.3
> Reporter: Hanish Bansal
> Assignee: Jun Rao
>
> We are having kafka cluster of 2 nodes. (Using Kafka 0.8.0 version)
> Replication Factor: 2
> Number of partitions: 2
> Actual Behaviour:
> Out of two nodes, if any one node goes down then topic is not created in
> kafka.
> Steps to Reproduce:
> 1. Create a 2 node kafka cluster with replication factor 2
> 2. Start the Kafka cluster
> 3. Kill any one node
> 4. Start the producer to write on a new topic
> 5. Observe the exception stated below:
> 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)
> Expected Behaviour:
> In case of live brokers less than # replicas:
> There should be topic created so at least live brokers can receive the data.
> They can replicate data to other broker once any down broker comes up.
> Because now in case of live brokers less than # replicas, there is complete
> loss of data.
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