如何在Virtualbox上连接到kafka群集?

时间:2016-02-17 23:11:32

标签: networking vagrant virtualbox apache-kafka kafka-producer-api

这是我在本地的设置:3个虚拟机(使用Virtualbox),kafka和zookeeper安装在这三个上。他们都在互相交谈。

我正在尝试使用本地的kafka-console-producer,这需要broker-list。我正在提供我的虚拟机的IP,但它似乎并没有起作用。我也在虚拟机上尝试过advertised.host属性,但对我没有任何影响。这是我的三台机器的server.properties:

服务器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

服务器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

服务器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

我的虚拟机也有端口转发设置: enter image description here 类似地,对于其他两台机器,端口仅稍微调整一下。

我能够很好地连接到zookeeper,所以:

bin/zkCli.sh -server 127.0.0.1:9999

能够在VM上连接到zookeeper。但是,如果我尝试连接kafka-console-producer,当我尝试发送消息时它会失败:

bin/kafka-console-producer.sh --broker-list 127.0.0.1:9502 --topic partition2replica2 --timeout 3000

导致:

[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

不确定我在这里做错了什么?有任何想法吗? (如果有人想要,我可以提供ifconfig输出)。任何帮助将不胜感激。

[编辑1]:添加zookeeper仲裁的输出:

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

1 个答案:

答案 0 :(得分:0)

据我了解您的设置,每个节点上的动物园管理员也应该在Quorum中相互支持3个kafka服务器实例作为一个群集。你只提供了kafka配置,所以我无法确定它们是否以这种方式配置。

您可以在每个zookeeper节点上使用4个字母命令进行检查,如下所示

echo stat | nc <zk ip> <zk port>
echo mntr | nc <zk ip> <zk port>

一个人应该是领导者&#34;其他两个应该是&#34;粉丝&#34;。

我不确定如果他们没有配置为法定人数,他们是否会按预期工作。