Kafka使用kafka-rb为docker设置docker

时间:2015-07-15 09:59:58

标签: ruby docker boot2docker apache-kafka

我对Kafka来说是全新的,我很难做到正确。

我有" wurstmeister / kafka-docker"对于使用docker-compose的docker:

zookeeper:
 image: wurstmeister/zookeeper
 ports: 
   - "2181:2181"
kafka:
 image: wurstmeister/kafka
 ports:
   - "9092:9092"
 links: 
   - zookeeper:zk
 environment:
   KAFKA_ADVERTISED_HOST_NAME: 192.168.59.103
   # KAFKA_AUTO_CREATE_TOPCIS_ENABLE: 'true'
   KAFKA_CREATE_TOPICS: "events:1:1"
 volumes:
   - /var/run/docker.sock:/var/run/docker.sock

对于生产者和消费者,我使用ruby gem" kafka-rb"。

制片:

require 'kafka'
producer = Kafka::Producer.new({
    host: "192.168.59.103",
    port: 9092,
    topic: "events"
})

1000000.times do |i|
    message = Kafka::Message.new("Message #{i}")
    producer.push(message)
end

消费者:

要求' kafka'

consumer = Kafka::Consumer.new({
    host: "192.168.59.103",
    port: 9092,
    topic: "events"
})

consumer.loop do |messages|
    puts "Received"
    puts messages
end

但我仍然被拒绝连接或错误:

[2015-07-15 09:50:49,769] ERROR Closing socket for /192.168.59.3 because of error (kafka.network.Processor)
kafka_1     | java.nio.BufferUnderflowException
kafka_1     |   at java.nio.HeapByteBuffer.get(HeapByteBuffer.java:145)
kafka_1     |   at java.nio.ByteBuffer.get(ByteBuffer.java:692)
kafka_1     |   at kafka.api.ApiUtils$.readShortString(ApiUtils.scala:38)
kafka_1     |   at kafka.api.LeaderAndIsrRequest$.readFrom(LeaderAndIsrRequest.scala:108)
kafka_1     |   at kafka.api.RequestKeys$$anonfun$5.apply(RequestKeys.scala:43)
kafka_1     |   at kafka.api.RequestKeys$$anonfun$5.apply(RequestKeys.scala:43)
kafka_1     |   at kafka.network.RequestChannel$Request.<init>(RequestChannel.scala:50)
kafka_1     |   at kafka.network.Processor.read(SocketServer.scala:450)
kafka_1     |   at kafka.network.Processor.run(SocketServer.scala:340)
kafka_1     |   at java.lang.Thread.run(Thread.java:701)

设置是否存在根本性问题?谢谢

1 个答案:

答案 0 :(得分:0)

何时发生此错误,运行wurstmeister/zookeeper图像或尝试生成或使用消息时。

为什么报告Closing socket for /192.168.59.3,如果它是192.168.59.103,你可以尝试在你运行生产者和消费者的地方ping或telnet kafka服务器,看看你是否可以连接它或者不