无法使用 kafka 命令行向 Kafka 主题/生产者发送 json 推文事件

Question

我创建了一个 python 脚本raw_tweets_stream.py 来使用 twitter api 流式传输 twitter 数据。使用下面的脚本将来自 twitter 的 json 数据传输到 kafka 生产者。

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`python raw_tweets_stream.py | /usr/hdp/current/kafka-broker/bin/kafka-console-producer.sh --broker-list localhost:2181 --topic raw_json_tweets`

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raw_json_tweets 是为这些推文创建的 kafka 主题。 python 脚本raw_tweets_stream.py 运行良好，但在将其发送给 kafka 生产者时会引发错误。我正在使用 Hortonworks HDP 2.3.1 沙箱，并确保 Zookeeper 和 kafka 已启动。

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/usr/hdp/current/kafka-broker/bin/kafka-topics.sh --zookeeper localhost:2181 --describe --topic raw_json_tweets

Topic:raw_json_tweets      PartitionCount:1        ReplicationFactor:1     Configs:
            Topic: raw_json_tweets     Partition: 0    Leader: 0       Replicas: 0     Isr: 0

错误：

[2016-08-25 22:36:26,212] ERROR Failed to send requests for topics raw_json_tweets with correlation ids in [57,64] (kafka.producer.async.DefaultEventHandler)
[2016-08-25 22:36:26,213] ERROR Error in handling batch of 131 events (kafka.producer.async.ProducerSendThread)
kafka.common.FailedToSendMessageException: Failed to send messages after 3 tries.
        at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:91)
        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$3.apply(ProducerSendThread.scala:68)
        at scala.collection.immutable.Stream.foreach(Stream.scala:547)
        at kafka.producer.async.ProducerSendThread.processEvents(ProducerSendThread.scala:67)
        at kafka.producer.async.ProducerSendThread.run(ProducerSendThread.scala:45)
[2016-08-25 22:36:27,217] WARN Fetching topic metadata with correlation id 65 for topics [Set(json_tweets1)] from broker [BrokerEndPoint(0,localhost,2181)] failed (kafka.client.ClientUtils$)
java.io.EOFException: Received -1 when reading from channel, socket has likely been closed.
        at kafka.utils.CoreUtils$.read(CoreUtils.scala:193)
        at kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:54)
        at kafka.network.Receive$class.readCompletely(Transmission.scala:56)
        at kafka.network.BoundedByteBufferReceive.readCompletely(BoundedByteBufferReceive.scala:29)
        at kafka.network.BlockingChannel.receive(BlockingChannel.scala:131)
        at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:77)
        at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:74)
        at kafka.producer.SyncProducer.send(SyncProducer.scala:115)
        at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:59)
        at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
        at kafka.producer.BrokerPartitionInfo.getBrokerPartitionInfo(BrokerPartitionInfo.scala:49)
        at kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$getPartitionListForTopic(DefaultEventHandler.scala:188)
        at kafka.producer.async.DefaultEventHandler$$anonfun$partitionAndCollate$1.apply(DefaultEventHandler.scala:152)
        at kafka.producer.async.DefaultEventHandler$$anonfun$partitionAndCollate$1.apply(DefaultEventHandler.scala:151)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at kafka.producer.async.DefaultEventHandler.partitionAndCollate(DefaultEventHandler.scala:151)
        at kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:96)
        at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:73)
        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)

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更新：解决方案

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1. 前往 Ambari Services 并将 Kafka 日志目录更改为 /tmp/kafka-logs。

2. 修改了原始脚本以包含正确的端口和主机名。

   python raw_tweets_stream.py | /usr/hdp/current/kafka-broker/bin/kafka-console-producer.sh --broker-list sandbox.hortonworks.com:6667 --topic raw_json_tweets

3. 已使用控制台消费者验证事件已发送到 kafka 主题。

   /usr/hdp/2.3.0.0-2557/kafka/bin/kafka-console-consumer.sh -zookeeper sandbox.hortonworks.com:2181 -topic raw_json_tweets -from-beginning

Answer 1

看起来您将 --broker-list 指向 zookeeper (2181)，而不是指向默认端口为 9092 或 6667 在 Ambari 上的 kafka 代理。