无法使用kafka命令行将json tweets事件发送到Kafka主题/生产者

Question

我创建了一个python脚本raw\u tweets\u流。py使用twitter api流式传输twitter数据。twitter上的json数据使用下面的脚本传递给kafka producer。

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

raw\u json\u推文是为这些推文创建的Kafka主题。python脚本raw_tweets_流。py运行正常，但在将其发送给Kafka制作人时抛出错误。我正在使用Hortonworks HDP 2.3.1沙盒，我已经确保zookeeper和kafka已经启动。

/usr/hdp/now/kafka-Broker/bin/kafka-topics.sh--zooKeerlocalhost:2181--描述--主题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)

更新：解决方案

>

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

修改了原始脚本以包含正确的端口和主机名。

python raw\u tweets\u流。py |/usr/hdp/current/kafka-broker/bin/kafka-console-producer。sh——代理列表沙箱。霍顿工厂。com:6667——主题raw\u json\u推特

已验证使用控制台使用者将事件发送到kafka主题。

/usr/hdp/2.3.0.0-2557/kafka/bin/kafka-console-consumer.sh-zooKeersandbox.hortonworks.com:2181-主题raw_json_tweets-从头开始

Answer 1

看起来您将--broer-list指向zoomaster（2181），而您需要指向默认端口为9092或Ambari上的6667的kafka代理。