我试图在hdp上运行简单的kafka生产者-消费者示例,但遇到以下异常。
[2016-03-03 18:26:38,683] WARN Fetching topic metadata with correlation id 0 for topics [Set(page_visits)] from broker [BrokerEndPoint(0,sandbox.hortonworks.com,9092)] failed (kafka.client.ClientUtils$)
java.nio.channels.ClosedChannelException
at kafka.network.BlockingChannel.send(BlockingChannel.scala:120)
at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:75)
at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:74)
at kafka.producer.SyncProducer.send(SyncProducer.scala:115)
at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:59)
at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
at kafka.producer.async.DefaultEventHandler$$anonfun$handle$1.apply$mcV$sp(DefaultEventHandler.scala:68)
at kafka.utils.CoreUtils$.swallow(CoreUtils.scala:89)
at kafka.utils.Logging$class.swallowError(Logging.scala:106)
at kafka.utils.CoreUtils$.swallowError(CoreUtils.scala:51)
at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:68)
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$3.apply(ProducerSendThread.scala:68)
at scala.collection.immutable.Stream.foreach(Stream.scala:547)
at kafka.producer.async.ProducerSendThread.processEvents(ProducerSendThread.scala:67)
at kafka.producer.async.ProducerSendThread.run(ProducerSendThread.scala:45)
[2016-03-03 18:26:38,688] ERROR fetching topic metadata for topics [Set(page_visits)] from broker [ArrayBuffer(BrokerEndPoint(0,sandbox.hortonworks.com,9092))] failed (kafka.utils.CoreUtils$)
kafka.common.KafkaException: fetching topic metadata for topics [Set(page_visits)] from broker [ArrayBuffer(BrokerEndPoint(0,sandbox.hortonworks.com,9092))] failed
at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:73)
at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
at kafka.producer.async.DefaultEventHandler$$anonfun$handle$1.apply$mcV$sp(DefaultEventHandler.scala:68)
at kafka.utils.CoreUtils$.swallow(CoreUtils.scala:89)
at kafka.utils.Logging$class.swallowError(Logging.scala:106)
at kafka.utils.CoreUtils$.swallowError(CoreUtils.scala:51)
at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:68)
at kafka.producer.async.ProducerSendThread.tryToHandle(ProducerSendThread.scala:105)
at kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:88)
at kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:68)
at scala.collection.immutable.Stream.foreach(Stream.scala:547)
at kafka.producer.async.ProducerSendThread.processEvents(ProducerSendThread.scala:67)
at kafka.producer.async.ProducerSendThread.run(ProducerSendThread.scala:45)
Caused by: java.nio.channels.ClosedChannelException
at kafka.network.BlockingChannel.send(BlockingChannel.scala:120)
at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:75)
at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:74)
at kafka.producer.SyncProducer.send(SyncProducer.scala:115)
at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:59)
... 12 more
[2016-03-03 18:26:38,693] WARN Fetching topic metadata with correlation id 1 for topics [Set(page_visits)] from broker [BrokerEndPoint(0,sandbox.hortonworks.com,9092)] failed (kafka.client.ClientUtils$)
java.nio.channels.ClosedChannelException
这是我为制片人使用的命令。
./kafka-console-producer.sh --broker-list sandbox.hortonworks.com:9092 --topic page_visits
在做了一点google之后,我发现我需要在server.properties文件中添加advised.host.name属性。这是我的server.properties文件。
# Generated by Apache Ambari. Thu Mar 3 18:12:50 2016
advertised.host.name=sandbox.hortonworks.com
auto.create.topics.enable=true
auto.leader.rebalance.enable=true
broker.id=0
compression.type=producer
controlled.shutdown.enable=true
controlled.shutdown.max.retries=3
controlled.shutdown.retry.backoff.ms=5000
controller.message.queue.size=10
controller.socket.timeout.ms=30000
default.replication.factor=1
delete.topic.enable=false
fetch.purgatory.purge.interval.requests=10000
host.name=sandbox.hortonworks.com
kafka.ganglia.metrics.group=kafka
kafka.ganglia.metrics.host=localhost
kafka.ganglia.metrics.port=8671
kafka.ganglia.metrics.reporter.enabled=true
kafka.metrics.reporters=org.apache.hadoop.metrics2.sink.kafka.KafkaTimelineMetricsReporter
kafka.timeline.metrics.host=sandbox.hortonworks.com
kafka.timeline.metrics.maxRowCacheSize=10000
kafka.timeline.metrics.port=6188
kafka.timeline.metrics.reporter.enabled=true
kafka.timeline.metrics.reporter.sendInterval=5900
leader.imbalance.check.interval.seconds=300
leader.imbalance.per.broker.percentage=10
listeners=PLAINTEXT://sandbox.hortonworks.com:6667
log.cleanup.interval.mins=10
log.dirs=/kafka-logs
log.index.interval.bytes=4096
log.index.size.max.bytes=10485760
log.retention.bytes=-1
log.retention.hours=168
log.roll.hours=168
log.segment.bytes=1073741824
message.max.bytes=1000000
min.insync.replicas=1
num.io.threads=8
num.network.threads=3
num.partitions=1
num.recovery.threads.per.data.dir=1
num.replica.fetchers=1
offset.metadata.max.bytes=4096
offsets.commit.required.acks=-1
offsets.commit.timeout.ms=5000
offsets.load.buffer.size=5242880
offsets.retention.check.interval.ms=600000
offsets.retention.minutes=86400000
offsets.topic.compression.codec=0
offsets.topic.num.partitions=50
offsets.topic.replication.factor=3
offsets.topic.segment.bytes=104857600
producer.purgatory.purge.interval.requests=10000
queued.max.requests=500
replica.fetch.max.bytes=1048576
replica.fetch.min.bytes=1
replica.fetch.wait.max.ms=500
replica.high.watermark.checkpoint.interval.ms=5000
replica.lag.max.messages=4000
replica.lag.time.max.ms=10000
replica.socket.receive.buffer.bytes=65536
replica.socket.timeout.ms=30000
socket.receive.buffer.bytes=102400
socket.request.max.bytes=104857600
socket.send.buffer.bytes=102400
zookeeper.connect=sandbox.hortonworks.com:2181
zookeeper.connection.timeout.ms=15000
zookeeper.session.timeout.ms=30000
zookeeper.sync.time.ms=2000
在添加属性之后,我得到了相同的异常。
任何建议。
3条答案
按热度按时间ldxq2e6h1#
我也有类似的问题。首先,我在ambari中检查了kafka经纪人的listeners属性
也可以检查:
如您所见,ambari将localhost替换为hostname,端口相同-6667。
然后我检查了代理是否真的监听该端口:
下一步是推出producer:
我终于推出了消费者:
在生产者端按回车键输入几个单词后,消费者收到了消息。
uubf1zoe2#
根据日志,Kafka服务器(代理)似乎没有运行。代理服务器应该首先运行。
生产者和消费者是客户端程序,它们也将与代理服务器和zookeeper进行交互。
在运行producer或consumer之前,请检查broker和zookeeper是否成功运行。
运行服务器./kafka-server-start.sh../config/server.properties检查日志中是否有错误,如果没有错误,则开始向服务器生成消息。
还要检查Zookeeper服务。
m0rkklqb3#
修改了文件
/usr/hdp/current/kafka-broker/config/server.properties
用以下两行运行以下执行命令
这样很好用