Question

早上好。首先，我创建了一个包含2个物理主机和一个覆盖网络的docker群。在同一主机中，我创建了2个容器（postgres和ambari服务器），并创建了一个带有ambari代理的容器，在其中我将安装来自ambari的kafka，zookeeper，spark等。范围是在几台主机中安装几个容器，但是我首先尝试这样做，因为我没有使其正常工作。

事实是，一旦与Ambari一起部署，我就更改了kafka配置，将advertised.host.name添加到物理主机的ip，并将advertised.port添加到9092，将其绑定到物理主机的9092端口。

尝试时，总是会出现以下错误：

WARN Error while fetching metadata with correlation id 17 : {prueba2=LEADER_NOT_AVAILABLE} (org.apache.kafka.clients.NetworkClient)

如果尝试发送到容器的6667端口或

[2018-08-30 12:06:28,758] WARN Bootstrap broker 192.168.0.28:9092 disconnected (org.apache.kafka.clients.NetworkClient)

如果尝试连接物理主机的端口9092。

感谢您的帮助，请寻求帮助解决此问题的任何其他信息。

EDIT1：

配置已更改为以下属性。

，kafka-broker没有运行。 server.log显示以下跟踪：

root@host1:/usr/hdp/2.6.3.0-235/kafka# cat /var/log/kafka/server.log
[2018-09-04 09:17:46,964] INFO KafkaConfig values:
        advertised.host.name = host1.ambari
        advertised.listeners = INTERNO://host1.ambari:6667,EXTERNO://192.168.0.28:9092
        advertised.port = 9092
        authorizer.class.name =
        auto.create.topics.enable = true
        auto.leader.rebalance.enable = true
        background.threads = 10
        broker.id = -1
        broker.id.generation.enable = true
        broker.rack = null
        compression.type = producer
        connections.max.idle.ms = 600000
        controlled.shutdown.enable = true
        controlled.shutdown.max.retries = 3
        controlled.shutdown.retry.backoff.ms = 5000
        controller.socket.timeout.ms = 30000
        default.replication.factor = 1
        delete.topic.enable = false
        fetch.purgatory.purge.interval.requests = 10000
        group.max.session.timeout.ms = 300000
        group.min.session.timeout.ms = 6000
        host.name =
        inter.broker.protocol.version = 0.10.1-IV2
        leader.imbalance.check.interval.seconds = 300
        leader.imbalance.per.broker.percentage = 10
        listeners = INTERNO://host1.ambari:6667,EXTERNO://host1.ambari:6667
        log.cleaner.backoff.ms = 15000
        log.cleaner.dedupe.buffer.size = 134217728
        log.cleaner.delete.retention.ms = 86400000
        log.cleaner.enable = true
        log.cleaner.io.buffer.load.factor = 0.9
        log.cleaner.io.buffer.size = 524288
        log.cleaner.io.max.bytes.per.second = 1.7976931348623157E308
        log.cleaner.min.cleanable.ratio = 0.5
        log.cleaner.min.compaction.lag.ms = 0
        log.cleaner.threads = 1
        log.cleanup.policy = [delete]
        log.dir = /tmp/kafka-logs
        log.dirs = /kafka-logs
        log.flush.interval.messages = 9223372036854775807
        log.flush.interval.ms = null
        log.flush.offset.checkpoint.interval.ms = 60000
        log.flush.scheduler.interval.ms = 9223372036854775807
        log.index.interval.bytes = 4096
        log.index.size.max.bytes = 10485760
        log.message.format.version = 0.10.1-IV2
        log.message.timestamp.difference.max.ms = 9223372036854775807
        log.message.timestamp.type = CreateTime
        log.preallocate = false
        log.retention.bytes = -1
        log.retention.check.interval.ms = 300000
        log.retention.hours = 168
        log.retention.minutes = null
        log.retention.ms = null
        log.roll.hours = 168
        log.roll.jitter.hours = 0
        log.roll.jitter.ms = null
        log.roll.ms = null
        log.segment.bytes = 1073741824
        log.segment.delete.delay.ms = 60000
        max.connections.per.ip = 2147483647
        max.connections.per.ip.overrides =
        message.max.bytes = 1000000
        metric.reporters = []
        metrics.num.samples = 2
        metrics.sample.window.ms = 30000
        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
        port = 6667
        principal.builder.class = class org.apache.kafka.common.security.auth.DefaultPrincipalBuilder
        producer.purgatory.purge.interval.requests = 10000
        queued.max.requests = 500
        quota.consumer.default = 9223372036854775807
        quota.producer.default = 9223372036854775807
        quota.window.num = 11
        quota.window.size.seconds = 1
        replica.fetch.backoff.ms = 1000
        replica.fetch.max.bytes = 1048576
        replica.fetch.min.bytes = 1
        replica.fetch.response.max.bytes = 10485760
        replica.fetch.wait.max.ms = 500
        replica.high.watermark.checkpoint.interval.ms = 5000
        replica.lag.time.max.ms = 10000
        replica.socket.receive.buffer.bytes = 65536
        replica.socket.timeout.ms = 30000
        replication.quota.window.num = 11
        replication.quota.window.size.seconds = 1
        request.timeout.ms = 30000
        reserved.broker.max.id = 1000
        sasl.enabled.mechanisms = [GSSAPI]
        sasl.kerberos.kinit.cmd = /usr/bin/kinit
        sasl.kerberos.min.time.before.relogin = 60000
        sasl.kerberos.principal.to.local.rules = [DEFAULT]
        sasl.kerberos.service.name = null
        sasl.kerberos.ticket.renew.jitter = 0.05
        sasl.kerberos.ticket.renew.window.factor = 0.8
        sasl.mechanism.inter.broker.protocol = GSSAPI
        security.inter.broker.protocol = PLAINTEXT
        socket.receive.buffer.bytes = 102400
        socket.request.max.bytes = 104857600
        socket.send.buffer.bytes = 102400
        ssl.cipher.suites = null
        ssl.client.auth = none
        ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
        ssl.endpoint.identification.algorithm = null
        ssl.key.password = null
        ssl.keymanager.algorithm = SunX509
        ssl.keystore.location = null
        ssl.keystore.password = null
        ssl.keystore.type = JKS
        ssl.protocol = TLS
        ssl.provider = null
        ssl.secure.random.implementation = null
        ssl.trustmanager.algorithm = PKIX
        ssl.truststore.location = null
        ssl.truststore.password = null
        ssl.truststore.type = JKS
        unclean.leader.election.enable = true
        zookeeper.connect = host1.ambari:2181
        zookeeper.connection.timeout.ms = 25000
        zookeeper.session.timeout.ms = 30000
        zookeeper.set.acl = false
        zookeeper.sync.time.ms = 2000
 (kafka.server.KafkaConfig)
[2018-09-04 09:17:46,974] FATAL  (kafka.Kafka$)
java.lang.IllegalArgumentException: Error creating broker listeners from 'INTERNO://host1.ambari:6667,EXTERNO://host1.ambari:6667': No enum constant org.apache.kafka.common.protocol.SecurityProtocol.INTERNO
        at kafka.server.KafkaConfig.validateUniquePortAndProtocol(KafkaConfig.scala:994)
        at kafka.server.KafkaConfig.getListeners(KafkaConfig.scala:1013)
        at kafka.server.KafkaConfig.<init>(KafkaConfig.scala:966)
        at kafka.server.KafkaConfig$.fromProps(KafkaConfig.scala:779)
        at kafka.server.KafkaConfig$.fromProps(KafkaConfig.scala:776)
        at kafka.server.KafkaServerStartable$.fromProps(KafkaServerStartable.scala:28)
        at kafka.Kafka$.main(Kafka.scala:58)
        at kafka.Kafka.main(Kafka.scala)

Answer 1

如果您要在Docker中部署Kafka，则还需要将侦听器配置为可访问，如果您也希望能够从Docker网络外部对其进行访问。 This article explains the details。

kafka bootstrap broker使用docker-compose断开连接

1 个答案: