• Docker 方式搭建 zookeeper + kafka 集群


    一、环境介绍

     主机:三台,Centos7.6+docker19.03.4 (192.168.145.7,192.168.145.67,192.168.145.77)

     镜像:zookeeper:latest(docker pull zookeeper)version 3.6.1,wurstmeister/kafka:latest (docker pull wurstmeister/kafka) version 2.13_2.6.0,kafka-manager(docker pull sheepkiller/kafka-manager)version 1.3.1.8

    二、Docker安装

     Docker安装:https://www.cnblogs.com/hovin/p/13630569.html

    三、zookeeper集群搭建

    (1) 下载镜像,三台都一样

    [root@localhost ~]# docker pull zookeeper

    (2) 创建本地目录,三台都一样

    [root@localhost ~]# mkdir -pv /kafka_cluster/zookeeper/{conf,data,datalog}

    (3) 准备配置文件,zoo.cfg 和 log4j.properties,三台都一样

    [root@localhost ~]# vim /kafka_cluster/zookeeper/conf/zoo.cfg
    # The number of milliseconds of each tick
    tickTime=2000
    # The number of ticks that the initial 
    # synchronization phase can take
    initLimit=10
    # The number of ticks that can pass between 
    # sending a request and getting an acknowledgement
    syncLimit=5
    # the directory where the snapshot is stored.
    # do not use /tmp for storage, /tmp here is just 
    # example sakes.
    # zookeeper镜像中设定会将zookeeper的data与dataLog分别映射到/data, /datalog
    # 本质上,这个配置文件是为zookeeper的容器所用,容器中路径的配置与容器所在的宿主机上的路径是有区别的,要区分清楚。
    dataDir=/data
    dataLogDir=/datalog
    # the port at which the clients will connect
    clientPort=2181
    # the maximum number of client connections.
    # increase this if you need to handle more clients
    #maxClientCnxns=60
    #
    # Be sure to read the maintenance section of the 
    # administrator guide before turning on autopurge.
    #
    # http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
    #
    # The number of snapshots to retain in dataDir
    #autopurge.snapRetainCount=3
    # Purge task interval in hours
    # Set to "0" to disable auto purge feature
    #autopurge.purgeInterval=1t
    server.1=192.168.145.7:2888:3888
    server.2=192.168.145.67:2888:3888
    server.3=192.168.145.77:2888:3888
    zoo.cfg
    [root@localhost ~]# vim /kafka_cluster/zookeeper/conf/log4j.properties 
    # Define some default values that can be overridden by system properties
    zookeeper.root.logger=INFO, CONSOLE
    zookeeper.console.threshold=INFO
    zookeeper.log.dir=.
    zookeeper.log.file=zookeeper.log
    zookeeper.log.threshold=DEBUG
    zookeeper.tracelog.dir=.
    zookeeper.tracelog.file=zookeeper_trace.log
    
    #
    # ZooKeeper Logging Configuration
    #
    
    # Format is "<default threshold> (, <appender>)+
    
    # DEFAULT: console appender only
    log4j.rootLogger=${zookeeper.root.logger}
    
    # Example with rolling log file
    #log4j.rootLogger=DEBUG, CONSOLE, ROLLINGFILE
    
    # Example with rolling log file and tracing
    #log4j.rootLogger=TRACE, CONSOLE, ROLLINGFILE, TRACEFILE
    
    #
    # Log INFO level and above messages to the console
    #
    log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender
    log4j.appender.CONSOLE.Threshold=${zookeeper.console.threshold}
    log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
    log4j.appender.CONSOLE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L] - %m%n
    
    #
    # Add ROLLINGFILE to rootLogger to get log file output
    #    Log DEBUG level and above messages to a log file
    log4j.appender.ROLLINGFILE=org.apache.log4j.RollingFileAppender
    log4j.appender.ROLLINGFILE.Threshold=${zookeeper.log.threshold}
    log4j.appender.ROLLINGFILE.File=${zookeeper.log.dir}/${zookeeper.log.file}
    
    # Max log file size of 10MB
    log4j.appender.ROLLINGFILE.MaxFileSize=10MB
    # uncomment the next line to limit number of backup files
    #log4j.appender.ROLLINGFILE.MaxBackupIndex=10
    
    log4j.appender.ROLLINGFILE.layout=org.apache.log4j.PatternLayout
    log4j.appender.ROLLINGFILE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L] - %m%n
    
    
    #
    # Add TRACEFILE to rootLogger to get log file output
    #    Log DEBUG level and above messages to a log file
    log4j.appender.TRACEFILE=org.apache.log4j.FileAppender
    log4j.appender.TRACEFILE.Threshold=TRACE
    log4j.appender.TRACEFILE.File=${zookeeper.tracelog.dir}/${zookeeper.tracelog.file}
    
    log4j.appender.TRACEFILE.layout=org.apache.log4j.PatternLayout
    ### Notice we are including log4j's NDC here (%x)
    log4j.appender.TRACEFILE.layout.ConversionPattern=%d{ISO8601} [myid:%X{myid}] - %-5p [%t:%C{1}@%L][%x] - %m%n
    log4j.properties

    (4) 准备data/myid文件,三台机器的myid的值,分别对应zoo.cfg文件中的server.x的数字x

    #192.168.145.7
    [root@localhost ~]# echo 1 > /kafka_cluster/zookeeper/data/myid
    #192.168.145.67
    [root@localhost ~]# echo 2 > /kafka_cluster/zookeeper/data/myid
    #192.168.145.77
    [root@localhost ~]# echo 3 > /kafka_cluster/zookeeper/data/myid

    (5) 启动容器

    #以192.168.145.7为例,另两台改一下--name即可
    #方式一,使用宿主机网卡模式
    [root@localhost ~]# docker run -d --name=zookeeper-1 
    --restart=always 
    --net=host 
    -v /kafka_cluster/zookeeper/conf:/conf 
    -v /kafka_cluster/zookeeper/data:/data 
    -v /kafka_cluster/zookeeper/datalog:/datalog 
    zookeeper:latest
    #方式二,使用端口映射模式
    [root@localhost ~]# docker run -d --name=zookeeper-1 
    --restart=always 
    -p 2181:2181 
    -p 2888:2888 
    -p 3888:3888 
    -v /kafka_cluster/zookeeper/conf:/conf 
    -v /kafka_cluster/zookeeper/data:/data 
    -v /kafka_cluster/zookeeper/datalog:/datalog 
    zookeeper:latest
    #但要注意zoo.cfg中的server.1=192.168.145.7:2888:3888对应于本机的IP改为0.0.0.0,即
    server.1=0.0.0.0:2888:3888
    server.2=192.168.145.67:2888:3888
    server.3=192.168.145.77:2888:3888
    #其它两台类似修改即可

    (6) 查看集群状态

    [root@localhost ~]# docker exec -it zookeeper-1 /bin/bash ./bin/zkServer.sh status
    ZooKeeper JMX enabled by default
    Using config: /conf/zoo.cfg
    Client port found: 2181. Client address: localhost.
    Mode: follower

    四、kafka集群搭建

     (1) 下载镜像,三台都一样

    [root@localhost ~]# docker pull wurstmeister/kafka

    (2) 创建本地目录,三台都一样

    [root@localhost ~]# mkdir -pv /kafka_cluster/kafka/{config,data,logs}

    (3) 准备配置文件,server.properties 、log4j.properties、tools-log4j.properties,三台都一样

    [root@node1 ~]# vim /kafka_cluster/kafka/config/server.properties
    # Licensed to the Apache Software Foundation (ASF) under one or more
    # contributor license agreements.  See the NOTICE file distributed with
    # this work for additional information regarding copyright ownership.
    # The ASF licenses this file to You under the Apache License, Version 2.0
    # (the "License"); you may not use this file except in compliance with
    # the License.  You may obtain a copy of the License at
    #
    #    http://www.apache.org/licenses/LICENSE-2.0
    #
    # Unless required by applicable law or agreed to in writing, software
    # distributed under the License is distributed on an "AS IS" BASIS,
    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    # See the License for the specific language governing permissions and
    # limitations under the License.
    
    # see kafka.server.KafkaConfig for additional details and defaults
    
    ############################# Server Basics #############################
    
    # The id of the broker. This must be set to a unique integer for each broker.
    broker.id=0
    
    ############################# Socket Server Settings #############################
    
    # The address the socket server listens on. It will get the value returned from 
    # java.net.InetAddress.getCanonicalHostName() if not configured.
    #   FORMAT:
    #     listeners = listener_name://host_name:port
    #   EXAMPLE:
    #     listeners = PLAINTEXT://your.host.name:9092
    #listeners=PLAINTEXT://:9092
    
    # Hostname and port the broker will advertise to producers and consumers. If not set, 
    # it uses the value for "listeners" if configured.  Otherwise, it will use the value
    # returned from java.net.InetAddress.getCanonicalHostName().
    #advertised.listeners=PLAINTEXT://your.host.name:9092
    
    # Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
    #listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL
    
    # The number of threads that the server uses for receiving requests from the network and sending responses to the network
    num.network.threads=3
    
    # The number of threads that the server uses for processing requests, which may include disk I/O
    num.io.threads=8
    
    # The send buffer (SO_SNDBUF) used by the socket server
    socket.send.buffer.bytes=102400
    
    # The receive buffer (SO_RCVBUF) used by the socket server
    socket.receive.buffer.bytes=102400
    
    # The maximum size of a request that the socket server will accept (protection against OOM)
    socket.request.max.bytes=104857600
    
    
    ############################# Log Basics #############################
    
    # A comma separated list of directories under which to store log files
    log.dirs=/tmp/kafka-logs
    
    # The default number of log partitions per topic. More partitions allow greater
    # parallelism for consumption, but this will also result in more files across
    # the brokers.
    num.partitions=1
    
    # The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.
    # This value is recommended to be increased for installations with data dirs located in RAID array.
    num.recovery.threads.per.data.dir=1
    
    ############################# Internal Topic Settings  #############################
    # The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"
    # For anything other than development testing, a value greater than 1 is recommended to ensure availability such as 3.
    offsets.topic.replication.factor=1
    transaction.state.log.replication.factor=1
    transaction.state.log.min.isr=1
    
    ############################# Log Flush Policy #############################
    
    # Messages are immediately written to the filesystem but by default we only fsync() to sync
    # the OS cache lazily. The following configurations control the flush of data to disk.
    # There are a few important trade-offs here:
    #    1. Durability: Unflushed data may be lost if you are not using replication.
    #    2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.
    #    3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to excessive seeks.
    # The settings below allow one to configure the flush policy to flush data after a period of time or
    # every N messages (or both). This can be done globally and overridden on a per-topic basis.
    
    # The number of messages to accept before forcing a flush of data to disk
    #log.flush.interval.messages=10000
    
    # The maximum amount of time a message can sit in a log before we force a flush
    #log.flush.interval.ms=1000
    
    ############################# Log Retention Policy #############################
    
    # The following configurations control the disposal of log segments. The policy can
    # be set to delete segments after a period of time, or after a given size has accumulated.
    # A segment will be deleted whenever *either* of these criteria are met. Deletion always happens
    # from the end of the log.
    
    # The minimum age of a log file to be eligible for deletion due to age
    log.retention.hours=168
    
    # A size-based retention policy for logs. Segments are pruned from the log unless the remaining
    # segments drop below log.retention.bytes. Functions independently of log.retention.hours.
    #log.retention.bytes=1073741824
    
    # The maximum size of a log segment file. When this size is reached a new log segment will be created.
    log.segment.bytes=1073741824
    
    # The interval at which log segments are checked to see if they can be deleted according
    # to the retention policies
    log.retention.check.interval.ms=300000
    
    ############################# Zookeeper #############################
    
    # Zookeeper connection string (see zookeeper docs for details).
    # This is a comma separated host:port pairs, each corresponding to a zk
    # server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
    # You can also append an optional chroot string to the urls to specify the
    # root directory for all kafka znodes.
    zookeeper.connect=localhost:2181
    
    # Timeout in ms for connecting to zookeeper
    zookeeper.connection.timeout.ms=18000
    
    
    ############################# Group Coordinator Settings #############################
    
    # The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.
    # The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.
    # The default value for this is 3 seconds.
    # We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.
    # However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application startup.
    group.initial.rebalance.delay.ms=0
    server.properties
    [root@node1 ~]# vim /kafka_cluster/kafka/config/log4j.properties
    # Licensed to the Apache Software Foundation (ASF) under one or more
    # contributor license agreements.  See the NOTICE file distributed with
    # this work for additional information regarding copyright ownership.
    # The ASF licenses this file to You under the Apache License, Version 2.0
    # (the "License"); you may not use this file except in compliance with
    # the License.  You may obtain a copy of the License at
    #
    #    http://www.apache.org/licenses/LICENSE-2.0
    #
    # Unless required by applicable law or agreed to in writing, software
    # distributed under the License is distributed on an "AS IS" BASIS,
    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    # See the License for the specific language governing permissions and
    # limitations under the License.
    
    # Unspecified loggers and loggers with additivity=true output to server.log and stdout
    # Note that INFO only applies to unspecified loggers, the log level of the child logger is used otherwise
    log4j.rootLogger=INFO, stdout, kafkaAppender
    
    log4j.appender.stdout=org.apache.log4j.ConsoleAppender
    log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
    log4j.appender.stdout.layout.ConversionPattern=[%d] %p %m (%c)%n
    
    log4j.appender.kafkaAppender=org.apache.log4j.DailyRollingFileAppender
    log4j.appender.kafkaAppender.DatePattern='.'yyyy-MM-dd-HH
    log4j.appender.kafkaAppender.File=${kafka.logs.dir}/server.log
    log4j.appender.kafkaAppender.layout=org.apache.log4j.PatternLayout
    log4j.appender.kafkaAppender.layout.ConversionPattern=[%d] %p %m (%c)%n
    
    log4j.appender.stateChangeAppender=org.apache.log4j.DailyRollingFileAppender
    log4j.appender.stateChangeAppender.DatePattern='.'yyyy-MM-dd-HH
    log4j.appender.stateChangeAppender.File=${kafka.logs.dir}/state-change.log
    log4j.appender.stateChangeAppender.layout=org.apache.log4j.PatternLayout
    log4j.appender.stateChangeAppender.layout.ConversionPattern=[%d] %p %m (%c)%n
    
    log4j.appender.requestAppender=org.apache.log4j.DailyRollingFileAppender
    log4j.appender.requestAppender.DatePattern='.'yyyy-MM-dd-HH
    log4j.appender.requestAppender.File=${kafka.logs.dir}/kafka-request.log
    log4j.appender.requestAppender.layout=org.apache.log4j.PatternLayout
    log4j.appender.requestAppender.layout.ConversionPattern=[%d] %p %m (%c)%n
    
    log4j.appender.cleanerAppender=org.apache.log4j.DailyRollingFileAppender
    log4j.appender.cleanerAppender.DatePattern='.'yyyy-MM-dd-HH
    log4j.appender.cleanerAppender.File=${kafka.logs.dir}/log-cleaner.log
    log4j.appender.cleanerAppender.layout=org.apache.log4j.PatternLayout
    log4j.appender.cleanerAppender.layout.ConversionPattern=[%d] %p %m (%c)%n
    
    log4j.appender.controllerAppender=org.apache.log4j.DailyRollingFileAppender
    log4j.appender.controllerAppender.DatePattern='.'yyyy-MM-dd-HH
    log4j.appender.controllerAppender.File=${kafka.logs.dir}/controller.log
    log4j.appender.controllerAppender.layout=org.apache.log4j.PatternLayout
    log4j.appender.controllerAppender.layout.ConversionPattern=[%d] %p %m (%c)%n
    
    log4j.appender.authorizerAppender=org.apache.log4j.DailyRollingFileAppender
    log4j.appender.authorizerAppender.DatePattern='.'yyyy-MM-dd-HH
    log4j.appender.authorizerAppender.File=${kafka.logs.dir}/kafka-authorizer.log
    log4j.appender.authorizerAppender.layout=org.apache.log4j.PatternLayout
    log4j.appender.authorizerAppender.layout.ConversionPattern=[%d] %p %m (%c)%n
    
    # Change the line below to adjust ZK client logging
    log4j.logger.org.apache.zookeeper=INFO
    
    # Change the two lines below to adjust the general broker logging level (output to server.log and stdout)
    log4j.logger.kafka=INFO
    log4j.logger.org.apache.kafka=INFO
    
    # Change to DEBUG or TRACE to enable request logging
    log4j.logger.kafka.request.logger=WARN, requestAppender
    log4j.additivity.kafka.request.logger=false
    
    # Uncomment the lines below and change log4j.logger.kafka.network.RequestChannel$ to TRACE for additional output
    # related to the handling of requests
    #log4j.logger.kafka.network.Processor=TRACE, requestAppender
    #log4j.logger.kafka.server.KafkaApis=TRACE, requestAppender
    #log4j.additivity.kafka.server.KafkaApis=false
    log4j.logger.kafka.network.RequestChannel$=WARN, requestAppender
    log4j.additivity.kafka.network.RequestChannel$=false
    
    log4j.logger.kafka.controller=TRACE, controllerAppender
    log4j.additivity.kafka.controller=false
    
    log4j.logger.kafka.log.LogCleaner=INFO, cleanerAppender
    log4j.additivity.kafka.log.LogCleaner=false
    
    log4j.logger.state.change.logger=INFO, stateChangeAppender
    log4j.additivity.state.change.logger=false
    
    # Access denials are logged at INFO level, change to DEBUG to also log allowed accesses
    log4j.logger.kafka.authorizer.logger=INFO, authorizerAppender
    log4j.additivity.kafka.authorizer.logger=false
    log4j.properties
    [root@node1 ~]# vim /kafka_cluster/kafka/config/tools-log4j.properties 
    # Licensed to the Apache Software Foundation (ASF) under one or more
    # contributor license agreements.  See the NOTICE file distributed with
    # this work for additional information regarding copyright ownership.
    # The ASF licenses this file to You under the Apache License, Version 2.0
    # (the "License"); you may not use this file except in compliance with
    # the License.  You may obtain a copy of the License at
    #
    #    http://www.apache.org/licenses/LICENSE-2.0
    #
    # Unless required by applicable law or agreed to in writing, software
    # distributed under the License is distributed on an "AS IS" BASIS,
    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    # See the License for the specific language governing permissions and
    # limitations under the License.
    
    log4j.rootLogger=WARN, stderr
    
    log4j.appender.stderr=org.apache.log4j.ConsoleAppender
    log4j.appender.stderr.layout=org.apache.log4j.PatternLayout
    log4j.appender.stderr.layout.ConversionPattern=[%d] %p %m (%c)%n
    log4j.appender.stderr.Target=System.err
    tools-log4j.properties

    (4) 启动容器,这里使用命令行环境变量模式,不修改配置文件了

    #另外两台修改--name,KAFKA_BROKER_ID,KAFKA_LISTENERS这三个值即可
    #方式一,使用宿主机网卡模式
    [root@node1 ~]# docker run -d --name=kafka1 
    --restart=always 
    --net=host 
    -v /etc/hosts:/etc/hosts 
    -v /kafka_cluster/kafka/data:/kafka 
    -v /kafka_cluster/kafka/config:/opt/kafka/config 
    -v /kafka_cluster/kafka/logs:/opt/kafka/logs 
    -e KAFKA_BROKER_ID=1 
    -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092 
    -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.145.7:9092 
    -e KAFKA_ZOOKEEPER_CONNECT=192.168.145.7:2181 
    -e KAFKA_HEAP_OPTS="-Xmx1G -Xms1G" 
    wurstmeister/kafka:latest
    #方式二,使用端口映射模式
    [root@node1 ~]# docker run -d --name=kafka1 
    -p 9092:9092 
    -v /kafka_cluster/kafka/data:/kafka 
    -v /kafka_cluster/kafka/config:/opt/kafka/config 
    -v /kafka_cluster/kafka/logs:/opt/kafka/logs 
    -e KAFKA_BROKER_ID=1 
    -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092 
    -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.145.7:9092 
    -e KAFKA_ZOOKEEPER_CONNECT=192.168.145.7:2181 
    -e KAFKA_HEAP_OPTS="-Xmx1G -Xms1G" 
    wurstmeister/kafka:latest

    注意:在运行容器时如果加了-e JMX_PORT=9999,进行容器内执行行bin目录下脚本工具会报错:

    原因在于kafka-run-class.sh是被调用脚本,当被其它脚本调用时,Java会绑定JMX_PORT,导致端口被占用。

    解决方法:修改kafka-run-class.sh脚本

    bash-4.4# vi /opt/kafka_2.13-2.6.0/bin/kafka-run-class.sh
    #找到base_dir=$(dirname $0)/.. 行,在其上方添加如下代码:
    ISKAFKASERVER="false"                                
    if [[ "$*" =~ "kafka.kafka" ]]; then                                 
        ISKAFKASERVER="true"                          
    fi
    #找到if [  $JMX_PORT ]; then 行,将其注释掉,然后添加如下代码
    if [  $JMX_PORT ] && [ -z "$ISKAFKASERVER" ]; then
    #然后保存退出即可
    #再试下执行bin目录下脚本工具,可以发现无报错了
    bash-4.4# cd /opt/kafka
    bash-4.4# ./bin/kafka-topics.sh --list --zookeeper 192.168.145.7:2181 192.168.145.67:2181 192.168.145.77:2181
    __consumer_offsets
    test

    (5) 查看kafka状态

    [root@localhost ~]# docker exec -it zookeeper-1 /bin/bash ./bin/zkCli.sh
    Connecting to localhost:2181
    log4j:WARN No appenders could be found for logger (org.apache.zookeeper.ZooKeeper).
    log4j:WARN Please initialize the log4j system properly.
    log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
    Welcome to ZooKeeper!
    JLine support is enabled
    
    WATCHER::
    
    WatchedEvent state:SyncConnected type:None path:null
    [zk: localhost:2181(CONNECTED) 0] ls /brokers/ids
    [1, 2, 3]
    [zk: localhost:2181(CONNECTED) 1] get /brokers/ids/1
    {"listener_security_protocol_map":{"PLAINTEXT":"PLAINTEXT"},"endpoints":["PLAINTEXT://192.168.145.7:9092"],"jmx_port":9999,"port":9092,"host":"192.168.145.7","version":4,"timestamp":"1599460603079"}
    [zk: localhost:2181(CONNECTED) 2] get /brokers/ids/2
    {"listener_security_protocol_map":{"PLAINTEXT":"PLAINTEXT"},"endpoints":["PLAINTEXT://192.168.145.67:9092"],"jmx_port":9999,"port":9092,"host":"192.168.145.67","version":4,"timestamp":"1599460744091"}
    [zk: localhost:2181(CONNECTED) 3] get /brokers/ids/3
    {"listener_security_protocol_map":{"PLAINTEXT":"PLAINTEXT"},"endpoints":["PLAINTEXT://192.168.145.77:9092"],"jmx_port":9999,"port":9092,"host":"192.168.145.77","version":4,"timestamp":"1599460773190"}

    (6) 测试消息创建与发送

    #在192.168.145.7上创建一个消息
    [root@localhost ~]# docker exec -it kafka1 /bin/bash
    #查看topic列表
    bash-4.4# cd /opt/kafka
    bash-4.4# ./bin/kafka-topics.sh --list --zookeeper 192.168.145.7:2181 192.168.145.67:2181 192.168.145.77:2181    
    #创建一个topic
    bash-4.4# ./bin/kafka-topics.sh --create --topic test --zookeeper 192.168.145.7:2181 --replication-factor 1 --partitions 1
    #查询集群描述
    bash-4.4# ./bin/kafka-topics.sh --describe --zookeeper 192.168.145.7:2181 192.168.145.67:2181 192.168.145.77:2181  --topic test
    #向topic写数据
    bash-4.4# ./bin/kafka-console-producer.sh --bootstrap-server 192.168.145.7:9092,192.168.145.67:9092,192.168.145.77:9092 --topic test
    >test a message
    #在192.168.145.67上消费一个topic
    [root@node2 data]# docker exec -it kafka2 /bin/bash
    bash-4.4# cd /opt/kafka
    bash-4.4# ./bin/kafka-console-consumer.sh --bootstrap-server 192.168.145.7:9092,192.168.145.67:9092,192.168.145.77:9092 --topic test  --from-beginning
    test a message

    五、kafka-manager监控工具的部署

    (1) 下载镜像,装在其中一个节点即可

    [root@localhost ~]# docker pull sheepkiller/kafka-manager

    (2) 启动容器

    [root@localhost ~]# docker run -d --restart=always 
    --name=kafka-manager 
    -p 9000:9000 
    -e ZK_HOSTS="192.168.145.7:2181" 
    sheepkiller/kafka-manager:latest

    (3) 浏览器访问

     在浏览器输入 http://192.168.145.67:9000 访问,然后添加集群信息即可。

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  • 原文地址:https://www.cnblogs.com/hovin/p/13645037.html
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