Centos7.4 kafka集群安装与kafka-eagle1.3.9的安装

时间:2021-03-23 05:55:51

Centos7.4 kafka集群安装与kafka-eagle1.3.9的安装

集群规划:

hostname Zookeeper Kafka kafka-eagle
kafka01
kafka02
kafka03

准备工作:

  • 网络配置

    vim /etc/sysconfig/network-scripts/ifcfg-ens33
    # kafka01
    TYPE=Ethernet
    PROXY_METHOD=none
    BROWSER_ONLY=no
    BOOTPROTO=static
    DEFROUTE=yes
    IPV4_FAILURE_FATAL=no
    IPV6INIT=yes
    IPV6_AUTOCONF=yes
    IPV6_DEFROUTE=yes
    IPV6_FAILURE_FATAL=no
    IPV6_ADDR_GEN_MODE=stable-privacy
    NAME=ens33
    DEVICE=ens33
    ONBOOT=yes
    IPADDR=192.168.180.200 # 你的虚拟网卡VMNet8, 如果是桥接的改成桥接网卡VMNet1
    PREFIX=24
    GATEWAY=192.168.180.2
    DNS1=114.114.114.114
    IPV6_PRIVACY=no
    # kafka02
    TYPE=Ethernet
    PROXY_METHOD=none
    BROWSER_ONLY=no
    BOOTPROTO=static
    DEFROUTE=yes
    IPV4_FAILURE_FATAL=no
    IPV6INIT=yes
    IPV6_AUTOCONF=yes
    IPV6_DEFROUTE=yes
    IPV6_FAILURE_FATAL=no
    IPV6_ADDR_GEN_MODE=stable-privacy
    NAME=ens33
    DEVICE=ens33
    ONBOOT=yes
    IPADDR=192.168.180.201
    PREFIX=24
    GATEWAY=192.168.180.2
    DNS1=114.114.114.114
    IPV6_PRIVACY=no
    # kafka03
    TYPE=Ethernet
    PROXY_METHOD=none
    BROWSER_ONLY=no
    BOOTPROTO=static
    DEFROUTE=yes
    IPV4_FAILURE_FATAL=no
    IPV6INIT=yes
    IPV6_AUTOCONF=yes
    IPV6_DEFROUTE=yes
    IPV6_FAILURE_FATAL=no
    IPV6_ADDR_GEN_MODE=stable-privacy
    NAME=ens33
    DEVICE=ens33
    ONBOOT=yes
    IPADDR=192.168.180.200
    PREFIX=24
    GATEWAY=192.168.180.2
    DNS1=114.114.114.114
    IPV6_PRIVACY=no
  • 复制三台虚拟机

Centos7.4 kafka集群安装与kafka-eagle1.3.9的安装

Centos7.4 kafka集群安装与kafka-eagle1.3.9的安装

Centos7.4 kafka集群安装与kafka-eagle1.3.9的安装

  • 修改主机名及hosts

    vim /etc/hostname
    • 将三台主机的主机名分别修改为kafka01, kafka02, kafka03
    vim /etc/hosts

    修改为:

    127.0.0.1 localhost
    192.168.180.200 kafka01
    192.168.180.201 kafka02
    192.168.180.202 kafka03
  • 关闭防火墙

# ps: 这里就不搞iptables防火墙了, 直接关, 不然开得一个个开放端口, 比较烦
service firewalld stop
  • 免密登录

    ssh-keygen
    # 然后enter, enter, enter 直到生成RSA, 默认会在当前用户的家目录下生成.ssh [root@kafka02 ~]# ls -ah
    . .bash_history .bashrc .cshrc .pki .viminfo .xauthEJoei0
    .. .bash_logout .cache .dbus .ssh .xauthBayboq
    anaconda-ks.cfg .bash_profile .config initial-setup-ks.cfg .tcshrc .xauthcwYAMX

    .ssh隐藏目录中有id_rsa(私钥) 和 id_rsa.pub(公钥)

    cd ~/.ssh 创建authorized_keys,将三台虚拟机的公钥都存入其中:

    ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCZJgAqbq+/peLIdV5ZpDSS3+8nYJSg/2ZON8rj9WmXlefGLgoegRFExCN4LPEN72/QEl/ZOBxtc00Tev+pSM30veOkxJTc+XXGu5LlFp3l5bbB0nIZG5hYKstT7FYPDfNqZkJrNp+6l0Yl/Eihv9R4LPT5K2A4TbxtFi7s9c0n2fUp5XOLjQWU9qj1x7bajV0nLjV3gOeejqNKVywr2xQqOJX7DQ/e1jlKekvUGHpa/fWVyTc/rK7dCvyddAqqrO5P+7Tu9CqLvcvV1hFtgVechCJ0VCw3tId3qczJzEj51KJb1hErzCFz+7azOMkLhw0/NkX36PjgPX6F59AOsPhX root@kafka01
    
    ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQC8XpLYRdcuaxXUOOW+OtfYYXmH8TS1ETd22A5898JCZgIIqiZjrqMoJCARxcAkkaLjJu4x6XaYA470i9mYy2lf1N2XWI2zxt1Fne8G22ZTtCeY7Qm1obVcPM3WqUNN/EvOXT9qDuitQnCEhS3rvnzp/h3ZuYgLv3r7XdDDVRqMxc4FdAIkGjJCu68lpvDeXHY1nBzcpoyAnXy8WhAnSmP8RSTh1XbDhwvgvcCmnQbGiaNHSGNTjYMU2a8mOEenoF4osB+Mys5WkNaJ0RYU39vU2RJdQb/YxGbbQdTszTz1Y0aRceONDr3Wpo2mCf9whvKpT7d72FFV9iIyPy0ax8sv root@kafka02
    
    ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCft3A+poCNF6N//3hADQnaRgGDnPe/58FhSJNPPx64AermLE83Nj0E9tu5CD6Z30FE5LiRAAkLb1yXBIxtU4g5X88TQ8CfxNqE9ZkhAzeaaBXGJ8Kh9/HAAP5J63YCwXIMOFjJpA1RJ2QPxWC31jF+qLY33XSb5b643kGp0QX0m1FVjoh9y3ScTIF2Kznl5atzPG7j+100AQjBztgyZU1AdXqIzdnD6+vKTHYC1lxIkp2PWleMsN+pWlV6JFhhYZzVnKEsOtW9SDDgsUbKPr1y3ofowSTYvuZx8xSkk3gSXb6HUSedc92EiFrFoONazr+is7y3ZPdspxuN7NtISIwh root@kafka03

    每台虚拟机的authorized_keys文件一致

    免密登录测试:

    [root@kafka03 bin]# ssh root@192.168.180.201
    Last login: Fri Oct 4 13:06:53 2019
    [root@kafka02 ~]#

    ps: 第一次会提示是否将该秘钥保存, 保存后.ssh文件目录下会生成一个known_hosts,里面存有已知的主机sha(Security HashCode Algorithum)信息:

    比如我的:

    192.168.180.200 ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBOozduEWhzGQL5NzN1ZTpRUqfXQBNCDEq4YHeElcxuk17xsGr6job8H5lxFkf+0FwcD2ZFkbZeUJS/UnR0EtdzA=
    192.168.180.201 ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBOozduEWhzGQL5NzN1ZTpRUqfXQBNCDEq4YHeElcxuk17xsGr6job8H5lxFkf+0FwcD2ZFkbZeUJS/UnR0EtdzA=
    192.168.180.202 ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBOozduEWhzGQL5NzN1ZTpRUqfXQBNCDEq4YHeElcxuk17xsGr6job8H5lxFkf+0FwcD2ZFkbZeUJS/UnR0EtdzA=

JDK安装

  • 将jdk的tar包上传,然后tar -zxvf 该包 -C 想要解压到的目录

  • 我这边是解压到了/opt/ronnie/目录, 并且 mv jdk1.8XXXX jdk1.8 将它改名为了jdk1.8

[root@kafka02 ronnie]# ll
总用量 0
drwxr-xr-x. 7 10 143 245 12月 16 2018 jdk1.8
drwxrwxrwx. 8 root root 120 10月 4 13:00 kafka
drwxr-xr-x. 8 root root 158 10月 2 20:20 zookeeper
  • 修改系统配置文件

    vim /etc/profile
    
    # 添加jdk路径
    export JAVA_HOME=/opt/ronnie/jdk1.8
    export PATH=$JAVA_HOME/bin:$PATH

    检查配置是否成功:

    [root@kafka02 .ssh]# java -version
    java version "1.8.0_202"
    Java(TM) SE Runtime Environment (build 1.8.0_202-b08)
    Java HotSpot(TM) 64-Bit Server VM (build 25.202-b08, mixed mode) [root@kafka02 .ssh]# javac -version
    javac 1.8.0_202

    将配置好的jdk目录传送给其他几台机器:

    scp -r /opt/ronnie/jdk1.8 root@192.168.180.xxx:/opt/ronnie

Zookeeper安装

  • 上传Zookeeper的tar包, 我这里用的是3.5.5

    Centos7.4 kafka集群安装与kafka-eagle1.3.9的安装

  • tar -zxvf 该包 -C 你想要解压到的目录

    我这里一样解压到了/opt/ronnie/下, 并 mv zookeeperXXXXX zookeeper 将其重命名为zookeeper

    • 创建data目录:
    mkdir -p /opt/ronnie/zookeeper/data
    • 在data目录下创建日志目录:
    mkdir -p /opt/ronnie/zookeeper/data/log
    • 在data目录下创建zk目录:
    mkdir -p /opt/ronnie/zookeeper/data/zk
    • cd zk/, 创建myid, 三台虚拟机kafka01, kafka02, kafka03 分别对应myid 1,2,3

    • 进入zookeeper的配置文件目录, 创建并修改zoo.cfg

      cd /opt/ronnie/zookeeper/conf
      
      # 拷贝一份zoo_sample.cfg 为 zoo.cfg
      cp zoo_sample.cfg zoo.cfg # 修改zoo.cfg文件
      vim zoo.cfg

      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.
      dataDir=/opt/ronnie/zookeeper/data/zk
      dataLogDir=/opt/ronnie/zookeeper/data/log
      # 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=1
      server.1=kafka01:2888:3888
      server.2=kafka02:2888:3888
      server.3=kafka03:2888:3888
    • 将zookeeper添加至环境目录

      vim /etc/profile
      
      # 添加Zookeeper配置
      export ZOOKEEPER_HOME=/opt/ronnie/zookeeper
      export PATH=$ZOOKEEPER_HOME/bin:$PATH
    • 将配置好的zookeeper目录传送给其他几台虚拟机

    scp -r /opt/ronnie/zookeeper root@192.168.180.xxx:/opt/ronnie
    • 启动Zookeeper: zkServer.sh start

    • 检查Zookeeper启动状态: zkServer.sh status

      成功启动案例:

    [root@kafka02 conf]# zkServer.sh status
    ZooKeeper JMX enabled by default
    Using config: /opt/ronnie/zookeeper/bin/../conf/zoo.cfg
    Client port found: 2181. Client address: localhost.
    Mode: leader

    ​ 如果报了: JMX enabled by default

    Using config: /hadoop/zookeeper/bin/../conf/zoo.cfg

    Error contacting service. It is probably not running.

    可能是配置文件的问题, 也可能是防火墙的问题, 可以cd logs 去查看下日志中的报错来定位问题

Kafka安装

  • 上传kafka的tar包, 并tar -zxvf -C 你想要解压的目录,

我这用的是2.12-2.3.0版本的kafkaCentos7.4 kafka集群安装与kafka-eagle1.3.9的安装

  • 修改配置文件

    vim /opt/ronnie/kafka/config/server.properties
    
    # server.properties 服务器属性
    # Licensed to the Apache Software Foundation (ASF) under one or more
    # 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
    # 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.
    # brokerId 需要是唯一的, 这里我就把每台的brokerId分别设置成200,201 和 202 了
    broker.id=200 # port 端口
    port=9092 # hostname 主机名, 分别修改为各自对应的
    host.name=kafka01 ############################# 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
    # 监听者也需要将主机名设置为各自对应的
    listeners=PLAINTEXT://kafka01:9092
    #advertised.listeners=PLAINTEXT://your.host.name:9092 #listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL num.network.threads=3 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 #############################
    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.
    # 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. #log.flush.interval.ms=1000
    # 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的连接
    zookeeper.connect=kafka01:2181,kafka02:2181,kafka03:2181 # Timeout in ms for connecting to zookeeper
    zookeeper.connection.timeout.ms=6000 ############################# 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
    • 将配置好的kafka目录发送给其他虚拟机
    scp -r /opt/ronnie/kafka root@192.168.180.xxx:/opt/ronnie
    • 在三台虚拟机上启动kafka
    cd /opt/ronnie/kafka
    bin/kafka-server-start.sh config/server.properties&
    • 检查kafka是否启动, 成功案例
    [root@kafka02 ronnie]# jps
    15857 Jps
    11672 QuorumPeerMain
    12569 Kafka

Kafka-eagle安装

  • 下载

https://codeload.github.com/smartloli/kafka-eagle-bin/tar.gz/v1.3.9

  • 上传tar包并 tar -zxvf -C /opt/ronnie/kafka, 然后 mv kafka-eagle-xxxxx kafka-eagle 将解压后的文件重命名为kafka-eagle
  • 然后你会发现里面还有一个tar包..... tar -zxvf 该包 解压到当前目录并删除tar包
  • 配置环境变量
vim /etc/profile

# profile
export KE_HOME=/opt/ronnie/kafka/kafka-eagle/kafka-eagle-web-1.3.9
export PATH=$KE_HOME/bin:$PATH
  • 修改eagle设置

    vim /opt/ronnie/kafka/kafka-eagle/kafka-eagle-web-1.3.9/conf/system-config.properties
    ######################################
    # multi zookeeper&kafka cluster list
    ######################################
    # 设置集群名和zookeeper集群列表
    kafka.eagle.zk.cluster.alias=cluster1
    cluster1.zk.list=kafka01:2181,kafka02:2181,kafka03:2181
    # cluster2.zk.list=xdn10:2181,xdn11:2181,xdn12:2181 ######################################
    # zk client thread limit
    ######################################
    kafka.zk.limit.size=25 ######################################
    # kafka eagle webui port
    ######################################
    kafka.eagle.webui.port=8048 ######################################
    # kafka offset storage
    ######################################
    cluster1.kafka.eagle.offset.storage=kafka
    #cluster2.kafka.eagle.offset.storage=zk ######################################
    # enable kafka metrics
    ######################################
    # 是否使用图表, 使用的话需要创建一个JMX端口
    kafka.eagle.metrics.charts=true
    ######################################
    # kafka sql topic records max
    ######################################
    kafka.eagle.sql.topic.records.max=5000
    # alarm email configure
    ######################################
    kafka.eagle.mail.enable=true
    kafka.eagle.mail.sa=alert_sa@163.com
    kafka.eagle.mail.username=alert_sa@163.com
    kafka.eagle.mail.password=mqslimczkdqabbbh
    kafka.eagle.mail.server.host=smtp.163.com
    kafka.eagle.mail.server.port=25 ######################################
    # alarm im configure
    ######################################
    #kafka.eagle.im.dingding.enable=true
    #kafka.eagle.im.dingding.url=https://oapi.dingtalk.com/robot/send?access_token= #kafka.eagle.im.wechat.enable=true
    #kafka.eagle.im.wechat.token=https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid=xxx&corpsecret=xxx
    #kafka.eagle.im.wechat.url=https://qyapi.weixin.qq.com/cgi-bin/message/send?access_token=
    #kafka.eagle.im.wechat.touser=
    #kafka.eagle.im.wechat.toparty=
    #kafka.eagle.im.wechat.totag=
    #kafka.eagle.im.wechat.agentid= ######################################
    # delete kafka topic token
    ######################################
    kafka.eagle.topic.token=keadmin ######################################
    # kafka sasl authenticate
    ######################################
    cluster1.kafka.eagle.sasl.enable=false
    cluster1.kafka.eagle.sasl.protocol=SASL_PLAINTEXT
    cluster1.kafka.eagle.sasl.mechanism=PLAIN
    cluster1.kafka.eagle.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="admin" password="kafka-eagle"; # cluster2.kafka.eagle.sasl.enable=false
    # cluster2.kafka.eagle.sasl.protocol=SASL_PLAINTEXT
    # cluster2.kafka.eagle.sasl.mechanism=PLAIN
    # cluster2.kafka.eagle.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="admin" password="kafka-eagle"; ######################################
    # kafka jdbc driver address
    ######################################
    # 默认使用sqlite轻量级数据库, 可以配置为mysql, oracle, redis, mongodb等数据库
    kafka.eagle.driver=org.sqlite.JDBC
    kafka.eagle.url=jdbc:sqlite:/opt/ronnie/kafka/kafka-eagle/kafka-eagle-web-1.3.9/db/ke.db
    kafka.eagle.username=root
    kafka.eagle.password=123456
    • 创建JMX端口
    vim /opt/ronnie/kafka/bin/kafka-server-start.sh
    
    # kafka-server-start.sh 在 export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"后添加JMX端口
    if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
    export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
    export JMX_PORT="9999"
    fi
    • 修改ke.sh权限
    cd /opt/ronnie/kafka/kafka-eagle/kafka-eagle-web-1.3.9/bin/
    chmod 777 ke.sh
    • 开启kafka-eagle
    ke.sh start 
    
    # 创建成功
    *******************************************************************
    * Kafka Eagle system monitor port successful...
    *******************************************************************
    [2019-10-04 13:27:09] INFO: Status Code[0]
    [2019-10-04 13:27:09] INFO: [Job done!]
    Welcome to
    __ __ ___ ____ __ __ ___ ______ ___ ______ __ ______
    / //_/ / | / __/ / //_/ / | / ____/ / | / ____/ / / / ____/
    / ,< / /| | / /_ / ,< / /| | / __/ / /| | / / __ / / / __/
    / /| | / ___ | / __/ / /| | / ___ | / /___ / ___ |/ /_/ / / /___ / /___
    /_/ |_| /_/ |_|/_/ /_/ |_| /_/ |_| /_____/ /_/ |_|\____/ /_____//_____/ Version 1.3.9
    *******************************************************************
    * Kafka Eagle Service has started success.
    * Welcome, Now you can visit 'http://192.168.180.200:8048/ke'
    * Account:admin ,Password:123456
    *******************************************************************

    进入http://192.168.180.200:8048/ke, 以admin为用户名, 123456为密码即可进入kafka eagle dashboard

    Centos7.4 kafka集群安装与kafka-eagle1.3.9的安装

Centos7.4 kafka集群安装与kafka-eagle1.3.9的安装