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

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

集群规划:

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

• 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

  

• 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kafka

• 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

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原文地址：https://www.cnblogs.com/ronnieyuan/p/11622315.html