1. 集群规划

    Master JobManager Standby JobManager Task Manager Zookeeper
    flink01
    flink02
    flink03
    flink04
  2. 前置准备

    • 克隆4台虚拟机

    • 网络配置

      • vim /etc/netplan/01-network-manager-all.yaml 修改配置文件

      • 集群网络配置如下:

        # flink01
        network:
        version: 2
        renderer: NetworkManager ethernets:
        ens33:
        dhcp4: no
        dhcp6: no
        addresses: [192.168.180.160/24]
        gateway4: 192.168.180.2
        nameservers:
        addresses: [114.114.114.114, 8.8.8.8] # flink02
        network:
        version: 2
        renderer: NetworkManager ethernets:
        ens33:
        dhcp4: no
        dhcp6: no
        addresses: [192.168.180.161/24]
        gateway4: 192.168.180.2
        nameservers:
        addresses: [114.114.114.114, 8.8.8.8] # flink03
        network:
        version: 2
        renderer: NetworkManager ethernets:
        ens33:
        dhcp4: no
        dhcp6: no
        addresses: [192.168.180.162/24]
        gateway4: 192.168.180.2
        nameservers:
        addresses: [114.114.114.114, 8.8.8.8] #flink04
        network:
        version: 2
        renderer: NetworkManager ethernets:
        ens33:
        dhcp4: no
        dhcp6: no
        addresses: [192.168.180.163/24]
        gateway4: 192.168.180.2
        nameservers:
        addresses: [114.114.114.114, 8.8.8.8]
      • 能 ping 通 baidu 连上 xshell 即可, 连不上的可能是防火墙问题, ubuntu 用的防火墙是ufw, selinux 默认是disabled, 正常来说应该不会连不上。

    • 修改 hostname 及 hosts文件

      • vim /etc/hostname 修改 hostname 为 flink01

      • vim /etc/hosts 修改 host文件

        127.0.0.1       localhost
        192.168.180.160 flink01
        192.168.180.161 flink02
        192.168.180.162 flink03
        192.168.180.163 flink04 # The following lines are desirable for IPv6 capable hosts
        ::1 ip6-localhost ip6-loopback
        fe00::0 ip6-localnet
        ff00::0 ip6-mcastprefix
        ff02::1 ip6-allnodes
        ff02::2 ip6-allrouters
    • JDK配置

      • 如果没有配置jdk请参考https://www.cnblogs.com/ronnieyuan/p/11461377.html

        • 如果之前有下过别的版本的jdk请将jdk的tar包解压到/usr/lib/jvm,然后再修改配置文件并选择jdk
    • 免密登录

      root@flink01:~# ssh-keygen -t rsa -P ""
      Generating public/private rsa key pair.
      Enter file in which to save the key (/root/.ssh/id_rsa):
      Created directory '/root/.ssh'.
      Your identification has been saved in /root/.ssh/id_rsa.
      Your public key has been saved in /root/.ssh/id_rsa.pub.
      The key fingerprint is:
      SHA256:2P9NCcuEljhcWBndG8FBoAxOeGbZDIHIdw06r3bbsug root@flink01
      The key's randomart image is:
      +---[RSA 2048]----+
      | . . o*Oo+.=+o |
      | o ++*==.. + |
      | .o=o + o |
      | * o o . |
      | . S + o |
      | . + o o . |
      | o . . o o |
      | . o.o . o |
      | .E oo. . . |
      +----[SHA256]-----+
      • 在~目录下vim .ssh/authorized_keys:

        将5台虚拟机公钥都存入该文件中, 每台的authorized_keys都一致

        ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDZGR9+3bTIq6kZ5c+1O2mvyPBM790/0QUuVcjPSREK1pMpyyKRu6CUaBlTOM8JJzkCnEe7DVKY8lV2q7Zv7VVXTLI2dKuUmo0oMSGo5ABvfjGUJfFWdNkqgrPgT+Opl/1kIqr6wTGGCJsRx+Nfkic31WhnPij2IM/Zpqu88kiXmUbaNwBDM5jaRqB/nk7DW4aMwF5oeX6LvEuI1SVmY3DH0w6Cf1EDtOyYG1f9Vof8ao88JOwRZazTNbBdsVcPKDbtvovs/lP+CrtwmAcGFGZSjA22I0dc9ek0puQ5pNUgindpb9egJJFoGhtduut6OfmmvbB8u9PjdBkHcp3Vof4j root@flink01
        
        ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDMgNUIzT1YRTGX5E4MiWyQ9UxfQ1pRwCSMy3wqJOuyqv/kW5VsL0BS1VAwtSS9FqCBon3lT0zfgPEkscDdKugMtpgSeREjbQQJSDYPQGyCsHcXQgne5dfaWbvLvaFbNO1G5wqW6E3zC5zy85mSdg9qg8NmqYwyz0O8WSRottuAMHfhoNkHemdrIHhVBBZeKxFbsiXxiWi1EQJUYhYWU1LAqcpiIgFhjAGJkH91qULmm8FxkbB3ytcMlkFBNbcr3UkN5EK0VGV/Ly1qgs9UmXtS7xb5Lw5RlqjUMvwc28oHZYSfPRS1TL/oaFBZSIIGPjudke5wsBwNnzHGE44sTWUt root@flink02
        
        ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDRYkED/hA9nqmCBClIByAIcrT94edjno1HXn/KIgrCXy0aoIfsgY5FDr/3iZgaEdvnDz1woyKyj5gqkYxdQw0vLiJGOefgSC4yx7j6vKaK+2aSxJD+DLFB6toFAlyfWziTnyoPj3hPhlpSdG1P4YSEpMub5p1gVsEX9+vRvyazIabsbY9YsCsv/WDs3aAYyalfuvN+AXTrXI8di+AGgsjbwmo0/VQWQfItHY+WdTGcfBQQ8Ad9UX2wVRQPXq7gHh3LlBWKZnB+nZxavnI/G9Lo9w9MODSBgxfCfKNu6fpnpcvh8u+AqmT6rNKZg5NuZWW16siGvLNReSnWn7KwHzzD root@flink03
        
        ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDkBQxFdKvg2MzGl1eFeDO1iqL2+fdJ9b4ktU9fjO/APEkumbftfrDTgJAnQhcXMsU7RjCJ+Zwt/dpeGhql3o7hXuhjQiUXf+8GXYre8cw9+xaYmaVhCZYbpcFiSrd/8TK3qv+gf21YIT7iQEFEl384qxPbyoU4Lm+M/1aY3m4gHvELv3jfg8oVBypxgaAJpJj9ZnnA0zN470cod1E67yVbfIkoSTy8BXd8UhVedYODD1ddaFX8MF53acUdJgLCGzh4axxivlGqdXWB7lhjbBvjllt2LYb7hW+O1qyCFNiRx/+zR9dSu5ZSW3QNg2EP/ljcCjDWa7AHgTvw6BYkdpj1 root@flink04
        
        
      • 依次测试免密登录是否成功

        • 成功案例:

          root@flink01:~# ssh root@192.168.180.161
          Welcome to Ubuntu 18.04.2 LTS (GNU/Linux 4.18.0-17-generic x86_64) * Documentation: https://help.ubuntu.com
          * Management: https://landscape.canonical.com
          * Support: https://ubuntu.com/advantage * Canonical Livepatch is available for installation.
          - Reduce system reboots and improve kernel security. Activate at:
          https://ubuntu.com/livepatch 273 packages can be updated.
          272 updates are security updates. Your Hardware Enablement Stack (HWE) is supported until April 2023.
          Last login: Sun Oct 27 11:11:26 2019 from 192.168.180.160
          root@flink02:~#
  3. 集群搭建

    • Zookeeper 搭建

      • 上传 tar 包 并解压到指定目录 并修改解压后的目录名称

        tar -zxvf apache-zookeeper-3.5.5-bin.tar.gz -C /opt/ronnie/
        
        cd /opt/ronnie
        
        mv apache-zookeeper-3.5.5-bin/ zookeeper-3.5.5
      • 创建并修改zookeeper配置文件

        • cd zookeeper-3.5.5/conf/ 进入Zookeeper配置文件目录

        • cp zoo_sample.cfg zoo.cfg 拷贝一份zoo_sample.cfg 为 zoo.cfg

        • vim zoo.cfg 修改配置文件

          # 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-3.5.5/data/zk
          dataLogDir=/opt/ronnie/zookeeper-3.5.5/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=flink01:2888:3888
          server.2=flink02:2888:3888
          server.3=flink03:2888:3888
          server.4=flink04:2888:3888
          • 创建data目录:

            mkdir -p /opt/ronnie/zookeeper-3.5.5/data
          • 创建data目录下的日志目录:

            mkdir -p /opt/ronnie/zookeeper-3.5.5/data/log
          • 创建data目录下的zk目录

            mkdir -p /opt/ronnie/zookeeper-3.5.5/data/zk
      • cd zk/, 创建myid, 四台虚拟机flink01, flink02, flink03, flink04 分别对应 myid 1,2,3,4

      • 添加环境变量

        • vim ~/.bashrc , 完成后 source ~/.bashrc

          # Zookeeper
          export ZOOKEEPER_HOME=/opt/ronnie/zookeeper-3.5.5
          export PATH=$ZOOKEEPER_HOME/bin:$PATH
      • 将Zookeeper目录传送给其他几台虚拟机(记得改myid)

        cd /opt/ronnie
        scp -r zookeeper-3.5.5/ root@192.168.180.161:/opt/ronnie/
        scp -r zookeeper-3.5.5/ root@192.168.180.162:/opt/ronnie/
        scp -r zookeeper-3.5.5/ root@192.168.180.163:/opt/ronnie/
      • 启动Zookeeper: zkServer.sh start

      • 检查Zookeeper 状态: zkServer.sh status

      • 有显示该节点状态就表示启动成功了

        root@flink01:~# zkServer.sh status
        ZooKeeper JMX enabled by default
        Using config: /opt/ronnie/zookeeper-3.5.5/bin/../conf/zoo.cfg
        Client port found: 2181. Client address: localhost.
        Mode: follower
      • 报错请查看日志定位错误

    • Hadoop集群搭建(主要还是为了hdfs, On-Yarn后面再弄)

      • 集群分配

        | | NN-1 | NN-2 | DN | ZK | ZKFC | JN |

        | ------- | ---- | ---- | ---- | ---- | ---- | ---- |

        | flink01 | * | | * | * | * | * |

        | flink02 | | * | * | * | * | * |

        | flink03 | | | * | * | | * |

        | flink04 | | | * | * | | * |

  • 上传tar包并解压到指定路径:

       tar -zxvf hadoop-3.1.2.tar.gz -C /opt/ronnie
  • vim /opt/ronnie/hadoop-3.1.2/etc/hadoop/hadoop-env.sh 将 环境文件中的jdk路径替换为本机jdk路径

    export JAVA_HOME=/usr/lib/jvm/jdk1.8
    • vim /opt/ronnie/hadoop-3.1.2/etc/hadoop/mapred-env.sh, 添加:

      export JAVA_HOME=/usr/lib/jvm/jdk1.8
    • vim /opt/ronnie/hadoop-3.1.2/etc/hadoop/yarn-env.sh,添加:

      export JAVA_HOME=/usr/lib/jvm/jdk1.8
    • vim /opt/ronnie/hadoop-3.1.2/etc/hadoop/core-site.xml 修改core-site文件

      <configuration>
      <property>
      <name>fs.defaultFS</name>
      <value>hdfs://ronnie</value>
      </property>
      <property>
      <name>ha.zookeeper.quorum</name>
      <value>flink01:2181,flink02:2181,flink03:2181,flink04:2181</value>
      </property>
      <property>
      <name>hadoop.tmp.dir</name>
      <value>/var/ronnie/hadoop/ha</value>
      </property>
      </configuration>
    • vim /opt/ronnie/hadoop-3.1.2/etc/hadoop/hdfs-site.xml

      <configuration>
      <property>
      <name>dfs.nameservices</name>
      <value>ronnie</value>
      </property>
      <property>
      <name>dfs.ha.namenodes.ronnie</name>
      <value>nn1,nn2</value>
      </property>
      <property>
      <name>dfs.namenode.rpc-address.ronnie.nn1</name>
      <value>flink01:8020</value>
      </property>
      <property>
      <name>dfs.namenode.rpc-address.ronnie.nn2</name>
      <value>flink02:8020</value>
      </property>
      <property>
      <name>dfs.namenode.http-address.ronnie.nn1</name>
      <value>flink01:50070</value>
      </property>
      <property>
      <name>dfs.namenode.http-address.ronnie.nn2</name>
      <value>flink02:50070</value>
      </property>
      <property>
      <name>dfs.namenode.shared.edits.dir</name>
      <value>qjournal://flink01:8485;flink02:8485;flink03:8485;flink04:8485/ronnie</value>
      </property>
      <property>
      <name>dfs.journalnode.edits.dir</name>
      <value>/var/ronnie/hadoop/ha/jn</value>
      </property>
      <property>
      <name>dfs.client.failover.proxy.provider.ronnie</name>
      <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
      </property>
      <property>
      <name>dfs.ha.fencing.methods</name>
      <value>sshfence</value>
      </property>
      <property>
      <name>dfs.ha.fencing.ssh.private-key-files</name>
      <value>/root/.ssh/id_dsa</value>
      </property>
      <property>
      <name>dfs.ha.automatic-failover.enabled</name>
      <value>true</value>
      </property>
      </configuration>
      • vim /opt/ronnie/hadoop-3.1.2/etc/hadoop/workers修改工作组

        flink01
        flink02
        flink03
        flink04
      • vim /opt/ronnie/hadoop-3.1.2/sbin/start-dfs.sh

        vim /opt/ronnie/hadoop-3.1.2/sbin/stop-dfs.sh

        在文件顶部头文件之后添加:

        HDFS_DATANODE_USER=root
        
        HADOOP_SECURE_DN_USER=hdfs
        
        HDFS_NAMENODE_USER=root
        
        HDFS_SECONDARYNAMENODE_USER=root
        
        HDFS_JOURNALNODE_USER=root
        
        HDFS_ZKFC_USER=root
      • vim /opt/ronnie/hadoop-3.1.2/sbin/start-yarn.sh

        vim /opt/ronnie/hadoop-3.1.2/sbin/stop-yarn.sh

        在文件顶部头文件之后添加:

        YARN_RESOURCEMANAGER_USER=root
        
        HADOOP_SECURE_DN_USER=yarn
        
        YARN_NODEMANAGER_USER=root
      • 将文件发送给其他三台虚拟机:

        scp -r /opt/ronnie/hadoop-3.1.2/ root@flink02:/opt/ronnie/
        scp -r /opt/ronnie/hadoop-3.1.2/ root@flink03:/opt/ronnie/
        scp -r /opt/ronnie/hadoop-3.1.2/ root@flink04:/opt/ronnie/
      • vim ~/.bashrc 添加hadoop路径

        #HADOOP VARIABLES
        export HADOOP_HOME=/opt/ronnie/hadoop-3.1.2
        export PATH=$PATH:$HADOOP_HOME/bin
        export PATH=$PATH:$HADOOP_HOME/sbin
        export HADOOP_MAPRED_HOME=$HADOOP_HOME
        export HADOOP_COMMON_HOME=$HADOOP_HOME
        export HADOOP_HDFS_HOME=$HADOOP_HOME
        export YARN_HOME=$HADOOP_HOME
        export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
        export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"
        • source ~/.bashrc 使新配置生效(记得每台都要改)

          hadoop version查看版本, 显示如下则hadoop路径配置成功:

          root@flink01:~# hadoop version
          Hadoop 3.1.2
          Source code repository https://github.com/apache/hadoop.git -r 1019dde65bcf12e05ef48ac71e84550d589e5d9a
          Compiled by sunilg on 2019-01-29T01:39Z
          Compiled with protoc 2.5.0
          From source with checksum 64b8bdd4ca6e77cce75a93eb09ab2a9
          This command was run using /opt/ronnie/hadoop-3.1.2/share/hadoop/common/hadoop-common-3.1.2.jar
      • 启动集群:

        • 启动Zookeeper

          zkServer.sh start
        • 在 flink01, flink02, flink03, flink04上启动journalnode

          hadoop-daemon.sh start journalnode
        • jps 查看进程

          root@flink01:~# jps
          2842 QuorumPeerMain
          3068 Jps
          3004 JournalNode
        • 在两台NameNode中选一台进行格式化(这里选flink01)

          • hdfs namenode -format
          • hdfs --daemon start 启动 namenode
        • 在另一台NameNode上同步格式化后的相关信息

          • hdfs namenode -bootstrapStandby
        • 格式化zkfc

          • hdfs zkfc -formatZK
        • 启动 hdfs 集群

          • start-dfs.sh
        • 打开50070端口:

        • hdfs搭建成功
  • Flink 集群搭建

    • 上传 tar 包并解压到指定目录

      • 这次发生了一个问题, rz -E上传 乱码了, 解决方案: rz -be 上传

      • 解压到指定目录

      tar zxvf flink-1.9.0-bin-scala_2.12.tgz -C /opt/ronnie/

      
      
      - vim /opt/ronnie/flink-1.9.0/conf/flink-conf.yaml 修改flink配置文件: 
      
      ```shell
      # 如果你有多个jdk那还是得指明使用的哪个版本的位置
      env.java.home: /usr/lib/jvm/jdk1.8
      # JobManager的rpc地址
      jobmanager.rpc.address: flink01 # The RPC port where the JobManager is reachable.
      # rpc 端口号 jobmanager.rpc.port: 6123 # The heap size for the JobManager JVM # JobManager的 JVM 的堆的大小 jobmanager.heap.size: 1024m # The heap size for the TaskManager JVM # TaskManager 的 堆的大小 taskmanager.heap.size: 1024m # The number of task slots that each TaskManager offers. Each slot runs one parallel pipeline. # 每个TaskManager提供的任务槽的数量, 每个槽运行一条并行的管道 taskmanager.numberOfTaskSlots: 1 # The parallelism used for programs that did not specify and other parallelism. # 程序的并行度 parallelism.default: 1 # 高可用配置 high-availability: zookeeper high-availability.zookeeper.quorum: flink01:2181,flink01:2181,flink03:2181,flink04:2181 high-availability.zookeeper.path.root: /flink high-availability.cluster-id: /default_one # 这个必须是NameNode的8020 high-availability.zookeeper.storageDir: hdfs://flink01:8020/flink/ha
    • vim /opt/ronnie/flink-1.9.0/conf/masters

      flink01:8081
      flink02:8081
    • vim /opt/ronnie/flink-1.9.0/conf/slaves

      flink03
      flink04
    • vim ~/.bashrc 修改配置文件

      # Flink
      export FLINK_HOME=/opt/ronnie/flink-1.9.0
      export PATH=$FLINK_HOME/bin:$PATH
    • start-cluster.sh 后jps发现没有对应jobManager进程,查看flink日志发现报错:

      UnsupportedFileSystemSchemeException: Hadoop is not in the classpath/dependencies.
      • 需要去官网下载Pre-bundled Hadoop

      • 将jar包上传至 flink 目录下的 lib目录

        cd /opt/ronnie/flink-1.9.0/lib
      • 将 jar 包 发送至其他三台虚拟机

        scp flink-shaded-hadoop-2-uber-2.8.3-7.0.jar root@flink02:`pwd`
        scp flink-shaded-hadoop-2-uber-2.8.3-7.0.jar root@flink03:`pwd`
        scp flink-shaded-hadoop-2-uber-2.8.3-7.0.jar root@flink03:`pwd`
    • start-cluster.sh 启动 flink 集群, jps查看有对应的StandaloneSessionClusterEntrypoint进程后, 打开8081端口

    • 运行一下自带的wordCount测试一下

      cd /opt/ronnie/flink-1.9.0
      flink run examples/streaming/WordCount.jar
      • 执行结果:

        Starting execution of program
        Executing WordCount example with default input data set.
        Use --input to specify file input.
        Printing result to stdout. Use --output to specify output path.
        Program execution finished
        Job with JobID 2262c186bb5072917e79e2d081e9fab3 has finished.
        Job Runtime: 1311 ms
      • UI界面

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