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  • 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

    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

    1570168757998

    1570168818203

    1570168830124

    • 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

      1570170596242

    • 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kafka1570171978931

    • 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

      1570174814901

    1570174828911

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