基础设施

  • 网卡静态IP
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    ifconfig 查看网卡信息
    vim /etc/udev/rules.d/70-persistent-ipoib.rules
    ACTION=="add", SUBSYSTEM=="net", DRIVERS=="?*", ATTR{type}=="32", ATTR{address}=="?*00:02:c9:03:00:31:78:f2", NAME="网卡名"
    vim /etc/sysconfig/network-scripts/ifcfg-网卡名
    POXY_METHOD=none
    BROWSER_ONLY=no
    BOOTPROTO=static //设置静态IP
    DEFROUTE=yes
    NAME=enp0s3
    UUID=290c55a8-1b88-4d99-b741-dcfe455f5c2c
    DEVICE=enp0s3
    ONBOOT=yes
    IPADDR=192.168.0.101 //一般本地IP最后依次增加
    NETMASK=255.255.255.0
    GATWAY=192.168.0.1 //同一集群必须同一网关
  • 设置hosts
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    vim /etc/hosts
    192.168.0.101 hadoop01
    192.168.0.101 hadoop02
  • 关闭防火墙
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    Centos6.x
    service iptables stop
    service iptables status
    chkconfig iptables off
    Centos7.x
    systemctl stop firewalld.service
    systemctl status firewalld.service
    systemctl disable firewalld.service
  • 关闭 selinux
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    vi /etc/selinux/config
    SELINUX=disabled
  • 作时间同步
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    yum install ntp  -y
    vi /etc/ntp.conf
    主节点
    注释掉其他server
    server ntp1.aliyun.com
    server 127.127.1.0
    fudge 127.127.1.0 stratum 10
    从节点
    server 192.168.0.101
    从节点设置crontab同步
    vim /etc/crontab
    10 20 * * * /usr/sbin/ntpdate -u 192.168.0.101
    systemctl start ntpd
    systemctl enable ntpd
  • 安装JDK
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    rpm -i   jdk-8u181-linux-x64.rpm
    *有一些软件只认:/usr/java/default
    vi /etc/profile
    export JAVA_HOME=/usr/java/default
    export PATH=$PATH:$JAVA_HOME/bin
    source /etc/profile | . /etc/profile

  • 免密登陆
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    ssh-keygen -t rsa  //一路回车
    ssh-copy-id 其他节点

    集群安装配置

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    tar -zxvf tar包 -C 目录

    java配置

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    rpm -i   jdk-8u181-linux-x64.rpm
    *有一些软件只认:/usr/java/default
    vi /etc/profile
    export JAVA_HOME=/usr/java/default
    export PATH=$PATH:$JAVA_HOME/bin

hadooop 配置

NN NN JN ZKFC ZK DN RM NM
node01 * * *
node02 * * * * * *
node03 * * * * *
node04 * * * *

hadoop配置的七个文件:

core-site.xml hdfs-site.xml mapred-site.xml yarn-site.xml

hadoop-env.sh mapred-env.sh slaves

core-site.xml

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<property>
<name>fs.defaultFS</name>
<value>hdfs://mycluster</value>
</property>

<property>
<name>ha.zookeeper.quorum</name>
<value>node02:2181,node03:2181,node04:2181</value>
</property>

hdfs-site.xml

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# 以下是  一对多,逻辑到物理节点的映射
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/var/bigdata/hadoop/local/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/var/bigdata/hadoop/local/dfs/data</value>
</property>

<property>
<name>dfs.nameservices</name>
<value>mycluster</value>
</property>
<property>
<name>dfs.ha.namenodes.mycluster</name>
<value>nn1,nn2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn1</name>
<value>node01:8020</value>
</property>
<property>
<name>dfs.namenode.rpc-address.mycluster.nn2</name>
<value>node02:8020</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn1</name>
<value>node01:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.mycluster.nn2</name>
<value>node02:50070</value>
</property>

#以下是JN在哪里启动,数据存那个磁盘
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://node01:8485;node02:8485;node03:8485/mycluster</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/var/bigdata/hadoop/ha/dfs/jn</value>
</property>

#HA角色切换的代理类和实现方法,我们用的ssh免密
<property>
<name>dfs.client.failover.proxy.provider.mycluster</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>

#开启自动化: 启动zkfc
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>

mapred-site.xml

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<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>

yarn-site.xml

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<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>

<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>node02:2181,node03:2181,node04:2181</value>
</property>

<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>lemcoden_yarn_cluster</value>
</property>

<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>node03</value>
</property>
<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>node04</value>
</property>

hadoop-env.sh

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export JAVA_HOME=/usr/java/default

mapred-env.sh

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export JAVA_HOME=/usr/java/default

slaves

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node02
node03
node04

设置环境变量

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vi /etc/profile
export JAVA_HOME=/usr/java/default
export HADOOP_HOME=/opt/bigdata/hadoop-2.6.5
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
source /etc/profile

软件包分发:

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cd /opt
scp -r ./bigdata/ node02:`pwd`
scp -r ./bigdata/ node03:`pwd`
scp -r ./bigdata/ node04:`pwd`

zookeeper配置:

cp zoo_sanmple.cfg zoo.cfg

zoo.cfg

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   datadir=/var/bigdata/hadoop/zk
server.1=node02:2888:3888
server.2=node03:2888:3888
server.3=node04:2888:3888

mkdir /var/bigdata/hadoop/zk
配置环境变量:
node02

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vi /etc/profile
export ZOOKEEPER_HOME=/opt/bigdata/zookeeper-3.4.6
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$ZOOKEEPER_HOME/bin
. /etc/profile

分发软件包:

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scp -r ./zookeeper-3.4.6  node03:`pwd`
scp -r ./zookeeper-3.4.6 node04:`pwd`

设置myid:

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node03:
mkdir /var/bigdata/hadoop/zk
echo 2 > /var/bigdata/hadoop/zk/myid
*环境变量
. /etc/profile
node04:
mkdir /var/bigdata/hadoop/zk
echo 3 > /var/bigdata/hadoop/zk/myid
*环境变量
. /etc/profile

集群初始化启动

先启动JN (node1~node3)

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hadoop-daemon.sh start journalnode

选择一个NN格式化(只在初始化时做一次)

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hdfs namenode -format

在另一台机器里同步元数据(先启动node1的namenode)

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hdfs namenode -bootstrapStandby

格式化zk(也是只做一次)

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hdfs zkfc  -formatZK

启动集群

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start-dfs.sh
start-yarn.sh
node03-04:
yarn-daemon.sh start recourcemanager
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