hadoop2.7.3+spark2.0.1+scala2.11.8集群部署

一、环境

4.用户

hadoop

5.目录规划

/home/hadoop/app    #程序目录

/home/hadoop/data  #数据目录

 

 

#打开文件的最大数

vi /etc/security/limits.d/20-nproc.conf

soft soft nproc 102400
root soft nproc unlimited
soft soft nofile 102400
soft hard nofile 102400

 

二、系统环境配置

 #root操作 (所有主机)

1.关闭selinux，firewall  

  vim /etc/selinux/config

  #将SELINUX=enforcing改为SELINUX=disabled

 #临时关闭setenforce 0

 systemctl stop firewalld.service

 systemctl disable firewalld.service 

2.更改主机名

3.配置host解析

  192.168.0.179 hadoop01

     192.168.0.189 hadoop02

     192.168.0.190 hadoop03

     192.168.0.191 hadoop04

     192.168.0.200 hadoop05

4.添加hadoop用户和组

    groupadd hadoop 

    useradd  -g hadoop hadoop

5. 给hadoop设置密码

    passwd hadoop

6.切换到hadoop用户

   su hadoop

   cd ~

 #hadoop操作

 7.配置免密码登陆 （hadoop01）

   ssh-keygen     #一路回车

   cat .ssh/id_rsa.pub > authorized_keys

   chmod 600 authorized_keys

   将其他主机上的authorized_keys文件内容添加到本机authorized_keys中。

    然后将文件传给其他主机

8.在登陆时不输入yes  (所有主机)

   vim /etc/ssh/ssh_sshconfig 

   StrictHostKeyChecking ask 改成  StrictHostKeyChecking no

 

三、JDK安装

软件目录：  /home/hadoop/

1.安装jdk

#root用户  （所有主机）

tar zxf jdk1.8.0_101.tar.gz

#vim /etc/profile

   export JAVA_HOME=/home/hadoop/jdk1.8.0_101

   export CLASSPATH=.:$JAVA_HOME/lib/

   export JRE_HOME=/home/hadoop/jdk1.8.0_101/jre

   export PATH=:$PATH:$JAVA_HOME/bin:$JRE_HOME/bin

#source /etc/profile

#java -version                                   #检查，出现如下信息表示成功

    java version "1.8.0_101"

   Java(TM) SE Runtime Environment (build 1.8.0_101-b13)

   Java HotSpot(TM) 64-Bit Server VM (build 25.101-b13, mixed           mode)

四、安装zookeeper

   tar zxf zookeeper-3.4.8.tar.gz

   cd zookeeper-3.4.8/conf

   cp zoo_sample.cfg zoo.cfg

   vim zoo.cfg

            dataDir=/home/hadoop/zookeeper-3.4.8/zkdata

            server.1=hadoop01:2888:3888

            server.2=hadoop02:2888:3888

            server.3=hadoop03:2888:3888

            server.4=hadoop04:2888:3888

            server.5=hadoop05:2888:3888

   cd ../

   mkdir data && cd data

   echo 1 > myid

   将zookeeper-3.4.8文件拷贝到其他主机，并更改mydi里面的数字
五、安装hadoop

     tar zxf hadoop-2.7.3.tar.gz 

     mkdir hdfs tmp

     mkdir hdfs/name             

     mkdir hdfs/data/disk1     #配置文件中会用到这个路径

     #配置hadoop-env.sh

     export JAVA_HOME=/home/hadoop/jdk1.8.0_101

     #编辑core-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at

    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 accompanying LICENSE file.
-->

<!-- Put site-specific property overrides in this file. -->

<configuration>
  <property>
    <name>fs.defaultFS</name>
    <value>hdfs://base</value>
  </property>
  <property>
    <name>hadoop.tmp.dir</name>
    <value>/home/hadoop/data/hadoopdata/tmp</value>
  </property>
  <!-- 指定zookeeper地址 -->
  <property>
	<name>ha.zookeeper.quorum</name>
	<value>n1:2181,n2:2181,n3:2181,n4:2181,n5:2181</value>
  </property>
  <property>
    <name>fs.hdfs.impl</name>
    <value>org.apache.hadoop.hdfs.DistributedFileSystem</value>
    <description>The FileSystem for hdfs: uris.</description>
  </property>
</configuration>

  #编辑hdfs-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at
    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 accompanying LICENSE file.
-->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property>
  <!-- 开几个备份 -->
    <name>dfs.replication</name>
    <value>3</value>
  </property>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:///home/hadoop/data/hadoopdata/name</value>
  </property>
  <property>
    <name>dfs.datanode.data.dir</name>
    <value>/home/hadoop/data/hadoopdata/disk1</value>
	<final>true</final>
  </property>  
  <property>
    <name>dfs.nameservices</name>
    <value>base</value>
  </property>
  <property>
    <name>dfs.ha.namenodes.base</name>
    <value>n1,n2</value>
  </property>
  <property>
    <name>dfs.namenode.rpc-address.base.n1</name>
    <value>n1:8020</value>
  </property>
  <property>
    <name>dfs.namenode.rpc-address.base.n2</name>
    <value>n2:8020</value>
  </property>
  <property>
    <name>dfs.namenode.http-address.base.n1</name>
    <value>n1:50070</value>
  </property>
  <property>
    <name>dfs.namenode.http-address.base.n2</name>
    <value>n2:50070</value>
  </property>
  <property>
    <name>dfs.namenode.shared.edits.dir</name>
    <value>qjournal://n1:8485;n2:8485;n3:8485;n4:8485;n5:8485/base</value>
  </property>
  <property>
    <name>dfs.client.failover.proxy.provider.base</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>/home/hadoop/.ssh/id_rsa</value>
  </property>
  <property>
    <name>dfs.journalnode.edits.dir</name>
    <value>/home/hadoop/app/hadoop-2.7.3/journal</value>
  </property>
    <property>
        <name>dfs.ha.automatic-failover.enabled</name>
        <value>true</value>
    </property>
    <property>
        <name>ha.zookeeper.quorum</name>
	<value>n1:2181,n2:2181,n3:2181,n4:2181,n5:2181</value>
    </property>
    <property>
        <!--指定ZooKeeper超时间隔，单位毫秒 -->
        <name>ha.zookeeper.session-timeout.ms</name>
        <value>2000</value>
    </property>
<property>
    <name>fs.hdfs.impl.disable.cache</name>
    <value>true</value>
</property>
</configuration>

#编辑mapred-site.xml

<configuration>
 <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
 </property>
 <property>
    <name>mapreduce.map.memory.mb</name>
    <value>8000</value>
 </property>
 <property>
    <name>mapreduce.reduce.memory.mb</name>
    <value>8000</value>
 </property>
 <property>
    <name>mapreduce.map.java.opts</name>
    <value>-Xmx8000m</value>
 </property>
 <property>
    <name>mapreduce.reduce.java.opts</name>
    <value>-Xmx8000m</value>
 </property>
 <property>
   <name>mapred.task.timeout</name>
   <value>1800000</value> <!-- 30 minutes -->
 </property>
</configuration>

#编辑yarn-site.xml

<?xml version="1.0"?>
<!--
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at

    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 accompanying LICENSE file.
-->
<configuration>
    <property>
        <name>yarn.resourcemanager.connect.retry-interval.ms</name>
        <value>2000</value>
    </property>
    <property>
        <name>yarn.resourcemanager.ha.automatic-failover.enabled</name>
        <value>true</value>
    </property>
    <!-- 开启RM高可靠 -->
	<property>
	    <name>yarn.resourcemanager.ha.enabled</name>
	    <value>true</value>
	</property>
	<!-- 指定RM的cluster id -->
	<property>
	    <name>yarn.resourcemanager.cluster-id</name>
	    <value>yrc</value>
	</property>
	<!-- 指定RM的名字 -->
	<property>
	    <name>yarn.resourcemanager.ha.rm-ids</name>
	    <value>rm1,rm2</value>
	</property>
	<!-- 分别指定RM的地址 -->
	<property>
	    <name>yarn.resourcemanager.hostname.rm1</name>
	    <value>n1</value>
	</property>
	<property>
	    <name>yarn.resourcemanager.hostname.rm2</name>
	    <value>n2</value>
	</property>
	<property>
        <name>yarn.resourcemanager.ha.id</name>
        <value>rm2</value>
	</property>
	<!-- 指定zk集群地址 -->
	<property>
	    <name>yarn.resourcemanager.zk-address</name>
	    <value>n1:2181,n2:2181,n3:2181,n4:2181,n5:2181</value>
	</property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.log-aggregation-enable</name>
        <value>true</value>
    </property>
    <property>
        <name>yarn.log-aggregation.retain-seconds</name>
        <value>86400</value>
    </property>
    <property>
        <name>yarn.nodemanager.vmem-pmem-ratio</name>
        <value>3</value>
    </property>
    <property>
        <name>yarn.nodemanager.resource.memory-mb</name>
        <value>57000</value>
    </property>
    <property>
        <name>yarn.scheduler.minimum-allocation-mb</name>
        <value>4000</value>
    </property>
    <property>
        <name>yarn.scheduler.maximum-allocation-mb</name>
        <value>10000</value>
    </property>
</configuration>

#编辑slaves文件

n1

n2

n3

n4

n5

#将hadoop目录scp到其他主机

六、启动

   启动所有zookeeper，查看状态是否成功

   启动所有journalnode

   hadoop-daemons.sh start journalnode

   #hadoop01上执行

   hdfs namenode -format         #namenode 格式化

  hdfs zkfc -formatZK                  #格式化高可用

  sbin/hadoop-daemon.sh start namenode  #启动namenode

  #备份节点执行

  hdfs namenode -bootstrapStandby       #同步主节点和备节点之间的元数据

  停止所有journalnode，namenode

  启动hdfs和yarn相关进程

  ./start-dfs.sh

  ./start-yarn.sh

 备份节点手动启动resourcemanager

#先更改备份节点的yarn-site.xml文件

<property>
        <name>yarn.resourcemanager.ha.id</name>
        <value>rm2</value>          #这里改成node的id，否则会报端口已占用的错误
</property>
./yarn-daemon.sh start resourcemanager

七、检查

[root@n1 ~]# jps　

16016 Jps
24096 DFSZKFailoverController
19859 QuorumPeerMain
22987 NameNode
18878 Datanode

29397 ResourceManager

#浏览器访问

http://ip:50070