Hadoop Yarn 安装

2021-12-19 15:54:23

环境：Linux, 8G 内存。60G 硬盘 ， Hadoop 2.2.0

为了构建基于Yarn体系的Spark集群。先要安装Hadoop集群，为了以后查阅方便记录了我本次安装的详细步骤。

事前准备

1. 机器准备

三台主机,#后面说明了用途
  • 192.168.1.1   #hadoop1 : master
  • 192.168.1.2   #hadoop2 : datanode1
  • 192.168.1.3   #hadoop3:  datanode2

在hadoop1上， vi /etc/sysconfig/network,改动HOSTNAME=hadoop1
在hadoop2上， vi /etc/sysconfig/network,改动HOSTNAME=hadoop2
在hadoop3上， vi /etc/sysconfig/network,改动HOSTNAME=hadoop3

在三台机器上，在/etc/hosts末尾加入
  • 192.168.1.1   hadoop1
  • 192.168.1.2   hadoop2
  • 192.168.1.3   hadoop3

在hadoop1上， 执行 hostname hadoop1
在hadoop2上。 执行 hostname hadoop2
在hadoop3上， 执行 hostname hadoop3

exit重连之后，hostname 就会变成hadoop[1-3],这样做的优点是ssh hadoop2 会自己主动解析连接192.168.1.2。方便以后使用。

这也是短域名实现的方式。


2. 文件夹创建

$mkdir -p /hadoop/hdfs

$mkdir -p /hadoop/tmp

$mkdir -p /hadoop/log

$mkdir -p /usr/java                               ###java安装路径

$mkdir -p /usr/hadoop                             ###hadoop安装路径

$chmod -R 777 /hadoop

能够依据自己的情况确定安装路径。


安装Java

1. 下载JDK，并安装。建议安装JDK 1.7。

本次下载 jdk-7u60-linux-x64.tar.gz

http://www.oracle.com/technetwork/java/javase/downloads/index.html

$tar -zxvf jdk-7u60-linux-x64.tar.gz

$mv jdk1.7.0_60 java





凝视：下载的java 包类型不同。安装略有不同。



2. 配置Java 环境


能够改动/etc/profile,也能够改动自己home文件夹下的~/.profile(ksh)或者~/.bash_profile(bash)，本次安装是bash。所以在.bash_profile 末尾加入



export JAVA_HOME=/usr/java


export CLASSPATH=.:$JAVA_HOME/lib/tools.jar:$JAVA_HOME/lib/dt.jar


export PATH=$JAVA_HOME/bin:$PATH



使环境马上生效。运行




$source .bash_profile





3. 检查Java是否成功安装






$ java -version

java version "1.7.0_60"

Java(TM) SE Runtime Environment (build 1.7.0_60-b19)

Java HotSpot(TM) 64-Bit Server VM (build 24.60-b09, mixed mode)



配置SSH 无password登录




hadoop1 上


$ mkdir .ssh

$ cd .ssh

$ ssh-keygen -t rsa

Generating public/private rsa key pair.

Enter file in which to save the key (/export/home/zilzhang/.ssh/id_rsa):

Enter passphrase (empty for no passphrase):

Enter same passphrase again:

Your identification has been saved in ~/.ssh/id_rsa.

Your public key has been saved in ~/.ssh/id_rsa.pub.

The key fingerprint is:

b0:76:89:6a:44:8b:cd:fc:23:a4:3f:69:55:3f:83:e3 ...

$ ls -lrt

total 2

-rw-------   1     887 Jun 30 02:10 id_rsa

-rw-r--r--   1     232 Jun 30 02:10 id_rsa.pub

$ touch authorized_keys

$ cat id_rsa.pub >> authorized_keys



hadoop2和hadoop3上。相同生成公钥和私钥。


[hadoop2]$ mv id_rsa.pub pub2

[hadoop3]$ mv id_rsa.pub pub3


把pub2,pub3都scp到hadoop1上,然后


$ cat pub2 >> authorized_keys

$ cat pub3 >> authorized_keys


把authorized_keys scp到hadoop2和hadoop3上。这样就能够免password登录了。


一言以蔽之，就是在每台node上生成公钥和私钥，把全部公钥的内容汇总成authorized_keys，并把authorized_keys分发到集群全部node上同样的文件夹，这样每一个node都拥有整个集群node的公钥。互相之间就能够免password登录了。


验证免password登录。在hadoop1上：


$ ssh haoop1

ssh: Could not resolve hostname haoop1: Name or service not known

[zilzhang@hadoop3 hadoop]$ ssh hadoop1

The authenticity of host 'hadoop1 (192.168.1.1)' can't be established.

RSA key fingerprint is 18:85:c6:50:0c:15:36:9c:55:34:d7:ab:0e:1c:c7:0f.

Are you sure you want to continue connecting (yes/no)? yes

Warning: Permanently added 'hadoop1' (RSA) to the list of known hosts.

        #################################################################

        #                                                               #

        #       This system is for the use of authorized users only.    #

        #       Individuals using this computer system without          #

        #       authority, or in excess of their authority, are         #

        #       subject to having all of their activities on this       #

        #       system monitored and recorded by system personnel.      #

        #                                                               #

        #       In the course of monitoring individuals improperly      #

        #       using this system, or in the course of system           #

        #       maintenance, the activities of authorized users         #

        #       may also be monitored.                                  #

        #                                                               #

        #       Anyone using this system expressly consents to such     #

        #       monitoring and is advised that if such monitoring       #

        #       reveals possible evidence of criminal activity,         #

        #       system personnel may provide the evidence of such       #

        #       monitoring to law enforcement officials.                #

        #                                                               #

        #       This system/database contains restricted data.          #

        #                                                               #

        #################################################################

[hadoop1 ~]$


安装Hadoop


1. 下载与解压(全部节点)




$ wget http://mirror.bit.edu.cn/apache/hadoop/common/hadoop-2.2.0/hadoop-2.2.0.tar.gz

$ tar -zxvf hadoop-2.2.0.tar.gz

$ mv hadoop-2.2.0 /usr/hadoop






下面都执行在haoop1上


2. 配置环境变量，在.bash_profile末尾加入






export HADOOP_HOME=/usr/hadoop


export HADOOP_MAPARED_HOME=${HADOOP_HOME}


export HADOOP_COMMON_HOME=${HADOOP_HOME}


export HADOOP_HDFS_HOME=${HADOOP_HOME}


export YARN_HOME=${HADOOP_HOME}


export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop


export HDFS_CONF_DIR=${HADOOP_HOME}/etc/hadoop


export YARN_CONF_DIR=${HADOOP_HOME}/etc/hadoop


export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH







source .bash_profile


3. $HADOOP_HOME/etc/hadoop/hadoop-env.sh,末尾加入


export JAVA_HOME=/usr/java/java







4. $HADOOP_HOME/etc/hadoop/core-site.xml 加入





<property>


 <name>hadoop.tmp.dir</name>


 <value>/hadoop/tmp</value>


 <description>A base for other temporary directories.</description>


</property>


 <property>


 <name>fs.default.name</name>


 <value>hdfs://192.168.1.1:9000</value>


</property>




5. $HADOOP_HOME/etc/hadoop/slaves 内容变为（datanode)


192.168.1.2


192.168.1.3


6. $HADOOP_HOME/etc/hadoop/hdfs-site.xml 加入


<property>


 <name>dfs.replication</name>


 <value>3</value>


</property>


 


<property>


 <name>dfs.namenode.name.dir</name>


 <value>file:/hadoop/hdfs/name</value>


 <final>true</final>


</property>


 


<property>


 <name>dfs.federation.nameservice.id</name>


 <value>ns1</value>


</property>


 


<property>


 <name>dfs.namenode.backup.address.ns1</name>


 <value>192.168.1.1:50100</value>


</property>


 


<property>


 <name>dfs.namenode.backup.http-address.ns1</name>


 <value>192.168.1.1:50105</value>


</property>


 


<property>


 <name>dfs.federation.nameservices</name>


 <value>ns1</value>


</property>


 


<property>


 <name>dfs.namenode.rpc-address.ns1</name>


 <value>192.168.1.1:9000</value>


</property>


<property>


 <name>dfs.namenode.rpc-address.ns2</name>


 <value>192.168.1.1:9000</value>


</property>


 


<property>


 <name>dfs.namenode.http-address.ns1</name>


 <value>192.168.1.1:23001</value>


</property>


 


<property>


 <name>dfs.namenode.http-address.ns2</name>


 <value>192.168.1.1:13001</value>


</property>


 


<property>


 <name>dfs.dataname.data.dir</name>


 <value>file:/hadoop/hdfs/data</value>


 <final>true</final>


</property>


 


<property>


 <name>dfs.namenode.secondary.http-address.ns1</name>


 <value>192.168.1.1:23002</value>


</property>


 


<property>


 <name>dfs.namenode.secondary.http-address.ns2</name>


 <value>192.168.1.1:23002</value>


</property>


 


<property>


 <name>dfs.namenode.secondary.http-address.ns1</name>


 <value>192.168.1.1:23003</value>


</property>


 


<property>


 <name>dfs.namenode.secondary.http-address.ns2</name>


 <value>192.168.1.1:23003</value>


</property>


7. $HADOOP_HOME/etc/hadoop/yarn-site.xml 加入


<property>


 <name>yarn.resourcemanager.address</name>


 <value>192.168.1.1:18040</value>


</property>


 


<property>


 <name>yarn.resourcemanager.scheduler.address</name>


 <value>192.168.1.1:18030</value>


</property>


 


<property>


 <name>yarn.resourcemanager.webapp.address</name>


 <value>192.168.1.1:50030</value>


</property>


 


<property>


 <name>yarn.resourcemanager.resource-tracker.address</name>


 <value>192.168.1.1:18025</value>


</property>


 


<property>


 <name>yarn.resourcemanager.admin.address</name>


 <value>192.168.1.1:18141</value>


</property>


 


<property>


 <name>yarn.nodemanager.aux-services</name>


 <value>mapreduce_shuffle</value>


</property>


<property> 


    <name>yarn.web-proxy.address</name> 


      <value>hadoop1-9014.lvs01.dev.ebayc3.com:54315</value> 


</property>


8. $HADOOP_HOME/etc/hadoop/httpfs-site.xml 加入


<property>


 <name>hadoop.proxyuser.root.hosts</name>


 <value>192.168.1.1</value>


</property>


 <property>


 <name>hadoop.proxyuser.root.groups</name>


 <value>*</value>


</property>


9. $HADOOP_HOME/etc/hadoop/mapred-site.xml 加入(配置job提交到yarn上而且配置history log server)


<property>


   <name>mapreduce.framework.name</name>


   <value>yarn</value>


   <description>Execution framework set to Hadoop YARN.</description>


</property>


<property>


 <name>mapreduce.jobhistory.address</name>


  <value>hadoop1-9014.lvs01.dev.ebayc3.com:10020</value>


</property>


<property>


  <name>mapreduce.jobhistory.webapp.address</name>


  <value>hadoop1-9014.lvs01.dev.ebayc3.com:19888</value>


</property>


<property>


  <name>mapreduce.jobhistory.intermediate-done-dir</name>


  <value>/log/tmp</value>


</property>


<property>


  <name>mapreduce.jobhistory.done-dir</name>


  <value>/log/history</value>


</property>


这个是说明把job放到yarn 上去跑。




10. 配置同步到其它datanode上


$ scp ~/.bash_profile hadoop2:~/.bash_profile

$ scp $HADOOP_HOME/etc/hadoop/hadoop-env.sh hadoop2:$HADOOP_HOME/etc/hadoop/

$ scp $HADOOP_HOME/etc/hadoop/core-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/

$ scp $HADOOP_HOME/etc/hadoop/slaves hadoop2:$HADOOP_HOME/etc/hadoop/

$ scp $HADOOP_HOME/etc/hadoop/hdfs-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/

$ scp $HADOOP_HOME/etc/hadoop/yarn-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/

$ scp $HADOOP_HOME/etc/hadoop/httpfs-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/

$ scp $HADOOP_HOME/etc/hadoop/mapred-site.xml hadoop2:$HADOOP_HOME/etc/hadoop/


把hadoop2改成hadoop3,，把配置同步到hadoop3上


启动Hadoop集群


1. 格式化





hadoop namenode -format







2. 启动hdfs





start-dfs.sh





3. 启动yarn





start-yarn.sh


 


4. 启动history server


 


mr-jobhistory-daemon.sh start historyserver





5. 启动proxy server


 


yarn-daemons.sh start proxyserver





httpfs.sh start




6. 创建日志存放文件夹


hadoop fs -mkdir -p /log/tmp


hadoop fs -mkdir -p /log/history




測试hadoop集群


1. hadoop1,看看进程是否已经开启




$ jps

8606 NameNode

4640 Bootstrap

17007 Jps

16077 ResourceManager

8781 SecondaryNameNode


这些进程必须都有


2. 在hadoop2 上看进程是否开启






$ jps

5992 Jps

5422 NodeManager

3292 DataNode


这些进程必须都有


3. hadoop fs -ls /    看能否够列出文件




4. 測试hadoop job


hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar wordcount /input /output7


假设执行正常，能够在job monitor页面看到job执行状况。


Hadoop Yarn 安装


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总结：在安装过程中会遇到各种问题，这里不一一列示，以免太过啰嗦。



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