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安装高可用Hadoop生态（三）安装Hadoop

3. 安装Hadoop

3.1. 解压程序

※ 3台服务器分别执行

tar -xf ~/install/hadoop-2.7.3.tar.gz -C/opt/cloud/packages

ln -s /opt/cloud/packages/hadoop-2.7.3 /opt/cloud/bin/hadoop
ln -s /opt/cloud/packages/hadoop-2.7.3/etc/hadoop /opt/cloud/etc/hadoop

mkdir -p /opt/cloud/hdfs/name
mkdir -p /opt/cloud/hdfs/data
mkdir -p /opt/cloud/hdfs/journal
mkdir -p /opt/cloud/hdfs/tmp/java
mkdir -p /opt/cloud/logs/hadoop/yarn

3.2. 设置环境变量

设置JAVA环境变量和Hadoop环境变量

vi ~/.bashrc

增加

export HADOOP_HOME=/opt/cloud/bin/hadoop
export HADOOP_CONF_DIR=/opt/cloud/etc/hadoop
export HADOOP_LOG_DIR=/opt/cloud/logs/hadoop
export HADOOP_PID_DIR=/opt/cloud/hdfs/tmp

export YARN_PID_DIR=/opt/cloud/hdfs/tmp
export HADOOP_OPTS="-Djava.io.tmpdir=/opt/cloud/hdfs/tmp/java"

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

即刻生效

source ~/.bashrc

复制到另外两台服务器

scp ~/.bashrc hadoop2:/home/hadoop
scp ~/.bashrc hadoop3:/home/hadoop

3.3. 修改Hadoop参数

cd ${HADOOP_HOME}/etc/hadoop

修改log4j.properties 、hadoop-env.sh、yarn-env.sh、slaves、core-site.xml、hdfs-site.xml、mapred-site.xml和yarn-site.xml，分发到hadoop2和hadoop2相同的目录下

3.3.1. 修改log配置文件log4j.properties

hadoop.root.logger =INFO,DRFA

hadoop.log.dir=/opt/cloud/logs/hadoop

3.3.2. 修改hadoop-env.sh

hadoop-env.sh设置了Hadoop的一些环境变量，但是直到2.7.3都有bug，不能从系统的环境变量中提取正确的值，需要手工修改，在文件头部

export JAVA_HOME=${JAVA_HOME}

将其注释，手工修改为

export JAVA_HOME="/usr/lib/jvm/java"

在文件中查找#export HADOOP_LOG_DIR，在其下增加

export HADOOP_LOG_DIR=/opt/cloud/logs/hadoop

在文件中查找export HADOOP_PID_DIR=${HADOOP_PID_DIR}

export HADOOP_PID_DIR=/opt/cloud/hdfs/tmp/

设置java的临时目录，查找

export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true "

修改为

export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true -Djava.io.tmpdir=/opt/cloud/hdfs/tmp/java"

3.3.3. 修改yarn-env.sh

查找default log directory，在其后增加一行

export YARN_LOG_DIR=/opt/cloud/logs/hadoop/yarn

3.3.4. 修改slaves

# vi slaves

配置内容：

删除：localhost

添加：

hadoop2
hadoop3

3.3.5. 修改core-site.xml

# vi core-site.xml

配置内容：

<configuration>

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

    <property>
       <name>ha.zookeeper.quorum</name>
       <value>hadoop1:2181,hadoop2:2181,hadoop3:2181</value>
    </property>

    <property>
        <name>hadoop.tmp.dir</name>
        <value>/opt/cloud/hdfs/tmp</value>
    </property>

    <property>
        <name>io.file.buffer.size</name>
        <value>131072</value>
    </property>

    <property>
      <name>hadoop.proxyuser.hadoop.groups</name>
      <value>hadoop</value>
    </property>

    <property>
      <name>hadoop.proxyuser.hadoop.hosts</name>
      <value>hadoop1, hadoop2, hadoop3,127.0.0.1,localhost</value>
    </property>

    <property>
      <name>ipc.client.rpc-timeout.ms</name>[1]
      <value>4000</value>
    </property>

    <property>
      <name>ipc.client.connect.timeout</name>
      <value>4000</value>
    </property>

    <property>
      <name>ipc.client.connect.max.retries</name>
      <value>100</value>
    </property>

    <property>
      <name>ipc.client.connect.retry.interval</name>
      <value>10000</value>
    </property>

</configuration>

3.3.6. 修改hdfs-site.xml

# vi hdfs-site.xml

配置内容：

<configuration>
    <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>hadoop1:9000</value>
    </property>
    <property>
      <name>dfs.namenode.http-address.mycluster.nn1</name>
      <value>hadoop1:50070</value>
    </property>
    <property>
      <name>dfs.namenode.rpc-address.mycluster.nn2</name>
      <value>hadoop2:9000</value>
    </property>
    <property>
      <name>dfs.namenode.http-address.mycluster.nn2</name>
      <value>hadoop2:50070</value>
    </property>
    <property>
      <name>dfs.namenode.shared.edits.dir</name>
      <value>qjournal://hadoop1:8485;hadoop2:8485;hadoop3:8485/mycluster</value>
    </property>
    <property>
      <name>dfs.journalnode.edits.dir</name>
      <value>/opt/cloud/hdfs/journal</value>
    </property>
    <property>
      <name>dfs.ha.automatic-failover.enabled</name>
      <value>true</value>
    </property>
    <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
        shell(/bin/true)
      </value>
    </property>
    <property>
        <name>dfs.ha.fencing.ssh.private-key-files</name>
        <value>/home/hadoop/.ssh/id_rsa</value>
    </property>
    <property>
       <name>dfs.ha.fencing.ssh.connect-timeout</name>
       <value>30000</value>
    </property>

   <property>
        <name>dfs.replication</name>
        <value>2</value>
    </property>
    <property>
        <name>dfs.name.dir</name>
        <value>/opt/cloud/hdfs/name</value>
    </property>
    <property>
        <name>dfs.data.dir</name>
        <value>/opt/cloud/hdfs/data</value>
    </property>
    <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>
    <property>
        <name>dfs.support.append</name>
        <value>true</value>
    </property>
    <property>
        <name>dfs.webhdfs.enabled</name>
        <value>true</value>
    </property>
    <property>
        <name>dfs.client.block.write.replace-datanode-on-failure.enable</name>
        <value>true</value>
    </property>
    <property>
        <name>dfs.client.block.write.replace-datanode-on-failure.policy</name>
        <value>NEVER</value>
    </property>
    <property>
        <name>dfs.datanode.max.xcievers</name>
        <value>8192</value>
    </property>
</configuration>

3.3.7. 修改mapred-site.xml

mv mapred-site.xml.template mapred-site.xml
vi mapred-site.xml

配置内容：

<configuration>
  <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property>
  <property>
     <name>mapreduce.jobhistory.address</name>
     <value>0.0.0.0:10020</value>
  </property>
  <property>
     <name>mapreduce.jobhistory.webapp.address</name>
     <value>0.0.0.0:19888</value>
  </property>
  <property> 
    <name>yarn.app.mapreduce.am.resource.mb</name>
    <value>1024</value>
  </property>
  <property>
    <name>yarn.app.mapreduce.am.command-opts</name>
    <value>-Xmx800m</value>
  </property>
  <property>
     <name>mapreduce.map.memory.mb</name>
     <value>512</value>
  </property>
  <property>
    <name>mapreduce.map.java.opts</name>
    <value>-Xmx400m</value>
  </property>
  <property>
     <name>mapreduce.reduce.memory.mb</name>
     <value>1024</value>
  </property>
  <property>
    <name>mapreduce.reduce.java.opts</name>
    <value>-Xmx800m</value>
  </property>
</configuration>

3.3.8. 修改yarn-site.xml（非HA版）

vi yarn-site.xml

配置内容：

<configuration>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>hadoop1</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
         <name> yarn.nodemanager.aux-services.mapreduce_shuffle.class </name>
         <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property>
</configuration>

3.3.9. 修改yarn-site.xml（HA版）

vi yarn-site.xml

配置内容：

<configuration>  
    <property>  
       <name>yarn.resourcemanager.ha.enabled</name>  
       <value>true</value>  
    </property>  
    <property>  
       <name>yarn.resourcemanager.cluster-id</name>  
       <value>clusteryarn</value>  
    </property>  
    <property>  
       <name>yarn.resourcemanager.ha.rm-ids</name>  
       <value>rm1,rm2</value>  
    </property>  
    <property>  
       <name>yarn.resourcemanager.hostname.rm1</name>  
       <value>hadoop1</value>  
    </property>  
    <property>  
       <name>yarn.resourcemanager.hostname.rm2</name>  
       <value>hadoop2</value>  
    </property>
    <property>
       <name>yarn.log-aggregation-enable</name>
       <value>true</value>
    </property>
    <property>  
       <name>yarn.resourcemanager.zk-address</name>  
       <value>hadoop1:2181,hadoop2:2181,hadoop3:2181</value>  
    </property>
    <property>
       <name>yarn.nodemanager.aux-services</name>  
       <value>mapreduce_shuffle</value>  
    </property>
    <property>
         <name> yarn.nodemanager.aux-services.mapreduce_shuffle.class </name>
         <value>org.apache.hadoop.mapred.ShuffleHandler</value>
    </property>
    <property> 
      <name>yarn.resourcemanager.connect.retry-interval.ms</name>
      <value>5000</value>
    </property>
    <property> 
       <name>yarn.nodemanager.resource.memory-mb</name>
       <value>3072</value>
    </property> 
    <property> 
      <name>yarn.nodemanager.vmem-pmem-ratio</name>
      <value>4</value>
    </property>
    <property>
       <name>yarn.nodemanager.resource.cpu-vcores</name>
       <value>2</value>
    </property>
    <property>
        <name>yarn.scheduler.minimum-allocation-mb</name>
        <value>512</value>
    </property>
    <property>
        <name>yarn.scheduler.maximum-allocation-mb</name>
        <value>2048</value>
    </property>
    <property>
        <name>yarn.scheduler.minimum-allocation-vcores</name>
        <value>1</value>
    </property>
    <property>
        <name>yarn.scheduler.maximum-allocation-vcores</name>
        <value>2</value>
    </property>
</configuration>

3.3.10. 复制到另外2台服务器

配置文件打包为

scp /opt/cloud/bin/hadoop/etc/hadoop/* hadoop2:/opt/cloud/bin/hadoop/etc/hadoop/
scp /opt/cloud/bin/hadoop/etc/hadoop/* hadoop3:/opt/cloud/bin/hadoop/etc/hadoop/

3.4. 首次启动HDFS

启动JournalNode集群:

cexec 'hadoop-daemon.sh start journalnode'

注意只有第一次需要这么启动，之后启动hdfs会包含journalnode。

格式化第1个NameNode:

ssh hadoop1 'hdfs namenode -format -clusterId mycluster'

输出信息的最后部分出现下面两行表示格式化成功

INFO common.Storage: Storage directory /opt/cloud/hdfs/name has been successfully formatted.

...

INFO util.ExitUtil: Exiting with status 0

启动第1个NameNode:

ssh hadoop1 'hadoop-daemon.sh start namenode'

格式化第2个NameNode:

ssh hadoop2 'hdfs namenode -bootstrapStandby'

输出信息的最后部分出现下面两行表示格式化成功

INFO common.Storage: Storage directory /opt/cloud/hdfs/name has been successfully formatted.

...

INFO util.ExitUtil: Exiting with status 0

启动第2个NameNode:

ssh hadoop2 'hadoop-daemon.sh start namenode'

格式化Zk

ssh hadoop1 'hdfs zkfc -formatZK'

信息

INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/mycluster in ZK.

即为格式化成功

启动2个Zkfc

ssh hadoop1 'hadoop-daemon.sh start zkfc'
ssh hadoop2 'hadoop-daemon.sh start zkfc'

启动所有的DataNodes:

ssh hadoop1 'hadoop-daemons.sh start datanode'

用浏览器访问http://hadoop1:50070和http://hadoop2:50070 查看状态

namenode一个是active一个是standby，其中active的网页中QJM三台服务器的Written txid相同。

3.5. 正式启动hdfs和Yarn

在hadoop1上执行

start-dfs.sh
start-yarn.sh

在hadoop2上执行

ssh hadoop2 'yarn-daemon.sh start resourcemanager'

通过jps查看进程

[hadoop@hadoop1 ~]$ cexec jps
************************* cloud *************************
--------- hadoop1---------
1223 QuorumPeerMain
3757 DFSZKFailoverController
4787 Jps
3872 ResourceManager
3365 NameNode
3578 JournalNode
--------- hadoop2---------
1220 QuorumPeerMain
24240 NodeManager
24545 Jps
24022 JournalNode
24139 DFSZKFailoverController
23847 NameNode
23923 DataNode
24419 ResourceManager
--------- hadoop3---------
23764 Jps
23578 NodeManager
23471 JournalNode
23372 DataNode
1224 QuorumPeerMain

在浏览器中下列网址，会看到图形界面的监控程序

http://hadoop1:50070/ dfs的图形界面的监控程序

http://hadoop2:50070/ dfs的图形界面的监控程序，hadoop1和hadoop2其中一个是active，另外一个是standby

http://hadoop1:8088

http://hadoop2:8088 自动跳转到http://hadoop1:8088

3.6. 开机自动运行hdfs

Centos7 采用Systemd作为自启动管理器，有方便设置依赖关系等多个优点，不过，每个服务的环境变量都是初始化的，即“systemd不继承任何上下文环境”，所以服务脚本需要设置必要的所有环境变量，每个变量需要用Environment = name = value的方式设置，好消息Environment可以多行，坏消息是Environment中不支持已经使用已经声明的变量，就是说value中不能有$name,${name}。

3.6.1. journalnode service

vi hadoop-journalnode.service

[Unit]
Description=hadoop journalnode service
After= network.target
[Service]
Type=forking
User=hadoop
Group=hadoop
Environment = JAVA_HOME=/usr/lib/jvm/java
Environment = JRE_HOME=/usr/lib/jvm/java/jre
Environment = CLASSPATH='.:/usr/lib/jvm/java/jre/lib/rt.jar:/usr/lib/jvm/java/lib/dt.jar:$JAVA_HOME/lib/tools.jar'
Environment = HADOOP_HOME=/opt/cloud/bin/hadoop
Environment = HADOOP_CONF_DIR=/opt/cloud/etc/hadoop
Environment = HADOOP_LOG_DIR=/opt/cloud/logs/hadoop
Environment = HADOOP_PID_DIR=/opt/cloud/hdfs/tmp/

ExecStart=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/hadoop-daemon.sh start journalnode'
ExecStop =/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/hadoop-daemon.sh stop journalnode'
[Install]
WantedBy=multi-user.target

3.6.2. namenode service

vi hadoop-namenode.service

[Unit]
Description=hadoop namenode service
After= network.target
[Service]
Type=forking
User=hadoop
Group=hadoop
Environment = JAVA_HOME=/usr/lib/jvm/java
Environment = JRE_HOME=/usr/lib/jvm/java/jre
Environment = CLASSPATH='.:/usr/lib/jvm/java/jre/lib/rt.jar:/usr/lib/jvm/java/lib/dt.jar:$JAVA_HOME/lib/tools.jar'
Environment = HADOOP_HOME=/opt/cloud/bin/hadoop
Environment = HADOOP_CONF_DIR=/opt/cloud/etc/hadoop
Environment = HADOOP_LOG_DIR=/opt/cloud/logs/hadoop
Environment = HADOOP_PID_DIR=/opt/cloud/hdfs/tmp/

ExecStart=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/hadoop-daemon.sh start namenode'
ExecStop=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/hadoop-daemon.sh stop namenode'
[Install]
WantedBy=multi-user.target

3.6.3. datanode service

vi hadoop-datanode.service

[Unit]
Description=hadoop datanode service
After= network.target
[Service]
Type=forking
User=hadoop
Group=hadoop
Environment = JAVA_HOME=/usr/lib/jvm/java
Environment = JRE_HOME=/usr/lib/jvm/java/jre
Environment = CLASSPATH='.:/usr/lib/jvm/java/jre/lib/rt.jar:/usr/lib/jvm/java/lib/dt.jar:$JAVA_HOME/lib/tools.jar'
Environment = HADOOP_HOME=/opt/cloud/bin/hadoop
Environment = HADOOP_CONF_DIR=/opt/cloud/etc/hadoop
Environment = HADOOP_LOG_DIR=/opt/cloud/logs/hadoop
Environment = HADOOP_PID_DIR=/opt/cloud/hdfs/tmp/

ExecStart=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/hadoop-daemon.sh start datanode'
ExecStop =/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/hadoop-daemon.sh stop datanode'
[Install]
WantedBy=multi-user.target

3.6.4. zkfc service

vi hadoop-zkfc.service

[Unit]
Description=hadoop zkfc service
After= network.target
[Service]
Type=forking
User=hadoop
Group=hadoop
Environment = JAVA_HOME=/usr/lib/jvm/java
Environment = JRE_HOME=/usr/lib/jvm/java/jre
Environment = CLASSPATH='.:/usr/lib/jvm/java/jre/lib/rt.jar:/usr/lib/jvm/java/lib/dt.jar:$JAVA_HOME/lib/tools.jar'
Environment = HADOOP_HOME=/opt/cloud/bin/hadoop
Environment = HADOOP_CONF_DIR=/opt/cloud/etc/hadoop
Environment = HADOOP_LOG_DIR=/opt/cloud/logs/hadoop
Environment = HADOOP_PID_DIR=/opt/cloud/hdfs/tmp/

ExecStart=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/hadoop-daemon.sh start zkfc'
ExecStop=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/hadoop-daemon.sh stop zkfc'
[Install]
WantedBy=multi-user.target

3.6.5. yarn resource manager service

vi yarn-rm.service

[Unit]
Description=yarn resource manager service
After= network.target
[Service]
Type=forking
User=hadoop
Group=hadoop
Environment = JAVA_HOME=/usr/lib/jvm/java
Environment = JRE_HOME=/usr/lib/jvm/java/jre
Environment = CLASSPATH='.:/usr/lib/jvm/java/jre/lib/rt.jar:/usr/lib/jvm/java/lib/dt.jar:$JAVA_HOME/lib/tools.jar'
Environment = HADOOP_HOME=/opt/cloud/bin/hadoop
Environment = HADOOP_CONF_DIR=/opt/cloud/etc/hadoop
Environment = HADOOP_LOG_DIR=/opt/cloud/logs/hadoop
Environment = HADOOP_PID_DIR=/opt/cloud/hdfs/tmp/

ExecStart=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/yarn-daemon.sh start resourcemanager'
ExecStop=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/yarn-daemon.sh stop resourcemanager'
[Install]
WantedBy=multi-user.target

3.6.6. yarn nodemanager service

vi yarn-nm.service

[Unit]
Description=yarn node manager service
After= network.target
[Service]
Type=forking
User=hadoop
Group=hadoop
Environment = JAVA_HOME=/usr/lib/jvm/java
Environment = JRE_HOME=/usr/lib/jvm/java/jre
Environment = CLASSPATH='.:/usr/lib/jvm/java/jre/lib/rt.jar:/usr/lib/jvm/java/lib/dt.jar:$JAVA_HOME/lib/tools.jar'
Environment = HADOOP_HOME=/opt/cloud/bin/hadoop
Environment = HADOOP_CONF_DIR=/opt/cloud/etc/hadoop
Environment = HADOOP_LOG_DIR=/opt/cloud/logs/hadoop
Environment = HADOOP_PID_DIR=/opt/cloud/hdfs/tmp/

ExecStart=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/yarn-daemon.sh start nodemanager'
ExecStop=/usr/bin/sh -c '/opt/cloud/bin/hadoop/sbin/yarn-daemon.sh stop nodemanager'
[Install]
WantedBy=multi-user.target

3.6.7. 测试和设置为自动启动服务

编写6种服务的启动脚本，分别复制到对应服务的/etc/systemd/system目录

hadoop2 (6种服务)

systemctl start hadoop-journalnode
systemctl start hadoop-namenode
systemctl start hadoop-datanode
systemctl start hadoop-zkfc
systemctl start yarn-rm
systemctl start yarn-nm

测试通过后

systemctl enable hadoop-journalnode
systemctl enable hadoop-namenode
systemctl enable hadoop-datanode
systemctl enable hadoop-zkfc
systemctl enable yarn-rm
systemctl enable yarn-nm

hadoop1 (4种服务)

systemctl enable hadoop-journalnode
systemctl enable hadoop-namenode
systemctl enable hadoop-zkfc
systemctl enable yarn-rm

hadoop3 (3种服务)

systemctl enable hadoop-journalnode
systemctl enable hadoop-datanode
systemctl enable yarn-nm

重新启动3台服务器，运行 cexec jps 查看系统状态

3.7. 卸载

停止yarn,停止DFS：

ssh hadoop1 'stop-yarn.sh'
ssh hadoop2 'yarn-daemon.sh stop resourcemanager'
ssh hadoop1 'stop-dfs.sh'

cexec jps 不再看到hdfs和yarn的进程

停止并删除系统服务

hadoop2 (6种服务)

systemctl disable hadoop-journalnode
systemctl disable hadoop-namenode
systemctl disable hadoop-datanode
systemctl disable hadoop-zkfc
systemctl disable yarn-rm
systemctl disable yarn-nm

hadoop1 (4种服务)

systemctl disable hadoop-journalnode
systemctl disable hadoop-namenode
systemctl disable hadoop-zkfc
systemctl disable yarn-rm

hadoop3 (3种服务)

systemctl disable hadoop-journalnode
systemctl disable hadoop-datanode
systemctl disable yarn-nm

rm /opt/cloud/hdfs -rf
rm /opt/cloud/logs/hadoop -rf

rm /opt/cloud/bin/hadoop -rf
rm /opt/cloud/etc/hadoop -rf
rm /opt/cloud/packages/hadoop-2.7.3 -rf

复原环境变量

vi ~/.bashrc

删除hadoop相关行

[1] 重要的参数，设置hadoop服务之间通讯超时，尤其是nodemanager和resoucemanager之间的ha机制

[2] 适应虚拟机4G内存，各项值都较低

[3] 与yarn的高可用有关，属于nodemanager连接失败后的策略参数

[4] 虚拟机仅4G内存2个核，这些资源参数也偏小

[5] 内存不足，虚拟内存比由2.1改为4

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SharePoint Portal Server 2003 中的单一登录 zt
vs2008 开发 MOSS 顺序工作流
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状态机工作流的 SpecialPermissions

原文地址：https://www.cnblogs.com/fanzhenyong/p/6188845.html

安装高可用Hadoop生态 （三） 安装Hadoop

3. 安装Hadoop

3.1. 解压程序

3.2. 设置环境变量

3.3. 修改Hadoop参数

3.3.1. 修改log配置文件log4j.properties

3.3.2. 修改hadoop-env.sh

3.3.3. 修改yarn-env.sh

3.3.4. 修改slaves

3.3.5. 修改core-site.xml

3.4. 首次启动HDFS

3.5. 正式启动hdfs和Yarn

3.6. 开机自动运行hdfs

3.6.1. journalnode service

3.6.2. namenode service

3.6.3. datanode service

3.6.4. zkfc service

3.6.5. yarn resource manager service

3.6.6. yarn nodemanager service

3.6.7. 测试和设置为自动启动服务

3.7. 卸载

安装高可用Hadoop生态（三）安装Hadoop