从0开始，配置自己的大数据集群环境（五）--hadoop集群安装

正式开始hadoop了。激动ing，。。。

因为在自己的笔记本安装所以，配置所限，使用的是单节点模式，足够学习使用了.

集群规划：

首先，上传编译完成的hadoop包到节点，并解压。

安装nodepade++，可以通过ftp插件远程编辑linux系统文件

开始hadoop配置：

core-site.xml

<property>
<name>fs.default.name</name>
<value>hdfs://node01:8020</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/client/servers/hadoop-2.8.5/hadoopDatas/tempDatas</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>4096</value>
</property>
<property>
<name>fs.trash.interval</name>
<value>10080</value>
</property>

hdfs-site.xml

<property>
<name>dfs.namenode.secondary.http-address</name>
<value>node01:50090</value>
</property>
<property>
<name>dfs.namenode.http-address</name>
<value>node01:50070</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:///opt/client/servers/hadoop-2.8.5/hadoopDatas/namenodeDatas,file:///opt/client/servers/hadoop-2.8.5/hadoopDatas/namenodeDatas2</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:///opt/client/servers/hadoop-2.8.5/hadoopDatas/datanodeDatas,file:///opt/client/servers/hadoop-2.8.5/hadoopDatas/datanodeDatas2</value>
</property>
<property>
<name>dfs.namenode.edits.dir</name>
<value>file:///opt/client/servers/hadoop-2.8.5/hadoopDatas/nn/edits</value>
</property>
<property>
<name>dfs.namenode.checkpoint.dir</name>
<value>file:///opt/client/servers/hadoop-2.8.5/hadoopDatas/snn/name</value>
</property>
<property>
<name>dfs.namenode.checkpoint.edits.dir</name>
<value>file:///opt/client/servers/hadoop-2.8.5/hadoopDatas/dfs/snn/edits</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.blocksize</name>
<value>134217728</value>
</property>

修改hadoop_env.sh的javahome路径为绝对路径

mapred-site.xml

<property>
<name>mapreduce.job.ubertask.enable</name>
<value>true</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>node01:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>node01:19888</value>
</property>

yarn-site.xml

<property>
<name>yarn.resourcemanager.hostname</name>
<value>node01</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>604800</value>
</property>
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>20480</value>
</property>
<property>
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>2048</value>
</property>
<property>
<name>yarn.nodemanager.vmem-pmem-ratio</name>
<value>2.1</value>
</property>

mapred-env.sh.

slaves

node01
node02
node03

将配置中的路径还没有建的补完

mkdir -p /opt/client/servers/hadoop-2.8.5/hadoopDatas/tempDatas
mkdir -p /opt/client/servers/hadoop-2.8.5/hadoopDatas/namenodeDatas
mkdir -p /opt/client/servers/hadoop-2.8.5/hadoopDatas/namenodeDatas2
mkdir -p /opt/client/servers/hadoop-2.8.5/hadoopDatas/datanodeDatas
mkdir -p /opt/client/servers/hadoop-2.8.5/hadoopDatas/datanodeDatas2
mkdir -p /opt/client/servers/hadoop-2.8.5/hadoopDatas/nn/edits
mkdir -p /opt/client/servers/hadoop-2.8.5/hadoopDatas/snn/name
mkdir -p /opt/client/servers/hadoop-2.8.5/hadoopDatas/dfs/snn/edits

第一台机器的配置完成。将文件发送给另外两台

cd /opt/client/servers
scp -r hadoop-2.8.5 node02:$PWD
scp -r hadoop-2.8.5 node03:$PWD

vim /etc/profile

export HADOOP_HOME=/opt/client/servers/hadoop-2.8.5
export PATH=:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

 source /etc/profile

全部配置完成后，开始启动集群：

cd /opt/client/servers/hadoop-2.8.5/

bin/hdfs namenode -format
sbin/start-dfs.sh

sbin/start-yarn.sh

sbin/mr-jobhistory-daemon.sh start historyserver

完成后查看每个节点的进程，都按计划启动了

通过浏览器访问hdfs

文件管理页面

大功告成。