两个机器 192.168.14.8 和 192.168.14.7
192.168.14.8 上安装 ganglia 服务端 和 客户端
192.168.14.7 上安装 hadoop
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192.168.14.8
系统版本 CentOS Linux release 7.4.1708 (Core)
1.安装 wget
yum -y install wget
2.下载 aliyun epel repo 到/etc/yum.repo.d/
wget -O /etc/yum.repos.d/epel.repo http://mirrors.aliyun.com/repo/epel-7.repo
3.安装 ganglia
yum -y install ganglia-gmond.x86_64 ganglia-gmetad.x86_64 ganglia-web.x86_64
4.修改 httpd 配置，让所有ip都可以访问
vi /etc/httpd/conf.d/ganglia.conf
Alias /ganglia /usr/share/ganglia
# Require local
Require all granted
# Require ip 10.1.2.3
# Require host example.org
5.修改 rrd 数据库权限
chown -R nobody:nobody /var/lib/ganglia/rrds
6.修改 gmetad 服务配置
gridname "HadoopCluster"
setuid_username nobody
data_source "HadoopCluster" 192.168.14.8 192.168.14.7
#data_source "my cluster" localhost
7.修改 gmond 配置
vi /etc/ganglia/gmond.conf
cluster {
name = "HadoopCluster"
}
udp_send_channel {
host = 192.168.14.8
port = 8649
}
udp_recv_channel {
port = 8649
}
8.修改域名映射文件
vi /etc/hosts
192.168.14.8 ganglia
192.168.14.7 hadoop
9.启动服务
systemctl start httpd.service
systemctl start gmetad.service
systemctl start gmond.service
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192.168.14.7
系统版本 CentOS Linux release 7.4.1708 (Core)
软件版本 jdk-8u171，hadoop-2.7.5
1.解压缩 jdk
tar -zxvf jdk-8u171-linux-x64.tar.gz
2.移动到 /opt 目录
mv jdk1.8.0_171/ /opt/jdk
3.解压缩 hadoop
tar -zxvf hadoop-2.7.5.tar.gz
4.移动到 /opt 目录
mv hadoop-2.7.5/ /opt/hadoop
5.编辑环境变量
vi ~/.bashrc
export JAVA_HOME=/opt/jdk
export HADOOP_HOME=/opt/hadoop
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
6.使环境变量生效
source ~/.bashrc
7.新建目录分别用于存放元数据和具体数据
mkdir /opt/namenode
mkdir /opt/datanode
8.编辑配置文件 core-site.xml
vi /opt/hadoop/etc/hadoop/core-site.xml
9.编辑配置文件 hdfs-site.xml
vi /opt/hadoop/etc/hadoop/hdfs-site.xml
10.修改 metrics 文件
vi /opt/hadoop/etc/hadoop/hadoop-metrics2.properties
*.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31
*.sink.ganglia.period=10
*.sink.ganglia.supportsparse=true
*.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both
*.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40
namenode.sink.ganglia.servers=192.168.14.8:8649
11.格式化 namenode
hdfs namenode -format
12.启动守护进程
hadoop-daemon.sh start namenode
hadoop-daemon.sh start datanode