1 Ganglia 的安装与部署
Ganglia 由 gmond、gmetad 和 gweb 三部分组成。gmond（Ganglia Monitoring Daemon）是一种轻量级服务，安装在每台需要收集指标数据的节点主机上。使用 gmond，你可以很容易收集很多系统指标数据，如 CPU、内存、磁盘、网络和活跃进程的数据等。gmetad（Ganglia Meta Daemon）整合所有信息，并将其以 RRD 格式存储至磁盘的服务。gweb（Ganglia Web）Ganglia 可视化工具，gweb 是一种利用浏览器显示 gmetad 所存储数据的 PHP 前端。在 Web 界面中以图表方式展现集群的运行状态下收集的多种不同指标数据。
1.1 安装 ganglia
（1）规划
hadoop102: web gmetad gmod hadoop103: gmod hadoop104: gmod
（2）在 102 103 104 分别安装 epel-release
[atguigu@hadoop102 flume]$ sudo yum -y install epel-release
（3）在 102 安装
[atguigu@hadoop102 flume]$ sudo yum -y install ganglia-gmetad [atguigu@hadoop102 flume]$ sudo yum -y install ganglia-web [atguigu@hadoop102 flume]$ sudo yum -y install ganglia-gmond
（4）在 103 和 104 安装
[atguigu@hadoop102 flume]$ sudo yum -y install ganglia-gmond
2 ）在 102 修改配置文件 /etc/httpd/conf.d/ganglia.conf
[atguigu@hadoop102 flume]$ sudo vim /etc/httpd/conf.d/ganglia.conf
修改为红颜色的配置：
# Ganglia monitoring system php web frontend # Alias /ganglia /usr/share/ganglia <Location /ganglia> # Require local # 通过 windows 访问 ganglia,需要配置 Linux 对应的主机(windows)ip 地址 Require ip 192.168.9.1 # Require ip 10.1.2.3 # Require host example.org </Location>
5 ）在 在 102 修改配置文件 /etc/ganglia/gmetad.conf
[atguigu@hadoop102 flume]$ sudo vim /etc/ganglia/gmetad.conf
修改为：
data_source “my cluster” hadoop102
6 ）在 在 102 103 104 修改配置文件 /etc/ganglia/gmond.conf
[atguigu@hadoop102 flume]$ sudo vim /etc/ganglia/gmond.conf
修改为：
cluster { name = "my cluster" owner = "unspecified" latlong = "unspecified" url = "unspecified" } udp_send_channel { #bind_hostname = yes # Highly recommended, soon to be default. # This option tells gmond to use a source address # that resolves to the machine's hostname. Without # this, the metrics may appear to come from any # interface and the DNS names associated with # those IPs will be used to create the RRDs. # mcast_join = 239.2.11.71 # 数据发送给 hadoop102 host = hadoop102 port = 8649 ttl = 1 } udp_recv_channel { # mcast_join = 239.2.11.71 port = 8649 # 接收来自任意连接的数据 bind = 0.0.0.0 retry_bind = true # Size of the UDP buffer. If you are handling lots of metrics you really # should bump it up to e.g. 10MB or even higher. # buffer = 10485760 }
7 ）在 在 102 修改配置文件 /etc/selinux/config
[atguigu@hadoop102 flume]$ sudo vim /etc/selinux/config
修改为：
# This file controls the state of SELinux on the system. # SELINUX= can take one of these three values: # enforcing - SELinux security policy is enforced. # permissive - SELinux prints warnings instead of enforcing. # disabled - No SELinux policy is loaded. SELINUX=disabled # SELINUXTYPE= can take one of these two values: # targeted - Targeted processes are protected, # mls - Multi Level Security protection. SELINUXTYPE=targeted
尖叫提示：selinux 生效需要重启，如果此时不想重启，可以临时生效之：
[atguigu@hadoop102 flume]$ sudo setenforce 0
8 ） 启动 ganglia
（1）在 102 103 104 启动
[atguigu@hadoop102 flume]$ sudo systemctl start gmond
（2）在 102 启动
[atguigu@hadoop102 flume]$ sudo systemctl start httpd
[atguigu@hadoop102 flume]$ sudo systemctl start gmetad
9 ） 打开网页浏览 a ganglia 页面
http://hadoop102/ganglia
尖叫提示：如果完成以上操作依然出现权限不足错误，请修改/var/lib/ganglia 目录
的权限：
[atguigu@hadoop102 flume]$ sudo chmod -R 777 /var/lib/ganglia
2 操作 Flume 测试监控
2.1 启动 Flume 任务
[atguigu@hadoop102 flume]$ bin/flume-ng agent \ -c conf/ \ -n a1 \ -f job/flume-netcat-logger.conf \ -Dflume.root.logger=INFO,console \ -Dflume.monitoring.type=ganglia \ -Dflume.monitoring.hosts=hadoop102:8649
2.2 发送数据观察 a ganglia 监测图
[atguigu@hadoop102 flume]$ nc localhost 44444
图例说明：
