1、Ganglia的安装
（1） 安装 dhttpd 服务与 php
[yasin@hadoop102 flume]$ sudo yum -y install httpd php
（2）安装其他依赖
[atguigu@hadoop102 flume]$ sudo yum -y install rrdtool perl-rrdtool
rrdtool-devel
[atguigu@hadoop102 flume]$ sudo yum -y install apr-devel
（3）安装 ganglia
[yasin@hadoop102 flume]$ sudo rpm -Uvh https://dl.fedoraproject.org/pub/epel/7/x86_64/Packages/e/epel-release-7-13.noarch.rpm
[yasin@hadoop102 flume]$ sudo yum -y install ganglia-gmetad
[yasin@hadoop102 flume]$ sudo yum -y install ganglia-web
[yasin@hadoop102 flume]$ sudo yum -y install ganglia-gmond
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。
（4）修改配置文件 /etc/httpd/conf.d/ganglia.conf
[yasin@hadoop102 flume]$ sudo vim /etc/httpd/conf.d/ganglia.conf
注释掉Deny from all，增加Allow from all：
# Ganglia monitoring system php web frontend
Alias /ganglia /usr/share/ganglia
<Location /ganglia>
Order deny,allow
#Deny from all
Allow from all
# Allow from 127.0.0.1
# Allow from ::1
# Allow from .example.com
</Location>
（5）修改配置文件 /etc/ganglia/gmetad.conf
[yasin@hadoop102 flume]$ sudo vim /etc/ganglia/gmetad.conf
修改内容（其中hadoop102为自己的hadoop名，192.168.10.102为对应ip）：
data_source "hadoop102" 192.168.10.102
（6）修改配置文件 /etc/ganglia/gmond.conf
[yasin@hadoop102 flume]$ sudo vim /etc/ganglia/gmond.conf
修改cluster中name为hadoop102；udp_send_channel中的host为192.168.10.102；dp_recv_channel中bind为：192.168.10.102：
cluster {
name = "hadoop102"
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
host = 192.168.10.102
port = 8649
ttl = 1
}
udp_recv_channel {
# mcast_join = 239.2.11.71
port = 8649
bind = 192.168.10.102
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
}
修改配置文件 /etc/selinux/config
[yasin@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
提示：selinux 本次生效关闭必须重启，如果此时不想重启，可以临时生效之：
[yasin@hadoop102 flume]$ sudo setenforce 0
2、Ganglia服务启动
（1）启动 ganglia
[atguigu@hadoop102 flume]$ sudo service httpd start
[atguigu@hadoop102 flume]$ sudo service gmetad start
[atguigu@hadoop102 flume]$ sudo service gmond start
（2）打开网页浏览 ganglia 页面：http://192.168.10.102/ganglia
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
如果修改权限后仍然提示权限不足参考：ganglia访问时出现"You don’t have permission to access /ganglia/ on this server"
3、测试监控
（1）修改f /opt/module/flume/conf 目录下的 flume-env.sh （从系统模板更名得来）配置，增加：
JAVA_OPTS="-Dflume.monitoring.type=ganglia -Dflume.monitoring.hosts=192.168.10.102:8649 -Xms100m -Xmx200m"
（2） 启动 Flume 任务
[yasin@hadoop102 flume]$ bin/flume-ng agent -c conf/ -f job/netcat-flume-logger.conf -n a1\
-Dflume.root.logger==INFO,console\
-Dflume.monitoring.type=ganglia\
-Dflume.monitoring.hosts=192.168.10.102:8649
其中job（flume下新建的目录）中netcat-flume-logger.conf配置为：
# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1
# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444
# Describe the sink
a1.sinks.k1.type = logger
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1
（3）发送数据观察 aganglia 监测图
[yasin@hadoop102 flume]$ nc localhost 44444
字段含义说明：
