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一、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。

安装 ganglia

A、规划

hadoop102: web gmetad gmod
hadoop103: gmod
hadoop104: gmod
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B、在 102 103 104 分别安装 epel-release

[fancyry@hadoop102 flume]$ sudo yum -y install epel-release
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C、在 102 安装

[fancyry@hadoop102 flume]$ sudo yum -y install ganglia-gmetad
[fancyry@hadoop102 flume]$ sudo yum -y install ganglia-web
[fancyry@hadoop102 flume]$ sudo yum -y install ganglia-gmond
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D、在 103 和 104 安装

[fancyry@hadoop102 flume]$ sudo yum -y install ganglia-gmond
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E、在 102 修改配置文件/etc/httpd/conf.d/ganglia.conf

[fancyry@hadoop102 flume]$ sudo vim
/etc/httpd/conf.d/ganglia.conf
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# 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>
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F、在 102 修改配置文件 /etc/ganglia/gmetad.conf

[fancyry@hadoop102 flume]$ sudo vim /etc/ganglia/gmetad.conf
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修改为： data_source “my cluster” hadoop102

G、在 102 103 104 修改配置文件 /etc/ganglia/gmond.conf

[fancyry@hadoop102 flume]$ sudo vim /etc/ganglia/gmond.conf
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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
}
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H、在 102 修改配置文件 /etc/selinux/config

[fancyry@hadoop102 flume]$ sudo vim /etc/selinux/config
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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
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提示：selinux 生效需要重启，如果此时不想重启，可以临时生效之：

[fancyry@hadoop102 flume]$ sudo setenforce 0
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I、启动 ganglia

在 102 103 104 启动

[fancyry@hadoop102 flume]$ sudo systemctl start gmond
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J、在 102 启动

[fancyry@hadoop102 flume]$ sudo systemctl start httpd
[fancyry@hadoop102 flume]$ sudo systemctl start gmetad
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K、打开网页浏览 ganglia 页面
http://hadoop102/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：

[fancyry@hadoop102 flume]$ sudo chmod -R 777 /var/lib/ganglia
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二、操作 Flume 测试监控

启动 Flume 任务

[fancyry@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
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发送数据观察 ganglia 监测图

[fancyry@hadoop102 flume]$ nc localhost 44444
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