Flume基础（三）：Flume 监控之 Ganglia

1 Ganglia 的安装与部署

1) 安装 httpd 服务与 php

[atguigu@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

 

[atguigu@hadoop102 flume]$ sudo rpm -Uvh
http://dl.fedoraproject.org/pub/epel/6/x86_64/epel-release-6-8
.noarch.rpm
[atguigu@hadoop102 flume]$ sudo yum -y install ganglia-gmetad 
[atguigu@hadoop102 flume]$ sudo yum -y install ganglia-web
[atguigu@hadoop102 flume]$ sudo yum install -y ganglia-gmond

4) 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>
 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

[atguigu@hadoop102 flume]$ sudo vim /etc/ganglia/gmetad.conf

修改为：

data_source "hadoop102" 192.168.1.102

6) 修改配置文件/etc/ganglia/gmond.conf

[atguigu@hadoop102 flume]$ sudo vim /etc/ganglia/gmond.conf

修改为：

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 = 192.168.1.102
 port = 8649
 ttl = 1
}
udp_recv_channel {
 # mcast_join = 239.2.11.71
 port = 8649
 bind = 192.168.1.102
 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
}

7) 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 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：

[atguigu@hadoop102 flume]$ sudo setenforce 0

5) 启动 ganglia

[atguigu@hadoop102 flume]$ sudo service httpd start
[atguigu@hadoop102 flume]$ sudo service gmetad start
[atguigu@hadoop102 flume]$ sudo service gmond start

6) 打开网页浏览 ganglia 页面

http://192.168.1.102/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

1) 修改/opt/module/flume/conf 目录下的 flume-env.sh 配置：

JAVA_OPTS="-Dflume.monitoring.type=ganglia
-Dflume.monitoring.hosts=192.168.1.102:8649
-Xms100m
-Xmx200m"

2) 启动 Flume 任务

[atguigu@hadoop102 flume]$ bin/flume-ng agent 
--conf conf/ 
--name a1 
--conf-file job/flume-telnet-logger.conf  -Dflume.root.logger==INFO,console  -Dflume.monitoring.type=ganglia  -Dflume.monitoring.hosts=192.168.1.102:8649

3) 发送数据观察 ganglia 监测图

[atguigu@hadoop102 flume]$ telnet localhost 44444

样式如图：