Flume 数据流监控

一、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 -y install ganglia-gmond

Ganglia 由 gmond、gmetad 和 gweb 三部分组成。

（1）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。

（2）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。

（3）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

[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
 Order deny,allow
 #Deny from all
 Allow from all
 # Allow from 127.0.0.1
 # Allow from ::1
 # Allow from .example.com

5、修改配置文件/etc/ganglia/gmetad.conf

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

修改内容：

data_source "hadoop102" 192.168.9.102

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 = 192.168.9.102
 port = 8649
 ttl = 1
}
udp_recv_channel {
 # mcast_join = 239.2.11.71
 port = 8649
bind = 192.168.9.102
 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

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

8、启动 ganglia

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

9、打开网页浏览 ganglia 页面

http://192.168.9.102/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

二、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=192.168.9.102:8649
-Xms100m
-Xmx200m"

2、启动 Flume 任务

[atguigu@hadoop102 flume]$ bin/flume-ng agent \
--conf conf/ \
--name a1 \
--conf-file job/flume-netcat-logger.conf \
-Dflume.root.logger==INFO,console \
-Dflume.monitoring.type=ganglia \
-Dflume.monitoring.hosts=192.168.9.102:8649

3、发送数据观察 ganglia 监测图

[atguigu@hadoop102 flume]$ nc localhost 44444

样式如图：

图例说明：