大数据Flume数据流监控

• 1 Ganglia 的安装与部署
• • 1.1 安装 ganglia
• 2 操作 Flume 测试监控
• • 2.1 启动 Flume 任务
  • 2.2 发送数据观察 a ganglia 监测图

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）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

# 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

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

[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

[atguigu@hadoop102 flume]$ nc localhost 44444

图例说明：