采集Flume数据流监控_Ganglia

1. Ganglia的安装与部署

1）三台机器安装epel源

[bigdata@hadoop102 flume]$ sudo yum install -y epel-release

2) 在102安装web,meta和monitor

[bigdata@hadoop102 flume]$ sudo yum -y install ganglia-gmetad ganglia-web ganglia-gmond

3) 在103、104安装monitor

[bigdata@hadoop103 flume]$ sudo yum -y install ganglia-gmond

[bigdata@hadoop104 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

[bigdata@hadoop102 flume]$ sudo vim /etc/httpd/conf.d/ganglia.conf

修改为的配置：

#
# Ganglia monitoring system php web frontend
#

Alias /ganglia /usr/share/ganglia

<Location /ganglia>
  #Require local
  Require ip 192.168.5.1
  Require all granted
  # Require ip 10.1.2.3
  # Require host example.org
</Location>

5）修改配置文件/etc/ganglia/gmetad.conf

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

修改为：

data_source "hadoop102" hadoop102

6）修改配置文件/etc/ganglia/gmond.conf

[bigdata@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 = hadoop102
  port = 8649
  ttl = 1
}
udp_recv_channel {
  # mcast_join = 239.2.11.71
  port = 8649
  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
}

将修改后的文件同步到103，104。

7）修改配置文件/etc/selinux/config

[bigdata@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：

[bigdata@hadoop102 flume]$ sudo setenforce 0

8）102启动ganglia三个后台，103，104启动gmond

[bigdata@hadoop102 flume]$ sudo systemctl start httpd

[bigdata@hadoop102 flume]$ sudo systemctl start gmetad

[bigdata@hadoop102 flume]$ sudo systemctl start gmond

[bigdata@hadoop103 flume]$ sudo systemctl start gmond

[bigdata@hadoop104 flume]$ sudo systemctl start gmond

9）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：

[bigdata@hadoop102 flume]$ sudo chmod -R 777 /var/lib/ganglia

3.8.2 操作Flume测试监控

1）启动Flume任务

[bigdata@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=hadoop102:8649

2）发送数据观察ganglia监测图

[bigdata@hadoop102 flume]$ nc localhost 44444

样式如图：

图例说明：

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