Flume 数据流监控

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）安装ganglia

（1）规划

hadoop102: gweb、gmetad、gmod
hadoop103: gmod
hadoop104: gmod

（2）在102 103 104分别安装epel-release


[hadoop@hadoop102 flume-1.9.0]$ sudo yum -y install epel-release

（3）在102 安装


[hadoop@hadoop102 flume-1.9.0]$ sudo yum -y install ganglia-gmetad
[hadoop@hadoop102 flume-1.9.0]$ sudo yum -y install ganglia-web
[hadoop@hadoop102 flume-1.9.0]$ sudo yum -y install ganglia-gmond

（4）在103 和 104 安装


[hadoop@hadoop102 flume-1.9.0]$ sudo yum -y install ganglia-gmond

2）在102修改配置文件 /etc/httpd/conf.d/ganglia.conf


[hadoop@hadoop102 flume-1.9.0]$ sudo vim /etc/httpd/conf.d/ganglia.conf

# 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 192.168.119.1  
  # Require ip 10.1.2.3
  # Require host example.org
</Location>

5）在102修改配置文件 /etc/ganglia/gmetad.conf


[hadoop@hadoop102 flume-1.9.0]$ sudo vim /etc/ganglia/gmetad.conf

修改为：

data_source “my cluster” hadoop102

6）在102 103 104修改配置文件 /etc/ganglia/gmond.conf


[hadoop@hadoop102 flume-1.9.0]$ sudo vim /etc/ganglia/gmond.conf 

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102修改配置文件 /etc/selinux/config


[hadoop@hadoop102 flume-1.9.0]$ sudo vim /etc/selinux/config

# 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：


[hadoop@hadoop102 flume-1.9.0]$ sudo setenforce 0

8）启动ganglia

（1）在102 103 104 启动


[hadoop@hadoop102 flume-1.9.0]$ sudo systemctl start gmond

（2）在102 启动


[hadoop@hadoop102 flume-1.9.0]$ sudo systemctl start httpd
[hadoop@hadoop102 flume-1.9.0]$ sudo systemctl start gmetad

9）打开网页浏览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


[hadoop@hadoop102 flume-1.9.0]$ sudo chmod -R 777 /var/lib/ganglia

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