目录
FlumeFlume 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