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5760php技巧_大年夜数据监控对象采集Flume数据流监控_Ganglia安装设备

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采集Flume数据流监控_Ganglia

1. Ganglia的安装与支配

1)三台机器安装epel源

5760php技巧_大年夜数据监控对象采集Flume数据流监控_Ganglia安装设备

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

5760php技巧_大年夜数据监控对象采集Flume数据流监控_Ganglia安装设备
(图片来自网络侵删)

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)是一种轻量级做事,安装在每台须要网络指标数据的节点主机上。
利用gmond,你可以很随意马虎网络很多系统指标数据,如CPU、内存、磁盘、网络和生动进程的数据等。

gmetad(Ganglia Meta Daemon)整合所有信息,并将其以RRD格式存储至磁盘的做事。

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界面中以图表办法展现集群的运行状态下网络的多种不同指标数据。

4)修正配置文件/etc/httpd/conf.d/ganglia.conf

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

修正为的配置:

## 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)修正配置文件/etc/ganglia/gmetad.conf

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

修正为:

data_source "hadoop102" hadoop102

6)修正配置文件/etc/ganglia/gmond.conf

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

修正为:

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}

将修正后的文件同步到103,104。

7)修正配置文件/etc/selinux/config

[bigdata@hadoop102 flume]$ sudo vim /etc/selinux/config

修正为:

# 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涌现权限不敷缺点,请修正/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)发送数据不雅观察ganglia监测图

[bigdata@hadoop102 flume]$ nc localhost 44444

样式如图:

图例解释:

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