Flume 数据流监控——Ganglia的安装与部署

柔情只为你懂 2022-09-11 05:17 211阅读 0赞

## 1、Ganglia的安装 ##

（1） 安装 dhttpd 服务与 php

[yasin@hadoop102 flume]$ sudo yum -y install httpd php

（2）安装其他依赖

[atguigu@hadoop102 flume]$ sudo yum -y install rrdtool perl-rrdtool
    rrdtool-devel
    [atguigu@hadoop102 flume]$ sudo yum -y install apr-devel

（3）安装 ganglia

[yasin@hadoop102  flume]$ sudo rpm -Uvh https://dl.fedoraproject.org/pub/epel/7/x86_64/Packages/e/epel-release-7-13.noarch.rpm
    [yasin@hadoop102 flume]$ sudo yum -y install ganglia-gmetad
    [yasin@hadoop102 flume]$ sudo yum -y install ganglia-web
    [yasin@hadoop102 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

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

注释掉Deny from all，增加Allow from all：

# Ganglia monitoring system php web frontend
    Alias /ganglia /usr/share/ganglia
    <Location /ganglia>
    Order deny,allow
    #Deny from all
    Allow from all
    # Allow from 127.0.0.1
    # Allow from ::1
    # Allow from .example.com
    </Location>

（5）修改配置文件 /etc/ganglia/gmetad.conf

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

修改内容（其中*hadoop102为自己的hadoop名，192.168.10.102为对应ip*）：

data_source "hadoop102" 192.168.10.102

（6）修改配置文件 /etc/ganglia/gmond.conf

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

修改cluster中name为hadoop102；udp\_send\_channel中的host为192.168.10.102；dp\_recv\_channel中bind为：192.168.10.102：

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 = 192.168.10.102
    	port = 8649
    	ttl = 1
    }
    udp_recv_channel { 
    	# mcast_join = 239.2.11.71
    	port = 8649
    	bind = 192.168.10.102
    	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
    }

修改配置文件 /etc/selinux/config

[yasin@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

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：

[yasin@hadoop102 flume]$ sudo setenforce 0

## 2、Ganglia服务启动 ##

（1）启动 ganglia

[atguigu@hadoop102 flume]$ sudo service httpd start
    [atguigu@hadoop102 flume]$ sudo service gmetad start
    [atguigu@hadoop102 flume]$ sudo service gmond start

（2）打开网页浏览 ganglia 页面：http://192.168.10.102/ganglia

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  
如果修改权限后仍然提示权限不足参考：[ganglia访问时出现"You don’t have permission to access /ganglia/ on this server"][ganglia_You don_t have permission to access _ganglia_ on this server]

## 3、测试监控 ##

（1）修改f /opt/module/flume/conf 目录下的 flume-env.sh （从系统模板更名得来）配置，增加：

JAVA_OPTS="-Dflume.monitoring.type=ganglia -Dflume.monitoring.hosts=192.168.10.102:8649 -Xms100m -Xmx200m"

（2） 启动 Flume 任务

[yasin@hadoop102 flume]$ bin/flume-ng agent -c conf/ -f job/netcat-flume-logger.conf -n a1\
    -Dflume.root.logger==INFO,console\
    -Dflume.monitoring.type=ganglia\
    -Dflume.monitoring.hosts=192.168.10.102:8649

其中job（flume下新建的目录）中netcat-flume-logger.conf配置为：

# Name the components on this agent
    a1.sources = r1
    a1.sinks = k1
    a1.channels = c1
    
    # Describe/configure the source
    a1.sources.r1.type = netcat
    a1.sources.r1.bind = localhost
    a1.sources.r1.port = 44444
    
    # Describe the sink
    a1.sinks.k1.type = logger
    
    # Use a channel which buffers events in memory
    a1.channels.c1.type = memory
    a1.channels.c1.capacity = 1000
    a1.channels.c1.transactionCapacity = 100
    
    # Bind the source and sink to the channel
    a1.sources.r1.channels = c1
    a1.sinks.k1.channel = c1

（3）发送数据观察 aganglia 监测图

[yasin@hadoop102 flume]$ nc localhost 44444

![watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5Y2X5rSyLg_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center][]

字段含义说明：

![watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5Y2X5rSyLg_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 1][]

[ganglia_You don_t have permission to access _ganglia_ on this server]: https://www.cnblogs.com/cosmos-wong/p/11980500.html
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5Y2X5rSyLg_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center]: /images/20220828/8fc1d1a048f04172b66116a72f4de00a.png
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA5Y2X5rSyLg_size_20_color_FFFFFF_t_70_g_se_x_16_pic_center 1]: /images/20220828/a95287b2aa9b49edbd31668e69a3b644.png