Flume快速入门系列(7) | Flume监控之Ganglia的安装与部署

不温卜火

发布于 2020-10-28 16:04:57

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发布于 2020-10-28 16:04:57

文章被收录于专栏：不温卜火

这篇文章我们讲解的是Flume监控之Ganglia的安装与部署。

1. Ganglia的安装与部署

1. 安装httpd服务与php

[bigdata@hadoop002 flume]$ sudo yum -y install httpd php

2. 安装其他依赖

[bigdata@hadoop002 flume]$ sudo yum -y install rrdtool perl-rrdtool rrdtool-devel
[bigdata@hadoop002 flume]$ sudo yum -y install apr-devel

3. 安装ganglia

[atguigu@hadoop102 flume]$ sudo rpm -Uvh http://dl.fedoraproject.org/pub/epel/6/x86_64/epel-release-6-8.noarch.rpm
[bigdata@hadoop002 flume]$ sudo yum -y install ganglia-gmetad 
[bigdata@hadoop002 flume]$ sudo yum -y install ganglia-web
[bigdata@hadoop002 flume]$ sudo yum install -y ganglia-gmond   // 如果这三个不能下载安装的话修改epel源即可

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@hadoop002 flume]$ sudo vim /etc/httpd/conf.d/ganglia.conf

// 修改成如下的内容
# 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

[bigdata@hadoop002 flume]$ sudo vim /etc/ganglia/gmetad.conf
// 仅修改此处
data_source "hadoop102" 192.168.1.102

6. 修改配置文件/etc/ganglia/gmond.conf

[bigdata@hadoop002 flume]$ sudo vim /etc/ganglia/gmond.conf

// 以下为要修改部分
cluster {
  name = "hadoop002"
  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 = 192.168.2.112
  port = 8649
  ttl = 1
}
udp_recv_channel {
  # mcast_join = 239.2.11.71
  port = 8649
  bind = 192.168.2.112
  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. 修改配置文件/etc/selinux/config

[bigdata@hadoop002 flume]$ sudo vim /etc/selinux/config

8. 启动ganglia

[bigdata@hadoop002 flume]$ sudo service httpd start
[bigdata@hadoop002 flume]$ sudo service gmetad start
[bigdata@hadoop002 flume]$ sudo service gmond start

9. 打开网页浏览ganglia页面

http://192.168.2.112/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：

[bigdata@hadoop002 flume]$ sudo chmod -R 777 /var/lib/ganglia

2. 操作Flume测试监控

1. 修改/opt/module/flume/conf目录下的flume-env.sh配置

JAVA_OPTS="-Dflume.monitoring.type=ganglia
-Dflume.monitoring.hosts=192.168.2.112:8649
-Xms100m
-Xmx200m"

2. 启动Flume任务

[bigdata@hadoop002 flume]$ bin/flume-ng agent -c conf/ -n a1 -f job/flume-netcat-logger.conf -Dflume.root.logger=INFO,console

3. 发送数据观察ganglia监测图

[bigdata@hadoop002 flume]$ nc localhost 44444

图例说明：

字段（图表名称）	字段含义
EventPutAttemptCount	source尝试写入channel的事件总数量
EventPutSuccessCount	成功写入channel且提交的事件总数量
EventTakeAttemptCount	sink尝试从channel拉取事件的总数量。这不意味着每次事件都被返回，因为sink拉取的时候channel可能没有任何数据。
EventTakeSuccessCount	sink成功读取的事件的总数量
StartTime	channel启动的时间（毫秒）
StopTime	channel停止的时间（毫秒）
ChannelSize	目前channel中事件的总数量
ChannelFillPercentage	channel占用百分比
ChannelCapacity	channel的容量