CentOS集群上安装Ganglia-3.6.1监控
1、安装依赖
1、建议使用超级用户安装
yum -y install apr-devel apr-util check-devel cairo-devel pango-devel libxml2-devel \ rpmbuild glib2-devel dbus-devel freetype-devel fontconfig-devel gcc-c++ expat-devel \ python-devel libXrender-devel pcre pcre-devel
2、关闭selinux
#vi /etc/selinux/config
把SELINUX=enforcing改成SELINUX=disable,重启机器。
2、安装expat依赖
#mkdir /home/ganglia
#cd /home/ganglia
#wget http://jaist.dl.sourceforge.net/project/expat/expat/2.1.0/expat-2.1.0.tar.gz
#tar -xf expat-2.1.0.tar.gz
#cd expat-2.1.0
#./configure --prefix=/usr/local/expat
#make
#make install
对于64位操作系统,需要手动的拷贝下动态链接库到lib64下
mkdir /usr/local/expat/lib64
#cp -a /usr/local/expat/lib/* /usr/local/expat/lib64/
3、安装confuse
#cd /home/ganglia
#tar -xf confuse-2.7.tar.gz
#cd confuse-2.7
#./configure CFLAGS=-fPIC --disable-nls --prefix=/usr/local/confuse
#make
#make install
64bit机器需要拷贝动态链接库:
#mkdir -p /usr/local/confuse/lib64
#cp -a -f /usr/local/confuse/lib/* /usr/local/confuse/lib64/
4、安装ganglia
#cd /home/ganglia
#wget http://jaist.dl.sourceforge.net/project/ganglia/ganglia%20monitoring%20core/3.6.1/ganglia-3.6.1.tar.gz
#tar -xf ganglia-3.6.1.tar.gz
#cd ganglia-3.6.1
#./configure --with-gmetad --enable-gexec --with-libconfuse=/usr/local/confuse --with-libexpat=/usr/local/expat --prefix=/usr/local/ganglia --sysconfdir=/etc/ganglia
#make
#make install
5、服务端配置(Gmetad节点)
#mkdir -p /var/lib/ganglia/rrds
#mkdir -p /var/lib/ganglia/dwoo
#chown -R root:root /var/lib/ganglia
配置一个数据源
vi /etc/ganglia/gmetad.conf,修改如下信息:
data_source "Hadoop" 192.168.1.108:8649
setuid_username "root"
说明:这里的 " hadoop " 表示的是集群的名称, 192.168.1.108:8649 是Gmeta服务所在的IP和监听端口。
添加自启动脚本
#cp -f gmetad/gmetad.init /etc/init.d/gmetad
#cp -f /usr/local/ganglia/sbin/gmetad /usr/sbin/gmetad
#chkconfig --add gmetad
启动gmetad服务
#service gmetad start
看见Starting GANGLIA gmetad: [ OK ]就代表运行正常了。通过telnet localhost 8651验证gmetad是否正常
6、客户端配置(gmond节点)
本机安装如下:
#cp -f gmond/gmond.init /etc/init.d/gmond
#cp -f /usr/local/ganglia/sbin/gmond /usr/sbin/gmond
#chkconfig --add gmond
#gmond --default_config > /etc/ganglia/gmond.conf
对于生成的默认配置文件需要做适当的修改
globals { daemonize = yes setuid = yes user = root /*运行Ganglia的用户*/ debug_level = 0 max_udp_msg_len = 1472 mute = no deaf = no host_dmax = 120 /*secs */ cleanup_threshold = 300 /*secs */ gexec = no send_metadata_interval = 15 /*发送数据的时间间隔*/ } cluster { name = "hadoop" /*集群名称*/ owner = "root" /*运行Ganglia的用户*/ latlong = "unspecified" url = "unspecified" } udp_send_channel { # mcast_join = 239.2.11.71 /*注释掉组播*/ host = 192.168.1.108/*发送给安装gmetad的机器的IP*/ port = 8649 ttl = 1 } udp_recv_channel { #接受UDP包配置 # mcast_join = 239.2.11.71 port = 8649 # bind = 239.2.11.71 }
其中name是将要在服务端进行的分组,是服务端的数据源。接下来开启服务
#service gmond start
看见Starting GANGLIA gmetad: [ OK ]代表启动成功。如果有失败,可以讲gmond.conf中的debug从0改为100,看更多的日志,然后进行排查。
7、服务端的WEB配置
1、PHP程序需要依赖Apache来运行,因此需要安装如下依赖
# yum -y install php httpd
# service httpd start //启动httpd 服务
2、下载最新版本的gweb(https://sourceforge.net/projects/ganglia/files/gweb/)本示例当前最新版本为3.6.2
# wget http://jaist.dl.sourceforge.net/project/ganglia/ganglia-web/3.6.2/ganglia-web-3.6.2.tar.gz
# tar -zxvf ganglia-web-3.6.2.tar.gz
# cd ganglia-web-3.6.2
3、编译Makefile
# vim Makefile
可以查看一些用户默认配置:
##########################################################
# User configurables:
##########################################################
# Location where gweb should be installed to (excluding conf, dwoo dirs).
GDESTDIR = /usr/share/ganglia-webfrontend
# Location where default apache configuration should be installed to.
GCONFDIR = /etc/ganglia-web
# Gweb statedir (where conf dir and Dwoo templates dir are stored)
GWEB_STATEDIR = /var/lib/ganglia-web
# Gmetad rootdir (parent location of rrd folder)
GMETAD_ROOTDIR = /var/lib/ganglia
APACHE_USER = www-data
##########################################################
4、修改默认配置:
GDESTDIR = /var/www/html/ganglia
APACHE_USER = apache
注意:GDESTDIR 和 APACHE_USER 要与APACHE的配置文件(/etc/httpd/conf/httpd.conf)中的 DocumentRoot 、 User保持一致
#make install
8、F&Q
1、Ganglia访问失败
There was an error collecting ganglia data (127.0.0.1:8652): fsockopen error: Permission denied
解决办法:
需要关闭selinux:vi /etc/selinux/config,把SELINUX=enforcing改成SELINUX=disable;需要重启机器。可以使用命令setenforce 0来关闭selinux而不需要重启,刷新页面,即可访问。但此方法只是一权宜之计。要想永久修改selinux设置,还是要使用第一种方法。
重启httpd服务器即可看到效果
9、附录:
1、监控Hbadoop和Hbase
Hadoop和 HBase社区一直使用它作为监控集群的业界标准方案。在maste上安装gmetad,在master、node、slave上安装gmond。为了监控Hadoop和HBase,需要对它们做一些配置。这里Hadoop使用的是2.2.0版本,HBase使用的是0.96.0这个版本。这里监控的分布式集群也是文章《Ubuntu和CentOS中分布式配置Hadoop-2.2.0》http://www.linuxidc.com/Linux/2014-01/95799.htm 和《CentOS分布式环境安装HBase-0.96.0》http://www.linuxidc.com/Linux/2014-01/95801.htm 中布置的hadoop和hbase。
为了能让ganglia监控hadoop,Hadoop2.2.0需要配置hadoop-2.2.0/etc/hadoop/目录下的 hadoop-metrics.properties和hadoop-metrics2.properties文件。其中,hadoop- metrics.properties配置如下:
# Configuration of the "dfs" context for null
dfs.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "dfs" context for file
#dfs.class=org.apache.hadoop.metrics.file.FileContext
#dfs.period=10
#dfs.fileName=/tmp/dfsmetrics.log
# Configuration of the "dfs" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# dfs.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# dfs.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# dfs.period=10
# dfs.servers=localhost:8649
# Configuration of the "mapred" context for null
mapred.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "mapred" context for file
#mapred.class=org.apache.hadoop.metrics.file.FileContext
#mapred.period=10
#mapred.fileName=/tmp/mrmetrics.log
# Configuration of the "mapred" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# mapred.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# mapred.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# mapred.period=10
# mapred.servers=localhost:8649
# Configuration of the "jvm" context for null
#jvm.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "jvm" context for file
#jvm.class=org.apache.hadoop.metrics.file.FileContext
#jvm.period=10
#jvm.fileName=/tmp/jvmmetrics.log
# Configuration of the "jvm" context for ganglia
# jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# jvm.period=10
# jvm.servers=localhost:8649
# Configuration of the "rpc" context for null
rpc.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "rpc" context for file
#rpc.class=org.apache.hadoop.metrics.file.FileContext
#rpc.period=10
#rpc.fileName=/tmp/rpcmetrics.log
# Configuration of the "rpc" context for ganglia
# rpc.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# rpc.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# rpc.period=10
# rpc.servers=localhost:8649
# Configuration of the "ugi" context for null
ugi.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "ugi" context for file
#ugi.class=org.apache.hadoop.metrics.file.FileContext
#ugi.period=10
#ugi.fileName=/tmp/ugimetrics.log
# Configuration of the "ugi" context for ganglia
# ugi.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# ugi.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# ugi.period=10
# ugi.servers=localhost:8649
hadoop-metrics2.properties文件配置如下:
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# syntax: [prefix].[source|sink].[instance].[options]
# See javadoc of package-info.java for org.apache.hadoop.metrics2 for details
##############一定要注释掉原来的这块,否则会监控不到#########
#*.sink.file.class=org.apache.hadoop.metrics2.sink.FileSink
# default sampling period, in seconds
#*.period=10
#############################################################
# The namenode-metrics.out will contain metrics from all context
#namenode.sink.file.filename=namenode-metrics.out
# Specifying a special sampling period for namenode:
#namenode.sink.*.period=8
#datanode.sink.file.filename=datanode-metrics.out
# the following example split metrics of different
# context to different sinks (in this case files)
#jobtracker.sink.file_jvm.context=jvm
#jobtracker.sink.file_jvm.filename=jobtracker-jvm-metrics.out
#jobtracker.sink.file_mapred.context=mapred
#jobtracker.sink.file_mapred.filename=jobtracker-mapred-metrics.out
#tasktracker.sink.file.filename=tasktracker-metrics.out
#maptask.sink.file.filename=maptask-metrics.out
#reducetask.sink.file.filename=reducetask-metrics.out
*.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31
*.sink.ganglia.period=10
*.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both
*.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40
namenode.sink.ganglia.servers=master:8649
resourcemanager.sink.ganglia.servers=master:8649
datanode.sink.ganglia.servers=master:8649
nodemanager.sink.ganglia.servers=master:8649
maptask.sink.ganglia.servers=master:8649
reducetask.sink.ganglia.servers=master:8649
为了让ganglia监控hbase,需要配置hbase-0.96.0目录下的conf目录中的hadoop-metrics2-hbase.properties文件。内容如下:
# syntax: [prefix].[source|sink].[instance].[options]
# See javadoc of package-info.java for org.apache.hadoop.metrics2 for details
##############一定要注释掉原来的这块,否则会监控不到#########
#*.sink.file*.class=org.apache.hadoop.metrics2.sink.FileSink
# default sampling period
#*.period=10
#############################################################
# Below are some examples of sinks that could be used
# to monitor different hbase daemons.
# hbase.sink.file-all.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file-all.filename=all.metrics
# hbase.sink.file0.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file0.context=hmaster
# hbase.sink.file0.filename=master.metrics
# hbase.sink.file1.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file1.context=thrift-one
# hbase.sink.file1.filename=thrift-one.metrics
# hbase.sink.file2.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file2.context=thrift-two
# hbase.sink.file2.filename=thrift-one.metrics
# hbase.sink.file3.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file3.context=rest
# hbase.sink.file3.filename=rest.metrics
*.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31
*.sink.ganglia.period=10
hbase.sink.ganglia.period=10
hbase.sink.ganglia.servers=master:8649
2、监控mongoDB
1、rpm -ivh ganglia-gmond-modules-python-3.6.0-1.x86_64.rpm
2、yum -y install python-simplejson
3、检查python模块是否被挂载
gmond -d10
4、在https://github.com/ganglia/gmond_python_modules地址下载mongoDB python插件
将如下两个文件拷贝到对应目录中
cp mongodb.conf /etc/ganglia/conf.d/mongodb.pyconf
cp mongodb.py /usr/lib64/ganglia/python_modules/mongodb.py
5、修改mongodb.pyconf
把value = "mongo --quiet --eval 'printjson(db.serverStatus())'"
和value = "mongo --quiet --eval 'printjson(rs.status())'"
把Value中的mongo替换成该文件的绝对路径,当然你也可以不必修改mongodb.pyconf,保证mongodb/bin在PATH环境变量里就可(mongodb启动不使用27017的还要加-port xxxxx)
6、修改mongodb.py,将import json改成import simplejson as json
7、重启gmond,service gmond restart
8、重启httpd,service httpd restart
3、监控Mysql或mariadb
1、yum install MySQL-python
2、cd /etc/ganlia/conf.d ; mv mysql.pyconf.disabled mysql.pyconf
3、vi mysql.pyconf 编辑用户名和密码
4、重启gmond
5、重启httpd