预计该博文篇幅较长，这里不再废话，对ganglia不太了解的去问谷老师，直接看环境：
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hadoop1.updb.com 192.168.0.101
hadoop2.updb.com 192.168.0.102
hadoop3.updb.com 192.168.0.103
hadoop4.updb.com 192.168.0.104
hadoop5.updb.com 192.168.0.105
操作系统：centos 6.5 x86_64，使用自带网络yum源，同时配置epel扩展源。
在安装ganglia之前，确保你的hadoop及hbase已经安装成功，看我的安装规划：
hadoop1.updb.com NameNode|HMaster|gmetad|gmond|ganglia-web|nagios
hadoop2.updb.com DataNode|Regionserver|gmond|nrpe
hadoop3.updb.com DataNode|Regionserver|gmond|nrpe
hadoop4.updb.com DataNode|Regionserver|gmond|nrpe
hadoop5.updb.com DataNode|Regionserver|gmond|nrpe
hadoop1作为ganglia和nagios的主控端，安装的软件为ganglia的服务端gmetad、由于要监控自身节点，所以还需要安装ganglia的客户端gmond以及ganglia的web应用ganglia-web和nagios服务端；hadoop2、hadoop3、hadoop4、hadoop5作为被控端，安装的软件有ganglia的客户端gmond以及nagios的客户端nrpe。注意这里的nrpe不是一定要安装的，这里是因为我要监控hadoop2、hadoop3、hadoop4、hadoop5节点上的MySQL及其他一些服务，所以选择安装nrpe。
1、hadoop1安装ganglia的gmetad、gmond及ganglia-web
首先安装ganglia所需要的依赖包
[root@hadoop1 ~]# cat ganglia.rpm
apr-devel
apr-util
check-devel
cairo-devel
pango-devel
libxml2-devel
glib2-devel
dbus-devel
freetype-devel
fontconfig-devel
gcc-c++
expat-devel
python-devel
libXrender-devel
zlib
libart_lgpl
libpng
dejavu-lgc-sans-mono-fonts
dejavu-sans-mono-fonts
perl-ExtUtils-CBuilder
perl-ExtUtils-MakeMaker
[root@hadoop1 ~]# yum install -y `cat ganglia.rpm`
除了上面的依赖，还需要安装confuse-2.7.tar.gz、rrdtool-1.4.8.tar.gz两个软件
## 解压软件
[root@hadoop1 pub]# tar xf rrdtool-1.4.8.tar.gz -C /opt/soft/
[root@hadoop1 pub]# tar xf confuse-2.7.tar.gz -C /opt/soft/
## 安装rrdtool
[root@hadoop1 rrdtool-1.4.8]# ./configure -prefix=/usr/local/rrdtool
[root@hadoop1 rrdtool-1.4.8]# make && make install
[root@hadoop1 rrdtool-1.4.8]# mkdir /usr/local/rrdtool/lib64
[root@hadoop1 rrdtool-1.4.8]# cp /usr/local/rrdtool/lib/* /usr/local/rrdtool/lib64/ -rf
[root@hadoop1 rrdtool-1.4.8]# cp /usr/local/rrdtool/lib/librrd.so /usr/lib/
[root@hadoop1 rrdtool-1.4.8]# cp /usr/local/rrdtool/lib/librrd.so /usr/lib64/
## 安装confuse
[root@hadoop1 rrdtool-1.4.8]# cd ../confuse-2.7/
[root@hadoop1 confuse-2.7]# ./configure CFLAGS=-fPIC --disable-nls --prefix=/usr/local/confuse
[root@hadoop1 confuse-2.7]# make && make install
[root@hadoop1 confuse-2.7]# mkdir /usr/local/confuse/lib64
[root@hadoop1 confuse-2.7]# cp /usr/local/confuse/lib/* /usr/local/confuse/lib64/ -rf
ok，准备工作做好之后，开始安装ganglia软件中的gmetad和gmond
## 解压软件
[root@hadoop1 pub]# tar xf ganglia-3.6.0.tar.gz -C /opt/soft/
[root@hadoop1 pub]# cd /opt/soft/ganglia-3.6.0/
## 安装gmetad
[root@hadoop1 ganglia-3.6.0]# ./configure --prefix=/usr/local/ganglia --with-librrd=/usr/local/rrdtool
--with-libconfuse=/usr/local/confuse --with-gmetad --with-libpcre=no --enable-gexec --enable-status
--sysconfdir=/etc/ganglia
[root@hadoop1 ganglia-3.6.0]# make && make install
[root@hadoop1 ganglia-3.6.0]# cp gmetad/gmetad.init /etc/init.d/gmetad
[root@hadoop1 ganglia-3.6.0]# cp /usr/local/ganglia/sbin/gmetad /usr/sbin/
[root@hadoop1 ganglia-3.6.0]# chkconfig --add gmetad
## 安装gmond
[root@hadoop1 ganglia-3.6.0]# cp gmond/gmond.init /etc/init.d/gmond
[root@hadoop1 ganglia-3.6.0]# cp /usr//local/ganglia/sbin/gmond /usr/sbin/
[root@hadoop1 ganglia-3.6.0]# gmond --default_config>/etc/ganglia/gmond.conf
[root@hadoop1 ganglia-3.6.0]# chkconfig --add gmond
至此，hadoop1上的gmetad、gmond安装成功，接着安装ganglia-web，首先要安装php和httpd
yum install php httpd -y
修改httpd的配置文件/etc/httpd/conf/httpd.conf，只把监听端口改为8080
Listen 8080
安装ganglia-web
[root@hadoop1 pub]# tar xf ganglia-web-3.6.2.tar.gz -C /opt/soft/
[root@hadoop1 pub]# cd /opt/soft/
[root@hadoop1 soft]# mv ganglia-web-3.6.2/ /var/www/html/ganglia
[root@hadoop1 soft]# chmod 777 /var/www/html/ganglia -R
[root@hadoop1 soft]# cd /var/www/html/ganglia
[root@hadoop1 ganglia]# useradd www-data
[root@hadoop1 ganglia]# make install
[root@hadoop1 ganglia]# chmod 777 /var/lib/ganglia-web/dwoo/cache/
[root@hadoop1 ganglia]# chmod 777 /var/lib/ganglia-web/dwoo/compiled/
至此ganglia-web安装完成，修改conf_default.php修改文件，指定ganglia-web的目录及rrds的数据目录，修改如下两行：
36 # Where gmetad stores the rrd archives.
37 $conf['gmetad_root'] = "/var/www/html/ganglia"; ## 改为web程序的安装目录
38 $conf['rrds'] = "/var/lib/ganglia/rrds"; ## 指定rrd数据存放的路径
创建rrd数据存放目录并授权
[root@hadoop1 ganglia]# mkdir /var/lib/ganglia/rrds -p
[root@hadoop1 ganglia]# chown nobody:nobody /var/lib/ganglia/rrds/ -R
到这里，hadoop1上的ganglia的所有安装工作就完成了，接下来就是要在hadoop2、hadoop3、hadoop4、hadoop5上安装ganglia的gmond客户端。
2、在hadoop2、hadoop3、hadoop4、hadoop5上安装gmond
首先还是需要安装依赖，参照hadoop1中的前两步来安装所需依赖
ok，准备工作做好之后，开始安装gmond,4个节点的操作是一样的，这里以hadoop2为例
## 解压软件
[root@hadoop2 pub]# tar xf ganglia-3.6.0.tar.gz -C /opt/soft/
[root@hadoop2 pub]# cd /opt/soft/ganglia-3.6.0/
## 安装gmond，注意这里的编译和gmetad相比少了--with-gmetad
[root@hadoop2 ganglia-3.6.0]# ./configure --prefix=/usr/local/ganglia --with-librrd=/usr/local/rrdtool
--with-libconfuse=/usr/local/confuse --with-libpcre=no --enable-gexec --enable-status
--sysconfdir=/etc/ganglia
[root@hadoop2 ganglia-3.6.0]# make && make install
[root@hadoop2 ganglia-3.6.0]# cp gmond/gmond.init /etc/init.d/gmond
[root@hadoop2 ganglia-3.6.0]# cp /usr//local/ganglia/sbin/gmond /usr/sbin/
[root@hadoop2 ganglia-3.6.0]# gmond --default_config>/etc/ganglia/gmond.conf
[root@hadoop2 ganglia-3.6.0]# chkconfig --add gmond
到这里hadoop2上的gmond已经安装成功，hadoop3、hadoop4、hadoop5依次安装成功。
3、配置ganglia，分为服务端和客户端的配置，服务端的配置文件为gmetad.conf,客户端的配置文件为gmond.conf
首先配置hadoop1上的gmetad.conf
[root@hadoop1 ~]# vi /etc/ganglia/gmetad.conf
## 定义数据源的名字及监听地址，gmond会将收集的数据发送到数据源监听机器上的rrd数据目录中
data_source "hadoop cluster" 192.168.0.101:8649
gmetad.conf的配置相当的简单，注意gmetad.conf只有hadoop1上有，因此只在hadoop1上配置。接着配置hadoop1上的gmond.conf
[root@hadoop1 ~]# head -n 80 /etc/ganglia/gmond.conf
/* This configuration is as close to 2.5.x default behavior as possible
The values closely match ./gmond/metric.h definitions in 2.5.x */
globals {
daemonize = yes ## 以守护进程运行
setuid = yes
user = nobody ## 运行gmond的用户
debug_level = 0 ## 改为1会在启动时打印debug信息
max_udp_msg_len = 1472
mute = no ## 哑巴，本节点将不会再广播任何自己收集到的数据到网络上
deaf = no ## 聋子，本节点将不再接收任何其他节点广播的数据包
allow_extra_data = yes
host_dmax = 86400 /*secs. Expires (removes from web interface) hosts in 1 day */
host_tmax = 20 /*secs */
cleanup_threshold = 300 /*secs */
gexec = no
# By default gmond will use reverse DNS resolution when displaying your hostname
# Uncommeting following value will override that value.
# override_hostname = "mywebserver.domain.com"
# If you are not using multicast this value should be set to something other than 0.
# Otherwise if you restart aggregator gmond you will get empty graphs. 60 seconds is reasonable
send_metadata_interval = 0 /*secs */
}
/*
* The cluster attributes specified will be used as part of the
* tag that will wrap all hosts collected by this instance.
*/
cluster {
name = "hadoop cluster" ## 指定集群的名字
owner = "nobody" ## 集群的所有者
latlong = "unspecified"
url = "unspecified"
}
/* The host section describes attributes of the host, like the location */
host {
location = "unspecified"
}
/* Feel free to specify as many udp_send_channels as you like. Gmond
used to only support having a single channel */
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 ## 单播模式要注释调这行
host = 192.168.0.101 ## 单播模式，指定接受数据的主机
port = 8649 ## 监听端口
ttl = 1
}
/* You can specify as many udp_recv_channels as you like as well. */
udp_recv_channel {
#mcast_join = 239.2.11.71 ## 单播模式要注释调这行
port = 8649
#bind = 239.2.11.71 ## 单播模式要注释调这行
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
}
/* You can specify as many tcp_accept_channels as you like to share
an xml description of the state of the cluster */
tcp_accept_channel {
port = 8649
# If you want to gzip XML output
gzip_output = no
}
/* Channel to receive sFlow datagrams */
#udp_recv_channel {
# port = 6343
#}
/* Optional sFlow settings */ 好了，hadoop1上的gmetad.conf和gmond.conf配置文件已经修改完成，这时，直接将hadoop1上的gmond.conf文件scp到hadoop2、hadoop3、hadoop4、hadoop5上相同的路径下覆盖原来的gmond.conf即可。
4、启动服务
启动hadoop1、hadoop2、hadoop3、hadoop4、hadoop5上的gmond服务
/etc/init.d/gmond start
启动hadoop1上的httpd服务和gmetad服务
/etc/init.d/gmetad start
/etc/init.d/httpd start
5、在浏览器中访问192.168.0.101:8080/ganglia,就会出现下面的页面
但此时，ganglia只是监控了各主机基本的性能，并没有监控到hadoop和hbase，接下来需要配置hadoop和hbase的配置文件，这里以hadoop1上的配置文件为例，其他节点对应的配置文件应从hadoop1上拷贝，首先需要修改的是hadoop配置目录下的hadoop-metrics2.properties
[root@hadoop1 ~]# cd /opt/hadoop-2.4.1/etc/hadoop/
[root@hadoop1 hadoop]# cat hadoop-metrics2.properties
#
# 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
#*.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.supportsparse=true
*.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=192.168.0.101:8649
datanode.sink.ganglia.servers=192.168.0.101:8649
resourcemanager.sink.ganglia.servers=192.168.0.101:8649
secondarynamenode.sink.ganglia.servers=192.168.0.101:8649
nodemanager.sink.ganglia.servers=192.168.0.101:8649
接着需要修改hbase配置目录下的hadoop-metrics2-hbase.properties
[root@hadoop1 hadoop]# cd /opt/hbase-0.98.4-hadoop2/conf/
[root@hadoop1 conf]# cat hadoop-metrics2-hbase.properties
# syntax: [prefix].[source|sink].[instance].[options]
# See javadoc of package-info.java for org.apache.hadoop.metrics2 for details
#*.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=192.168.0.101:8649
将hadoop1上的这两个文件，scp到hadoop2~5这4个节点上相同的路径下，覆盖原来的文件，然后重启hadoop、hbase，这时ganglia就能够监控到hadoop和hbase了，如下如
到这里位置ganglia已经完全安装配置完成了，且已经成功的监控到了hadoop和hbase。
接下来，安装nagios，在hadoop1上安装nagios服务端、在hadoop2、hadoop3、hadoop4、hadoop5上安装客户端nrpe。
首先在hadoop1上安装nagios、及相关插件
yum install nagios nagios-plugins nagios-plugins-all nagios-plugins-nrpe -y
设置nagios web界面的登录口令
[root@hadoop1 ~]# cat /etc/httpd/conf.d/nagios.conf
# SAMPLE CONFIG SNIPPETS FOR APACHE WEB SERVER
# Last Modified: 11-26-2005
#
# This file contains examples of entries that need
# to be incorporated into your Apache web server
# configuration file. Customize the paths, etc. as
# needed to fit your system.
ScriptAlias /nagios/cgi-bin/ "/usr/lib64/nagios/cgi-bin/"
# SSLRequireSSL
Options ExecCGI
AllowOverride None
Order allow,deny
Allow from all
# Order deny,allow
# Deny from all
# Allow from 127.0.0.1
## 这里的用户名必须是nagiosadmin
AuthName "nagiosadmin"
AuthType Basic
## 这里指定密码文件的路径
AuthUserFile /etc/nagios/htpasswd.users
Require valid-user
Alias /nagios "/usr/share/nagios/html"
# SSLRequireSSL
Options None
AllowOverride None
Order allow,deny
Allow from all
# Order deny,allow
# Deny from all
# Allow from 127.0.0.1
## 这里的用户名必须是nagiosadmin
AuthName "nagiosadmin"
AuthType Basic
## 这里指定密码文件的路径
AuthUserFile /etc/nagios/htpasswd.users
Require valid-user
保存，退出，生成密码文件
[root@hadoop1 ~]# htpasswd -c /etc/nagios/htpasswd.users nagiosadmin
New password:
Re-type new password:
Adding password for user nagiosadmin
[root@hadoop1 ~]# cat /etc/nagios/htpasswd.users
nagiosadmin:qWrXYKDlycqHM
生成密码成功，接着在hadoop2、hadoop3、hadoop4、hadoop5上安装客户端nrpe及相关插件
yum install nagios-plugins nagios-plugins-nrpe nrpe nagios-plugins-all -y
所有节点的插件均位于/usr/lib64/nagios/plugins/下
[root@hadoop2 ~]# ls /usr/lib64/nagios/plugins/
check_breeze check_game check_mrtgtraf check_overcr check_swap
check_by_ssh check_hpjd check_mysql check_pgsql check_tcp
check_clamd check_http check_mysql_query check_ping check_time
check_cluster check_icmp check_nagios check_pop check_udp
check_dhcp check_ide_smart check_nntp check_procs check_ups
check_dig check_imap check_nntps check_real check_users
check_disk check_ircd check_nrpe check_rpc check_wave
check_disk_smb check_jabber check_nt check_sensors negate
check_dns check_ldap check_ntp check_simap urlize
check_dummy check_ldaps check_ntp_peer check_smtp utils.pm
check_file_age check_load check_ntp.pl check_snmp utils.sh
check_flexlm check_log check_ntp_time check_spop
check_fping check_mailq check_nwstat check_ssh
check_ftp check_mrtg check_oracle check_ssmtp
要想让nagios与ganglia整合起来，就需要在hadoop1上把ganglia安装包中的ganglia的插件放到nagios的插件目录下
[root@hadoop1 ~]# cd /opt/soft/ganglia-3.6.0/
[root@hadoop1 ganglia-3.6.0]# ls contrib/check_ganglia.py
contrib/check_ganglia.py
[root@hadoop1 ganglia-3.6.0]# cp contrib/check_ganglia.py /usr/lib64/nagios/plugins/
默认的check_ganglia.py 插件中只有监控项的实际值大于critical阀值的情况，这里需要增加监控项的实际值小于critical阀值的情况，即最后添加的一段代码
[root@hadoop1 plugins]# cat check_ganglia.py
#!/usr/bin/env python
import sys
import getopt
import socket
import xml.parsers.expat
class GParser:
def __init__(self, host, metric):
self.inhost =0
self.inmetric = 0
self.value = None
self.host = host
self.metric = metric
def parse(self, file):
p = xml.parsers.expat.ParserCreate()
p.StartElementHandler = parser.start_element
p.EndElementHandler = parser.end_element
p.ParseFile(file)
if self.value == None:
raise Exception('Host/value not found')
return float(self.value)
def start_element(self, name, attrs):
if name == "HOST":
if attrs["NAME"]==self.host:
self.inhost=1
elif self.inhost==1 and name == "METRIC" and attrs["NAME"]==self.metric:
self.value=attrs["VAL"]
def end_element(self, name):
if name == "HOST" and self.inhost==1:
self.inhost=0
def usage():
print """Usage: check_ganglia \
-h|--host= -m|--metric= -w|--warning= \
-c|--critical= [-s|--server=] [-p|--port=] """
sys.exit(3)
if __name__ == "__main__":
##############################################################
ganglia_host = '192.168.0.101'
ganglia_port = 8649
host = None
metric = None
warning = None
critical = None
try:
options, args = getopt.getopt(sys.argv[1:],
"h:m:w:c:s:p:",
["host=", "metric=", "warning=", "critical=", "server=", "port="],
)
except getopt.GetoptError, err:
print "check_gmond:", str(err)
usage()
sys.exit(3)
for o, a in options:
if o in ("-h", "--host"):
host = a
elif o in ("-m", "--metric"):
metric = a
elif o in ("-w", "--warning"):
warning = float(a)
elif o in ("-c", "--critical"):
critical = float(a)
elif o in ("-p", "--port"):
ganglia_port = int(a)
elif o in ("-s", "--server"):
ganglia_host = a
if critical == None or warning == None or metric == None or host == None:
usage()
sys.exit(3)
try:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((ganglia_host,ganglia_port))
parser = GParser(host, metric)
value = parser.parse(s.makefile("r"))
s.close()
except Exception, err:
print "CHECKGANGLIA UNKNOWN: Error while getting value \"%s\"" % (err)
sys.exit(3)
if critical > warning:
if value >= critical:
print "CHECKGANGLIA CRITICAL: %s is %.2f" % (metric, value)
sys.exit(2)
elif value >= warning:
print "CHECKGANGLIA WARNING: %s is %.2f" % (metric, value)
sys.exit(1)
else:
print "CHECKGANGLIA OK: %s is %.2f" % (metric, value)
sys.exit(0)
else:
if critical >=value:
print "CHECKGANGLIA CRITICAL: %s is %.2f" % (metric, value)
sys.exit(2)
elif warning >=value:
print "CHECKGANGLIA WARNING: %s is %.2f" % (metric, value)
sys.exit(1)
else:
print "CHECKGANGLIA OK: %s is %.2f" % (metric, value)
sys.exit(0) 配置hadoop2、hadoop3、hadoop4、hadoop5上的nrpe客户端，这里以hadoop2为例演示，其他节点直接从hadoop2上scp，然后覆盖相同路径的下的文件即可
[root@hadoop2 ~]# cat /etc/nagios/nrpe.cfg
log_facility=daemon
pid_file=/var/run/nrpe/nrpe.pid
## nagios的监听端口
server_port=5666
nrpe_user=nrpe
nrpe_group=nrpe
## nagios服务器主机地址
allowed_hosts=192.168.0.101
dont_blame_nrpe=0
allow_bash_command_substitution=0
debug=0
command_timeout=60
connection_timeout=300
## 监控负载
command[check_load]=/usr/lib64/nagios/plugins/check_load -w 15,10,5 -c 30,25,20
## 当前系统用户数
command[check_users]=/usr/lib64/nagios/plugins/check_users -w 5 -c 10
## 根分区空闲容量
command[check_sda2]=/usr/lib64/nagios/plugins/check_disk -w 20% -c 10% -p /dev/sda2
## mysql状态
command[check_mysql]=/usr/lib64/nagios/plugins/check_mysql -H hadoop2.updb.com -P 3306 -d kora -u kora -p upbjsxt
## 主机是否存活
command[check_ping]=/usr/lib64/nagios/plugins/check_ping -H hadoop2.updb.com -w 100.0,20% -c 500.0,60%
## 当前系统的进程总数
command[check_total_procs]=/usr/lib64/nagios/plugins/check_procs -w 150 -c 200
include_dir=/etc/nrpe.d/
scp该文件到hadoop3、hadoop4、hadoop5上相同路径下覆盖源文件，注意要将文件中的主机名改为对应的主机名。
hadoop1上配置各个主机及对应的监控项，有如下配置文件
[root@hadoop1 plugins]# cd /etc/nagios/objects/
## 每个节点对应一个host文件和一个监控项文件，如hadoop2对应的是hadoop2.cfg和service2.cfg
[root@hadoop1 objects]# ls
commands.cfg hadoop3.cfg localhost.cfg service3.cfg templates.cfg
contacts.cfg hadoop4.cfg printer.cfg service4.cfg timeperiods.cfg
hadoop1.cfg hadoop5.cfg service1.cfg service5.cfg windows.cfg
hadoop2.cfg hosts.cfg service2.cfg switch.cfg
首先在commond.cfg中声明check_ganglia、check_nrpe命令，在文件最后追加如下内容
# 'check_ganglia' command definition
define command{
command_name check_ganglia
command_line $USER1$/check_ganglia.py -h $HOSTADDRESS$ -m $ARG1$ -w $ARG2$ -c $ARG3$
}
# 'check_nrpe' command definition
define command{
command_name check_nrpe
command_line $USER1$/check_nrpe -H $HOSTADDRESS$ -c $ARG1$
} 然后修改templates.cfg模版配置文件，在最后追加如下内容
define service {
use generic-service
name ganglia-service1 ## 这里的配置在service1.cfg中用到
hostgroup_name hadoop1 ## 这里的配置在hadoop1.cfg中用到
service_groups ganglia-metrics1 ## 这里的配置在service1.cfg中用到
register 0
}
define service {
use generic-service
name ganglia-service2 ## 这里的配置在service2.cfg中用到
hostgroup_name hadoop2 ## 这里的配置在hadoop2.cfg中用到
service_groups ganglia-metrics2 ## 这里的配置在service2.cfg中用到
register 0
}
define service {
use generic-service
name ganglia-service3 ## 这里的配置在service3.cfg中用到
hostgroup_name hadoop3 ## 这里的配置在hadoop3.cfg中用到
service_groups ganglia-metrics3 ## 这里的配置在service3.cfg中用到
register 0
}
define service {
use generic-service
name ganglia-service4 ## 这里的配置在service4.cfg中用到
hostgroup_name hadoop4 ## 这里的配置在hadoop4.cfg中用到
service_groups ganglia-metrics4 ## 这里的配置在service4.cfg中用到
register 0
}
define service {
use generic-service
name ganglia-service5 ## 这里的配置在service5.cfg中用到
hostgroup_name hadoop5 ## 这里的配置在hadoop5.cfg中用到
service_groups ganglia-metrics5 ## 这里的配置在service5.cfg中用到
register 0
} hadoop1的配置如下,由于hadoop1是服务端，无需使用nrpe来监控自己，配置如下
## hadoop1.cfg中的监控项为常规的本机监控项，而service1.cfg中的监控项为ganglia的监控项
[root@hadoop1 objects]# cat hadoop1.cfg
define host{
use linux-server
host_name hadoop1.updb.com
alias hadoop1.updb.com
address hadoop1.updb.com
}
define hostgroup {
hostgroup_name hadoop1
alias hadoop1
members hadoop1.updb.com
}
define service{
use local-service
host_name hadoop1.updb.com
service_description PING
check_command check_ping!100,20%!500,60%
}
define service{
use local-service
host_name hadoop1.updb.com
service_description 根分区
check_command check_local_disk!20%!10%!/
# contact_groups admins
}
define service{
use local-service
host_name hadoop1.updb.com
service_description 用户数量
check_command check_local_users!20!50
}
define service{
use local-service
host_name hadoop1.updb.com
service_description 进程数
check_command check_local_procs!250!400!RSZDT
}
define service{
use local-service
host_name hadoop1.updb.com
service_description 系统负载
check_command check_local_load!5.0,4.0,3.0!10.0,6.0,4.0
}
## services.cfg
[root@hadoop1 objects]# cat service1.cfg
define servicegroup {
servicegroup_name ganglia-metrics1
alias Ganglia Metrics1
}
## 这里的check_ganglia为commonds.cfg中声明的check_ganglia命令
define service{
use ganglia-service1
service_description HMaster负载
check_command check_ganglia!master.Server.averageLoad!5!10
}
define service{
use ganglia-service1
service_description 内存空闲
check_command check_ganglia!mem_free!200!50
}
define service{
use ganglia-service1
service_description NameNode同步
check_command check_ganglia!dfs.namenode.SyncsAvgTime!10!50
} hadoop2的配置如下，需要注意使用check_nrpe插件的监控项必须要在hadoop2上的nrpe.cfg中声明
## 这里的监控项就使用了远程客户端节点上的nrpe来收集数据并周期性的发送给hadoop1的nagios server
[root@hadoop1 objects]# cat hadoop2.cfg
define host{
use linux-server
host_name hadoop2.updb.com
alias hadoop2.updb.com
address hadoop2.updb.com
}
define hostgroup {
hostgroup_name hadoop2
alias hadoop2
members hadoop2.updb.com
}
## 这里的check_nrpe为commonds.cfg中声明的check_nrpe
define service{
use local-service
host_name hadoop2.updb.com
service_description Mysql状态
check_command check_nrpe!check_mysql
}
define service{
use local-service
host_name hadoop2.updb.com
service_description PING
check_command check_nrpe!check_ping
}
define service{
use local-service
host_name hadoop2.updb.com
service_description 根分区
check_command check_nrpe!check_sda2
}
define service{
use local-service
host_name hadoop2.updb.com
service_description 用户数量
check_command check_nrpe!check_users
}
define service{
use local-service
host_name hadoop2.updb.com
service_description 进程数
check_command check_nrpe!check_total_procs
}
define service{
use local-service
host_name hadoop2.updb.com
service_description 系统负载
check_command check_nrpe!check_load
}
## 这里的监控项为ganglia的监控项使用check_ganglia插件
[root@hadoop1 objects]# cat service2.cfg
define servicegroup {
servicegroup_name ganglia-metrics2
alias Ganglia Metrics2
}
define service{
use ganglia-service2
service_description 内存空闲
check_command check_ganglia!mem_free!200!50
}
define service{
use ganglia-service2
service_description RegionServer_Get
check_command check_ganglia!regionserver.Server.Get_min!5!15
}
define service{
use ganglia-service2
service_description DateNode_Heartbeat
check_command check_ganglia!dfs.datanode.HeartbeatsAvgTime!15!40
} hadoop3、hadoop4、hadoop5的配置与hadoop2一样，除了主机名要改之外。
最后，还要将这些配置include到nagios的主配置文件中去
## 涉及修改的内容如下，其他的保持不变即可
[root@hadoop1 objects]# vi ../nagios.cfg
# You can specify individual object config files as shown below:
#cfg_file=/etc/nagios/objects/localhost.cfg
cfg_file=/etc/nagios/objects/commands.cfg
cfg_file=/etc/nagios/objects/contacts.cfg
cfg_file=/etc/nagios/objects/timeperiods.cfg
cfg_file=/etc/nagios/objects/templates.cfg
## 将host文件引入进来
cfg_file=/etc/nagios/objects/hadoop1.cfg
cfg_file=/etc/nagios/objects/hadoop2.cfg
cfg_file=/etc/nagios/objects/hadoop3.cfg
cfg_file=/etc/nagios/objects/hadoop4.cfg
cfg_file=/etc/nagios/objects/hadoop5.cfg
## 将监控项的文件引入进来
cfg_file=/etc/nagios/objects/service1.cfg
cfg_file=/etc/nagios/objects/service2.cfg
cfg_file=/etc/nagios/objects/service3.cfg
cfg_file=/etc/nagios/objects/service4.cfg
cfg_file=/etc/nagios/objects/service5.cfg
接下来验证，配置项是否正确
[root@hadoop1 objects]# nagios -v ../nagios.cfg
Nagios Core 3.5.1
Copyright (c) 2009-2011 Nagios Core Development Team and Community Contributors
Copyright (c) 1999-2009 Ethan Galstad
Last Modified: 08-30-2013
License: GPL
Website: http://www.nagios.org
Reading configuration data...
Read main config file okay...
Processing object config file '/etc/nagios/objects/commands.cfg'...
Processing object config file '/etc/nagios/objects/contacts.cfg'...
Processing object config file '/etc/nagios/objects/timeperiods.cfg'...
Processing object config file '/etc/nagios/objects/templates.cfg'...
Processing object config file '/etc/nagios/objects/hadoop1.cfg'...
Processing object config file '/etc/nagios/objects/hadoop2.cfg'...
Processing object config file '/etc/nagios/objects/hadoop3.cfg'...
Processing object config file '/etc/nagios/objects/hadoop4.cfg'...
Processing object config file '/etc/nagios/objects/hadoop5.cfg'...
Processing object config file '/etc/nagios/objects/service1.cfg'...
Processing object config file '/etc/nagios/objects/service2.cfg'...
Processing object config file '/etc/nagios/objects/service3.cfg'...
Processing object config file '/etc/nagios/objects/service4.cfg'...
Processing object config file '/etc/nagios/objects/service5.cfg'...
Processing object config directory '/etc/nagios/conf.d'...
Read object config files okay...
Running pre-flight check on configuration data...
Checking services...
Checked 44 services.
Checking hosts...
&nbs
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