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1 介绍
1.1 Mcollective介绍
MCollective 是一个构建服务器编排(Server Orchestration)和并行工作执行系统的框架。
首先，MCollective 是一种针对服务器集群进行可编程控制的系统管理解决方案。在这一点上，它的功能类似：Func，Fabric 和 Capistrano。
其次，MCollective 的设计打破基于中心存储式系统和像 SSH 这样的工具，不再仅仅痴迷于 SSH 的 For 循环。它使用发布订阅中间件(Publish Subscribe Middleware)这样的现代化 工具和通过目标数据(meta data)而不是主机名(hostnames)来实时发现网络资源这样的现代化理念。提供了一个可扩展的而且迅速的并行执行环境。
MCollective 工具为命令行界面，但它可与数千个应用实例进行通信，而且传输速度惊人。无论部署的实例位于什么位置，通信都能以线速进行传输，使用的是一个类似多路传送的推送信息系统。MCollective 工具没有可视化用户界面，用户只能通过检索来获取需要应用的实例。Puppet Dashboard 提供有这部分功能。
MCollective特点：
能够与小到大型服务器集×××互
使用广播范式(broadcast paradigm)来进行请求分发，所有服务器会同时收到请求，而只有与请求所附带的过滤器匹配的服务器才会去执行这些请求。没有中心数据库来进行同步，网络是唯一的真理
打破了以往用主机名作为身份验证手段的复杂命名规则。使用每台机器自身提供的丰富的目标数据来定位它们。目标数据来自于：Puppet, Chef, Facter, Ohai 或者自身提供的插件
使用命令行调用远程代理
能够写自定义的设备报告
大量的代理来管理包，服务和其他来自于社区的通用组件
允许写 SimpleRPC 风格的代理、客户端和使用 Ruby 实现 Web UIs
外部可插件化(pluggable)实现本地需求
中间件系统已有丰富的身份验证和授权模型，利用这些作为控制的第一道防线。
重用中间件来做集群、路由和网络隔离以实现安全和可扩展安装。
MCollective 就是一个框架，一个空壳。它除了 MCO 命令之外都可以被替换被自定义。
备注：更多信息请参考http://docs.puppetlabs.com/
1.2 Middleware（RabbitMQ、ActiveMQ）介绍
RabbitMQ是一个实现了高级消息排队协议（AMQP）的消息队列服务。RabbitMQ基于OTP(Open Telecom Platform，开发电信平台)进行构建，并使用Erlang语言和运行时环境来实现。
ActiveMQ 是Apache出品，最流行的，能力强劲的开源消息总线。ActiveMQ 是一个完全支持JMS1.1和J2EE 1.4规范的 JMS Provider实现
备注：MCollective是基于Apache ActiveMQ中间件来进行开发和测试的，然而其对java和XML格式的配置文件的依赖使我们将更多的注意力和兴趣转移到RabbitMQ中间件服务上。如果考虑到性能和扩展性，部署ActivemMQ是一个更好的选择。
1.3 工作原理图
mcollective触发更新图
备注：更多详细信息请参考
http://docs.puppetlabs.com/mcollective/reference/basic/messageflow.html
2 安装和配置Middleware
备注：ActiveMQ和RabbitMQ选其一进行部署即可
2.1 安装和配置ActiveMQ
2.1.1 安装ActiveMQ
[root@puppetserver rpms]# yum install tanukiwrapper activemq activemq-info-provider
2.1.2 配置ActiveMQ
主要配置MCollective连接的端口以及账号、密码及权限
[root@puppetserver rpms]# vim /etc/activemq/activemq.xml …… #禁用 #配置通信的账号及密码 #配置权限，默认即可 …… #配置通信协议为stomp，监听61613端口
2.1.3 启动ActiveMQ
[root@puppetserver rpms]# /etc/rc.d/init.d/activemq start Starting ActiveMQ Broker... [root@puppetserver rpms]# chkconfig activemq on [root@puppetserver rpms]# netstat -nlatp | grep 61613 #查看监听端口 tcp 0 0 :::61613 :::* LISTEN 33805/java
备注：更多详细配置信息请参考
http://docs.puppetlabs.com/mcollective/reference/plugins/connector_activemq.html
2.2 安装和配置RabbitMQ
2.2.1 安装RabbitMQ
[root@puppetserver rpms]# yum install erlang #RabbitMQ依赖erlang语言，需要安装大概65个左右的erlang依赖包 [root@puppetserver rpms]# yum install rabbitmq-server [root@puppetserver rpms]# ll /usr/lib/rabbitmq/lib/rabbitmq_server-3.1.5/plugins/ #默认已经安装了stomp插件，老版本需要下载安装 -rw-r--r-- 1 root root 242999 Aug 24 17:42 amqp_client-3.1.5.ez -rw-r--r-- 1 root root 85847 Aug 24 17:42 rabbitmq_stomp-3.1.5.ez …
2.2.2 启动rabbitmq-server
[root@puppetserver rpms]# /etc/rc.d/init.d/rabbitmq-server start #启动rabbitmq服务
Starting rabbitmq-server: SUCCESS
rabbitmq-server.
[root@puppetserver rpms]# /etc/rc.d/init.d/rabbitmq-server status #查看rabbitmq状态
Status of node rabbit@puppetserver ...
[{pid,43198},
{running_applications,[{rabbit,"RabbitMQ","3.1.5"},
{mnesia,"MNESIA CXC 138 12","4.5"},
{os_mon,"CPO CXC 138 46","2.2.7"},
{xmerl,"XML parser","1.2.10"},
{sasl,"SASL CXC 138 11","2.1.10"},
{stdlib,"ERTS CXC 138 10","1.17.5"},
{kernel,"ERTS CXC 138 10","2.14.5"}]},
{os,{unix,linux}},
{erlang_version,"Erlang R14B04 (erts-5.8.5) [source] [64-bit] [rq:1] [async-threads:30] [kernel-poll:true]\n"},
{memory,[{total,27101856},
{connection_procs,2648},
{queue_procs,5296},
{plugins,0},
{other_proc,9182320},
{mnesia,57456},
{mgmt_db,0},
{msg_index,21848},
{other_ets,765504},
{binary,3296},
{code,14419185},
{atom,1354457},
{other_system,1289846}]},
{vm_memory_high_watermark,0.4},
{vm_memory_limit,838362726},
{disk_free_limit,1000000000},
{disk_free,15992676352},
{file_descriptors,[{total_limit,924},
{total_used,3},
{sockets_limit,829},
{sockets_used,1}]},
{processes,[{limit,1048576},{used,122}]},
{run_queue,0},
{uptime,4}]
...done.
[root@puppetserver rpms]# netstat -nlp | grep beam #默认监听端口为5672
tcp 0 0 0.0.0.0:44422 0.0.0.0:* LISTEN 43198/beam
tcp 0 0 :::5672 :::* LISTEN 43198/beam
2.2.3 配置RabbitMQ
2.2.3.1 加载amqp_client和rabbit_stomp插件
[root@puppetserver sbin]#ln -s /usr/lib/rabbitmq/lib/rabbitmq_server-3.1.5/sbin/rabbitmq-plugins /usr/sbin/rabbitmq-plugins #创建命令rabbitmq-plugins的软连接 [root@puppetserver sbin]# ln -s /usr/lib/rabbitmq/lib/rabbitmq_server-3.1.5/sbin/rabbitmq-env /usr/sbin/rabbitmq-env #创建命令rabbitmq-env的软连接 [root@puppetserver sbin]# rabbitmq-plugins enable rabbitmq_stomp #开启rabbitmq_stomp插件 The following plugins have been enabled: amqp_client rabbitmq_stomp Plugin configuration has changed. Restart RabbitMQ for changes to take effect. [root@puppetserver sbin]# /etc/rc.d/init.d/rabbitmq-server restart Restarting rabbitmq-server: SUCCESS rabbitmq-server. [root@puppetserver rabbitmq]# tailf /var/log/rabbitmq/rabbit\@puppetserver.log #可以从日志看到stomp插件加载成功 =INFO REPORT==== 3-Oct-2013::20:25:18 === started STOMP TCP Listener on [::]:61613 =INFO REPORT==== 3-Oct-2013::20:25:18 === Server startup complete; 2 plugins started. * amqp_client * rabbitmq_stomp *
2.2.3.2 创建rabbitmq.config配置文件，修改监听端口为61613
[root@puppetserver rpms]# vim /etc/rabbitmq/rabbitmq.config
[
{stomp,[ {tcp_listeners, [61613]} ]} #设置connector为stomp，监听端口为61613
].
[root@puppetserver rpms]# /etc/rc.d/init.d/rabbitmq-server restart
Restarting rabbitmq-server: SUCCESS
rabbitmq-server.
[root@puppetserver rpms]# netstat -nlp | grep beam #默认监听端口为61613
tcp 0 0 0.0.0.0:56532 0.0.0.0:* LISTEN 1906/beam.smp
tcp 0 0 :::61613 :::* LISTEN 1906/beam.smp
tcp 0 0 :::5672 :::* LISTEN 1906/beam.smp
2.2.3.3 删除默认账户guest，为MCollective创建账户“mcollective”并设置密码为“secret”，然后设置权限。
[root@puppetserver rpms]# rabbitmqctl delete_user guest Deleting user "guest" ... ...done. [root@puppetserver rpms]# rabbitmqctl add_user mcollective secret Creating user "mcollective" ... ...done. [root@puppetserver rpms]# rabbitmqctl set_permissions -p "/" mcollective ".*" ".*" ".*" Setting permissions for user "mcollective" in vhost "/" ... ...done. [root@puppetserver sbin]# rabbitmqctl list_users #查看监听用户 Listing users ... mcollective [] ...done.
备注：RabbitMQ拥有一个默认的guest账户，它默认对消息队列拥有全部权限。出于安全方面的考虑，建议删除这个账户。
更多详细配置信息请参考
http://www.rabbitmq.com/admin-guide.html
更多详细配置信息请参考：
http://docs.puppetlabs.com/mcollective/reference/plugins/connector_rabbitmq.html
3 安装和配置MCollective
3.1 安装MCollective
3.1.1 测试端安装MCollective客户端
[root@puppetserver rpms]# yum install mcollective-common mcollective-client #依赖包rubygem-stomp
3.1.2 节点安装MCollective服务端
[root@agent1 ~]# yum install mcollective mcollective-common #依赖rubygem-stomp、rubygems和ruby相关包
3.2 配置MCollective
3.2.1 测试端配置MCollective客户端
[root@puppetserver rpms]# vim /etc/mcollective/client.cfg topicprefix = /topic/ main_collective = mcollective collectives = mcollective libdir = /usr/libexec/mcollective logger_type = console loglevel = warn # Plugins securityprovider = psk plugin.psk = a36cd839414370e10fd281b8a38a4f48 #MCollective通信共享密钥，和MCollective服务端保持一致 connector = stomp #通信协议 plugin.stomp.host = 192.168.100.110 #Middleware地址 plugin.stomp.port = 61613 #Middleware监听端口 plugin.stomp.user = mcollective #Middleware通信账号 plugin.stomp.password = secret #Middleware通信密码 # Facts factsource = yaml plugin.yaml = /etc/mcollective/facts.yaml
3.2.2 节点配置MCollective服务端
[root@agent1 rpms]# vim /etc/mcollective/server.cfg topicprefix = /topic/ main_collective = mcollective collectives = mcollective libdir = /usr/libexec/mcollective #存放plugins的位置 logfile = /var/log/mcollective.log loglevel = info daemonize = 1 # Plugins securityprovider = psk plugin.psk = a36cd839414370e10fd281b8a38a4f48 #MCollective通信共享密钥，和MCollective客户端保持一致 connector = stomp #通信协议 plugin.stomp.host = 192.168.100.110 #Middleware地址 plugin.stomp.port = 61613 #Middleware监听端口 plugin.stomp.user = mcollective #Middleware通信账号 plugin.stomp.password = secret #Middleware通信密码 # Facts factsource = yaml plugin.yaml = /etc/mcollective/facts.yaml [root@agent1 ~]# /etc/rc.d/init.d/mcollective start Starting mcollective: [ OK ] [root@agent1 ~]# chkconfig mcollective on [root@agent1 ~]#
3.3 测试Mcollective与Middleware通信
[root@puppetserver rpms]# mco ping #检查所有存活的节点 agent2.kisspuppet.com time=119.98 ms agent1.kisspuppet.com time=159.31 ms ---- ping statistics ---- 2 replies max: 159.31 min: 119.98 avg: 139.64 [root@puppetserver rpms]# mco find agent1.kisspuppet.com agent2.kisspuppet.com
4 Mcollective插件的安装及测试
MCollective可以使用多种方式进行扩展。最普遍的一种扩展MCollective的方式就是重用已经写好的agent插件。这些小的Ruby库可以让MCollective在整个集群中执行自定义的命令。
一个agent插件通常包含一个Ruby库，它必须被分发到所有运行MCollective agent的节点上。另外，一个数据定义文件（DDL）提供了插件接受的传入参数的具体描述，整个DDL文件需要放在MCollective客户端系统上。最后，一个使用指定的agent插件运行MCollective的脚步也需要被安装到所有的MCollective客户端系统上。
备注：更多插件可以在https://github.com/puppetlabs/mcollective-plugins找到。
4.1 安装puppet agent插件
MCollective本身并不包含一个可以立即使用的Puppet agent插件，需要安装使用。这一插件可以让操作员在需要时运行Puppet agent。他不需要等待Puppet agent的默认运行间隔，也不需要使用其他工具来开始这些任务
4.1.1 安装MCollective的Agent插件
[root@agent1 rpms]# yum install mcollective-puppet-agent mcollective-puppet-common [root@agent1 rpms]# ll /usr/libexec/mcollective/mcollective/agent/ total 36 -rw-r--r-- 1 root root 1033 May 21 01:34 discovery.rb -rw-r--r-- 1 root root 8346 May 14 07:28 puppet.ddl -rw-r--r-- 1 root root 7975 May 14 07:25 puppet.rb -rw-r--r-- 1 root root 5999 May 21 01:34 rpcutil.ddl -rw-r--r-- 1 root root 3120 May 21 01:34 rpcutil.rb [root@puppetserver rpms]# yum install mcollective-puppet-client mcollective-puppet-common [root@puppetserver rpms]# ll /usr/libexec/mcollective/mcollective/agent/ total 28 -rw-r--r-- 1 root root 1033 May 21 01:34 discovery.rb -rw-r--r-- 1 root root 8346 May 14 07:28 puppet.ddl -rw-r--r-- 1 root root 5999 May 21 01:34 rpcutil.ddl -rw-r--r-- 1 root root 3120 May 21 01:34 rpcutil.rb
4.1.2 载入Agent插件
[root@puppetserver rpms]# mco #客户端默认在自动载入 The Marionette Collective version2.2.4 usage: /usr/bin/mco commandKnown commands: completion facts find help inventory ping plugin puppet rpc Type '/usr/bin/mco help' for a detailed listof commands and '/usr/bin/mco help command' toget detailed help for a command [root@agent1 ~]# /etc/rc.d/init.d/mcollective restart Shutting down mcollective: [ OK ] Starting mcollective: [ OK ]
4.1.3 验证Agent插件是否被载入
[root@puppetserver rpms]# mco inventory agent1.kisspuppet.com #查看节点agent1是否已经载入puppet插件
Inventory for agent1.kisspuppet.com:
Server Statistics:
Version: 2.2.4
Start Time: Thu Oct 03 16:09:03 +0800 2013
Config File: /etc/mcollective/server.cfg
Collectives: mcollective
Main Collective: mcollective
Process ID: 8902
Total Messages: 3
Messages Passed Filters: 3
Messages Filtered: 0
Expired Messages: 0
Replies Sent: 2
Total Processor Time: 0.46 seconds
System Time: 0.12 seconds
Agents:
discovery puppet rpcutil
Data Plugins:
agent fstat puppet #已经载入puppet插件
resource
Configuration Management Classes:
No classes applied
Facts:
mcollective => 1
4.1.4 从MCollective中运行Puppet
在运行命令之前，可以在节点查看puppet日志和puppetd服务的启停来判断命令是否调用了puppetd进程。
[root@puppetserver ~]# mco puppet --noop --verbose status #查看节点agent守护进程状态
Discovering hosts using the mc method for 2 second(s) .... 2
* [ ============================================================> ] 2 / 2
agent2.kisspuppet.com: Currently stopped; last completed run 9 hours 35 minutes 36 seconds ago
agent1.kisspuppet.com: Currently stopped; last completed run 9 hours 35 minutes 34 seconds ago
Summary of Applying:
false = 2
Summary of Daemon Running:
stopped = 2
Summary of Enabled:
enabled = 2
[root@puppetserver rpms]# mco puppet -v runonce
Discovering hosts using the mc method for 2 second(s) .... 2
* [ ============================================================> ] 2 / 2
agent1.kisspuppet.com : OK
{:summary=> "Started a background Puppet run using the 'puppet agent --onetime --daemonize --color=false --splay --splaylimit 30' command"}
agent2.kisspuppet.com : OK
{:summary=> "Started a background Puppet run using the 'puppet agent --onetime --daemonize --color=false --splay --splaylimit 30' command"}
---- rpc stats ----
Nodes: 2 / 2
Pass / Fail: 2 / 0
Start Time: Thu Oct 03 16:12:03 +0800 2013
Discovery Time: 2007.23ms
Agent Time: 3591.72ms
Total Time: 5598.94ms
备注：当使用MCollective运行Puppet时，要求在所有被管理的节点上Puppet agent守护进程都需要被关闭。在每次使用mco puppet -v runonce命令调用puppetd agent时，MCollective都会产生一个新的Puppet进程。这个进程会和任何已经运行的Puppet agent守护进程产生功能性的重复。
当Puppet使用—runonce参数运行时，agent会在后台运行。所以虽然MCollective成功运行了Puppet，但实际上的Puppet agent运行可能并不成功。需要查看Puppet报告来确定每一个Puppet agent运行的结果。MCollective返回的OK值表示MCollective服务器成功地启动了puppetd进程并且没有得到任何输出。
4.2 安装facter插件（测试多次发现存在不稳定性）
注意：通过facter插件获取节点facter变量信息不是很稳定，因此可将节点facts信息通过inline_template写入/etc/mcollective/facts.yaml中，并在/etc/mcollective/server.cfg中设置factsource = yaml，这样MCollective客户端只需要每次读取这个文件中的facter变量即可。而且在本地目录/var/lib/puppet/yaml/facts/也会生成一份节点的facter信息，模块部分信息如下：
class mcollective::facter {
file{"/etc/mcollective/facts.yaml":
owner => root,
group => root,
mode => 0440,
loglevel => debug, # reduce noise in Puppet reports
# content => inline_template("<%= scope.to_hash.reject { |k,v| k.to_s =~ /(uptime_seconds|timestamp|free)/ }.to_yaml %>"), # exclude rapidly changing fact
content => inline_template('<%= scope.to_hash.reject { |k,v| k.to_s =~ /(uptime.*|path|timestamp|free|.*password.*|.*psk.*|.*key)/ }.to_yaml %>'),
}
}
[root@agent1 ~]# yum install mcollective-facter-facts [root@agent1 rpms]# ll /usr/libexec/mcollective/mcollective/facts/ total 12 -rw-r--r-- 1 root root 422 Feb 21 2013 facter_facts.ddl -rw-r--r-- 1 root root 945 Feb 21 2013 facter_facts.rb -rw-r--r-- 1 root root 1530 May 21 01:34 yaml_facts.rb
[root@agent1 ~]# vim /etc/mcollective/server.cfg … # Facts #factsource = yaml #注释掉 factsource = facter plugin.yaml = /etc/mcollective/facts.yaml [root@agent1 rpms]# /etc/rc.d/init.d/mcollective restart Shutting down mcollective: [ OK ] Starting mcollective: [ OK ]
[root@puppetserver rpms]# mco inventory agent1.kisspuppet.com #查看节点agent1是否加载了facts插件
Inventory for agent1.kisspuppet.com:
Server Statistics:
Version: 2.2.4
Start Time: Thu Oct 03 16:31:47 +0800 2013
Config File: /etc/mcollective/server.cfg
Collectives: mcollective
Main Collective: mcollective
Process ID: 9485
Total Messages: 37
Messages Passed Filters: 33
Messages Filtered: 4
Expired Messages: 0
Replies Sent: 32
Total Processor Time: 0.74 seconds
System Time: 0.21 seconds
Agents:
discovery puppet rpcutil
Data Plugins:
agent fstat puppet
resource
Configuration Management Classes:
No classes applied
Facts: #可以看到获取的节点facter信息（获取信息需要一些等待时间）
architecture => x86_64
augeasversion => 0.10.0
bios_release_date => 07/02/2012
bios_vendor => Phoenix Technologies LTD
bios_version => 6.00
blockdevice_fd0_size => 4096
…
uptime_days => 0
uptime_hours => 20
uptime_seconds => 74506
uuid => 564DFBAB-CADC-FC69-36CA-955BFDB30F43
virtual => vmware
[root@puppetserver rpms]# mco facts lsbdistdescription -v #使用mco facts命令对操作系统类型进行显示
Discovering hosts using the mc method for 2 second(s) .... 2
Report for fact: lsbdistdescription
Red Hat Enterprise Linux Server release 5.7 (Tikanga)found 1 times
agent2.kisspuppet.com
Red Hat Enterprise Linux Server release 5.8 (Tikanga)found 1 times
agent1.kisspuppet.com
---- rpc stats ----
Nodes: 2 / 2
Pass / Fail: 2 / 0
Start Time: Thu Oct 03 16:59:04 +0800 2013
Discovery Time: 2004.83ms
Agent Time: 67.32ms
Total Time: 2072.15ms
[root@puppetserver rpms]# mco facts lsbdistdescription #使用mco facts命令对操作系统类型进行统计
Report for fact: lsbdistdescription
Red Hat Enterprise Linux Server release 5.7 (Tikanga)found 1 times
Red Hat Enterprise Linux Server release 5.8 (Tikanga)found 1 times
Finished processing 2 / 2 hosts in 79.15 ms
[root@puppetserver rpms]# mco facts -v --with-fact hostname='agent1' memoryfree #查看主机agent1的剩余内存
Discovering hosts using the mc method for 2 second(s) .... 1
Report for fact: memoryfree
795.13 MB found 1 times
agent1.kisspuppet.com
---- rpc stats ----
Nodes: 1 / 1
Pass / Fail: 1 / 0
Start Time: Thu Oct 03 17:02:13 +0800 2013
Discovery Time: 2005.65ms
Agent Time: 49.37ms
Total Time: 2055.03ms
4.3 使用元数据定位主机
4.3.1 使用默认facter元数据定位主机
4.3.1.1 触发所有系统为RedHat，版本为5.7的所有节点puppetd守护进程
[root@puppetserver rpms]# mco puppet -v runonce rpc --np -F operatingsystemrelease='5.7' -F operatingsystem='RedHat'
Discovering hosts using the mc method for 2 second(s) .... 1
agent2.kisspuppet.com : OK
{:summary=> "Started a background Puppet run using the 'puppet agent --onetime --daemonize --color=false --splay --splaylimit 30' command"}
---- rpc stats ----
Nodes: 1 / 1
Pass / Fail: 1 / 0
Start Time: Thu Oct 03 17:03:56 +0800 2013
Discovery Time: 2008.09ms
Agent Time: 1187.69ms
Total Time: 3195.78ms
4.3.1.2 触发所有系统为RedHat，kernel版本为2.6.18的所有节点puppetd守护进程
[root@puppetserver rpms]# mco puppet -v runonce rpc --np -F kernelversion='2.6.18' -F operatingsystem='RedHat'
Discovering hosts using the mc method for 2 second(s) .... 2
agent2.kisspuppet.com : OK
{:summary=> "Started a background Puppet run using the 'puppet agent --onetime --daemonize --color=false --splay --splaylimit 30' command"}
agent1.kisspuppet.com : OK
{:summary=> "Started a background Puppet run using the 'puppet agent --onetime --daemonize --color=false --splay --splaylimit 30' command"}
---- rpc stats ----
Nodes: 2 / 2
Pass / Fail: 2 / 0
Start Time: Thu Oct 03 17:06:15 +0800 2013
Discovery Time: 2004.32ms
Agent Time: 1308.34ms
Total Time: 3312.66ms
4.3.2 使用自定义facter元数据定位主机
备注：使用自定义facter元数据可以更加灵活的定位主机，如何定义fact可参考博文《通过自定义fact增强MCollective推送更新元数据的灵活性》
4.3.2.1 在agent1上定义facter my_apply1和my_apply2
[root@agent1 mcollective]# facter -p | grep my_apply my_apply1 => apache my_apply2 => mysql
4.3.2.2 在agent2上定义facter my_apply2和my_apply3
[root@agent2 mcollective]# facter -p | grep my_apply my_apply2 => mysql my_apply3 => php
4.3.2.3 在MCollective客户端测试节点自定义facter是否正确
[root@puppetserver facter]# mco inventory agent1.kisspuppet.com | grep my_apply
my_apply1 => apache
my_apply2 => mysql
[root@puppetserver facter]# mco inventory agent2.kisspuppet.com | grep my_apply
my_apply2 => mysql
my_apply3 => php
4.3.2.4 通过自定义facter定位主机触发更新
[root@puppetserver facter]# mco puppet -v runonce mco facts -v --with-fact my_apply3='php' #筛选节点facter变量my_apply3=php的主机进行触发puppetd守护进程
Discovering hosts using the mc method for 2 second(s) .... 1
* [ ============================================================> ] 1 / 1
agent2.kisspuppet.com : OK
{:summary=> "Started a background Puppet run using the 'puppet agent --onetime --daemonize --color=false --splay --splaylimit 30' command"}
---- rpc stats ----
Nodes: 1 / 1
Pass / Fail: 1 / 0
Start Time: Thu Oct 03 23:33:54 +0800 2013
Discovery Time: 2005.35ms
Agent Time: 1078.86ms
Total Time: 3084.21ms