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Ganglia监控Hadoop及Hbase集群性能(安装配置)

xioaxu790 发表于 2014-6-15 07:56:41 [显示全部楼层] 只看大图 回帖奖励 阅读模式 关闭右栏 14 86455
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本帖最后由 xioaxu790 于 2014-6-15 07:59 编辑
问题导读：
1、如何安装Ganglia监控Hadoop及Hbase集群？

2、它的效能如何？





1. 在主节点上安装ganglia-webfrontend和ganglia-monitor
  1. sudo apt-get install ganglia-webfrontend ganglia-monitor
复制代码
在主节点上安装ganglia-webfrontend和ganglia-monitor。在其他监视节点上，只需要安装ganglia-monitor即可
将ganglia的文件链接到apache的默认目录下
  1. sudo ln -s /usr/share/ganglia-webfrontend /var/www/ganglia
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2. 安装ganglia-monitor
在其他监视节点上，只需要安装ganglia-monitor
  1. sudo apt-get install ganglia-monitor
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3. Ganglia配置
gmond.conf
在每个节点上都需要配置/etc/ganglia/gmond.conf,配置相同如下所示
  1. sudo vim /etc/ganglia/gmond.conf
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修改后的/etc/ganglia/gmond.conf
  1. globals {                    

  2.   daemonize = yes  ##以后台的方式运行            

  3.   setuid = yes             

  4.   user = ganglia     #运行Ganglia的用户              

  5.   debug_level = 0               

  6.   max_udp_msg_len = 1472        

  7.   mute = no             

  8.   deaf = no             

  9.   host_dmax = 0 /*secs */ 

  10.   cleanup_threshold = 300 /*secs */ 

  11.   gexec = no             

  12.   send_metadata_interval = 10     #发送数据的时间间隔

  13. } 

  14. 

  15. /* If a cluster attribute is specified, then all gmond hosts are wrapped inside 

  16.  * of a <CLUSTER> tag.  If you do not specify a cluster tag, then all <HOSTS> will 

  17.  * NOT be wrapped inside of a <CLUSTER> tag. */ 

  18. cluster { 

  19.   name = "hadoop-cluster"         #集群名称

  20.   owner = "ganglia"               #运行Ganglia的用户

  21.   latlong = "unspecified" 

  22.   url = "unspecified" 

  23. } 

  24. 

  25. /* The host section describes attributes of the host, like the location */ 

  26. host { 

  27.   location = "unspecified" 

  28. } 

  29. 

  30. /* Feel free to specify as many udp_send_channels as you like.  Gmond 

  31.    used to only support having a single channel */ 

  32. udp_send_channel { 

  33.   #mcast_join = 239.2.11.71     #注释掉组播

  34.   host = master                 #发送给安装gmetad的机器

  35.   port = 8649                   #监听端口

  36.   ttl = 1 

  37. } 

  38. 

  39. /* You can specify as many udp_recv_channels as you like as well. */ 

  40. udp_recv_channel { 

  41.   #mcast_join = 239.2.11.71     #注释掉组播

  42.   port = 8649 

  43.   #bind = 239.2.11.71 

  44. } 

  45. 

  46. /* You can specify as many tcp_accept_channels as you like to share 

  47.    an xml description of the state of the cluster */ 

  48. tcp_accept_channel { 

  49.   port = 8649 

  50. } 
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gmetad.conf
在主节点上还需要配置/etc/ganglia/gmetad.conf,这里面的名字hadoop-cluster和上面gmond.conf中name应该一致。　
/etc/ganglia/gmetad.conf
  1. sudo vim /etc/ganglia/gmetad.conf
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修改为以下内容
  1. data_source "hadoop-cluster" 10 master:8649 slave:8649

  2. setuid_username "nobody"

  3. rrd_rootdir "/var/lib/ganglia/rrds"

  4. gridname "hadoop-cluster"

  5. 注:master:8649 slave:8649为要监听的主机和端口,data_source中hadoop-cluster与gmond.conf中name一致
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4. Hadoop配置
在所有hadoop所在的节点，均需要配置hadoop-metrics2.properties，配置如下：
  1. #   Licensed to the Apache Software Foundation (ASF) under one or more

  2. #   contributor license agreements.  See the NOTICE file distributed with

  3. #   this work for additional information regarding copyright ownership.

  4. #   The ASF licenses this file to You under the Apache License, Version 2.0

  5. #   (the "License"); you may not use this file except in compliance with

  6. #   the License.  You may obtain a copy of the License at

  7. #

  8. #       http://www.apache.org/licenses/LICENSE-2.0

  9. #

  10. #   Unless required by applicable law or agreed to in writing, software

  11. #   distributed under the License is distributed on an "AS IS" BASIS,

  12. #   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  13. #   See the License for the specific language governing permissions and

  14. #   limitations under the License.

  15. #

  16. 

  17. # syntax: [prefix].[source|sink].[instance].[options]

  18. # See javadoc of package-info.java for org.apache.hadoop.metrics2 for details

  19. 

  20. #注释掉以前原有配置

  21. 

  22. #*.sink.file.class=org.apache.hadoop.metrics2.sink.FileSink

  23. # default sampling period, in seconds

  24. #*.period=10

  25. 

  26. # The namenode-metrics.out will contain metrics from all context

  27. #namenode.sink.file.filename=namenode-metrics.out

  28. # Specifying a special sampling period for namenode:

  29. #namenode.sink.*.period=8

  30. 

  31. #datanode.sink.file.filename=datanode-metrics.out

  32. 

  33. # the following example split metrics of different

  34. # context to different sinks (in this case files)

  35. #jobtracker.sink.file_jvm.context=jvm

  36. #jobtracker.sink.file_jvm.filename=jobtracker-jvm-metrics.out

  37. #jobtracker.sink.file_mapred.context=mapred

  38. #jobtracker.sink.file_mapred.filename=jobtracker-mapred-metrics.out

  39. 

  40. #tasktracker.sink.file.filename=tasktracker-metrics.out

  41. 

  42. #maptask.sink.file.filename=maptask-metrics.out

  43. 

  44. #reducetask.sink.file.filename=reducetask-metrics.out

  45. 

  46. *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31  

  47. *.sink.ganglia.period=10

  48. 

  49. *.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both  

  50. *.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40  

  51. 

  52. namenode.sink.ganglia.servers=master:8649  

  53. resourcemanager.sink.ganglia.servers=master:8649  

  54. 

  55. datanode.sink.ganglia.servers=master:8649    

  56. nodemanager.sink.ganglia.servers=master:8649    

  57. 

  58. 

  59. maptask.sink.ganglia.servers=master:8649    

  60. reducetask.sink.ganglia.servers=master:8649
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5. Hbase配置
在所有的hbase节点中均配置hadoop-metrics2-hbase.properties,配置如下:
  1. # syntax: [prefix].[source|sink].[instance].[options]

  2. # See javadoc of package-info.java for org.apache.hadoop.metrics2 for details

  3. 

  4. #*.sink.file*.class=org.apache.hadoop.metrics2.sink.FileSink

  5. # default sampling period

  6. #*.period=10

  7. 

  8. # Below are some examples of sinks that could be used

  9. # to monitor different hbase daemons.

  10. 

  11. # hbase.sink.file-all.class=org.apache.hadoop.metrics2.sink.FileSink

  12. # hbase.sink.file-all.filename=all.metrics

  13. 

  14. # hbase.sink.file0.class=org.apache.hadoop.metrics2.sink.FileSink

  15. # hbase.sink.file0.context=hmaster

  16. # hbase.sink.file0.filename=master.metrics

  17. 

  18. # hbase.sink.file1.class=org.apache.hadoop.metrics2.sink.FileSink

  19. # hbase.sink.file1.context=thrift-one

  20. # hbase.sink.file1.filename=thrift-one.metrics

  21. 

  22. # hbase.sink.file2.class=org.apache.hadoop.metrics2.sink.FileSink

  23. # hbase.sink.file2.context=thrift-two

  24. # hbase.sink.file2.filename=thrift-one.metrics

  25. 

  26. # hbase.sink.file3.class=org.apache.hadoop.metrics2.sink.FileSink

  27. # hbase.sink.file3.context=rest

  28. # hbase.sink.file3.filename=rest.metrics

  29. 

  30. 

  31. *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31  

  32. *.sink.ganglia.period=10  

  33. 

  34. hbase.sink.ganglia.period=10  

  35. hbase.sink.ganglia.servers=master:8649
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6. 启动hadoop、hbase集群
  1. start-dfs.sh

  2. start-yarn.sh

  3. start-hbase.sh
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7. 启动Ganglia
先需要重启hadoop和hbase 。在各个节点上启动gmond服务，主节点还需要启动gmetad服务。
使用apt-get方式安装的Ganglia，可以直接用service方式启动。
  1. sudo service ganglia-monitor start（每台机器都需要启动）

  2. 

  3. sudo service gmetad start（在安装了ganglia-webfrontend的机器上启动）
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8. 检验
登录浏览器查看：http://master/ganglia，如果Hosts up为9即表示安装成功。
若安装不成功，有几个很有用的调试命令：
以调试模式启动gmetad：gmetad -d 9
查看gmetad收集到的XML文件：telnet master 8649


9. 截图

444444.png


333333333.png


master节点gmetad.conf配置
  1. # This is an example of a Ganglia Meta Daemon configuration file

  2. #                http://ganglia.sourceforge.net/

  3. #

  4. #

  5. #-------------------------------------------------------------------------------

  6. # Setting the debug_level to 1 will keep daemon in the forground and

  7. # show only error messages. Setting this value higher than 1 will make 

  8. # gmetad output debugging information and stay in the foreground.

  9. # default: 0

  10. # debug_level 10

  11. #

  12. #-------------------------------------------------------------------------------

  13. # What to monitor. The most important section of this file. 

  14. #

  15. # The data_source tag specifies either a cluster or a grid to

  16. # monitor. If we detect the source is a cluster, we will maintain a complete

  17. # set of RRD databases for it, which can be used to create historical 

  18. # graphs of the metrics. If the source is a grid (it comes from another gmetad),

  19. # we will only maintain summary RRDs for it.

  20. #

  21. # Format: 

  22. # data_source "my cluster" [polling interval] address1:port addreses2:port ...

  23. # 

  24. # The keyword 'data_source' must immediately be followed by a unique

  25. # string which identifies the source, then an optional polling interval in 

  26. # seconds. The source will be polled at this interval on average. 

  27. # If the polling interval is omitted, 15sec is asssumed. 

  28. #

  29. # If you choose to set the polling interval to something other than the default,

  30. # note that the web frontend determines a host as down if its TN value is less

  31. # than 4 * TMAX (20sec by default).  Therefore, if you set the polling interval

  32. # to something around or greater than 80sec, this will cause the frontend to

  33. # incorrectly display hosts as down even though they are not.

  34. #

  35. # A list of machines which service the data source follows, in the 

  36. # format ip:port, or name:port. If a port is not specified then 8649

  37. # (the default gmond port) is assumed.

  38. # default: There is no default value

  39. #

  40. # data_source "my cluster" 10 localhost  my.machine.edu:8649  1.2.3.5:8655

  41. # data_source "my grid" 50 1.3.4.7:8655 grid.org:8651 grid-backup.org:8651

  42. # data_source "another source" 1.3.4.7:8655  1.3.4.8

  43. 

  44. data_source "hadoop-cluster" 10 master:8649 slave:8649

  45. setuid_username "nobody"

  46. rrd_rootdir "/var/lib/ganglia/rrds"

  47. gridname "hadoop-cluster"

  48. 

  49. #

  50. # Round-Robin Archives

  51. # You can specify custom Round-Robin archives here (defaults are listed below)

  52. #

  53. # Old Default RRA: Keep 1 hour of metrics at 15 second resolution. 1 day at 6 minute

  54. # RRAs "RRA:AVERAGE:0.5:1:244" "RRA:AVERAGE:0.5:24:244" "RRA:AVERAGE:0.5:168:244" "RRA:AVERAGE:0.5:672:244" \

  55. #      "RRA:AVERAGE:0.5:5760:374"

  56. # New Default RRA

  57. # Keep 5856 data points at 15 second resolution assuming 15 second (default) polling. That's 1 day

  58. # Two weeks of data points at 1 minute resolution (average)

  59. #RRAs "RRA:AVERAGE:0.5:1:5856" "RRA:AVERAGE:0.5:4:20160" "RRA:AVERAGE:0.5:40:52704"

  60. 

  61. #

  62. #-------------------------------------------------------------------------------

  63. # Scalability mode. If on, we summarize over downstream grids, and respect

  64. # authority tags. If off, we take on 2.5.0-era behavior: we do not wrap our output

  65. # in <GRID></GRID> tags, we ignore all <GRID> tags we see, and always assume

  66. # we are the "authority" on data source feeds. This approach does not scale to

  67. # large groups of clusters, but is provided for backwards compatibility.

  68. # default: on

  69. # scalable off

  70. #

  71. #-------------------------------------------------------------------------------

  72. # The name of this Grid. All the data sources above will be wrapped in a GRID

  73. # tag with this name.

  74. # default: unspecified

  75. # gridname "MyGrid"

  76. #

  77. #-------------------------------------------------------------------------------

  78. # The authority URL for this grid. Used by other gmetads to locate graphs

  79. # for our data sources. Generally points to a ganglia/

  80. # website on this machine.

  81. # default: "http://hostname/ganglia/",

  82. #   where hostname is the name of this machine, as defined by gethostname().

  83. # authority "http://mycluster.org/newprefix/"

  84. #

  85. #-------------------------------------------------------------------------------

  86. # List of machines this gmetad will share XML with. Localhost

  87. # is always trusted. 

  88. # default: There is no default value

  89. # trusted_hosts 127.0.0.1 169.229.50.165 my.gmetad.org

  90. #

  91. #-------------------------------------------------------------------------------

  92. # If you want any host which connects to the gmetad XML to receive

  93. # data, then set this value to "on"

  94. # default: off

  95. # all_trusted on

  96. #

  97. #-------------------------------------------------------------------------------

  98. # If you don't want gmetad to setuid then set this to off

  99. # default: on

  100. # setuid off

  101. #

  102. #-------------------------------------------------------------------------------

  103. # User gmetad will setuid to (defaults to "nobody")

  104. # default: "nobody"

  105. # setuid_username "nobody"

  106. #

  107. #-------------------------------------------------------------------------------

  108. # Umask to apply to created rrd files and grid directory structure

  109. # default: 0 (files are public)

  110. # umask 022

  111. #

  112. #-------------------------------------------------------------------------------

  113. # The port gmetad will answer requests for XML

  114. # default: 8651

  115. # xml_port 8651

  116. #

  117. #-------------------------------------------------------------------------------

  118. # The port gmetad will answer queries for XML. This facility allows

  119. # simple subtree and summation views of the XML tree.

  120. # default: 8652

  121. # interactive_port 8652

  122. #

  123. #-------------------------------------------------------------------------------

  124. # The number of threads answering XML requests

  125. # default: 4

  126. # server_threads 10

  127. #

  128. #-------------------------------------------------------------------------------

  129. # Where gmetad stores its round-robin databases

  130. # default: "/var/lib/ganglia/rrds"

  131. # rrd_rootdir "/some/other/place"

  132. #

  133. #-------------------------------------------------------------------------------

  134. # In earlier versions of gmetad, hostnames were handled in a case

  135. # sensitive manner

  136. # If your hostname directories have been renamed to lower case,

  137. # set this option to 0 to disable backward compatibility.

  138. # From version 3.2, backwards compatibility will be disabled by default.

  139. # default: 1   (for gmetad < 3.2)

  140. # default: 0   (for gmetad >= 3.2)

  141. case_sensitive_hostnames 0

  142. 

  143. #-------------------------------------------------------------------------------

  144. # It is now possible to export all the metrics collected by gmetad directly to

  145. # graphite by setting the following attributes. 

  146. #

  147. # The hostname or IP address of the Graphite server

  148. # default: unspecified

  149. # carbon_server "my.graphite.box"

  150. #

  151. # The port on which Graphite is listening

  152. # default: 2003

  153. # carbon_port 2003

  154. #

  155. # A prefix to prepend to the metric names exported by gmetad. Graphite uses dot-

  156. # separated paths to organize and refer to metrics. 

  157. # default: unspecified

  158. # graphite_prefix "datacenter1.gmetad"

  159. #

  160. # Number of milliseconds gmetad will wait for a response from the graphite server 

  161. # default: 500

  162. # carbon_timeout 500

  163. #

  164.  master-gmond.conf.md Raw
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master节点gmond.conf配置
  1. /* This configuration is as close to 2.5.x default behavior as possible 

  2.    The values closely match ./gmond/metric.h definitions in 2.5.x */ 

  3. globals {                    

  4.   daemonize = yes              

  5.   setuid = yes             

  6.   user = ganglia              

  7.   debug_level = 0               

  8.   max_udp_msg_len = 1472        

  9.   mute = no             

  10.   deaf = no             

  11.   host_dmax = 0 /*secs */ 

  12.   cleanup_threshold = 300 /*secs */ 

  13.   gexec = no             

  14.   send_metadata_interval = 10 

  15. } 

  16. 

  17. /* If a cluster attribute is specified, then all gmond hosts are wrapped inside 

  18.  * of a <CLUSTER> tag.  If you do not specify a cluster tag, then all <HOSTS> will 

  19.  * NOT be wrapped inside of a <CLUSTER> tag. */ 

  20. cluster { 

  21.   name = "hadoop-cluster" 

  22.   owner = "ganglia" 

  23.   latlong = "unspecified" 

  24.   url = "unspecified" 

  25. } 

  26. 

  27. /* The host section describes attributes of the host, like the location */ 

  28. host { 

  29.   location = "unspecified" 

  30. } 

  31. 

  32. /* Feel free to specify as many udp_send_channels as you like.  Gmond 

  33.    used to only support having a single channel */ 

  34. udp_send_channel { 

  35.   #mcast_join = 239.2.11.71 

  36.   host = master

  37.   port = 8649 

  38.   ttl = 1 

  39. } 

  40. 

  41. /* You can specify as many udp_recv_channels as you like as well. */ 

  42. udp_recv_channel { 

  43.   #mcast_join = 239.2.11.71 

  44.   port = 8649 

  45.   #bind = 239.2.11.71 

  46. } 

  47. 

  48. /* You can specify as many tcp_accept_channels as you like to share 

  49.    an xml description of the state of the cluster */ 

  50. tcp_accept_channel { 

  51.   port = 8649 

  52. } 

  53. 

  54. /* Each metrics module that is referenced by gmond must be specified and 

  55.    loaded. If the module has been statically linked with gmond, it does not 

  56.    require a load path. However all dynamically loadable modules must include 

  57.    a load path. */ 

  58. modules { 

  59.   module { 

  60.     name = "core_metrics" 

  61.   } 

  62.   module { 

  63.     name = "cpu_module" 

  64.     path = "/usr/lib/ganglia/modcpu.so" 

  65.   } 

  66.   module { 

  67.     name = "disk_module" 

  68.     path = "/usr/lib/ganglia/moddisk.so" 

  69.   } 

  70.   module { 

  71.     name = "load_module" 

  72.     path = "/usr/lib/ganglia/modload.so" 

  73.   } 

  74.   module { 

  75.     name = "mem_module" 

  76.     path = "/usr/lib/ganglia/modmem.so" 

  77.   } 

  78.   module { 

  79.     name = "net_module" 

  80.     path = "/usr/lib/ganglia/modnet.so" 

  81.   } 

  82.   module { 

  83.     name = "proc_module" 

  84.     path = "/usr/lib/ganglia/modproc.so" 

  85.   } 

  86.   module { 

  87.     name = "sys_module" 

  88.     path = "/usr/lib/ganglia/modsys.so" 

  89.   } 

  90. } 

  91. 

  92. include ('/etc/ganglia/conf.d/*.conf') 

  93. 

  94. 

  95. /* The old internal 2.5.x metric array has been replaced by the following 

  96.    collection_group directives.  What follows is the default behavior for 

  97.    collecting and sending metrics that is as close to 2.5.x behavior as 

  98.    possible. */

  99. 

  100. /* This collection group will cause a heartbeat (or beacon) to be sent every 

  101.    20 seconds.  In the heartbeat is the GMOND_STARTED data which expresses 

  102.    the age of the running gmond. */ 

  103. collection_group { 

  104.   collect_once = yes 

  105.   time_threshold = 20 

  106.   metric { 

  107.     name = "heartbeat" 

  108.   } 

  109. } 

  110. 

  111. /* This collection group will send general info about this host every 1200 secs. 

  112.    This information doesn't change between reboots and is only collected once. */ 

  113. collection_group { 

  114.   collect_once = yes 

  115.   time_threshold = 1200 

  116.   metric { 

  117.     name = "cpu_num" 

  118.     title = "CPU Count" 

  119.   } 

  120.   metric { 

  121.     name = "cpu_speed" 

  122.     title = "CPU Speed" 

  123.   } 

  124.   metric { 

  125.     name = "mem_total" 

  126.     title = "Memory Total" 

  127.   } 

  128.   /* Should this be here? Swap can be added/removed between reboots. */ 

  129.   metric { 

  130.     name = "swap_total" 

  131.     title = "Swap Space Total" 

  132.   } 

  133.   metric { 

  134.     name = "boottime" 

  135.     title = "Last Boot Time" 

  136.   } 

  137.   metric { 

  138.     name = "machine_type" 

  139.     title = "Machine Type" 

  140.   } 

  141.   metric { 

  142.     name = "os_name" 

  143.     title = "Operating System" 

  144.   } 

  145.   metric { 

  146.     name = "os_release" 

  147.     title = "Operating System Release" 

  148.   } 

  149.   metric { 

  150.     name = "location" 

  151.     title = "Location" 

  152.   } 

  153. } 

  154. 

  155. /* This collection group will send the status of gexecd for this host every 300 secs */

  156. /* Unlike 2.5.x the default behavior is to report gexecd OFF.  */ 

  157. collection_group { 

  158.   collect_once = yes 

  159.   time_threshold = 300 

  160.   metric { 

  161.     name = "gexec" 

  162.     title = "Gexec Status" 

  163.   } 

  164. } 

  165. 

  166. /* This collection group will collect the CPU status info every 20 secs. 

  167.    The time threshold is set to 90 seconds.  In honesty, this time_threshold could be 

  168.    set significantly higher to reduce unneccessary network chatter. */ 

  169. collection_group { 

  170.   collect_every = 20 

  171.   time_threshold = 90 

  172.   /* CPU status */ 

  173.   metric { 

  174.     name = "cpu_user"  

  175.     value_threshold = "1.0" 

  176.     title = "CPU User" 

  177.   } 

  178.   metric { 

  179.     name = "cpu_system"   

  180.     value_threshold = "1.0" 

  181.     title = "CPU System" 

  182.   } 

  183.   metric { 

  184.     name = "cpu_idle"  

  185.     value_threshold = "5.0" 

  186.     title = "CPU Idle" 

  187.   } 

  188.   metric { 

  189.     name = "cpu_nice"  

  190.     value_threshold = "1.0" 

  191.     title = "CPU Nice" 

  192.   } 

  193.   metric { 

  194.     name = "cpu_aidle" 

  195.     value_threshold = "5.0" 

  196.     title = "CPU aidle" 

  197.   } 

  198.   metric { 

  199.     name = "cpu_wio" 

  200.     value_threshold = "1.0" 

  201.     title = "CPU wio" 

  202.   } 

  203.   /* The next two metrics are optional if you want more detail... 

  204.      ... since they are accounted for in cpu_system.  

  205.   metric { 

  206.     name = "cpu_intr" 

  207.     value_threshold = "1.0" 

  208.     title = "CPU intr" 

  209.   } 

  210.   metric { 

  211.     name = "cpu_sintr" 

  212.     value_threshold = "1.0" 

  213.     title = "CPU sintr" 

  214.   } 

  215.   */ 

  216. } 

  217. 

  218. collection_group { 

  219.   collect_every = 20 

  220.   time_threshold = 90 

  221.   /* Load Averages */ 

  222.   metric { 

  223.     name = "load_one" 

  224.     value_threshold = "1.0" 

  225.     title = "One Minute Load Average" 

  226.   } 

  227.   metric { 

  228.     name = "load_five" 

  229.     value_threshold = "1.0" 

  230.     title = "Five Minute Load Average" 

  231.   } 

  232.   metric { 

  233.     name = "load_fifteen" 

  234.     value_threshold = "1.0" 

  235.     title = "Fifteen Minute Load Average" 

  236.   }

  237. } 

  238. 

  239. /* This group collects the number of running and total processes */ 

  240. collection_group { 

  241.   collect_every = 80 

  242.   time_threshold = 950 

  243.   metric { 

  244.     name = "proc_run" 

  245.     value_threshold = "1.0" 

  246.     title = "Total Running Processes" 

  247.   } 

  248.   metric { 

  249.     name = "proc_total" 

  250.     value_threshold = "1.0" 

  251.     title = "Total Processes" 

  252.   } 

  253. }

  254. 

  255. /* This collection group grabs the volatile memory metrics every 40 secs and 

  256.    sends them at least every 180 secs.  This time_threshold can be increased 

  257.    significantly to reduce unneeded network traffic. */ 

  258. collection_group { 

  259.   collect_every = 40 

  260.   time_threshold = 180 

  261.   metric { 

  262.     name = "mem_free" 

  263.     value_threshold = "1024.0" 

  264.     title = "Free Memory" 

  265.   } 

  266.   metric { 

  267.     name = "mem_shared" 

  268.     value_threshold = "1024.0" 

  269.     title = "Shared Memory" 

  270.   } 

  271.   metric { 

  272.     name = "mem_buffers" 

  273.     value_threshold = "1024.0" 

  274.     title = "Memory Buffers" 

  275.   } 

  276.   metric { 

  277.     name = "mem_cached" 

  278.     value_threshold = "1024.0" 

  279.     title = "Cached Memory" 

  280.   } 

  281.   metric { 

  282.     name = "swap_free" 

  283.     value_threshold = "1024.0" 

  284.     title = "Free Swap Space" 

  285.   } 

  286. } 

  287. 

  288. collection_group { 

  289.   collect_every = 40 

  290.   time_threshold = 300 

  291.   metric { 

  292.     name = "bytes_out" 

  293.     value_threshold = 4096 

  294.     title = "Bytes Sent" 

  295.   } 

  296.   metric { 

  297.     name = "bytes_in" 

  298.     value_threshold = 4096 

  299.     title = "Bytes Received" 

  300.   } 

  301.   metric { 

  302.     name = "pkts_in" 

  303.     value_threshold = 256 

  304.     title = "Packets Received" 

  305.   } 

  306.   metric { 

  307.     name = "pkts_out" 

  308.     value_threshold = 256 

  309.     title = "Packets Sent" 

  310.   } 

  311. }

  312. 

  313. /* Different than 2.5.x default since the old config made no sense */ 

  314. collection_group { 

  315.   collect_every = 1800 

  316.   time_threshold = 3600 

  317.   metric { 

  318.     name = "disk_total" 

  319.     value_threshold = 1.0 

  320.     title = "Total Disk Space" 

  321.   } 

  322. }

  323. 

  324. collection_group { 

  325.   collect_every = 40 

  326.   time_threshold = 180 

  327.   metric { 

  328.     name = "disk_free" 

  329.     value_threshold = 1.0 

  330.     title = "Disk Space Available" 

  331.   } 

  332.   metric { 

  333.     name = "part_max_used" 

  334.     value_threshold = 1.0 

  335.     title = "Maximum Disk Space Used" 

  336.   } 

  337. }

  338.  master-hadoop-metrics2-hbase.properties.md Raw

  339. master节点hadoop-metrics2-hbase.properties配置

  340. 

  341. # syntax: [prefix].[source|sink].[instance].[options]

  342. # See javadoc of package-info.java for org.apache.hadoop.metrics2 for details

  343. 

  344. #*.sink.file*.class=org.apache.hadoop.metrics2.sink.FileSink

  345. # default sampling period

  346. #*.period=10

  347. 

  348. # Below are some examples of sinks that could be used

  349. # to monitor different hbase daemons.

  350. 

  351. # hbase.sink.file-all.class=org.apache.hadoop.metrics2.sink.FileSink

  352. # hbase.sink.file-all.filename=all.metrics

  353. 

  354. # hbase.sink.file0.class=org.apache.hadoop.metrics2.sink.FileSink

  355. # hbase.sink.file0.context=hmaster

  356. # hbase.sink.file0.filename=master.metrics

  357. 

  358. # hbase.sink.file1.class=org.apache.hadoop.metrics2.sink.FileSink

  359. # hbase.sink.file1.context=thrift-one

  360. # hbase.sink.file1.filename=thrift-one.metrics

  361. 

  362. # hbase.sink.file2.class=org.apache.hadoop.metrics2.sink.FileSink

  363. # hbase.sink.file2.context=thrift-two

  364. # hbase.sink.file2.filename=thrift-one.metrics

  365. 

  366. # hbase.sink.file3.class=org.apache.hadoop.metrics2.sink.FileSink

  367. # hbase.sink.file3.context=rest

  368. # hbase.sink.file3.filename=rest.metrics

  369. 

  370. 

  371. *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31  

  372. *.sink.ganglia.period=10  

  373. 

  374. hbase.sink.ganglia.period=10  

  375. hbase.sink.ganglia.servers=master:8649

  376.  master-hadoop-metrics2.properties.md Raw

  377. master节点hadoop-metrics2.properties配置

  378. 

  379. #

  380. #   Licensed to the Apache Software Foundation (ASF) under one or more

  381. #   contributor license agreements.  See the NOTICE file distributed with

  382. #   this work for additional information regarding copyright ownership.

  383. #   The ASF licenses this file to You under the Apache License, Version 2.0

  384. #   (the "License"); you may not use this file except in compliance with

  385. #   the License.  You may obtain a copy of the License at

  386. #

  387. #       http://www.apache.org/licenses/LICENSE-2.0

  388. #

  389. #   Unless required by applicable law or agreed to in writing, software

  390. #   distributed under the License is distributed on an "AS IS" BASIS,

  391. #   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  392. #   See the License for the specific language governing permissions and

  393. #   limitations under the License.

  394. #

  395. 

  396. # syntax: [prefix].[source|sink].[instance].[options]

  397. # See javadoc of package-info.java for org.apache.hadoop.metrics2 for details

  398. 

  399. #*.sink.file.class=org.apache.hadoop.metrics2.sink.FileSink

  400. # default sampling period, in seconds

  401. #*.period=10

  402. 

  403. # The namenode-metrics.out will contain metrics from all context

  404. #namenode.sink.file.filename=namenode-metrics.out

  405. # Specifying a special sampling period for namenode:

  406. #namenode.sink.*.period=8

  407. 

  408. #datanode.sink.file.filename=datanode-metrics.out

  409. 

  410. # the following example split metrics of different

  411. # context to different sinks (in this case files)

  412. #jobtracker.sink.file_jvm.context=jvm

  413. #jobtracker.sink.file_jvm.filename=jobtracker-jvm-metrics.out

  414. #jobtracker.sink.file_mapred.context=mapred

  415. #jobtracker.sink.file_mapred.filename=jobtracker-mapred-metrics.out

  416. 

  417. #tasktracker.sink.file.filename=tasktracker-metrics.out

  418. 

  419. #maptask.sink.file.filename=maptask-metrics.out

  420. 

  421. #reducetask.sink.file.filename=reducetask-metrics.out

  422. 

  423. *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31  

  424. *.sink.ganglia.period=10

  425. 

  426. *.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both  

  427. *.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40  

  428. 

  429. namenode.sink.ganglia.servers=master:8649  

  430. resourcemanager.sink.ganglia.servers=master:8649  

  431. 

  432. datanode.sink.ganglia.servers=master:8649    

  433. nodemanager.sink.ganglia.servers=master:8649    

  434. 

  435. 

  436. maptask.sink.ganglia.servers=master:8649    

  437. reducetask.sink.ganglia.servers=master:8649

  438.  slave-gmond.conf.md Raw

  439. slave节点gmond.conf配置

  440. 

  441. /* This configuration is as close to 2.5.x default behavior as possible 

  442.    The values closely match ./gmond/metric.h definitions in 2.5.x */ 

  443. globals {                    

  444.   daemonize = yes              

  445.   setuid = yes             

  446.   user = ganglia              

  447.   debug_level = 0               

  448.   max_udp_msg_len = 1472        

  449.   mute = no             

  450.   deaf = no             

  451.   host_dmax = 0 /*secs */ 

  452.   cleanup_threshold = 300 /*secs */ 

  453.   gexec = no             

  454.   send_metadata_interval = 10     

  455. } 

  456. 

  457. /* If a cluster attribute is specified, then all gmond hosts are wrapped inside 

  458.  * of a <CLUSTER> tag.  If you do not specify a cluster tag, then all <HOSTS> will 

  459.  * NOT be wrapped inside of a <CLUSTER> tag. */ 

  460. cluster { 

  461.   name = "hadoop-cluster" 

  462.   owner = "ganglia" 

  463.   latlong = "unspecified" 

  464.   url = "unspecified" 

  465. } 

  466. 

  467. /* The host section describes attributes of the host, like the location */ 

  468. host { 

  469.   location = "unspecified" 

  470. } 

  471. 

  472. /* Feel free to specify as many udp_send_channels as you like.  Gmond 

  473.    used to only support having a single channel */ 

  474. udp_send_channel { 

  475.   #mcast_join = 239.2.11.71

  476.   host = master 

  477.   port = 8649 

  478.   ttl = 1 

  479. } 

  480. 

  481. /* You can specify as many udp_recv_channels as you like as well. */ 

  482. udp_recv_channel { 

  483.   #mcast_join = 239.2.11.71 

  484.   port = 8649 

  485.   #bind = 239.2.11.71 

  486. } 

  487. 

  488. /* You can specify as many tcp_accept_channels as you like to share 

  489.    an xml description of the state of the cluster */ 

  490. tcp_accept_channel { 

  491.   port = 8649 

  492. } 

  493. 

  494. /* Each metrics module that is referenced by gmond must be specified and 

  495.    loaded. If the module has been statically linked with gmond, it does not 

  496.    require a load path. However all dynamically loadable modules must include 

  497.    a load path. */ 

  498. modules { 

  499.   module { 

  500.     name = "core_metrics" 

  501.   } 

  502.   module { 

  503.     name = "cpu_module" 

  504.     path = "/usr/lib/ganglia/modcpu.so" 

  505.   } 

  506.   module { 

  507.     name = "disk_module" 

  508.     path = "/usr/lib/ganglia/moddisk.so" 

  509.   } 

  510.   module { 

  511.     name = "load_module" 

  512.     path = "/usr/lib/ganglia/modload.so" 

  513.   } 

  514.   module { 

  515.     name = "mem_module" 

  516.     path = "/usr/lib/ganglia/modmem.so" 

  517.   } 

  518.   module { 

  519.     name = "net_module" 

  520.     path = "/usr/lib/ganglia/modnet.so" 

  521.   } 

  522.   module { 

  523.     name = "proc_module" 

  524.     path = "/usr/lib/ganglia/modproc.so" 

  525.   } 

  526.   module { 

  527.     name = "sys_module" 

  528.     path = "/usr/lib/ganglia/modsys.so" 

  529.   } 

  530. } 

  531. 

  532. include ('/etc/ganglia/conf.d/*.conf') 

  533. 

  534. 

  535. /* The old internal 2.5.x metric array has been replaced by the following 

  536.    collection_group directives.  What follows is the default behavior for 

  537.    collecting and sending metrics that is as close to 2.5.x behavior as 

  538.    possible. */

  539. 

  540. /* This collection group will cause a heartbeat (or beacon) to be sent every 

  541.    20 seconds.  In the heartbeat is the GMOND_STARTED data which expresses 

  542.    the age of the running gmond. */ 

  543. collection_group { 

  544.   collect_once = yes 

  545.   time_threshold = 20 

  546.   metric { 

  547.     name = "heartbeat" 

  548.   } 

  549. } 

  550. 

  551. /* This collection group will send general info about this host every 1200 secs. 

  552.    This information doesn't change between reboots and is only collected once. */ 

  553. collection_group { 

  554.   collect_once = yes 

  555.   time_threshold = 1200 

  556.   metric { 

  557.     name = "cpu_num" 

  558.     title = "CPU Count" 

  559.   } 

  560.   metric { 

  561.     name = "cpu_speed" 

  562.     title = "CPU Speed" 

  563.   } 

  564.   metric { 

  565.     name = "mem_total" 

  566.     title = "Memory Total" 

  567.   } 

  568.   /* Should this be here? Swap can be added/removed between reboots. */ 

  569.   metric { 

  570.     name = "swap_total" 

  571.     title = "Swap Space Total" 

  572.   } 

  573.   metric { 

  574.     name = "boottime" 

  575.     title = "Last Boot Time" 

  576.   } 

  577.   metric { 

  578.     name = "machine_type" 

  579.     title = "Machine Type" 

  580.   } 

  581.   metric { 

  582.     name = "os_name" 

  583.     title = "Operating System" 

  584.   } 

  585.   metric { 

  586.     name = "os_release" 

  587.     title = "Operating System Release" 

  588.   } 

  589.   metric { 

  590.     name = "location" 

  591.     title = "Location" 

  592.   } 

  593. } 

  594. 

  595. /* This collection group will send the status of gexecd for this host every 300 secs */

  596. /* Unlike 2.5.x the default behavior is to report gexecd OFF.  */ 

  597. collection_group { 

  598.   collect_once = yes 

  599.   time_threshold = 300 

  600.   metric { 

  601.     name = "gexec" 

  602.     title = "Gexec Status" 

  603.   } 

  604. } 

  605. 

  606. /* This collection group will collect the CPU status info every 20 secs. 

  607.    The time threshold is set to 90 seconds.  In honesty, this time_threshold could be 

  608.    set significantly higher to reduce unneccessary network chatter. */ 

  609. collection_group { 

  610.   collect_every = 20 

  611.   time_threshold = 90 

  612.   /* CPU status */ 

  613.   metric { 

  614.     name = "cpu_user"  

  615.     value_threshold = "1.0" 

  616.     title = "CPU User" 

  617.   } 

  618.   metric { 

  619.     name = "cpu_system"   

  620.     value_threshold = "1.0" 

  621.     title = "CPU System" 

  622.   } 

  623.   metric { 

  624.     name = "cpu_idle"  

  625.     value_threshold = "5.0" 

  626.     title = "CPU Idle" 

  627.   } 

  628.   metric { 

  629.     name = "cpu_nice"  

  630.     value_threshold = "1.0" 

  631.     title = "CPU Nice" 

  632.   } 

  633.   metric { 

  634.     name = "cpu_aidle" 

  635.     value_threshold = "5.0" 

  636.     title = "CPU aidle" 

  637.   } 

  638.   metric { 

  639.     name = "cpu_wio" 

  640.     value_threshold = "1.0" 

  641.     title = "CPU wio" 

  642.   } 

  643.   /* The next two metrics are optional if you want more detail... 

  644.      ... since they are accounted for in cpu_system.  

  645.   metric { 

  646.     name = "cpu_intr" 

  647.     value_threshold = "1.0" 

  648.     title = "CPU intr" 

  649.   } 

  650.   metric { 

  651.     name = "cpu_sintr" 

  652.     value_threshold = "1.0" 

  653.     title = "CPU sintr" 

  654.   } 

  655.   */ 

  656. } 

  657. 

  658. collection_group { 

  659.   collect_every = 20 

  660.   time_threshold = 90 

  661.   /* Load Averages */ 

  662.   metric { 

  663.     name = "load_one" 

  664.     value_threshold = "1.0" 

  665.     title = "One Minute Load Average" 

  666.   } 

  667.   metric { 

  668.     name = "load_five" 

  669.     value_threshold = "1.0" 

  670.     title = "Five Minute Load Average" 

  671.   } 

  672.   metric { 

  673.     name = "load_fifteen" 

  674.     value_threshold = "1.0" 

  675.     title = "Fifteen Minute Load Average" 

  676.   }

  677. } 

  678. 

  679. /* This group collects the number of running and total processes */ 

  680. collection_group { 

  681.   collect_every = 80 

  682.   time_threshold = 950 

  683.   metric { 

  684.     name = "proc_run" 

  685.     value_threshold = "1.0" 

  686.     title = "Total Running Processes" 

  687.   } 

  688.   metric { 

  689.     name = "proc_total" 

  690.     value_threshold = "1.0" 

  691.     title = "Total Processes" 

  692.   } 

  693. }

  694. 

  695. /* This collection group grabs the volatile memory metrics every 40 secs and 

  696.    sends them at least every 180 secs.  This time_threshold can be increased 

  697.    significantly to reduce unneeded network traffic. */ 

  698. collection_group { 

  699.   collect_every = 40 

  700.   time_threshold = 180 

  701.   metric { 

  702.     name = "mem_free" 

  703.     value_threshold = "1024.0" 

  704.     title = "Free Memory" 

  705.   } 

  706.   metric { 

  707.     name = "mem_shared" 

  708.     value_threshold = "1024.0" 

  709.     title = "Shared Memory" 

  710.   } 

  711.   metric { 

  712.     name = "mem_buffers" 

  713.     value_threshold = "1024.0" 

  714.     title = "Memory Buffers" 

  715.   } 

  716.   metric { 

  717.     name = "mem_cached" 

  718.     value_threshold = "1024.0" 

  719.     title = "Cached Memory" 

  720.   } 

  721.   metric { 

  722.     name = "swap_free" 

  723.     value_threshold = "1024.0" 

  724.     title = "Free Swap Space" 

  725.   } 

  726. } 

  727. 

  728. collection_group { 

  729.   collect_every = 40 

  730.   time_threshold = 300 

  731.   metric { 

  732.     name = "bytes_out" 

  733.     value_threshold = 4096 

  734.     title = "Bytes Sent" 

  735.   } 

  736.   metric { 

  737.     name = "bytes_in" 

  738.     value_threshold = 4096 

  739.     title = "Bytes Received" 

  740.   } 

  741.   metric { 

  742.     name = "pkts_in" 

  743.     value_threshold = 256 

  744.     title = "Packets Received" 

  745.   } 

  746.   metric { 

  747.     name = "pkts_out" 

  748.     value_threshold = 256 

  749.     title = "Packets Sent" 

  750.   } 

  751. }

  752. 

  753. /* Different than 2.5.x default since the old config made no sense */ 

  754. collection_group { 

  755.   collect_every = 1800 

  756.   time_threshold = 3600 

  757.   metric { 

  758.     name = "disk_total" 

  759.     value_threshold = 1.0 

  760.     title = "Total Disk Space" 

  761.   } 

  762. }

  763. 

  764. collection_group { 

  765.   collect_every = 40 

  766.   time_threshold = 180 

  767.   metric { 

  768.     name = "disk_free" 

  769.     value_threshold = 1.0 

  770.     title = "Disk Space Available" 

  771.   } 

  772.   metric { 

  773.     name = "part_max_used" 

  774.     value_threshold = 1.0 

  775.     title = "Maximum Disk Space Used" 

  776.   } 

  777. }

  778.  slave-hadoop-metrics2-hbase.properties.md Raw

  779. slave节点hadoop-metrics2-hbase.properties配置

  780. 

  781. # syntax: [prefix].[source|sink].[instance].[options]

  782. # See javadoc of package-info.java for org.apache.hadoop.metrics2 for details

  783. 

  784. #*.sink.file*.class=org.apache.hadoop.metrics2.sink.FileSink

  785. # default sampling period

  786. #*.period=10

  787. 

  788. # Below are some examples of sinks that could be used

  789. # to monitor different hbase daemons.

  790. 

  791. # hbase.sink.file-all.class=org.apache.hadoop.metrics2.sink.FileSink

  792. # hbase.sink.file-all.filename=all.metrics

  793. 

  794. # hbase.sink.file0.class=org.apache.hadoop.metrics2.sink.FileSink

  795. # hbase.sink.file0.context=hmaster

  796. # hbase.sink.file0.filename=master.metrics

  797. 

  798. # hbase.sink.file1.class=org.apache.hadoop.metrics2.sink.FileSink

  799. # hbase.sink.file1.context=thrift-one

  800. # hbase.sink.file1.filename=thrift-one.metrics

  801. 

  802. # hbase.sink.file2.class=org.apache.hadoop.metrics2.sink.FileSink

  803. # hbase.sink.file2.context=thrift-two

  804. # hbase.sink.file2.filename=thrift-one.metrics

  805. 

  806. # hbase.sink.file3.class=org.apache.hadoop.metrics2.sink.FileSink

  807. # hbase.sink.file3.context=rest

  808. # hbase.sink.file3.filename=rest.metrics

  809. 

  810. 

  811. *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31  

  812. *.sink.ganglia.period=10  

  813. 

  814. hbase.sink.ganglia.period=10  

  815. hbase.sink.ganglia.servers=master:8649

  816.  slave-hadoop-metrics2.properties.md Raw

  817. slave节点hadoop-metrics2.properties配置

  818. 

  819. #

  820. #   Licensed to the Apache Software Foundation (ASF) under one or more

  821. #   contributor license agreements.  See the NOTICE file distributed with

  822. #   this work for additional information regarding copyright ownership.

  823. #   The ASF licenses this file to You under the Apache License, Version 2.0

  824. #   (the "License"); you may not use this file except in compliance with

  825. #   the License.  You may obtain a copy of the License at

  826. #

  827. #       http://www.apache.org/licenses/LICENSE-2.0

  828. #

  829. #   Unless required by applicable law or agreed to in writing, software

  830. #   distributed under the License is distributed on an "AS IS" BASIS,

  831. #   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  832. #   See the License for the specific language governing permissions and

  833. #   limitations under the License.

  834. #

  835. 

  836. # syntax: [prefix].[source|sink].[instance].[options]

  837. # See javadoc of package-info.java for org.apache.hadoop.metrics2 for details

  838. 

  839. #*.sink.file.class=org.apache.hadoop.metrics2.sink.FileSink

  840. # default sampling period, in seconds

  841. #*.period=10

  842. 

  843. # The namenode-metrics.out will contain metrics from all context

  844. #namenode.sink.file.filename=namenode-metrics.out

  845. # Specifying a special sampling period for namenode:

  846. #namenode.sink.*.period=8

  847. 

  848. #datanode.sink.file.filename=datanode-metrics.out

  849. 

  850. # the following example split metrics of different

  851. # context to different sinks (in this case files)

  852. #jobtracker.sink.file_jvm.context=jvm

  853. #jobtracker.sink.file_jvm.filename=jobtracker-jvm-metrics.out

  854. #jobtracker.sink.file_mapred.context=mapred

  855. #jobtracker.sink.file_mapred.filename=jobtracker-mapred-metrics.out

  856. 

  857. #tasktracker.sink.file.filename=tasktracker-metrics.out

  858. 

  859. #maptask.sink.file.filename=maptask-metrics.out

  860. 

  861. #reducetask.sink.file.filename=reducetask-metrics.out

  862. 

  863. *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31  

  864. *.sink.ganglia.period=10

  865. 

  866. *.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both  

  867. *.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40  

  868. 

  869. namenode.sink.ganglia.servers=master:8649  

  870. resourcemanager.sink.ganglia.servers=master:8649  

  871. 

  872. datanode.sink.ganglia.servers=master:8649    

  873. nodemanager.sink.ganglia.servers=master:8649    

  874. 

  875. 

  876. maptask.sink.ganglia.servers=master:8649    

  877. reducetask.sink.ganglia.servers=master:8649

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break-spark 发表于 2014-10-15 11:23:59
楼主，伪分布可以用吗
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pig2 发表于 2014-10-15 11:25:33
break-spark 发表于 2014-10-15 11:23
楼主，伪分布可以用吗
伪分布，也是分布的一种
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break-spark 发表于 2014-10-15 14:10:52
嗯，谢谢，知道了
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ohano_javaee 发表于 2014-10-17 20:44:57
碉堡了测试一下
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dwshmilyss 发表于 2015-1-13 14:10:21
不错，！学习学习
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tang 发表于 2015-3-10 15:55:33
太厉害了啊
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YLV 发表于 2015-3-16 16:49:16
学习学习，准备安装
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mjjian0 发表于 2015-3-18 17:39:34
我的hadoop集群启动后，ganglia也安装好了，但是 查看监控web没有发现hadoop的监控情况，这应该是什么问题啊
89D2`8%3`S9K]K)]0]25.png
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Minimumy 发表于 2015-4-10 14:42:28
这简直太棒了！！！！
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