八、服务端的WEB配置
PHP程序需要依赖Apache来运行，因此需要安装如下依赖
# yum -y install php httpd
# service httpd start //启动httpd 服务
# yum -y install php httpd # service httpd start //启动httpd 服务九、测试安装是否成功
# vi /var/www/html/index.php
# vi /var/www/html/index.php输入：
<?php
phpinfo();
?>
<?php phpinfo(); ?>保存，然后浏览器 master/index.php
正常是看到php的信息。
#cd /home/ruifeng.shan
#wget
#tar -xf ganglia-web-3.5.10.tar.gz
#cd ganglia-web-3.5.10
#make install
#cd /home/ruifeng.shan #wget #tar -xf ganglia-web-3.5.10.tar.gz #cd ganglia-web-3.5.10 #make install这样 在/var/www/html/下 生成了 ganglia 目录
注：
Ganglia访问失败：
There was an error collecting ganglia data (127.0.0.1:8652): fsockopen error: Permission denied
解决：
需要关闭selinux：vi /etc/selinux/config，把SELINUX=enforcing改成SELINUX=disable；需要重启机器。
可以使用命令setenforce 0来关闭selinux而不需要重启，刷新页面，即可访问。但此方法只是一权宜之计。要想永久修改selinux设置，还是要使用第一种方法。
重启httpd服务器即可看到效果
#service httpd restart
#service httpd restart使用查看对应的ganglia信息。（注：master为运行gmetad的主机的hostname）
Hadoop和HBase社区一直使用它作为监控集群的业界标准方案。在maste上安装gmetad，在master、node、slave上安装gmond。为了监控Hadoop和HBase，需要对它们做一些配置。这里Hadoop使用的是2.2.0版本，HBase使用的是0.96.0这个版本。这里监控的分布式集群也是文章《Ubuntu和CentOS中分布式配置Hadoop-2.2.0》 和《CentOS分布式环境安装HBase-0.96.0》 中布置的hadoop和hbase。
为了能让ganglia监控hadoop，Hadoop2.2.0需要配置hadoop-2.2.0/etc/hadoop/目录下的hadoop-metrics.properties和hadoop-metrics2.properties文件。其中，hadoop-metrics.properties配置如下：
# Configuration of the "dfs" context for null
dfs.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "dfs" context for file
#dfs.class=org.apache.hadoop.metrics.file.FileContext
#dfs.period=10
#dfs.fileName=/tmp/dfsmetrics.log
# Configuration of the "dfs" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# dfs.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# dfs.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# dfs.period=10
# dfs.servers=localhost:8649
# Configuration of the "mapred" context for null
mapred.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "mapred" context for file
#mapred.class=org.apache.hadoop.metrics.file.FileContext
#mapred.period=10
#mapred.fileName=/tmp/mrmetrics.log
# Configuration of the "mapred" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# mapred.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# mapred.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# mapred.period=10
# mapred.servers=localhost:8649
# Configuration of the "jvm" context for null
#jvm.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "jvm" context for file
#jvm.class=org.apache.hadoop.metrics.file.FileContext
#jvm.period=10
#jvm.fileName=/tmp/jvmmetrics.log
# Configuration of the "jvm" context for ganglia
# jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# jvm.period=10
# jvm.servers=localhost:8649
# Configuration of the "rpc" context for null
rpc.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "rpc" context for file
#rpc.class=org.apache.hadoop.metrics.file.FileContext
#rpc.period=10
#rpc.fileName=/tmp/rpcmetrics.log
# Configuration of the "rpc" context for ganglia
# rpc.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# rpc.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# rpc.period=10
# rpc.servers=localhost:8649
# Configuration of the "ugi" context for null
ugi.class=org.apache.hadoop.metrics.spi.NullContext
# Configuration of the "ugi" context for file
#ugi.class=org.apache.hadoop.metrics.file.FileContext
#ugi.period=10
#ugi.fileName=/tmp/ugimetrics.log
# Configuration of the "ugi" context for ganglia
# ugi.class=org.apache.hadoop.metrics.ganglia.GangliaContext
# ugi.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
# ugi.period=10
# ugi.servers=localhost:8649
# Configuration of the "dfs" context for null dfs.class=org.apache.hadoop.metrics.spi.NullContext # Configuration of the "dfs" context for file #dfs.class=org.apache.hadoop.metrics.file.FileContext #dfs.period=10 #dfs.fileName=/tmp/dfsmetrics.log # Configuration of the "dfs" context for ganglia # Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter) # dfs.class=org.apache.hadoop.metrics.ganglia.GangliaContext # dfs.class=org.apache.hadoop.metrics.ganglia.GangliaContext31 # dfs.period=10 # dfs.servers=localhost:8649 # Configuration of the "mapred" context for null mapred.class=org.apache.hadoop.metrics.spi.NullContext # Configuration of the "mapred" context for file #mapred.class=org.apache.hadoop.metrics.file.FileContext #mapred.period=10 #mapred.fileName=/tmp/mrmetrics.log # Configuration of the "mapred" context for ganglia # Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter) # mapred.class=org.apache.hadoop.metrics.ganglia.GangliaContext # mapred.class=org.apache.hadoop.metrics.ganglia.GangliaContext31 # mapred.period=10 # mapred.servers=localhost:8649 # Configuration of the "jvm" context for null #jvm.class=org.apache.hadoop.metrics.spi.NullContext # Configuration of the "jvm" context for file #jvm.class=org.apache.hadoop.metrics.file.FileContext #jvm.period=10 #jvm.fileName=/tmp/jvmmetrics.log # Configuration of the "jvm" context for ganglia # jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext # jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext31 # jvm.period=10 # jvm.servers=localhost:8649 # Configuration of the "rpc" context for null rpc.class=org.apache.hadoop.metrics.spi.NullContext # Configuration of the "rpc" context for file #rpc.class=org.apache.hadoop.metrics.file.FileContext #rpc.period=10 #rpc.fileName=/tmp/rpcmetrics.log # Configuration of the "rpc" context for ganglia # rpc.class=org.apache.hadoop.metrics.ganglia.GangliaContext # rpc.class=org.apache.hadoop.metrics.ganglia.GangliaContext31 # rpc.period=10 # rpc.servers=localhost:8649 # Configuration of the "ugi" context for null ugi.class=org.apache.hadoop.metrics.spi.NullContext # Configuration of the "ugi" context for file #ugi.class=org.apache.hadoop.metrics.file.FileContext #ugi.period=10 #ugi.fileName=/tmp/ugimetrics.log # Configuration of the "ugi" context for ganglia # ugi.class=org.apache.hadoop.metrics.ganglia.GangliaContext # ugi.class=org.apache.hadoop.metrics.ganglia.GangliaContext31 # ugi.period=10 # ugi.servers=localhost:8649hadoop-metrics2.properties文件配置如下：
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
#
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# syntax: [prefix].[source|sink].[instance].[options]
# See javadoc of package-info.java for org.apache.hadoop.metrics2 for details
##############一定要注释掉原来的这块，否则会监控不到#########
#*.sink.file.class=org.apache.hadoop.metrics2.sink.FileSink
# default sampling period, in seconds
#*.period=10
#############################################################
# The namenode-metrics.out will contain metrics from all context
#namenode.sink.file.filename=namenode-metrics.out
# Specifying a special sampling period for namenode:
#namenode.sink.*.period=8
#datanode.sink.file.filename=datanode-metrics.out
# the following example split metrics of different
# context to different sinks (in this case files)
#jobtracker.sink.file_jvm.context=jvm
#jobtracker.sink.file_jvm.filename=jobtracker-jvm-metrics.out
#jobtracker.sink.file_mapred.context=mapred
#jobtracker.sink.file_mapred.filename=jobtracker-mapred-metrics.out
#tasktracker.sink.file.filename=tasktracker-metrics.out
#maptask.sink.file.filename=maptask-metrics.out
#reducetask.sink.file.filename=reducetask-metrics.out
*.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31
*.sink.ganglia.period=10
*.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both
*.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40
namenode.sink.ganglia.servers=master:8649
resourcemanager.sink.ganglia.servers=master:8649
datanode.sink.ganglia.servers=master:8649
nodemanager.sink.ganglia.servers=master:8649
maptask.sink.ganglia.servers=master:8649
reducetask.sink.ganglia.servers=master:8649
# # 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 # # # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # syntax: [prefix].[source|sink].[instance].[options] # See javadoc of package-info.java for org.apache.hadoop.metrics2 for details ##############一定要注释掉原来的这块，否则会监控不到######### #*.sink.file.class=org.apache.hadoop.metrics2.sink.FileSink # default sampling period, in seconds #*.period=10 ############################################################# # The namenode-metrics.out will contain metrics from all context #namenode.sink.file.filename=namenode-metrics.out # Specifying a special sampling period for namenode: #namenode.sink.*.period=8 #datanode.sink.file.filename=datanode-metrics.out # the following example split metrics of different # context to different sinks (in this case files) #jobtracker.sink.file_jvm.context=jvm #jobtracker.sink.file_jvm.filename=jobtracker-jvm-metrics.out #jobtracker.sink.file_mapred.context=mapred #jobtracker.sink.file_mapred.filename=jobtracker-mapred-metrics.out #tasktracker.sink.file.filename=tasktracker-metrics.out #maptask.sink.file.filename=maptask-metrics.out #reducetask.sink.file.filename=reducetask-metrics.out *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31 *.sink.ganglia.period=10 *.sink.ganglia.slope=jvm.metrics.gcCount=zero,jvm.metrics.memHeapUsedM=both *.sink.ganglia.dmax=jvm.metrics.threadsBlocked=70,jvm.metrics.memHeapUsedM=40 namenode.sink.ganglia.servers=master:8649 resourcemanager.sink.ganglia.servers=master:8649 datanode.sink.ganglia.servers=master:8649 nodemanager.sink.ganglia.servers=master:8649 maptask.sink.ganglia.servers=master:8649 reducetask.sink.ganglia.servers=master:8649为了让ganglia监控hbase，需要配置hbase-0.96.0目录下的conf目录中的hadoop-metrics2-hbase.properties文件。内容如下：
# syntax: [prefix].[source|sink].[instance].[options]
# See javadoc of package-info.java for org.apache.hadoop.metrics2 for details
##############一定要注释掉原来的这块，否则会监控不到#########
#*.sink.file*.class=org.apache.hadoop.metrics2.sink.FileSink
# default sampling period
#*.period=10
#############################################################
# Below are some examples of sinks that could be used
# to monitor different hbase daemons.
# hbase.sink.file-all.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file-all.filename=all.metrics
# hbase.sink.file0.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file0.context=hmaster
# hbase.sink.file0.filename=master.metrics
# hbase.sink.file1.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file1.context=thrift-one
# hbase.sink.file1.filename=thrift-one.metrics
# hbase.sink.file2.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file2.context=thrift-two
# hbase.sink.file2.filename=thrift-one.metrics
# hbase.sink.file3.class=org.apache.hadoop.metrics2.sink.FileSink
# hbase.sink.file3.context=rest
# hbase.sink.file3.filename=rest.metrics
*.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31
*.sink.ganglia.period=10
hbase.sink.ganglia.period=10
hbase.sink.ganglia.servers=master:8649
HBase 的详细介绍：请点这里
HBase 的下载地址：请点这里
相关阅读：
HBase 结点之间时间不一致造成regionserver启动失败
# syntax: [prefix].[source|sink].[instance].[options] # See javadoc of package-info.java for org.apache.hadoop.metrics2 for details ##############一定要注释掉原来的这块，否则会监控不到######### #*.sink.file*.class=org.apache.hadoop.metrics2.sink.FileSink # default sampling period #*.period=10 ############################################################# # Below are some examples of sinks that could be used # to monitor different hbase daemons. # hbase.sink.file-all.class=org.apache.hadoop.metrics2.sink.FileSink # hbase.sink.file-all.filename=all.metrics # hbase.sink.file0.class=org.apache.hadoop.metrics2.sink.FileSink # hbase.sink.file0.context=hmaster # hbase.sink.file0.filename=master.metrics # hbase.sink.file1.class=org.apache.hadoop.metrics2.sink.FileSink # hbase.sink.file1.context=thrift-one # hbase.sink.file1.filename=thrift-one.metrics # hbase.sink.file2.class=org.apache.hadoop.metrics2.sink.FileSink # hbase.sink.file2.context=thrift-two # hbase.sink.file2.filename=thrift-one.metrics # hbase.sink.file3.class=org.apache.hadoop.metrics2.sink.FileSink # hbase.sink.file3.context=rest # hbase.sink.file3.filename=rest.metrics *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31 *.sink.ganglia.period=10 hbase.sink.ganglia.period=10 hbase.sink.ganglia.servers=master:8649更多CentOS相关信息见CentOS 专题页面 ?tid=14