<Location /ganglia>
Order deny,allow
Allow from all
Allow from 127.0.0.1
Allow from ::1
# Allow from .example.com
</Location>
即将 Deny from all 改为 Allow from all，否则在页面访问时有权限问题。
8、启动
service gmetad start
service gmond start
/usr/sbin/apachectl start
9、从页面上访问
一些注意问题：
1、gmetad收集到的信息被放到/var/lib/ganglia/rrds/
2、可以通过以下命令检查是否有数据在传输
tcpdump port 8649
三、配置Hadoop与hbase
1、配置hadoop
hadoop-metrics2.properties
# syntax: [prefix].[source|sink|jmx].[instance].[options]
# See package.html for org.apache.hadoop.metrics2 for details
*.sink.file.class=org.apache.hadoop.metrics2.sink.FileSink
#namenode.sink.file.filename=namenode-metrics.out
#datanode.sink.file.filename=datanode-metrics.out
#jobtracker.sink.file.filename=jobtracker-metrics.out
#tasktracker.sink.file.filename=tasktracker-metrics.out
#maptask.sink.file.filename=maptask-metrics.out
#reducetask.sink.file.filename=reducetask-metrics.out
# Below are for sending metrics to Ganglia
#
# for Ganglia 3.0 support
# *.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink30
#
# for Ganglia 3.1 support
*.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31
*.sink.ganglia.period=10
# default for supportsparse is false
*.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
menode.sink.ganglia.servers=10.171.29.191:8649
datanode.sink.ganglia.servers=10.171.29.191:8649
jobtracker.sink.ganglia.servers=10.171.29.191:8649
tasktracker.sink.ganglia.servers=10.171.29.191:8649
maptask.sink.ganglia.servers=10.171.29.191:8649
reducetask.sink.ganglia.servers=10.171.29.191:8649
2、配置hbase
hadoop-metrics.properties
# See
# Make sure you know whether you are using ganglia 3.0 or 3.1.
# If 3.1, you will have to patch your hadoop instance with HADOOP-4675
# And, yes, this file is named hadoop-metrics.properties rather than
# hbase-metrics.properties because we're leveraging the hadoop metrics
# package and hadoop-metrics.properties is an hardcoded-name, at least
# for the moment.
#
# See also
# GMETADHOST_IP is the hostname (or) IP address of the server on which the ganglia
# meta daemon (gmetad) service is running
# Configuration of the "hbase" context for NullContextWithUpdateThread
# NullContextWithUpdateThread is a null context which has a thread calling
# periodically when monitoring is started. This keeps the data sampled
# correctly.
hbase.class=org.apache.hadoop.metrics.spi.NullContextWithUpdateThread
hbase.period=10
# Configuration of the "hbase" context for file
# hbase.class=org.apache.hadoop.hbase.metrics.file.TimeStampingFileContext
# hbase.fileName=/tmp/metrics_hbase.log
# HBase-specific configuration to reset long-running stats (e.g. compactions)
# If this variable is left out, then the default is no expiration.
hbase.extendedperiod = 3600
# Configuration of the "hbase" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# hbase.class=org.apache.hadoop.metrics.ganglia.GangliaContext
hbase.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
hbase.period=10
hbase.servers=10.171.29.191:8649
# Configuration of the "jvm" context for null
jvm.class=org.apache.hadoop.metrics.spi.NullContextWithUpdateThread
jvm.period=10
# Configuration of the "jvm" context for file
# jvm.class=org.apache.hadoop.hbase.metrics.file.TimeStampingFileContext
# jvm.fileName=/tmp/metrics_jvm.log
# Configuration of the "jvm" context for ganglia
# Pick one: Ganglia 3.0 (former) or Ganglia 3.1 (latter)
# jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext
jvm.class=org.apache.hadoop.metrics.ganglia.GangliaContext31
jvm.period=10
jvm.servers=10.171.29.191:8649
# Configuration of the "rpc" context for null
rpc.class=org.apache.hadoop.metrics.spi.NullContextWithUpdateThread
rpc.period=10
# Configuration of the "rpc" context for file
# rpc.class=org.apache.hadoop.hbase.metrics.file.TimeStampingFileContext
# rpc.fileName=/tmp/metrics_rpc.log