ganglia cdh 配置

hbase

# for Ganglia 3.7
*.sink.ganglia.class=org.apache.hadoop.metrics2.sink.ganglia.GangliaSink31  
*.sink.ganglia.period=10  
hbase.sink.ganglia.period=10  
hbase.sink.ganglia.servers=239.2.11.71:8649

hadoop

# for Ganglia 3.7
*.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  
namenode.sink.ganglia.servers=239.2.11.71:8649  
resourcemanager.sink.ganglia.servers=239.2.11.7102:8649  
datanode.sink.ganglia.servers=239.2.11.71:8649   
nodemanager.sink.ganglia.servers=239.2.11.71:8649 
maptask.sink.ganglia.servers=239.2.11.71:8649   
reducetask.sink.ganglia.servers=239.2.11.71:8649

spark

       <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-ganglia-lgpl_2.10</artifactId>
            <version>1.6.1</version>
        </dependency>

    *.sink.ganglia.class=org.apache.spark.metrics.sink.GangliaSink 
    *.sink.ganglia.host=239.2.11.71
    *.sink.ganglia.port=5080
    *.sink.ganglia.period=10 
    *.sink.ganglia.unit=seconds 
    *.sink.ganglia.ttl=1 
    *.sink.ganglia.mode=multicast