Hello Folks,
Sorry for the delay, these emails got missed due to the volume.
Here is my metrics.conf
root@jobs-ab-hdn4:~# cat /opt/klout/spark/conf/metrics.conf
# syntax: [instance].sink|source.[name].[options]=[value]
# This file configures Spark's internal metrics system. The metrics system
is
# divided into instances which correspond to internal components.
# Each instance can be configured to report its metrics to one or more
sinks.
# Accepted values for [instance] are "master", "worker", "executor",
"driver",
# and "applications". A wild card "*" can be used as an instance name, in
# which case all instances will inherit the supplied property.
#
# Within an instance, a "source" specifies a particular set of grouped
metrics.
# there are two kinds of sources:
#1. Spark internal sources, like MasterSource, WorkerSource, etc, which
will
#collect a Spark component's internal state. Each instance is paired
with a
#Spark source that is added automatically.
#2. Common sources, like JvmSource, which will collect low level state.
#These can be added through configuration options and are then loaded
#using reflection.
#
# A "sink" specifies where metrics are delivered to. Each instance can be
# assigned one or more sinks.
#
# The sink|source field specifies whether the property relates to a sink or
# source.
#
# The [name] field specifies the name of source or sink.
#
# The [options] field is the specific property of this source or sink. The
# source or sink is responsible for parsing this property.
#
# Notes:
#1. To add a new sink, set the "class" option to a fully qualified class
#name (see examples below).
#2. Some sinks involve a polling period. The minimum allowed polling
period
#is 1 second.
#3. Wild card properties can be overridden by more specific properties.
#For example, master.sink.console.period takes precedence over
#*.sink.console.period.
#4. A metrics specific configuration
#"spark.metrics.conf=${SPARK_HOME}/conf/metrics.properties" should be
#added to Java properties using -Dspark.metrics.conf=xxx if you want to
#customize metrics system. You can also put the file in
${SPARK_HOME}/conf
#and it will be loaded automatically.
#5. MetricsServlet is added by default as a sink in master, worker and
client
#driver, you can send http request "/metrics/json" to get a snapshot of
all the
#registered metrics in json format. For master, requests
"/metrics/master/json" and
#"/metrics/applications/json" can be sent seperately to get metrics
snapshot of
#instance master and applications. MetricsServlet may not be configured
by self.
#
## List of available sinks and their properties.
# org.apache.spark.metrics.sink.ConsoleSink
# Name: Default: Description:
# period 10 Poll period
# unitsecondsUnits of poll period
# org.apache.spark.metrics.sink.CSVSink
# Name: Default: Description:
# period10 Poll period
# unit secondsUnits of poll period
# directory /tmp Where to store CSV files
# org.apache.spark.metrics.sink.GangliaSink
# Name: Default: Description:
# host NONE Hostname or multicast group of Ganglia server
# port NONE Port of Ganglia server(s)
# period10 Poll period
# unit secondsUnits of poll period
# ttl 1 TTL of messages sent by Ganglia
# mode multicast Ganglia network mode ('unicast' or 'mulitcast')
#org.apache.spark.metrics.sink.JmxSink
# org.apache.spark.metrics.sink.MetricsServlet
# Name: Default: Description:
# path VARIES*Path prefix from the web server root
# samplefalse Whether to show entire set of samples for
histograms ('false' or 'true')
#
# * Default path is /metrics/json for all instances except the master. The
master has two paths:
# /metrics/aplications/json # App information
# /metrics/master/json # Master information
# org.apache.spark.metrics.sink.GraphiteSink
# Name: Default: Description:
# host NONE Hostname of Graphite server
# port NONE Port of Graphite server
# period10Poll period
# unit seconds Units of poll period
# prefixEMPTY STRING Prefix to prepend to metric name
## Examples
# Enable JmxSink for all instances by class name
*.sink.jmx.class=org.apache.spark.metrics.sink.JmxSink
# Enable ConsoleSink for all instances by class name
#*.sink.console.class=org.apache.spark.metrics.sink.ConsoleSink
# Polling period for ConsoleSink
#*.sink.console.period=10
#*.sink.console.unit=seconds
# Master instance overlap polling period
#master.sink.console.period=15
#master.sink.console.unit=seconds
# Enable CsvSink for all instances
#*.sink.csv.class=org.apache.spark.metrics.sink.CsvSink
# Polling period for CsvSink
#*.sink.csv.period=1
#*.sink.csv.unit=minutes
# Polling directory for CsvSink
