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metrics.properties.template
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metrics.properties.template
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# 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 wildcard "*" 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. Wildcard 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 common sources and their properties.
# org.apache.spark.metrics.source.JvmSource
# Note: Currently, JvmSource is the only available common source
# to add additionaly to an instance, to enable this,
# set the "class" option to its fully qulified class name (see examples below)
## List of available sinks and their properties.
# org.apache.spark.metrics.sink.ConsoleSink
# Name: Default: Description:
# period 10 Poll period
# unit seconds Units of poll period
# org.apache.spark.metrics.sink.CSVSink
# Name: Default: Description:
# period 10 Poll period
# unit seconds Units 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)
# period 10 Poll period
# unit seconds Units of poll period
# ttl 1 TTL of messages sent by Ganglia
# mode multicast Ganglia network mode ('unicast' or 'multicast')
# org.apache.spark.metrics.sink.JmxSink
# org.apache.spark.metrics.sink.MetricsServlet
# Name: Default: Description:
# path VARIES* Path prefix from the web server root
# sample false 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/applications/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
# period 10 Poll period
# unit seconds Units of poll period
# prefix EMPTY STRING Prefix to prepend to metric name
# protocol tcp Protocol ("tcp" or "udp") to use
## 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
#*.sink.csv.directory=/tmp/
# Worker instance overlap polling period
#worker.sink.csv.period=10
#worker.sink.csv.unit=minutes
# Enable Slf4jSink for all instances by class name
#*.sink.slf4j.class=org.apache.spark.metrics.sink.Slf4jSink
# Polling period for Slf4JSink
#*.sink.slf4j.period=1
#*.sink.slf4j.unit=minutes
# Enable jvm source for instance master, worker, driver and executor
#master.source.jvm.class=org.apache.spark.metrics.source.JvmSource
#worker.source.jvm.class=org.apache.spark.metrics.source.JvmSource
#driver.source.jvm.class=org.apache.spark.metrics.source.JvmSource
#executor.source.jvm.class=org.apache.spark.metrics.source.JvmSource