Skip to content
Permalink
Branch: master
Find file Copy path
194 lines (166 sloc) 8.16 KB
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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: [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. The MetricsServlet sink is added by default as a sink in the master,
# worker and driver, and you can send HTTP requests to the "/metrics/json"
# endpoint to get a snapshot of all the registered metrics in JSON format.
# For master, requests to the "/metrics/master/json" and
# "/metrics/applications/json" endpoints can be sent separately to get
# metrics snapshots of the master instance and applications. This
# MetricsServlet does not have to be configured.
# 6. The metrics system can also be configured using Spark configuration
# parameters. The relevant parameter names are formed by adding the
# prefix "spark.metrics.conf." to the configuration entries detailed in
# this file (see examples below).
## List of available common sources and their properties.
# org.apache.spark.metrics.source.JvmSource
# Note: Currently, JvmSource is the only available common source.
# It can be added to an instance by setting the "class" option to its
# fully qualified 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 Unit of the poll period
# org.apache.spark.metrics.sink.CSVSink
# Name: Default: Description:
# period 10 Poll period
# unit seconds Unit of the 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 the Ganglia server,
# must be set
# port NONE Port of the Ganglia server(s), must be set
# period 10 Poll period
# unit seconds Unit of the poll period
# ttl 1 TTL of messages sent by Ganglia
# dmax 0 Lifetime in seconds of metrics (0 never expired)
# 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 the Graphite server, must be set
# port NONE Port of the Graphite server, must be set
# period 10 Poll period
# unit seconds Unit of the poll period
# prefix EMPTY STRING Prefix to prepend to every metric's name
# protocol tcp Protocol ("tcp" or "udp") to use
# org.apache.spark.metrics.sink.StatsdSink
# Name: Default: Description:
# host 127.0.0.1 Hostname or IP of StatsD server
# port 8125 Port of StatsD server
# period 10 Poll period
# unit seconds Units of poll period
# prefix EMPTY 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
# Enable StatsdSink for all instances by class name
#*.sink.statsd.class=org.apache.spark.metrics.sink.StatsdSink
#*.sink.statsd.prefix=spark
# Polling period for the ConsoleSink
#*.sink.console.period=10
# Unit of the polling period for the ConsoleSink
#*.sink.console.unit=seconds
# Polling period for the ConsoleSink specific for the master instance
#master.sink.console.period=15
# Unit of the polling period for the ConsoleSink specific for the master
# instance
#master.sink.console.unit=seconds
# Enable CsvSink for all instances by class name
#*.sink.csv.class=org.apache.spark.metrics.sink.CsvSink
# Polling period for the CsvSink
#*.sink.csv.period=1
# Unit of the polling period for the CsvSink
#*.sink.csv.unit=minutes
# Polling directory for CsvSink
#*.sink.csv.directory=/tmp/
# Polling period for the CsvSink specific for the worker instance
#worker.sink.csv.period=10
# Unit of the polling period for the CsvSink specific for the worker instance
#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 the Slf4JSink
#*.sink.slf4j.period=1
# Unit of the polling period for the Slf4jSink
#*.sink.slf4j.unit=minutes
# Example configuration for Graphite sink
#*.sink.graphite.class=org.apache.spark.metrics.sink.GraphiteSink
#*.sink.graphite.host=<graphiteEndPoint_hostName>
#*.sink.graphite.port=<listening_port>
#*.sink.graphite.period=10
#*.sink.graphite.unit=seconds
#*.sink.graphite.prefix=<optional_value>
# Enable JvmSource 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
You can’t perform that action at this time.