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							- #
 
- # 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.
 
- ## 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
 
- ## 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 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
 
- # 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
 
 
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