Big data configuration
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spark_conf/metrics.properties.template
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spark_conf/metrics.properties.template
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# syntax: [instance].sink|source.[name].[options]=[value]
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# This file configures Spark's internal metrics system. The metrics system is
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# divided into instances which correspond to internal components.
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# Each instance can be configured to report its metrics to one or more sinks.
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# Accepted values for [instance] are "master", "worker", "executor", "driver",
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# and "applications". A wildcard "*" can be used as an instance name, in
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# which case all instances will inherit the supplied property.
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#
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# Within an instance, a "source" specifies a particular set of grouped metrics.
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# there are two kinds of sources:
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# 1. Spark internal sources, like MasterSource, WorkerSource, etc, which will
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# collect a Spark component's internal state. Each instance is paired with a
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# Spark source that is added automatically.
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# 2. Common sources, like JvmSource, which will collect low level state.
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# These can be added through configuration options and are then loaded
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# using reflection.
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#
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# A "sink" specifies where metrics are delivered to. Each instance can be
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# assigned one or more sinks.
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#
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# The sink|source field specifies whether the property relates to a sink or
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# source.
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#
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# The [name] field specifies the name of source or sink.
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#
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# The [options] field is the specific property of this source or sink. The
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# source or sink is responsible for parsing this property.
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#
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# Notes:
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# 1. To add a new sink, set the "class" option to a fully qualified class
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# name (see examples below).
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# 2. Some sinks involve a polling period. The minimum allowed polling period
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# is 1 second.
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# 3. Wildcard properties can be overridden by more specific properties.
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# For example, master.sink.console.period takes precedence over
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# *.sink.console.period.
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# 4. A metrics specific configuration
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# "spark.metrics.conf=${SPARK_HOME}/conf/metrics.properties" should be
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# added to Java properties using -Dspark.metrics.conf=xxx if you want to
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# customize metrics system. You can also put the file in ${SPARK_HOME}/conf
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# and it will be loaded automatically.
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# 5. The MetricsServlet sink is added by default as a sink in the master,
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# worker and driver, and you can send HTTP requests to the "/metrics/json"
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# endpoint to get a snapshot of all the registered metrics in JSON format.
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# For master, requests to the "/metrics/master/json" and
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# "/metrics/applications/json" endpoints can be sent separately to get
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# metrics snapshots of the master instance and applications. This
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# MetricsServlet does not have to be configured.
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# 6. The metrics system can also be configured using Spark configuration
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# parameters. The relevant parameter names are formed by adding the
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# prefix "spark.metrics.conf." to the configuration entries detailed in
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# this file (see examples below).
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## List of available common sources and their properties.
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# org.apache.spark.metrics.source.JvmSource
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# Note: Currently, JvmSource is the only available common source.
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# It can be added to an instance by setting the "class" option to its
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# fully qualified class name (see examples below).
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## List of available sinks and their properties.
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# org.apache.spark.metrics.sink.ConsoleSink
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# Name: Default: Description:
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# period 10 Poll period
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# unit seconds Unit of the poll period
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# org.apache.spark.metrics.sink.CSVSink
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# Name: Default: Description:
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# period 10 Poll period
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# unit seconds Unit of the poll period
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# directory /tmp Where to store CSV files
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# org.apache.spark.metrics.sink.GangliaSink
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# Name: Default: Description:
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# host NONE Hostname or multicast group of the Ganglia server,
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# must be set
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# port NONE Port of the Ganglia server(s), must be set
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# period 10 Poll period
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# unit seconds Unit of the poll period
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# ttl 1 TTL of messages sent by Ganglia
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# dmax 0 Lifetime in seconds of metrics (0 never expired)
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# mode multicast Ganglia network mode ('unicast' or 'multicast')
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# org.apache.spark.metrics.sink.JmxSink
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# org.apache.spark.metrics.sink.MetricsServlet
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# Name: Default: Description:
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# path VARIES* Path prefix from the web server root
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# sample false Whether to show entire set of samples for histograms
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# ('false' or 'true')
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#
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# * Default path is /metrics/json for all instances except the master. The
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# master has two paths:
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# /metrics/applications/json # App information
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# /metrics/master/json # Master information
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# org.apache.spark.metrics.sink.PrometheusServlet
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# Name: Default: Description:
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# path VARIES* Path prefix from the web server root
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#
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# * Default path is /metrics/prometheus for all instances except the master. The
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# master has two paths:
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# /metrics/applications/prometheus # App information
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# /metrics/master/prometheus # Master information
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# org.apache.spark.metrics.sink.GraphiteSink
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# Name: Default: Description:
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# host NONE Hostname of the Graphite server, must be set
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# port NONE Port of the Graphite server, must be set
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# period 10 Poll period
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# unit seconds Unit of the poll period
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# prefix EMPTY STRING Prefix to prepend to every metric's name
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# protocol tcp Protocol ("tcp" or "udp") to use
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# regex NONE Optional filter to send only metrics matching this regex string
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# org.apache.spark.metrics.sink.StatsdSink
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# Name: Default: Description:
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# host 127.0.0.1 Hostname or IP of StatsD server
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# port 8125 Port of StatsD server
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# period 10 Poll period
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# unit seconds Units of poll period
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# prefix EMPTY STRING Prefix to prepend to metric name
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## Examples
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# Enable JmxSink for all instances by class name
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#*.sink.jmx.class=org.apache.spark.metrics.sink.JmxSink
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# Enable ConsoleSink for all instances by class name
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#*.sink.console.class=org.apache.spark.metrics.sink.ConsoleSink
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# Enable StatsdSink for all instances by class name
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#*.sink.statsd.class=org.apache.spark.metrics.sink.StatsdSink
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#*.sink.statsd.prefix=spark
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# Polling period for the ConsoleSink
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#*.sink.console.period=10
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# Unit of the polling period for the ConsoleSink
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#*.sink.console.unit=seconds
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# Polling period for the ConsoleSink specific for the master instance
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#master.sink.console.period=15
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# Unit of the polling period for the ConsoleSink specific for the master
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# instance
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#master.sink.console.unit=seconds
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# Enable CsvSink for all instances by class name
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#*.sink.csv.class=org.apache.spark.metrics.sink.CsvSink
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# Polling period for the CsvSink
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#*.sink.csv.period=1
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# Unit of the polling period for the CsvSink
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#*.sink.csv.unit=minutes
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# Polling directory for CsvSink
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#*.sink.csv.directory=/tmp/
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# Polling period for the CsvSink specific for the worker instance
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#worker.sink.csv.period=10
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# Unit of the polling period for the CsvSink specific for the worker instance
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#worker.sink.csv.unit=minutes
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# Enable Slf4jSink for all instances by class name
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#*.sink.slf4j.class=org.apache.spark.metrics.sink.Slf4jSink
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# Polling period for the Slf4JSink
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#*.sink.slf4j.period=1
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# Unit of the polling period for the Slf4jSink
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#*.sink.slf4j.unit=minutes
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# Example configuration for Graphite sink
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#*.sink.graphite.class=org.apache.spark.metrics.sink.GraphiteSink
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#*.sink.graphite.host=<graphiteEndPoint_hostName>
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#*.sink.graphite.port=<listening_port>
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#*.sink.graphite.period=10
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#*.sink.graphite.unit=seconds
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#*.sink.graphite.prefix=<optional_value>
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# Enable JvmSource for instance master, worker, driver and executor
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#master.source.jvm.class=org.apache.spark.metrics.source.JvmSource
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#worker.source.jvm.class=org.apache.spark.metrics.source.JvmSource
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#driver.source.jvm.class=org.apache.spark.metrics.source.JvmSource
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#executor.source.jvm.class=org.apache.spark.metrics.source.JvmSource
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# Example configuration for PrometheusServlet
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#*.sink.prometheusServlet.class=org.apache.spark.metrics.sink.PrometheusServlet
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#*.sink.prometheusServlet.path=/metrics/prometheus
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#master.sink.prometheusServlet.path=/metrics/master/prometheus
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#applications.sink.prometheusServlet.path=/metrics/applications/prometheus
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