org.apache.spark.deploy.worker.WorkerSource.scala Maven / Gradle / Ivy
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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,
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* See the License for the specific language governing permissions and
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package org.apache.spark.deploy.worker
import com.codahale.metrics.{Gauge, MetricRegistry}
import org.apache.spark.metrics.source.Source
private[worker] class WorkerSource(val worker: Worker) extends Source {
override val sourceName = "worker"
override val metricRegistry = new MetricRegistry()
metricRegistry.register(MetricRegistry.name("executors"), new Gauge[Int] {
override def getValue: Int = worker.executors.size
})
// Gauge for cores used of this worker
metricRegistry.register(MetricRegistry.name("coresUsed"), new Gauge[Int] {
override def getValue: Int = worker.coresUsed
})
// Gauge for memory used of this worker
metricRegistry.register(MetricRegistry.name("memUsed_MB"), new Gauge[Int] {
override def getValue: Int = worker.memoryUsed
})
// Gauge for cores free of this worker
metricRegistry.register(MetricRegistry.name("coresFree"), new Gauge[Int] {
override def getValue: Int = worker.coresFree
})
// Gauge for memory free of this worker
metricRegistry.register(MetricRegistry.name("memFree_MB"), new Gauge[Int] {
override def getValue: Int = worker.memoryFree
})
}