spark YarnScheduler 源码
spark YarnScheduler 代码
文件路径:/resource-managers/yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnScheduler.scala
/*
* 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
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package org.apache.spark.scheduler.cluster
import org.apache.hadoop.net.NetworkTopology
import org.apache.spark._
import org.apache.spark.deploy.yarn.SparkRackResolver
import org.apache.spark.scheduler.TaskSchedulerImpl
import org.apache.spark.util.Utils
private[spark] class YarnScheduler(sc: SparkContext) extends TaskSchedulerImpl(sc) {
override val defaultRackValue: Option[String] = Some(NetworkTopology.DEFAULT_RACK)
private[spark] val resolver = SparkRackResolver.get(sc.hadoopConfiguration)
override def getRacksForHosts(hostPorts: Seq[String]): Seq[Option[String]] = {
val hosts = hostPorts.map(Utils.parseHostPort(_)._1)
resolver.resolve(hosts).map { node =>
Option(node.getNetworkLocation)
}
}
}
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