spark SparkRackResolver 源码

spark SparkRackResolver 代码

文件路径：/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/SparkRackResolver.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
 * limitations under the License.
 */

package org.apache.spark.deploy.yarn

import scala.collection.JavaConverters._
import scala.collection.mutable.ArrayBuffer

import com.google.common.base.Strings
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.CommonConfigurationKeysPublic
import org.apache.hadoop.net._
import org.apache.hadoop.util.ReflectionUtils
import org.apache.hadoop.yarn.util.RackResolver
import org.apache.logging.log4j.{Level, LogManager}
import org.apache.logging.log4j.core.Logger

import org.apache.spark.internal.Logging

/**
 * Re-implement YARN's [[RackResolver]] for hadoop releases without YARN-9332.
 * This also allows Spark tests to easily override the default behavior, since YARN's class
 * self-initializes the first time it's called, and future calls all use the initial configuration.
 */
private[spark] class SparkRackResolver(conf: Configuration) extends Logging {

  // RackResolver logs an INFO message whenever it resolves a rack, which is way too often.
  val logger = LogManager.getLogger(classOf[RackResolver])
  if (logger.getLevel != Level.WARN) {
    logger.asInstanceOf[Logger].setLevel(Level.WARN)
  }

  private val dnsToSwitchMapping: DNSToSwitchMapping = {
    val dnsToSwitchMappingClass =
      conf.getClass(CommonConfigurationKeysPublic.NET_TOPOLOGY_NODE_SWITCH_MAPPING_IMPL_KEY,
        classOf[ScriptBasedMapping], classOf[DNSToSwitchMapping])
    ReflectionUtils.newInstance(dnsToSwitchMappingClass, conf)
        .asInstanceOf[DNSToSwitchMapping] match {
      case c: CachedDNSToSwitchMapping => c
      case o => new CachedDNSToSwitchMapping(o)
    }
  }

  def resolve(hostName: String): String = {
    coreResolve(Seq(hostName)).head.getNetworkLocation
  }

  /**
   * Added in SPARK-13704.
   * This should be changed to `RackResolver.resolve(conf, hostNames)`
   * in hadoop releases with YARN-9332.
   */
  def resolve(hostNames: Seq[String]): Seq[Node] = {
    coreResolve(hostNames)
  }

  private def coreResolve(hostNames: Seq[String]): Seq[Node] = {
    if (hostNames.isEmpty) {
      return Seq.empty
    }
    val nodes = new ArrayBuffer[Node]
    // dnsToSwitchMapping is thread-safe
    val rNameList = dnsToSwitchMapping.resolve(hostNames.toList.asJava).asScala
    if (rNameList == null || rNameList.isEmpty) {
      hostNames.foreach(nodes += new NodeBase(_, NetworkTopology.DEFAULT_RACK))
      logInfo(s"Got an error when resolving hostNames. " +
        s"Falling back to ${NetworkTopology.DEFAULT_RACK} for all")
    } else {
      for ((hostName, rName) <- hostNames.zip(rNameList)) {
        if (Strings.isNullOrEmpty(rName)) {
          nodes += new NodeBase(hostName, NetworkTopology.DEFAULT_RACK)
          logDebug(s"Could not resolve $hostName. " +
            s"Falling back to ${NetworkTopology.DEFAULT_RACK}")
        } else {
          nodes += new NodeBase(hostName, rName)
        }
      }
    }
    nodes.toList
  }
}

/**
 * Utility to resolve the rack for hosts in an efficient manner.
 * It will cache the rack for individual hosts to avoid
 * repeatedly performing the same expensive lookup.
 */
object SparkRackResolver extends Logging {
  @volatile private var instance: SparkRackResolver = _

  /**
   * It will return the static resolver instance.  If there is already an instance, the passed
   * conf is entirely ignored.  If there is not a shared instance, it will create one with the
   * given conf.
   */
  def get(conf: Configuration): SparkRackResolver = {
    if (instance == null) {
      synchronized {
        if (instance == null) {
          instance = new SparkRackResolver(conf)
        }
      }
    }
    instance
  }

}

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