spark ExecutorPodsSnapshot 源码

spark ExecutorPodsSnapshot 代码

文件路径：/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsSnapshot.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.scheduler.cluster.k8s

import java.util.Locale

import scala.collection.JavaConverters._

import io.fabric8.kubernetes.api.model.ContainerStateTerminated
import io.fabric8.kubernetes.api.model.Pod

import org.apache.spark.deploy.k8s.Constants._
import org.apache.spark.internal.Logging

/**
 * An immutable view of the current executor pods that are running in the cluster.
 */
private[spark] case class ExecutorPodsSnapshot(
    executorPods: Map[Long, ExecutorPodState],
    fullSnapshotTs: Long) {

  import ExecutorPodsSnapshot._

  def withUpdate(updatedPod: Pod): ExecutorPodsSnapshot = {
    val newExecutorPods = executorPods ++ toStatesByExecutorId(Seq(updatedPod))
    new ExecutorPodsSnapshot(newExecutorPods, fullSnapshotTs)
  }
}

object ExecutorPodsSnapshot extends Logging {
  private var shouldCheckAllContainers: Boolean = _
  private var sparkContainerName: String = DEFAULT_EXECUTOR_CONTAINER_NAME

  def apply(executorPods: Seq[Pod], fullSnapshotTs: Long): ExecutorPodsSnapshot = {
    ExecutorPodsSnapshot(toStatesByExecutorId(executorPods), fullSnapshotTs)
  }

  def apply(): ExecutorPodsSnapshot = ExecutorPodsSnapshot(Map.empty[Long, ExecutorPodState], 0)

  def setShouldCheckAllContainers(watchAllContainers: Boolean): Unit = {
    shouldCheckAllContainers = watchAllContainers
  }

  def setSparkContainerName(containerName: String): Unit = {
    sparkContainerName = containerName
  }

  private def toStatesByExecutorId(executorPods: Seq[Pod]): Map[Long, ExecutorPodState] = {
    executorPods.flatMap { pod =>
      pod.getMetadata.getLabels.get(SPARK_EXECUTOR_ID_LABEL) match {
        case "EXECID" | null =>
          // The exec label has not yet been assigned
          None
        case id =>
          // We have a "real" id label
          Some((id.toLong, toState(pod)))
      }
    }.toMap
  }

  private def toState(pod: Pod): ExecutorPodState = {
    if (isDeleted(pod)) {
      PodDeleted(pod)
    } else {
      val phase = pod.getStatus.getPhase.toLowerCase(Locale.ROOT)
      phase match {
        case "pending" =>
          PodPending(pod)
        case "running" =>
          // If we're checking all containers look for any non-zero exits
          if (shouldCheckAllContainers &&
            "Never" == pod.getSpec.getRestartPolicy &&
            pod.getStatus.getContainerStatuses.stream
              .map[ContainerStateTerminated](cs => cs.getState.getTerminated)
              .anyMatch(t => t != null && t.getExitCode != 0)) {
            PodFailed(pod)
          } else {
            // Otherwise look for the Spark container and get the exit code if present.
            val sparkContainerExitCode = pod.getStatus.getContainerStatuses.asScala
              .find(_.getName() == sparkContainerName).flatMap(x => Option(x.getState))
              .flatMap(x => Option(x.getTerminated)).flatMap(x => Option(x.getExitCode))
              .map(_.toInt)
            sparkContainerExitCode match {
              case Some(t) =>
                t match {
                  case 0 =>
                    PodSucceeded(pod)
                  case _ =>
                    PodFailed(pod)
                }
              // No exit code means we are running.
              case _ =>
                PodRunning(pod)
            }
          }
        case "failed" =>
          PodFailed(pod)
        case "succeeded" =>
          PodSucceeded(pod)
        case "terminating" =>
          PodTerminating(pod)
        case _ =>
          logWarning(s"Received unknown phase $phase for executor pod with name" +
            s" ${pod.getMetadata.getName} in namespace ${pod.getMetadata.getNamespace}")
          PodUnknown(pod)
      }
    }
  }

  private def isDeleted(pod: Pod): Boolean = {
    (pod.getMetadata.getDeletionTimestamp != null &&
      (
        pod.getStatus == null ||
        pod.getStatus.getPhase == null ||
          (pod.getStatus.getPhase.toLowerCase(Locale.ROOT) != "terminating" &&
           pod.getStatus.getPhase.toLowerCase(Locale.ROOT) != "running")
      ))
  }
}

相关信息

spark 源码目录

相关文章

spark AbstractPodsAllocator 源码

spark ExecutorPodStates 源码

spark ExecutorPodsAllocator 源码

spark ExecutorPodsLifecycleManager 源码

spark ExecutorPodsPollingSnapshotSource 源码

spark ExecutorPodsSnapshotsStore 源码

spark ExecutorPodsSnapshotsStoreImpl 源码

spark ExecutorPodsWatchSnapshotSource 源码

spark ExecutorRollPlugin 源码

spark KubernetesClusterManager 源码