Github user mccheah commented on a diff in the pull request:
https://github.com/apache/spark/pull/21366#discussion_r195512430
--- Diff:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/ExecutorPodsAllocator.scala
---
@@ -0,0 +1,141 @@
+/*
+ * 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.concurrent.atomic.{AtomicInteger, AtomicLong}
+
+import io.fabric8.kubernetes.api.model.PodBuilder
+import io.fabric8.kubernetes.client.KubernetesClient
+import scala.collection.mutable
+
+import org.apache.spark.{SparkConf, SparkException}
+import org.apache.spark.deploy.k8s.Config._
+import org.apache.spark.deploy.k8s.Constants._
+import org.apache.spark.deploy.k8s.KubernetesConf
+import org.apache.spark.internal.Logging
+import org.apache.spark.util.{Clock, Utils}
+
+private[spark] class ExecutorPodsAllocator(
+ conf: SparkConf,
+ executorBuilder: KubernetesExecutorBuilder,
+ kubernetesClient: KubernetesClient,
+ snapshotsStore: ExecutorPodsSnapshotsStore,
+ clock: Clock) extends Logging {
+
+ private val EXECUTOR_ID_COUNTER = new AtomicLong(0L)
+
+ private val totalExpectedExecutors = new AtomicInteger(0)
+
+ private val podAllocationSize =
conf.get(KUBERNETES_ALLOCATION_BATCH_SIZE)
+
+ private val podAllocationDelay =
conf.get(KUBERNETES_ALLOCATION_BATCH_DELAY)
+
+ private val podCreationTimeout = math.max(podAllocationDelay * 5, 60000)
+
+ private val kubernetesDriverPodName = conf
+ .get(KUBERNETES_DRIVER_POD_NAME)
+ .getOrElse(throw new SparkException("Must specify the driver pod
name"))
+
+ private val driverPod = kubernetesClient.pods()
+ .withName(kubernetesDriverPodName)
+ .get()
+
+ // Executor IDs that have been requested from Kubernetes but have not
been detected in any
+ // snapshot yet. Mapped to the timestamp when they were created.
+ private val newlyCreatedExecutors = mutable.Map.empty[Long, Long]
+
+ def start(applicationId: String): Unit = {
+ snapshotsStore.addSubscriber(podAllocationDelay) {
+ onNewSnapshots(applicationId, _)
+ }
+ }
+
+ def setTotalExpectedExecutors(total: Int): Unit =
totalExpectedExecutors.set(total)
+
+ private def onNewSnapshots(applicationId: String, snapshots:
Seq[ExecutorPodsSnapshot]): Unit = {
+ newlyCreatedExecutors --= snapshots.flatMap(_.executorPods.keys)
+ // For all executors we've created against the API but have not seen
in a snapshot
+ // yet - check the current time. If the current time has exceeded some
threshold,
+ // assume that the pod was either never created (the API server never
properly
+ // handled the creation request), or the API server created the pod
but we missed
+ // both the creation and deletion events. In either case, delete the
missing pod
+ // if possible, and mark such a pod to be rescheduled below.
+ newlyCreatedExecutors.foreach { case (execId, timeCreated) =>
+ if (clock.getTimeMillis() - timeCreated > podCreationTimeout) {
+ logWarning(s"Executor with id $execId was not detected in the
Kubernetes" +
+ s" cluster after $podCreationTimeout milliseconds despite the
fact that a" +
+ " previous allocation attempt tried to create it. The executor
may have been" +
+ " deleted but the application missed the deletion event.")
+ Utils.tryLogNonFatalError {
+ kubernetesClient
+ .pods()
+ .withLabel(SPARK_EXECUTOR_ID_LABEL, execId.toString)
+ .delete()
--- End diff --
That's handled by the lifecycle manager already, because the lifecycle
manager looks at what the scheduler backend believes are its executors and
reconciles them with what's in the snapshot.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
