spark AbstractPodsAllocator 源码
spark AbstractPodsAllocator 代码
文件路径：/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/scheduler/cluster/k8s/AbstractPodsAllocator.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 io.fabric8.kubernetes.api.model.Pod
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.resource.ResourceProfile
/**
* :: DeveloperApi ::
* A abstract interface for allowing different types of pods allocation.
*
* The internal Spark implementations are [[StatefulSetPodsAllocator]]
* and [[ExecutorPodsAllocator]]. This may be useful for folks integrating with custom schedulers.
*
* This API may change or be removed at anytime.
*
* @since 3.3.0
*/
@DeveloperApi
abstract class AbstractPodsAllocator {
/*
* Set the total expected executors for an application
*/
def setTotalExpectedExecutors(resourceProfileToTotalExecs: Map[ResourceProfile, Int]): Unit
/*
* Reference to driver pod.
*/
def driverPod: Option[Pod]
/*
* If the pod for a given exec id is deleted.
*/
def isDeleted(executorId: String): Boolean
/*
* Start hook.
*/
def start(applicationId: String, schedulerBackend: KubernetesClusterSchedulerBackend): Unit
/*
* Stop hook
*/
def stop(applicationId: String): Unit
}
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