spark ExecutorDecommissionInfo 源码

  • 2022-10-20
  • 浏览 (335)

spark ExecutorDecommissionInfo 代码

文件路径:/core/src/main/scala/org/apache/spark/scheduler/ExecutorDecommissionInfo.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

/**
 * Message providing more detail when an executor is being decommissioned.
 * @param message Human readable reason for why the decommissioning is happening.
 * @param workerHost When workerHost is defined, it means the host (aka the `node` or `worker`
 *                in other places) has been decommissioned too. Used to infer if the
 *                shuffle data might be lost even if the external shuffle service is enabled.
 */
private[spark]
case class ExecutorDecommissionInfo(message: String, workerHost: Option[String] = None)

/**
 * State related to decommissioning that is kept by the TaskSchedulerImpl. This state is derived
 * from the info message above but it is kept distinct to allow the state to evolve independently
 * from the message.
 */
private[scheduler] case class ExecutorDecommissionState(
    // Timestamp the decommissioning commenced as per the Driver's clock,
    // to estimate when the executor might eventually be lost if EXECUTOR_DECOMMISSION_KILL_INTERVAL
    // is configured.
    startTime: Long,
    workerHost: Option[String] = None)

相关信息

spark 源码目录

相关文章

spark AccumulableInfo 源码

spark ActiveJob 源码

spark AsyncEventQueue 源码

spark BarrierJobAllocationFailed 源码

spark DAGScheduler 源码

spark DAGSchedulerEvent 源码

spark DAGSchedulerSource 源码

spark EventLoggingListener 源码

spark ExecutorFailuresInTaskSet 源码

spark ExecutorLossReason 源码

0  赞