spark ExecutorDecommissionInfo 源码
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)
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