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/*
* 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.shuffle
import org.apache.spark.{FetchFailed, TaskContext, TaskFailedReason}
import org.apache.spark.storage.BlockManagerId
import org.apache.spark.util.Utils
/**
* Failed to fetch a shuffle block. The executor catches this exception and propagates it
* back to DAGScheduler (through TaskEndReason) so we'd resubmit the previous stage.
*
* Note that bmAddress can be null.
*
* To prevent user code from hiding this fetch failure, in the constructor we call
* [[TaskContext.setFetchFailed()]]. This means that you *must* throw this exception immediately
* after creating it -- you cannot create it, check some condition, and then decide to ignore it
* (or risk triggering any other exceptions). See SPARK-19276.
*/
private[spark] class FetchFailedException(
bmAddress: BlockManagerId,
shuffleId: Int,
mapId: Long,
mapIndex: Int,
reduceId: Int,
message: String,
cause: Throwable = null)
extends Exception(message, cause) {
def this(
bmAddress: BlockManagerId,
shuffleId: Int,
mapTaskId: Long,
mapIndex: Int,
reduceId: Int,
cause: Throwable) = {
this(bmAddress, shuffleId, mapTaskId, mapIndex, reduceId, cause.getMessage, cause)
}
// SPARK-19276. We set the fetch failure in the task context, so that even if there is user-code
// which intercepts this exception (possibly wrapping it), the Executor can still tell there was
// a fetch failure, and send the correct error msg back to the driver. We wrap with an Option
// because the TaskContext is not defined in some test cases.
Option(TaskContext.get()).map(_.setFetchFailed(this))
def toTaskFailedReason: TaskFailedReason = FetchFailed(
bmAddress, shuffleId, mapId, mapIndex, reduceId, Utils.exceptionString(this))
}
/**
* Failed to get shuffle metadata from [[org.apache.spark.MapOutputTracker]].
*/
private[spark] class MetadataFetchFailedException(
shuffleId: Int,
reduceId: Int,
message: String)
extends FetchFailedException(null, shuffleId, -1L, -1, reduceId, message)
