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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.scheduler
import java.io.{ObjectInputStream, ObjectOutputStream, IOException}
import org.apache.spark.TaskContext
/**
* A Task implementation that fails to serialize.
*/
private[spark] class NotSerializableFakeTask(myId: Int, stageId: Int) extends Task[Array[Byte]](stageId, 0) {
override def runTask(context: TaskContext): Array[Byte] = Array.empty[Byte]
override def preferredLocations: Seq[TaskLocation] = Seq[TaskLocation]()
@throws(classOf[IOException])
private def writeObject(out: ObjectOutputStream): Unit = {
if (stageId == 0) {
throw new IllegalStateException("Cannot serialize")
}
}
@throws(classOf[IOException])
private def readObject(in: ObjectInputStream): Unit = {}
}
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