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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 spark.scheduler.cluster
import java.nio.ByteBuffer
import spark.util.SerializableBuffer
private[spark] class TaskDescription(
val taskId: Long,
val executorId: String,
val name: String,
val index: Int, // Index within this task's TaskSet
_serializedTask: ByteBuffer)
extends Serializable {
// Because ByteBuffers are not serializable, wrap the task in a SerializableBuffer
private val buffer = new SerializableBuffer(_serializedTask)
def serializedTask: ByteBuffer = buffer.value
override def toString: String = "TaskDescription(TID=%d, index=%d)".format(taskId, index)
}
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