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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._
import scala.collection.mutable.Map
import org.apache.spark.executor.TaskMetrics
import org.apache.spark.{Utils, SparkEnv}
import java.nio.ByteBuffer
// Task result. Also contains updates to accumulator variables.
// TODO: Use of distributed cache to return result is a hack to get around
// what seems to be a bug with messages over 60KB in libprocess; fix it
private[spark]
class TaskResult[T](var value: T, var accumUpdates: Map[Long, Any], var metrics: TaskMetrics)
extends Externalizable
{
def this() = this(null.asInstanceOf[T], null, null)
override def writeExternal(out: ObjectOutput) {
val objectSer = SparkEnv.get.serializer.newInstance()
val bb = objectSer.serialize(value)
out.writeInt(bb.remaining())
Utils.writeByteBuffer(bb, out)
out.writeInt(accumUpdates.size)
for ((key, value) <- accumUpdates) {
out.writeLong(key)
out.writeObject(value)
}
out.writeObject(metrics)
}
override def readExternal(in: ObjectInput) {
val objectSer = SparkEnv.get.serializer.newInstance()
val blen = in.readInt()
val byteVal = new Array[Byte](blen)
in.readFully(byteVal)
value = objectSer.deserialize(ByteBuffer.wrap(byteVal))
val numUpdates = in.readInt
if (numUpdates == 0) {
accumUpdates = null
} else {
accumUpdates = Map()
for (i <- 0 until numUpdates) {
accumUpdates(in.readLong()) = in.readObject()
}
}
metrics = in.readObject().asInstanceOf[TaskMetrics]
}
}
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