Github user aarondav commented on a diff in the pull request: https://github.com/apache/spark/pull/1452#discussion_r15137230 --- Diff: core/src/main/scala/org/apache/spark/scheduler/ResultTask.scala --- @@ -17,134 +17,68 @@ package org.apache.spark.scheduler -import scala.language.existentials +import java.nio.ByteBuffer import java.io._ -import java.util.zip.{GZIPInputStream, GZIPOutputStream} - -import scala.collection.mutable.HashMap import org.apache.spark._ -import org.apache.spark.rdd.{RDD, RDDCheckpointData} - -private[spark] object ResultTask { - - // A simple map between the stage id to the serialized byte array of a task. - // Served as a cache for task serialization because serialization can be - // expensive on the master node if it needs to launch thousands of tasks. - private val serializedInfoCache = new HashMap[Int, Array[Byte]] - - def serializeInfo(stageId: Int, rdd: RDD[_], func: (TaskContext, Iterator[_]) => _): Array[Byte] = - { - synchronized { - val old = serializedInfoCache.get(stageId).orNull - if (old != null) { - old - } else { - val out = new ByteArrayOutputStream - val ser = SparkEnv.get.closureSerializer.newInstance() - val objOut = ser.serializeStream(new GZIPOutputStream(out)) - objOut.writeObject(rdd) - objOut.writeObject(func) - objOut.close() - val bytes = out.toByteArray - serializedInfoCache.put(stageId, bytes) - bytes - } - } - } - - def deserializeInfo(stageId: Int, bytes: Array[Byte]): (RDD[_], (TaskContext, Iterator[_]) => _) = - { - val in = new GZIPInputStream(new ByteArrayInputStream(bytes)) - val ser = SparkEnv.get.closureSerializer.newInstance() - val objIn = ser.deserializeStream(in) - val rdd = objIn.readObject().asInstanceOf[RDD[_]] - val func = objIn.readObject().asInstanceOf[(TaskContext, Iterator[_]) => _] - (rdd, func) - } - - def removeStage(stageId: Int) { - serializedInfoCache.remove(stageId) - } - - def clearCache() { - synchronized { - serializedInfoCache.clear() - } - } -} - +import org.apache.spark.broadcast.Broadcast +import org.apache.spark.rdd.RDD /** * A task that sends back the output to the driver application. * - * See [[org.apache.spark.scheduler.Task]] for more information. + * See [[Task]] for more information. * * @param stageId id of the stage this task belongs to - * @param rdd input to func + * @param rddBinary broadcast version of of the serialized RDD --- End diff -- also past tense -- broadcasted
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