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package spark.scheduler.cluster
import spark.TaskState.TaskState
import java.nio.ByteBuffer
import spark.util.SerializableBuffer
private[spark] sealed trait StandaloneClusterMessage extends Serializable
// Driver to executors
private[spark]
case class LaunchTask(task: TaskDescription) extends StandaloneClusterMessage
private[spark]
case class RegisteredExecutor(sparkProperties: Seq[(String, String)])
extends StandaloneClusterMessage
private[spark]
case class RegisterExecutorFailed(message: String) extends StandaloneClusterMessage
// Executors to driver
private[spark]
case class RegisterExecutor(executorId: String, host: String, cores: Int)
extends StandaloneClusterMessage
private[spark]
case class StatusUpdate(executorId: String, taskId: Long, state: TaskState, data: SerializableBuffer)
extends StandaloneClusterMessage
private[spark]
object StatusUpdate {
/** Alternate factory method that takes a ByteBuffer directly for the data field */
def apply(executorId: String, taskId: Long, state: TaskState, data: ByteBuffer): StatusUpdate = {
StatusUpdate(executorId, taskId, state, new SerializableBuffer(data))
}
}
// Internal messages in driver
private[spark] case object ReviveOffers extends StandaloneClusterMessage
private[spark] case object StopDriver extends StandaloneClusterMessage
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