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package spark.scheduler.cluster
import spark.Utils
/**
* Information about a running task attempt inside a TaskSet.
*/
private[spark]
class TaskInfo(
val taskId: Long,
val index: Int,
val launchTime: Long,
val executorId: String,
val hostPort: String,
val taskLocality: TaskLocality.TaskLocality) {
Utils.checkHostPort(hostPort, "Expected hostport")
var finishTime: Long = 0
var failed = false
def markSuccessful(time: Long = System.currentTimeMillis) {
finishTime = time
}
def markFailed(time: Long = System.currentTimeMillis) {
finishTime = time
failed = true
}
def finished: Boolean = finishTime != 0
def successful: Boolean = finished && !failed
def running: Boolean = !finished
def duration: Long = {
if (!finished) {
throw new UnsupportedOperationException("duration() called on unfinished tasks")
} else {
finishTime - launchTime
}
}
def timeRunning(currentTime: Long): Long = currentTime - launchTime
}
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