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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 org.apache.spark.util.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 host: String,
val taskLocality: TaskLocality.TaskLocality) {
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 status: String = {
if (running)
"RUNNING"
else if (failed)
"FAILED"
else if (successful)
"SUCCESS"
else
"UNKNOWN"
}
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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