blob: 3cc6a86345fd195828b999f7b33b7c9c31e7d111 (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
|
package spark.scheduler
import scala.collection.mutable.ArrayBuffer
/**
* An object that waits for a DAGScheduler job to complete. As tasks finish, it passes their
* results to the given handler function.
*/
private[spark] class JobWaiter[T](totalTasks: Int, resultHandler: (Int, T) => Unit)
extends JobListener {
private var finishedTasks = 0
private var jobFinished = false // Is the job as a whole finished (succeeded or failed)?
private var jobResult: JobResult = null // If the job is finished, this will be its result
override def taskSucceeded(index: Int, result: Any) {
synchronized {
if (jobFinished) {
throw new UnsupportedOperationException("taskSucceeded() called on a finished JobWaiter")
}
resultHandler(index, result.asInstanceOf[T])
finishedTasks += 1
if (finishedTasks == totalTasks) {
jobFinished = true
jobResult = JobSucceeded
this.notifyAll()
}
}
}
override def jobFailed(exception: Exception) {
synchronized {
if (jobFinished) {
throw new UnsupportedOperationException("jobFailed() called on a finished JobWaiter")
}
jobFinished = true
jobResult = JobFailed(exception)
this.notifyAll()
}
}
def awaitResult(): JobResult = synchronized {
while (!jobFinished) {
this.wait()
}
return jobResult
}
}
|
