Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/541#discussion_r11976049
--- Diff: core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
---
@@ -110,13 +110,35 @@ private[spark] class PythonRDD[T: ClassTag](
}
}.start()
+ // Necessary to distinguish between a task that has failed and a task
that is finished
+ @volatile var success: Boolean = false
+
+ // It is necessary to have a monitor thread for python workers if the
user cancel's with
+ // interrupts disabled. In that case we will need to explicitly kill
the worker, otherwise the
+ // threads can block indefinetly.
+ new Thread(s"Worker Monitor for $pythonExec") {
+ override def run() {
+ // Kill the worker if it is interrupted or completed
+ // When a python task completes, the context is always set to
interupted
+ while (!context.interrupted) {
+ Thread.sleep(2000)
+ }
+ if (!success) {
+ Try(env.destroyPythonWorker(pythonExec, envVars.toMap))
--- End diff --
Shouldn't we print something if destroying it fails? Is it possible that it
crashed by itself? I would log something here saying "success was false, we're
going to try to kill this worker"
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