Github user ilganeli commented on a diff in the pull request:
https://github.com/apache/spark/pull/5277#discussion_r27443344
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -1394,28 +1396,37 @@ class SparkContext(config: SparkConf) extends
Logging with ExecutorAllocationCli
/** Shut down the SparkContext. */
def stop() {
- SparkContext.SPARK_CONTEXT_CONSTRUCTOR_LOCK.synchronized {
- if (!stopped) {
- stopped = true
- postApplicationEnd()
- ui.foreach(_.stop())
- env.metricsSystem.report()
- metadataCleaner.cancel()
- cleaner.foreach(_.stop())
- dagScheduler.stop()
- dagScheduler = null
- listenerBus.stop()
- eventLogger.foreach(_.stop())
- env.actorSystem.stop(heartbeatReceiver)
- progressBar.foreach(_.stop())
- taskScheduler = null
- // TODO: Cache.stop()?
- env.stop()
- SparkEnv.set(null)
- logInfo("Successfully stopped SparkContext")
- SparkContext.clearActiveContext()
- } else {
- logInfo("SparkContext already stopped")
+ // The shutdown logic can create a deadlock scenario when an external
thread triggers an
+ // error in the handling of which it shuts down the SparkContext.
Meanwhile, this thread
+ // will wait for the external thread to join during the
"dagScheduler.stop()" while that
+ // thread waits on the SPARK_CONTEXT_CONSTRUCTOR_LOCK. We avoid this
by surrounding this
+ // logic in a try catch.
+ while (!stopped) {
+ if (SparkContext.shutdownLock.tryLock(10, TimeUnit.SECONDS)) {
--- End diff --
I'll add that in.
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