Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/13603#discussion_r67772507
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -576,6 +576,62 @@ private[spark] class TaskSetManager(
}
/**
+ * Check whether the given task set has been blacklisted to the point
that it can't run anywhere.
+ *
+ * It is possible that this taskset has become impossible to schedule
*anywhere* due to the
+ * blacklist. The most common scenario would be if there are fewer
executors than
+ * spark.task.maxFailures. We need to detect this so we can fail the
task set, otherwise the job
+ * will hang.
+ *
+ * The check here is a balance between being sure to catch the issue,
but not wasting
+ * too much time inside the scheduling loop. Just check if the last
task is schedulable
+ * on any of the available executors. So this is O(numExecutors)
worst-case, but it'll
+ * really be fast unless you've got a bunch of things blacklisted. Its
possible it won't detect
+ * the unschedulable task immediately, but if it returns false, there is
at least *some* task
+ * that is schedulable, and after scheduling all of those, we'll
eventually find the unschedulable
+ * task.
+ */
+ private[scheduler] def abortIfTaskSetCompletelyBlacklisted(
+ executorsByHost: HashMap[String, HashSet[String]]): Unit = {
+ // If no executors have registered yet, don't abort the stage, just
wait. We probably
+ // got here because a task set was added before the executors
registered.
+ if (executorsByHost.nonEmpty) {
+ // take any task that needs to be scheduled, and see if we can find
some executor it *could*
+ // run on
+ pollPendingTask.foreach { task =>
+ executorsByHost.foreach { case (host, execs) =>
+ execs.foreach { exec =>
+ if (!executorIsBlacklisted(exec, task)) {
+ return
+ }
+ }
+ }
+ abort(s"Aborting ${taskSet} because it has a task which cannot be
scheduled on any" +
--- End diff --
Can you include the task ID here?
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