Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/3204#discussion_r20389206
--- Diff:
core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala ---
@@ -28,7 +28,8 @@ import org.apache.spark.scheduler._
* the scheduler queue is not drained in N seconds, then new executors are
added. If the queue
* persists for another M seconds, then more executors are added and so
on. The number added
* in each round increases exponentially from the previous round until an
upper bound on the
- * number of executors has been reached.
+ * number of executors has been reached. The upper bound is based both on
a configured property
+ * and on the number of tasks pending.
--- End diff --
This is unclear. We should add that the latter means we don't need more
executors than the number of pending tasks.
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