You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/03/09 15:41:36 UTC

[GitHub] [spark] tgravescs commented on a change in pull request #27773: [SPARK-29154][CORE] Update Spark scheduler for stage level scheduling

tgravescs commented on a change in pull request #27773: [SPARK-29154][CORE] Update Spark scheduler for stage level scheduling
URL: https://github.com/apache/spark/pull/27773#discussion_r389775909
 
 

 ##########
 File path: core/src/main/scala/org/apache/spark/SparkContext.scala
 ##########
 @@ -1617,13 +1617,17 @@ class SparkContext(config: SparkConf) extends Logging {
   }
 
   /**
-   * Get the max number of tasks that can be concurrent launched currently.
+   * Get the max number of tasks that can be concurrent launched based on the ResourceProfile
+   * being used.
    * Note that please don't cache the value returned by this method, because the number can change
    * due to add/remove executors.
    *
+   * @param rp ResourceProfile which to use to calculate max concurrent tasks.
    * @return The max number of tasks that can be concurrent launched currently.
    */
-  private[spark] def maxNumConcurrentTasks(): Int = schedulerBackend.maxNumConcurrentTasks()
+  private[spark] def maxNumConcurrentTasks(rp: ResourceProfile): Int = {
 
 Review comment:
   its a private function  and I think caller should be aware of it, or at least thought about it making sure they aren't using another profile. The caller can simply get the default profile to pass in.

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org