[jira] [Created] (SPARK-41449) Stage level scheduling, allow to change number of executors

["Shay Elbaz (Jira)" <ji...@apache.org>]

Shay Elbaz created SPARK-41449:
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             Summary: Stage level scheduling, allow to change number of executors
                 Key: SPARK-41449
                 URL: https://issues.apache.org/jira/browse/SPARK-41449
             Project: Spark
          Issue Type: Improvement
          Components: Scheduler
    Affects Versions: 3.3.1, 3.3.0
            Reporter: Shay Elbaz


Since the (max) number of executor is constant throughout the application - in dynamic or static allocation - there is loose control over how much GPUs will be requested from the resource manager. 

For example, if an application needs 500 executors for the ETL part (with N cores each), but it needs - *or allowed -* only 50 GPUs for the DL part, in practice it will request at least 500 GPUs from the RM, since `spark.executor.instances` is set to 500. This leads to resource management challenges in multi tenant environments.

A quick workaround is to repartition the RDD to 50 partitions, but it has obvious downsides. 

It would be very helpful if the total/max number of executors could be also configured in the Resource Profile.



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