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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