Shay Elbaz created SPARK-41449: ---------------------------------- 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. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org