Alexander Yerenkow created SPARK-43496:
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Summary: Have a separate config for Memory limits for kubernetes
pods
Key: SPARK-43496
URL: https://issues.apache.org/jira/browse/SPARK-43496
Project: Spark
Issue Type: Improvement
Components: Kubernetes
Affects Versions: 3.4.0
Reporter: Alexander Yerenkow
Whole allocated memory to JVM is set into pod resources as both request and
limits.
This means there's not a way to use more memory for burst-like jobs in a shared
environment.
For example, if spark job uses external process (outside of JVM) to access
data, a bit of extra memory required for that, and having configured higher
limits for mem could be of use.
Another thought here - have a way to configure different JVM/ pod memory
request also could be a valid use case.
Github PR: [https://github.com/apache/spark/pull/41067]
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