[ https://issues.apache.org/jira/browse/SPARK-32661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17223727#comment-17223727 ]
Apache Spark commented on SPARK-32661: -------------------------------------- User 'tgravescs' has created a pull request for this issue: https://github.com/apache/spark/pull/30204 > Spark executors on K8S do not request extra memory for off-heap allocations > --------------------------------------------------------------------------- > > Key: SPARK-32661 > URL: https://issues.apache.org/jira/browse/SPARK-32661 > Project: Spark > Issue Type: Sub-task > Components: Kubernetes > Affects Versions: 3.0.0, 3.0.1, 3.1.0 > Reporter: Luca Canali > Priority: Minor > > Off-heap memory allocations are configured using > `spark.memory.offHeap.enabled=true` and `conf > spark.memory.offHeap.size=<size>`. Spark on YARN adds the off-heap memory > size to the executor container resources. Spark on Kubernetes does not > request the allocation of the off-heap memory. Currently, this can be worked > around by using spark.executor.memoryOverhead to reserve memory for off-heap > allocations. This proposes make Spark on Kubernetes behave as in the case of > YARN, that is adding spark.memory.offHeap.size to the memory request for > executor containers. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org