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## What changes were proposed in this pull request? Add yarn support for GPU-aware scheduling. Since SPARK-20327 already added yarn custom resource support, this jira is really just making sure the spark resource configs get mapped into the yarn resource configs and user doesn't specify both yarn and spark config for the known types of resources (gpu and fpga are the known types on yarn). You can find more details on the design and requirements documented: https://issues.apache.org/jira/browse/SPARK-27376 Note that the running on yarn docs already state to use it, it must be yarn 3.0+. We will add any further documentation under SPARK-20327 ## How was this patch tested? Unit tests and manually testing on yarn cluster Closes #24634 from tgravescs/SPARK-27361. Authored-by: Thomas Graves <tgraves@nvidia.com> Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com> |
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