Add resource reqs to driver and executor containers… #6
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* Use images with spark pre-installed * simplify staging for client.jar * Remove some tarball-uri code. Fix kube client URI in scheduler backend. Number executors default to 1 * tweak client again, works across my testing environments * use executor.sh shim * allow configuration of service account name for driver pod * spark image as a configuration setting instead of env var * namespace from spark.kubernetes.namespace * configure client with namespace; smooths out cases when not logged in as admin * Assume a download jar to /opt/spark/kubernetes to avoid dropping protections on /opt
* Add support for dynamic executors * fill in some sane logic for doKillExecutors * doRequestTotalExecutors signals graceful executor shutdown, and favors idle executors
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This initial push contains the logic to correctly align resource requests for the containers with the spark resource settings. However, when a pod fails to schedule due to insufficient resources, it remains in Before this merges, I want to add some logic for detecting when new executors are stuck in |
… spark resource settings for cores and memory
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@erikerlandson - close this in favor of what we have on https://github.com/apache-spark-on-k8s/spark/? |
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Add resource reqs to driver and executor containers, corresponding to spark resource settings for cores and memory.