Hereâs an image of Lens with my local cluster. tada working Kubernetes without all the fan-fare (pardon the pun). minikube config set cpu minikube config set memory .if you like you can also define the resources for the minikube image before you start it up. What Docker does, instead, is to run a virtual machine on top of Hyper-V Windows or HyperKit on Mac OS. brew install hyperkit brew install minikube minikube start. The Executors information: number of instances, cores, memory, etc. hyperkits memory usage to drop back to 12 GB.The Driver pod information: cores, memory and service account.The main class to be invoked and which is available in the application jar.A location of the application jar within this Docker image.Preparing Kubernetes v1.22.1 on Docker 20.10.8. It specify the base image to use for running Spark containers gcr.io/spark-operator/spark:v2.4.5 preloaded-images-k8s-v12-v1.: 515.04 MiB / 515.04 MiB 100.00 61.30 Mi Creating hyperkit VM (CPUs2, Memory4000MB, Disk20000MB).This file describes a SparkApplication object, which is obviously not a core Kubernetes object but one that the previously installed Spark Operator know how to interepret. To make sure the infrastructure is setup correctly, we can submit a sample Spark pi applications defined in the following spark-pi.yaml file. With minikube dashboard you can check the objects created in both namespaces spark-operator and spark-apps. $ helm status sparkoperator -n spark-operator
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