setup-and-run-example

To run a Spark job on a local Kubernetes cluster, you need to set up a Minikube environment, install the Spark and Quanton Operators, and execute the job through the operator for successful demonstration and validation.

The Quanton Operator is used in Kubernetes to manage and execute Spark jobs. Installing it alongside the Spark Operator on your cluster enables automated job execution, progress monitoring, and result validation for your data processing tasks.

Minikube is used to create the local Kubernetes cluster required to install the Spark and Quanton Operators. You can use any local Kubernetes environment, but Minikube provides the guided setup needed to run the example Quanton Spark job.

You validate your Spark and Quanton Operator setup by running an example Quanton Spark job. Monitoring the job's progress and checking the output results confirms that your local Kubernetes environment and operator installations are configured correctly.

Setting up a Quanton Spark environment involves starting a local Kubernetes cluster with Minikube, installing the required Spark and Quanton Operators, and triggering an example job execution to ensure the entire environment is functioning properly.

Running a Quanton Spark job requires a Kubernetes cluster to host the Spark and Quanton Operators. The setup process uses Minikube to provision this local cluster environment, which is necessary for installing the operators and executing the demonstration job.