kunihito / bigkube

Minikube for big data with Scala and Spark

Bigkube - effortless Spark applications deployment and testing in minikube.

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Bigkube is about big data and Spark local development automation - automated deployments, well fitted components, integration testing with SBT right from IDE console.

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Prerequisites

1. Install Docker
2. Install Minikube
3. Get Helm
4. Get Scala and SBT
5. Make sure SBT version is not less than 1.2.8 and there's Scala 2.11 sdk is set for the project

Before deployment

1. Make sure minikube has --cpus=4 --memory=8192 flags set. Make sure the appropriate vm-driver is set (use minikube config set).
2. Run sbt assembly repo's base dir.

Deployment steps

1. cd deployment - DON'T SKIP THIS
2. ./bigkube.sh --serve-jar - read output instructions carefully, ensure jar serving host ip is substituted according instructions
3. ./bigkube.sh --create - creates all necessary infrastructure. Troubleshooting: don't worry if some pods are "red" right after deployment. All Hadoop deployments are smart enough to wait for each other to be stand by in appropriate sequence. Just give them some time.
4. ./bigkube.sh --spark-init - inits Helm (with Tiller) and Spark operator.

Note: bigkube.sh resolves all service accounts issues, secrets, config maps and etc.

Run integration tests

1. Write your own integration test using SparkController. Examples provided.
2. Simply run sbt it:test from repo's base dir - and that's it, your Spark app is deployed into minikube and tests are executed locally on your host machine.

GUI

1. minikube dashboard
2. Run minikube services list. You can go to namenode and presto UI with corresponding URLs.
3. One can use Metabase, an open source tool for rapid access data. Works with Presto and SQLServer as well.

Delete deployments

Alongside with kubectl delete -f file.yaml you can use:

1. ./bigkube.sh --delete - deletes all bigkube infrastructure
2. ./bigkube.sh --spark-drop - deletes helmed spark operator

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Airflow inside of the bigkube with custom Spark Operator

1. cd deployment
2. You need just run ./bigkube.sh --airflow-init and all necessary airflow staff should be up and running
3. minikube service airflow will open your browser with Airflow UI

For more details, please visit this repository Airflow

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Acknowledgments

Thanks to Nick Grigoriev for the idea and help. Thanks to Big Data Europe for Hadoop Docker images. Thanks to Valeira Katalnikova for Bigkube logo.