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Spark development environment for kubernetes, spark-submit and jupyter notebook

Python 64.18% Dockerfile 7.18% Jupyter Notebook 24.33% Shell 4.31%

spark-dev-env-docker's Introduction

Local Spark Dev Env with Docker

Development environment for kubernetes, spark-submit and jupyter notebook

Using a kubernetes image build to be ready for Azure Data Lake Storage Gen2 and Delta Lake.

You can create your own spark image from source, the tutorial is inside build-spark-image-from-source

Options

You can choose to do your development on an interactive notebook with jupyter lab, run your script with spark-submit or submit your job to a local Kubernetes.

  • With spark submit cd spark-submit-env

    • Use the tutorial inside spark-submit-dev
  • With Jupyter Lab cd jupyspark-env

    • Use the tutorial inside jupyspark-env
  • With Kubernetes cluster cd k8s

    • Use the tutorial inside k8s

spark-dev-env-docker's People

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