A simple setup for a local development envrironment using Spark and S3. The repository provides
a set of container images with all the required libraries and configuration, as well as a a docker-compose file
to deploy the environment.
The scripts create a Spark standalone cluster with a Hive metastore and localstack as a mock S3 service. Furthermore, the Spark Master UI is exposed and configured as proxy to access running applications.
# start up environment
docker-compose up --build -d
# run a test script
docker-compose exec spark-edge bash
spark-submit src/test-spark.py
# clean up environment (including volumes)
docker-compose down -v