This is a docker compose environment to quickly get up and running with a Spark environment and a local Iceberg catalog. It uses a postgres database as a JDBC catalog.
note: If you don't have docker installed, you can head over to the Get Docker page for installation instructions.
First, start up the spark-iceberg and postgres container by running:
docker-compose up
Next, run any of the following commands, depending on which shell you prefer to use:
docker exec -it spark-iceberg spark-shell
docker exec -it spark-iceberg spark-sql
docker exec -it spark-iceberg pyspark
docker exec -it spark-iceberg notebook
To stop the service, just run docker-compose down.
To reset the catalog and data, remove the postgres and warehouse directories.
docker-compose down && docker-compose kill && rm -rf ./postgres && rm -rf ./warehouseThe prebuilt spark image is uploaded to Dockerhub. Out of convenience, the image tag defaults to latest.
If you have an older version of the image, you might need to remove it to upgrade.
docker image rm tabulario/spark-iceberg && docker-compose pullFor more information on getting started with using Iceberg, checkout the Getting Started guide in the official docs.