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Add getting started docker compose for Jupyter with Spark(#295)
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# Getting Started with Apache Spark and Apache Polaris | ||
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This getting started guide provides a `docker-compose` file to set up [Apache Spark](https://spark.apache.org/) with Apache Polaris. Apache Polaris is configured as an Iceberg REST Catalog in Spark. | ||
A Jupyter notebook is used to run PySpark. | ||
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## Run the `docker-compose` file | ||
To start the `docker-compose` file, run this command from the repo's root directory: | ||
``` | ||
docker-compose -f getting-started/spark/docker-compose.yml up | ||
``` | ||
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This will spin up 2 container services | ||
* The `polaris` service for running Apache Polaris using an in-memory metastore | ||
* The `jupyter` service for running Jupyter notebook with PySpark | ||
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## Access the Jupyter notebook interface | ||
In the Jupyter notebook container log, look for the URL to access the Jupyter notebook. The url should be in the format, `http://127.0.0.1:8888/lab?token=<token>`. | ||
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Open the Jupyter notebook in a browser. | ||
Navigate to [`notebooks/SparkPolaris.ipynb`](http://127.0.0.1:8888/lab/tree/notebooks/SparkPolaris.ipynb) <!-- markdown-link-check-disable-line --> | ||
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## Change the Polaris credential | ||
The Polaris service will create a new root crendential on startup, find this credential in the Polaris service log and change the `polaris_credential` variable in the first cell of the jupyter notebook | ||
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## Run the Jupyter notebook | ||
You can now run all cells in the notebook or write your own code! |
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