This repository showcases custom Spark data sources built using the new Python Data Source API for the upcoming Apache Spark 4.0 release. For an in-depth understanding of the API, please refer to the API source code. Note this repo is demo only and please be aware that it is not intended for production use. Contributions and feedback are welcome to help improve the examples.
pip install pyspark-data-sources[all]
Install the pyspark 4.0 preview version: https://pypi.org/project/pyspark/4.0.0.dev1/
pip install "pyspark[connect]==4.0.0.dev1"
Or use Databricks Runtime 15.2 or above.
Try the data sources!
from pyspark_datasources.github import GithubDataSource
# Register the data source
spark.dataSource.register(GithubDataSource)
spark.read.format("github").load("apache/spark").show()See more here: https://allisonwang-db.github.io/pyspark-data-sources/.
We welcome and appreciate any contributions to enhance and expand the custom data sources. If you're interested in contributing:
- Add New Data Sources: Want to add a new data source using the Python Data Source API? Submit a pull request or open an issue.
- Suggest Enhancements: If you have ideas to improve a data source or the API, we'd love to hear them!
- Report Bugs: Found something that doesn't work as expected? Let us know by opening an issue.
Need help or have questions? Don't hesitate to open a new issue, and we'll do our best to assist you.
poetry shell
mkdocs serve