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# Databricks Python Data Sources
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Introduced in Spark 4.x, Python Data Source API allows you to create PySpark Data Sources leveraging long standing python libraries for handling unique file types or specialized interfaces with spark read, readStream, write and writeStream APIs.
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[![Databricks](https://img.shields.io/badge/Databricks-Solution_Accelerator-FF3621?style=for-the-badge&logo=databricks)](https://databricks.com)
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[![Unity Catalog](https://img.shields.io/badge/Unity_Catalog-Enabled-00A1C9?style=for-the-badge)](https://docs.databricks.com/en/data-governance/unity-catalog/index.html)
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[![Serverless](https://img.shields.io/badge/Serverless-Compute-00C851?style=for-the-badge)](https://docs.databricks.com/en/compute/serverless.html)
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# Databricks Python Data Sources
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Introduced in Spark 4.x, Python Data Source API allows you to create PySpark Data Sources leveraging long standing python libraries for handling unique file types or specialized interfaces with spark read, readStream, write and writeStream APIs.
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## Installation Guidelines
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1. Clone the project you'd like to run into your Databricks Workspace
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<img width="1726" height="677" alt="Screenshot 2025-07-23 at 11 05 25 AM" src="https://github.com/user-attachments/assets/55b1729f-ad07-420e-a271-843266abfb71" />
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2. Open the Asset Bundle Editor in the Databricks UI
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<img width="1120" height="665" alt="Screenshot 2025-07-23 at 11 06 12 AM" src="https://github.com/user-attachments/assets/d1f91256-eb8f-4456-8d88-c0a37b1bd4c5" />
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3. Click on "Deploy"
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<img width="1523" height="902" alt="Screenshot 2025-07-23 at 11 09 37 AM" src="https://github.com/user-attachments/assets/9564cbdd-c5c5-4210-bf27-2b19e6efc85b" />
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4. Navigate to the Deployments tab in the Asset Bundle UI (🚀 icon) and click "Run" on the job available. This will run the notebooks from this project sequentially.
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## Documentation
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Refer to the [python-data-sources](https://databricks-industry-solutions.github.io/python-data-sources/) documentation for detailed information on how to use supplied python data sources, its features, and configuration options.
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<img width="1527" height="880" alt="Screenshot 2025-07-23 at 11 10 13 AM" src="https://github.com/user-attachments/assets/0f612882-7123-449b-8349-1835bc59523c" />
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## Installation
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Please see our [installation guide](./INSTALL.md)
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## Contributing
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