Skip to main content

Support

Important Notice​

Please note that all projects in the /databrickslabs GitHub account are provided for your exploration only, and are not formally supported by Databricks with Service Level Agreements (SLAs).

They are provided AS-IS and we do not make any guarantees of any kind.

Please do not submit a support ticket relating to any issues arising from the use of these projects.

Getting Help​

GitHub Issues​

Any issues discovered through the use of this project should be filed as GitHub Issues on the repository.

They will be reviewed as time permits, but there are no formal SLAs for support.

Before Filing an Issue​

  1. Check Existing Issues: Search existing issues to see if your problem has already been reported
  2. Review Documentation: Check this documentation and the README
  3. Check Known Limitations: Review Known Limitations to see if it's a documented limitation

Filing a Good Issue​

When filing an issue, please include:

Environment Information​

  • Databricks Runtime version (e.g., DBR 17.3 LTS)
  • Cluster configuration (node types, number of workers)
  • GeoBrix version
  • Python/Scala version

Problem Description​

  • Clear description of the issue
  • Expected behavior
  • Actual behavior
  • Error messages (full stack traces if available)

Reproduction Steps​

  • Minimal code to reproduce the issue
  • Sample data if possible (or description of data)
  • Steps to reproduce

Example​

Issue Template Example
**Environment:**
- DBR: 17.3 LTS
- Cluster: 2 workers, Standard_DS3_v2
- GeoBrix: 0.2.0
- Python: 3.12

**Issue:**
Getting error when reading large GeoTIFF files.

**Error Message:**
Example Error
java.lang.OutOfMemoryError: Java heap space
Reproduction Code
df = spark.read.format("gdal").load("/data/large.tif")
df.count()
Expected vs Actual
**Expected:**
Should read file successfully.

**Actual:**
OOM error on executors.

Community Resources​

GitHub Discussions​

For general questions, discussions, and sharing use cases, consider using GitHub Discussions if available.

Databricks Community​

Contributing​

Contributions are welcome! If you'd like to contribute:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

See CONTRIBUTING.md for more details.

Feature Requests​

Feature requests can be filed as GitHub Issues with the label "enhancement". Please provide:

  • Clear description of the feature
  • Use case(s) for the feature
  • Examples of how it would be used
  • Any relevant references or similar implementations

Documentation Improvements​

Found an error in the documentation or have a suggestion for improvement?

  • Documentation issues can be filed on GitHub Issues
  • Pull requests for documentation improvements are welcome
  • Tag with "documentation" label

DBLabs Mosaic (Maintenance Mode)​

If you're using DBLabs Mosaic (DBR 13.3 LTS):

Note: Mosaic is in maintenance mode and will be retired with DBR 13.3 EoS in August 2026.

Databricks Built-in Spatial Functions​

For general spatial operations, consider using:

GeoBrix is designed to augment these built-in capabilities, particularly for raster processing and specialized grid systems.

Databricks Labs​

Learn more about Databricks Labs projects:

  • Databricks Labs
  • Databricks Labs provides pre-built solutions and reference architectures
  • All Labs projects are provided AS-IS without formal support

License​

GeoBrix is provided under the license specified in the LICENSE file.

Acknowledgments​

GeoBrix builds upon the work of:

Contact​

For questions about Databricks Labs:

Remember: For GeoBrix-specific issues, please use GitHub Issues, not Databricks support channels.

Next Steps​