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databricks-switch-plugin
Advanced tools
LLM-powered tool to convert SQL, code, and workflow files into Databricks notebooks.
LLM-Powered Code Conversion Plugin for Lakebridge
Switch is a Lakebridge transpiler plugin that transforms SQL and other source formats into Databricks-compatible notebooks using Large Language Models (LLMs). As a core component of the Lakebridge migration platform, Switch provides automated code conversion capabilities through a multi-stage processing pipeline designed for large-scale platform migrations.
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.
Any issues discovered through the use of this project should be filed as GitHub Issues on the Repo. They will be reviewed as time permits, but there are no formal SLAs for support.
Switch is primarily designed as a Lakebridge transpiler plugin. To use Switch for code conversion:
For complete usage instructions and configuration options, refer to the Lakebridge documentation.
For advanced testing or direct control, you can deploy Switch directly to a Databricks workspace:
Cell 1: Install Switch package
From PyPI (stable version):
%pip install databricks-switch-plugin
For prerelease versions (dev/rc):
%pip install --pre databricks-switch-plugin
Cell 2: Deploy Switch to workspace
from databricks.sdk import WorkspaceClient
from switch.api.installer import SwitchInstaller
ws = WorkspaceClient()
installer = SwitchInstaller(ws)
result = installer.install()
print(f"Switch job created: {result.job_url}")
After installation, use the created job in Databricks Jobs UI to run conversions with your specific parameters.
FAQs
LLM-powered tool to convert SQL, code, and workflow files into Databricks notebooks.
We found that databricks-switch-plugin demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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