Data Clean Rooms updates featuring Python 3.13 and new edits
Snowflake Data Clean Rooms updates bring Python 3.13, general availability for collaboration edits, and fixes for security scan timeouts.
What changed
New improvements arrive in the Snowflake Data Clean Rooms environment, including runtime updates to Python 3.13 and collaboration edits reaching GA.
Use cases
Imagine you manage secure data collaboration environments and need to update roles or optimize code execution. What you can do:
- Upgrade the runtime to Python 3.13 for enhanced security and performance.
- Manage collaborator roles in collaborations now that the feature is generally available.
- Avoid security scan timeouts when removing templates.
How to use
To check your current clean rooms API environment version, run the following SQL command:
SELECT * FROM SAMOOHA_BY_SNOWFLAKE_LOCAL_DB.ADMIN.VERSION;
What happens in this code:
- The command queries the version table inside the local database of the Data Clean Rooms application.
- The query returns the current API version number for tracking.
To enable automatic API updates:
USE ROLE SAMOOHA_APP_ROLE;
CALL SAMOOHA_BY_SNOWFLAKE_LOCAL_DB.library.enable_local_db_auto_upgrades();
What happens in this code:
- Sets the active role to the Data Clean Rooms administrator role.
- Calls the stored procedure that enables automatic upgrades for the local database.
Limitations and requirements
Available in supported Data Clean Rooms regions. Not available in government and VPS deployments.
- data clean rooms
- python
- security
- governance
- collaboration
Snowflake Data Clean Rooms updates
Summary and explanation generated by AI from the official release note. When in doubt, the platform's official documentation prevails.
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