Release PV9.1.0 SV110

The theme of this release is the rebranding of AI Data Manipulator to AI Data Tools and small functionality enhancements.

Compatibility

Use OneStream Software platform version 9.1.0 or later with this version and Xperiflow version 4.1.0 or later.

New

  • Enabled BrowserUX support.

  • Rebranded AI Data Manipulator (DMA) to AI Data Tools (DTL).

  • Added assignable access to the Application database.

  • Added support for uploading .csv files with custom delimiters. The supported deliniters include

    • Comma ,

    • Semicolon ;

    • Tabs \t

    • Pipes |

  • Added verification checks to ensure the setup user assigns at least one group with Security Modify Access before launching the solution.

  • Added protections to sys-level database tables.

  • Added row and data limits to querying.

    • Notifications display in the Audit Log when limits are reached.

  • Replaced Artifact Viewer with Artifact WebApp to improve capability and performance.

Enhancements

  • Improved error handling when selecting a Meta File System folder for DuckDB querying.

  • Removed the ability to create folders from the File Explorer page.

  • Removed the Edit button when editing tables or files is not allowed.

  • Improved UI spacing on the Query Composer page.

  • Increased the Recent Queries count from 20 to 100.

  • Prevented the query window from clearing when changing between connections of the same Datasource Type.

Fixed Issues

  • Folders and files in the Meta File System with the same name but different capitalization no longer overwrite one another in File Tree Views.

  • Files larger than 2GB in the Meta File System no longer prevent File Tree Views from rendering.

  • Quick Actions and Snippets now include brackets around schema and name values.

  • Closing dialogs no longer reruns queries unintentionally.

  • Values of type BigInteger now display correctly without errors.

Known Issues

  • Database tables with non-default schema do not support in-dialog alteration.

  • Extremely large datasets or query responses may fail to load due to a “Stream was too long” error. To avoid this issue, break up datasets into smaller chunks.

Contacting Support

OneStream Support can be contacted at any time by registering at http://support.onestreamsoftware.com and then emailing support@onestreamsoftware.com.