v1107 - v1113
v1107 - v1113
Removed
March 1, 2024
New Db2 for LUW data connector - Tonic now has a data connector for IBM Db2 for Linux, Unix, and Windows (Db2 for LUW). Tonic supports Db2 for LUW version 11.5.
Other updates
When the AI Synthesizer is used in a workspace, Tonic now verifies before data generation that the AI Synthesizer does not use more than the maximum allowed categories.
Amazon EMR
- Improved data generation performance when using Spark 2.4.0-3.2.x.Databricks
- Fixed an issue in Databricks 11.3+ where a generator that was consistent on another column received modified input values if a generator was applied to the consistency column. Generators that are consistent on another column now correctly receive unmodified input values.
- Improved data generation performance when using Spark 2.4.0-3.2.x.
- You can now de-identify views, except for views that are written in Google Legacy SQL. On the workspace settings view, to enable de-identification of views, toggle De-identify Views to the on position. You can then assign table modes and generators to the views. In the table lists, views are identified by (view) after the view name.
For each view, Tonic:- Writes the de-identified data to a table called
<view name>_tonic_table. - Creates a view that has the same name and metadata as the view in the source data, but is populated from the destination table.
- Writes the de-identified data to a table called
- Fixed an issue where Passthrough tables that had table constraints failed to copy to the destination database.
- Fixed an issue where cloned tables did not appear in the Tonic application, but caused job failures. Cloned tables now display within Tonic and can be managed in the same way as any other table.
- For Oracle 12, improved the schema remapping across multiple object types and configurations.
- Fixed an issue where Tonic failed to copy database link objects that were configured using passwords. Tonic no longer processes database links. If required, users must manually create database links in the destination schema.
- Fixed an issue where tables that contained computed columns dropped rows during data generation.
- You can now assign the JSON Mask generator to Snowflake variant columns.
