MySQL - You can now configure the following environment settings to override the Structural default behavior when a connection opens and a session is established:
TONIC_MYSQL_NETWORK_READ_TIMEOUTTONIC_MYSQL_NETWORK_WRITE_TIMEOUTTONIC_MYSQL_WAIT_TIMEOUTTONIC_MYSQL_LOCK_WAIT_TIMEOUTTONIC_MYSQL_INNODB_LOCK_WAIT_TIMEOUT
Azure SSO - Added support for authenticating application service principals using the EntraID client-credentials flow. Service principals can access the Structural API. For configuration requirements, refer to the Azure/EntraID SSO configuration information in the Structural User Guide.
For custom sensitivity rules, column matching rules are now always case insensitive. Previously, the column matching rules were always case sensitive.
SQL Server - Added support for:
- Full-Text Search catalogs and indexes
- Change tracking for database and table scopes
File connector - Fixed an issue that a caused authorization failures when using Assume Role to authorize access to Amazon S3 from Structural Cloud.
Fixed an issue where after an import from a JSON file, Subsetting view did not immediately reflect the state of the workspace.
Spark - Removed support for Livy on Hive.
Scheduling data generation - From the Jobs view (renamed from Job History) for a workspace, you can now configure the data generation to run automatically on a schedule. The schedule consists of one or more cron expressions, along with the time zone to use for the schedule. The Structural API includes new endpoints to manage the job schedule.
Create sensitivity rule from Database View - When you select the Database View bulk edit option for columns that have the same data type, do not have an assigned generator, and do not have a recommended generator, you now have the option to create a custom sensitivity rule. You can then immediately run a new sensitivity scan to catch matching columns.
Fixed an issue with the JSON Mask generator configuration panel where the example data did not update correctly.
Structural now displays a warning when the pre-job checks determine that the source database is on a newer major version than the destination database.
Salesforce - Rewrote the connector algorithm to avoid using sentinels, and to improve subset creation.
Databricks - Structural now supports writing Identity columns to tables.File connector - You can now assign the Timestamp Shift and Date Truncation generators to Parquet date fields.
PostgresSQL - Removed the option to run PostgreSQL jobs using the older flow. All jobs now run with the Data Pipeline v2.
