Custom sensitivity rules - On self-hosted Enterprise instances, you can now configure custom sensitivity rules, which allow you to create your own sensitivity types. For each rule, you configure the general data type, text matching rules for the column name, and the recommended generator. Structural uses these rules during the sensitivity scan. Matching columns are included on the Recommended Generators by Sensitivity Type panel.
Toleration configuration for output to container repositories - Self-hosted customers who write output to a container repository can now set pod tolerations to enable pods to be scheduled on nodes that have taints. The tolerations are configured in environment settings. You can add these settings to the Environment Settings list on Tonic Settings.
MySQL
- Fixed an issue with subsetting for instances of MySQL that were deployed using Amazon Aurora where downstream tables were not populated properly.
Sensitivity scans now detect name values more accurately.
Fixed an issue with certificate uploads for database settings.
Fixed an issue where the Structural application would hang after you created a workspace.
Shared logs are now transferred to an HTTPS endpoint instead of an Amazon S3 endpoint.
Amazon EMR
- Fixed an issue where Table View filters and table filters reported all
WHEREclauses as invalid.
Amazon Redshift
- You can now configure a workspace to include or exclude specific schemas.
PostgreSQL
- When you choose to write output to an Ephemeral snapshot, you can now provide a custom configuration file.
Fixed an issue where sensitivity scans suggested generators based on substrings within a column name.
HTML is now removed from text in comment fields.
Fixed an issue where the XML Path generator did not work correctly.
A new environment setting, TONIC_SUBSETTING_CYCLE_BREAK_GREEDY_ALGORITHM, indicates whether to use a new, faster greedy algorithm to compute the required cycle breaks for subsetting. By default, the setting is false.
File connector
- Fixed an issue with uploading .txt files for local file workspaces.
- For CSV file groups, added an option to specify the encoding format of all files. If not specified, Structural attempts to detect the encoding automatically. When encoding cannot be determined, the automatic encoding detection now defaults to UTF-8 instead of windows-1252.
MongoDB
- Added an API endpoint to retrieve all of the field paths in a database.
MySQL
- Writing output to a container repository now works with multiple database schemas.
- Improved resilience to transient issues when copying tables.
- Fixed an issue with delayed retries of failed file uploads during data generation.
Oracle
- You can now write output data from an Oracle workspace to a Tonic Ephemeral snapshot.
Salesforce
- You can now provide connected app credentials in the workspace configuration. These fields are only displayed if the credentials are not configured in the
TONIC_SALESFORCE_CONSUMER_KEYandTONIC_SALESFORCE_CONSUMER_SECRETenvironment settings.
Snowflake
- Fixed a regression where
ALTERstatements were inappropriately run through the GetDdl flow.
Salesforce data connector - The Salesforce data connector is now available for self-hosted instances that have a Professional or Enterprise license. It is currently only available by request. To request access to the Salesforce data connector, contact Tonic.ai support.
Linking address columns for recommended generators - The recommended generators panel in Privacy Hub now indicates when address columns should be linked. The columns are displayed in groups. You then apply the recommended generators to all of the columns in the group, and the columns are automatically linked.
Other updates
Fixed an issue with subsetting. When processing upstream tables with nullable foreign keys that had no referenced key values to process, upstream filters were not applied.
Improved performance of the Conditional generator when using the IS IN operator.
The upsert option for workspaces is now out of beta.
Fixed an issue where the number of generators that are slow to compute was calculated incorrectly, which affected how we parallelized the generator processing.
The default value for the environment setting TONIC_ORACLE_DBLINK_ENABLED is changed to false. The plan is to eventually remove the feature.
Fixed an issue where the TONIC_DISABLE_IPV6 setting did not completely prevent services from binding to ipv6 addresses.
When applied to a numeric type column, the SSN generator now by default generates values without hyphens.
Amazon EMR
- Added support for the Iceberg framework in Glue. If you use the Iceberg framework, then in the Spark Configuration section of the workspace details, make sure to add the following configurations: spark.sql.catalog.glue_catalog, .warehouse, .catalog-impl, and .io-impl.
File connector
- Improved resilience to missing cloud files when configuring file groups, previewing data, and running generation jobs.
MongoDB
- Fixed an issue with creating virtual foreign keys in MongoDB workspaces.
MySQL
- Improved the performance of the destination database teardown step for databases that have many partitions.
Oracle
- You can now use the Data Pipeline V2 process to run data generation for an Oracle workspace. The Confirm Generation panel includes a toggle to enable or disable the new process. Note that you cannot use the new process when subsetting is enabled.
Snowflake
- Fixed a subsetting issue where extra downstream rows were included when no primary keys existed in the table relationship.
Helm charts for deploying Structural to Kubernetes are now published at quay.io/tonicai/structural in addition to GitHub.
From the recommended generators panel on Privacy Hub, you can now enable or disable self-consistency for all columns within a sensitivity category.
Fixed an issue in Table View that sometimes caused the column order to be incorrect.
Added an environment variable TONIC_DISABLE_IPV6 to the PyML container. When set to true, the container no longer listens on IPv6 addresses.
File connector
- Added support for Avro files.
MySQL
- Fixed an issue with validating subsetting target table
WHEREclauses when the table or schema name contained special characters.
PostgreSQL
- Added limited support for ltree columns on versions older than 1.2. For tables where all columns are assigned the Passthrough generator, Structural copies the ltree data from the source database to the destination database. In tables that are de-identified, ltree columns are nullified in the destination database. If an ltree column is not nullable, then all of the columns in the table must be assigned the Passthrough generator.
Snowflake
- Added support for date and time columns that have a seconds precision of 0.
- Fixed an issue where the incorrect credentials were used when using separate source and destination buckets and credentials for Amazon S3.
SQL Server
- Fixed an issue introduced in v1178 where XML columns might be persisted as nvarchar columns in the destination database.
From the recommended generators panel on Privacy Hub, you can now enable or disable self-consistency for each column.
When you create a virtual foreign key, the nullability of the foreign key is now determined by the nullability of the foreign key column.
On Privacy Hub and the job details view, changed the label on the Download option to Reports and Logs.
Db2 for LUW
- Subsetting is now supported.
MySQL
- Fixed an issue where data generation failed when object identifiers included symbol characters.
PostgreSQL
- Workspaces with PostgreSQL 16 databases can now write output to a container repository.
Sending telemetry to Tonic.ai is now required and enforced. After 5 days of failed telemetry connections, a warning displays. If the connection issue persists for 15 days, data generation is restricted.
Structural Cloud users can now reset their passwords from the login page. To reset your password, click Forgot your password?.
You can now set the TONIC_POSTGRES_REFRESH_MATERIALIZED_VIEWS environment setting from the Environment Settings tab on Tonic Settings.
File connector
- Added support for AWS C2S Secret Regions.
SQL Server
- Improved the upsert logic to prevent jobs from hanging.
Added a new API endpoint to resolve all schema changes in a workspace. You can choose whether to resolve only conflicting changes, only notifications, or all of the schema changes.
Fixed an issue that caused the Tonic Structural PyML Service to be unreachable in IPV4-only containers.
Added a new conflicting schema change when a column that has an assigned generator becomes a foreign key. Foreign key columns must inherit the generator from the primary key.
Structural can now generate data with subsetting when a primary key table is truncated, as long as the foreign keys that reference the primary key are nullable.
Amazon Redshift
- Added support to pass through varbyte, geometry, and hllsketch types.
File connector
- For CSV, XML, and JSON files, fixed issues with the data preview in Database View and Table View. The preview no longer includes extra rows, and the preview now correctly reflects the Skip first N rows setting.
- Fixed the validation of file groups that only contained compressed files.
Snowflake
- For subsetting, added support for virtual foreign keys.
SQL Server
- Fixed an issue that caused data generations to fail for versions of SQL Server older than SQL Server 2016.
For the notifications image, replaced alpine with ubuntu.
File connector
- For a local files workspace, the job details view for a successful data generation now includes an option to download the transformed files that were produced by that job.
- For workspaces that use files from cloud storage, you can now include prefix patterns in the file group definition. You can also provide file extension filters. The file group then includes all of the files that match a prefix pattern and the file extension filters. The file group details now include the content type, file extension filter, and prefix patterns.
- For cloud storage workspaces, users who do not have permission to view all buckets can once again specify the bucket to view.
- For cloud storage workspaces, added a configuration option to only process new files during data generation. For existing file groups, the new configuration is off by default. For new file groups, the configuration is enabled by default.
MongoDB
- Fixed an issue where environment setting updates from the UI required a restart to take effect.
MySQL
- For a workspace that is configured to write output to Ephemeral, you can now provide a custom configuration file.
Snowflake
- Fixed an issue where the Subsetting tab disappeared after you edited a workspace.
SQL Server
- For versions 2017, 2019, and 2022, you can now configure workspaces to write output to a container repository.
During the free trial, Structural now displays next step highlights to indicate the next recommended action. When you hover over the recommended action, Structural displays an explanatory tooltip.
A new environment setting, TONIC_DB_MAX_POOL_SIZE, sets the connection pool size for the Structural application database. The default value is 3.
Fixed an issue where the preview data in the JSON Mask generator editor did not respect the applied table filter.
File connector
- For workspaces that connect to Amazon S3, you can now specify different credentials for the source and output locations.
- For cloud storage workspaces, fixed a regression in Tonic v1146 where the file explorer sometimes displayed incorrect results and files could not be added.
- You can now add Parquet files to a file connector file group, either from cloud storage or a local file system. You cannot select the following Parquet file types: HalfFloat, Struct, Union, Dictionary, Map, List, FixedSizeList, or arrays of any type. There also is no file preview for Parquet files.
MongoDB
- Fixed an issue that prevented the use of regex conditions in the conditional generator.
- You can now select the UUID Key generator as a sub-generator when configuring a composite generator.
PostgreSQL
- Fixed an issue where Preserve Destination tables sometimes were not preserved when data generation failed.
Fixed an issue in Table View where characters were sometimes represented inaccurately. For example, a lowercase x would become a multiplication symbol.
Fixed an issue where data generation to Tonic Ephemeral Cloud failed with the error "Ephemeral URL not found".
For a schema change that adds a new column, both the Schema Changes view and the API response now include the data type for the new column.
For the Structural free trial, Structural now displays a checklist for each workspace. There are slightly different checklists for database-based and file connector workspaces.
Added support to run Structural in dual-stack networks and IPv6-only network environments.
On the workspace details view, fixed an issue where an Ephemeral API key appeared to be populated when no value was provided.
Fixed an issue that caused data generation to Ephemeral to fail with "Ephemeral output must be configured".
Fixed an issue where data generation to Ephemeral failed after a first successful run.
Amazon Redshift
- You can now enable TLS for workspace data connections.
MySQL
- Fixed an authentication issue that prevented output from being written to an Ephemeral snapshot.
SQL Server
- You can now configure a SQL Server workspace to write output to an Ephemeral snapshot.
Writing output to a Tonic Ephemeral snapshot - For database types that Tonic Ephemeral supports (currently PostgreSQL and MySQL), you can now write the output to an Ephemeral user snapshot. This replaces the option to write the output to an Ephemeral database, except for workspaces in the Structural free trial. In Ephemeral, you can use the user snapshot to start new Ephemeral databases.
Other updates
For the UUID Key generator, added a new configuration option, Preserve Version and Variant. By default, the setting is turned off. When turned on, the version and variant bits from the source UUID are preserved in the output value. For the API, the new setting is preserveVersionAndVariant.
In the Tonic Structural free trial, the sample workspace now by default writes the output to a Tonic Ephemeral database.
Fixed an issue where vertical scrolling was sometimes blocked.
You can now configure the allowed SSL/TLS protocols and ciphers on the Tonic Web Server. To configure the protocols and ciphers, use the environment settings TONIC_WEB_SERVER_TLS_PROTOCOLS and TONIC_WEB_SERVER_TLS_CIPHERS.
File Connector
- Data generation jobs no longer fail when they encounter a configured file group file that no longer exists in the source cloud storage location.
- For local file workspaces, fixed a regression from Tonic v1136 where users could not upload additional local files into a file group.
MongoDB
- Fixed an issue that caused generations to fail when documents contained empty arrays or document fields.
MySQL
- Improved job warnings around missing tablespaces in the destination database.
The Structural API now includes endpoints to get and set the assigned table modes and table filters for a workspace.
Fixed an issue where the workspace audit trail displayed generator preset events that occurred before the workspace was created.
Fixed an issue where an error was returned when users tried to export selected files from a file group.
Improved error message when Structural cannot write output to Ephemeral because Ephemeral does not have a compatible base image for the database.
Databricks
- When a workspace is configured with an unsupported version of Databricks, the error message now suggests the supported Databricks versions.
- Updated the default spark_version to 14.3.
Google BigQuery
- Fixed an issue with applying some generators to numeric columns on large tables.
Oracle
- Fixed an issue where rows that contained NULL values in a VARCHAR2(1) column were dropped during data generation.
Output to a Tonic Ephemeral database - Tonic Ephemeral is a separate Tonic.ai product that allows you to create temporary databases. On Tonic Cloud, for data connectors that Ephemeral supports (currently PostgreSQL and MySQL), you can configure the workspace to write the destination data to an Ephemeral database. This is the default option for data connectors that Ephemeral supports.
The database belongs to your Ephemeral account. If you do not already have an Ephemeral account, then Tonic automatically creates a two-week Ephemeral free trial account for you. The Tonic data generation job details provide access to the database connection details.
Free trial checklist - During the free trial, the sample workspace now includes a checklist to help users get through the required steps to complete their first data generation.
Other updates
Free trial users can no longer use a public email address to create an account.
Fixed an issue where password reset links lead to a blank page.
Fixed an issue where pay-as-you-go users would see the countdown for a free trial.
In the sample workspace, fixed an issue where a faulty destination database template caused an error when a user tried to update it.
Google BigQuery
- Tonic can now de-identify snapshot tables.
Oracle
- For databases that use non-default database character sets, fixed an issue where rows that contained character data sometimes failed to be written to the destination database.
- For databases that use non-default database character sets, fixed an issue where passthrough CLOB data types had extra bytes inserted when they were copied to the destination database.
PostgreSQL
- If you do not use extensions, then the destination database no longer requires a super user.
Snowflake
- Subsetting is now supported on Snowflake workspaces. The table filtering option is still available.
You can now manually add selected environment settings to the Environment Settings list on Tonic Settings.
Improved the performance of data previews in the Tonic application.
For workspaces that write output data to a container repository, fixed an issue that prevented GAR credentials from being saved.
Google BigQuery
- Improved performance for data preview.
Snowflake
- The workspace configuration now includes a Trust Server Certificate option for the source and destination connections. When enabled, it indicates to bypass certificate revocation checks.
- Data generation jobs are now more resilient when they encounter views that have dependencies that Tonic does not have permissions for.
- Destination privileges can now exclude schema creation. If the user does not have schema creation permissions, then the schemas must already exist in the destination database.
SQL Server
- The upsert function now supports tables that have identity columns but do not have primary keys.
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.
Privacy Report PDF file
We added a new Privacy Report PDF that you can download from Privacy Hub and the job details view. The Privacy Report PDF contains a summary of the privacy ranking values, visualizations to summarize the workspace column privacy rankings based on the applied generators, and a summary table that contains the .csv Privacy Report data.
To accommodate the new file, on Privacy Hub and the job details page, the available downloads are combined into a Download menu.
Assigning recommended generators from Database View
On Database View, when an unprotected column has a recommended generator, the generator name tag now displays the type of sensitive data that was detected.
When you click the generator name tag, Tonic displays a panel that displays the sensitivity type, the recommended generator, and sample source and output data based on the recommended generator. The panel provides options to either apply or ignore the recommendation.
Other updates
Fixed an issue where changing the configuration of a generator preset did not accurately update the count of occurrences of the preset.
Oracle
- Fixed an issue with Oracle 12.1 and 12.2 where constraints that had an index creation statement failed to apply.
- Tonic can now de-identify external tables. External tables display in the Tonic application and can be assigned table modes and generators. During data generation, external tables are created as relational tables in the destination schema.
Fixed an issue with the Name generator where capitalization was not preserved if consistency was disabled.
For Table View, fixed an issue where the delete button to remove the generator assignment was sometimes hidden.
Oracle
- Tonic now supports Oracle Advanced Queues. Queue tables and queues are created in the destination database. Messages are not copied from the source database to the destination database. Queue subscribers are not currently supported. You must add them to the destination database manually.
PostgreSQL
- Tonic can now de-identify the ltree data type.
SQL Server
- Fixed an issue where indexes were not created on schema bound views.
Redesigned Database View
We redesigned Database View to improve the display and the filtering.
In the updated columns list, the Column column contains the schema, table, and column name, and the column data type. It provides access to the data preview option.
The Applied Generator column shows the applied generator. Applied Generator indicates when a column is unprotected, when the column is a primary or foreign key, and when the configuration overrides the parent workspace. If the table mode is not De-Identify, it shows the table mode. It provides access to the commenting option.
Filters other than the column name filter are moved under the Filters option. There are also new filters for the sensitivity type (the type of sensitive data that Tonic detected in the column) and whether the column has a recommended generator.
Privacy Report updates
In the Privacy Report, new column, Column Privacy Rank, indicates the privacy ranking for a column based on the assigned generator and generator configuration. The generator summary and generator reference include the possible privacy ranking values for each generator.
Added a new column, Tonic Detected Sensitivity, that indicates whether the Tonic sensitivity scan identified the column as sensitive. Renamed the Is Sensitive column to Current Sensitivity. Current Sensitivity indicates whether the column is currently marked as sensitive.
Also corrected an earlier issue with the order of the columns.
Other updates
Fixed an issue that caused all subset runs to record the percentage of rows in the subset as 100%. Subset runs that occur after updating to this version display the correct percentage.
The option to write output data to a container repository is out of beta.
Databricks
- For Databricks 13+, writing output to delta tables now uses the table’s liquid clustering configuration to cluster the insertion.
- Fixed an issue with loading tables into the Tonic application.
Google BigQuery
- Improved batch size calculations to reduce memory pressure during data generation jobs.
- Fixed an issue with applying the Timestamp Shift and Date Truncation generators on datetime or timestamp data when
TONIC_GRPC_ENABLEDwas false. - For the Timestamp Shift and Date Truncation generators, improved support for time values that include fractional seconds.
- Fixed an issue where the Character Substitution generator failed when assigned to a
NUMERICorBIGNUMERICcolumn.
Oracle
- Tonic now supports
IDENTITYcolumns. Before this change,IDENTITYMcolumns caused errors during destination database creation.
For the Custom Categorical generator, you can now add a NULL value to the available custom category values. To indicate a NULL value, use the keyword {NULL}.
Made the following API updates to better accommodate users of the previous version of the API:
jobs/{id}/workspace_snapshotnow returns the WorkspaceDataModel object.- Fixed an issue where workspace_snapshot could return empty replacements.
- Added a new endpoint,
GET jobs/{id}/workspace_snapshot?api-version=v2023_07_00, that returnsV17WorkspaceDataModel
Databricks
- When writing output to delta tables, the destination tables should now retain the
TBLPROPERTIESfrom the source delta table, including'delta.feature.allowColumnDefaults'.
Redesigned data model for generator assignments - The new version of the Tonic API includes a redesign of the data model for generator assignments. To use the previous version of the generator assignment data model, make sure that your API calls specify version 2023.07.0.
The generator assignment data model redesign includes the following changes:
- For all generators, moved the following fields to the
metadataobject in thelinkobject:presetIdgeneratorIdcustomValueProcessorencryptionProcessor
- For the <value type>: Mask composite generators:
- Moved
pathExpressionto themetadataobject in thelinkobject. - Removed the following fields from the
linkobject:subPresetIdsubGeneratorIdcustomSubGeneratorValueProcessor
- Added the following fields to the
subGeneratorMetadataobject under metadata:presetIdgeneratorIdcustomValueProcessor
Updated the sensitivity scan to better identify company and organization names and suggest the appropriate generator.
Databricks- The Conditional Generator is now supported on version 11.3+.
- Fixed some cases where a copied View did not have its definition updated to reference resources within the destination dataset. This could result in failures when attempting to copy the View into the destination dataset.
- Added support for Preserve Destination table mode.
- Fixed an issue where sub-queries in table filter clauses did not work if
TONIC_GRPC_ENABLEDwas set to true.
- You can now enable diagnostic logging for a MySQL data generation job.
- Improved the destination database permissions check on Google Cloud SQL to handle additional superuser authentication setups.
- Data generation now preserves hidden properties of columns.
- Moved
NOTE: v1074 was removed.
If your instance of Tonic is deployed on Docker, you can now use an external Kubernetes cluster to enable the option to write destination data to container artifacts.
You can now assign the Integer Key generator to a column with a decimal data type. The actual column values must still be integers.
Fixed an issue in Table View where an error displayed if you changed the selected table while the data was loading.
Databricks
- For cluster versions 11.3 and above, Tonic now displays accurate lists of available and suggested generators.
File connector
- Fixed an issue that prevented users from adding files to existing local file groups.
SQL Server
- Fixed an issue that caused errors when creating inline functions in the destination database.
