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  • Tonic Structural User Guide
  • About Tonic Structural
    • Structural data generation workflow
    • Structural deployment types
    • Structural implementation roles
    • Structural license plans
  • Logging into Structural for the first time
  • Getting started with the Structural free trial
  • Managing your user account
  • Frequently Asked Questions
  • Tutorial videos
  • Creating and managing workspaces
    • Managing workspaces
      • Viewing your list of workspaces
      • Creating, editing, or deleting a workspace
      • Workspace configuration settings
        • Workspace identification and connection type
        • Data connection settings
        • Configuring secrets managers for database connections
        • Data generation settings
        • Enabling and configuring upsert
        • Writing output to Tonic Ephemeral
        • Writing output to a container repository
        • Advanced workspace overrides
      • About the workspace management view
      • About workspace inheritance
      • Assigning tags to a workspace
      • Exporting and importing the workspace configuration
    • Managing access to workspaces
      • Sharing workspace access
      • Transferring ownership of a workspace
    • Viewing workspace jobs and job details
  • Configuring data generation
    • Privacy Hub
    • Database View
      • Viewing and configuring tables
      • Viewing the column list
      • Displaying sample data for a column
      • Configuring an individual column
      • Configuring multiple columns
      • Identifying similar columns
      • Commenting on columns
    • Table View
    • Working with document-based data
      • Performing scans on collections
      • Using Collection View
    • Identifying sensitive data
      • Running the Structural sensitivity scan
      • Manually indicating whether a column is sensitive
      • Built-in sensitivity types that Structural detects
      • Creating and managing custom sensitivity rules
    • Table modes
    • Generator information
      • Generator summary
      • Generator reference
        • Address
        • Algebraic
        • Alphanumeric String Key
        • Array Character Scramble
        • Array JSON Mask
        • Array Regex Mask
        • ASCII Key
        • Business Name
        • Categorical
        • Character Scramble
        • Character Substitution
        • Company Name
        • Conditional
        • Constant
        • Continuous
        • Cross Table Sum
        • CSV Mask
        • Custom Categorical
        • Date Truncation
        • Email
        • Event Timestamps
        • File Name
        • Find and Replace
        • FNR
        • Geo
        • HIPAA Address
        • Hostname
        • HStore Mask
        • HTML Mask
        • Integer Key
        • International Address
        • IP Address
        • JSON Mask
        • MAC Address
        • Mongo ObjectId Key
        • Name
        • Noise Generator
        • Null
        • Numeric String Key
        • Passthrough
        • Phone
        • Random Boolean
        • Random Double
        • Random Hash
        • Random Integer
        • Random Timestamp
        • Random UUID
        • Regex Mask
        • Sequential Integer
        • Shipping Container
        • SIN
        • SSN
        • Struct Mask
        • Timestamp Shift Generator
        • Unique Email
        • URL
        • UUID Key
        • XML Mask
      • Generator characteristics
        • Enabling consistency
        • Linking generators
        • Differential privacy
        • Partitioning a column
        • Data-free generators
        • Supporting uniqueness constraints
        • Format-preserving encryption (FPE)
      • Generator types
        • Composite generators
        • Primary key generators
    • Generator assignment and configuration
      • Reviewing and applying recommended generators
      • Assigning and configuring generators
      • Document View for file connector JSON columns
      • Generator hints and tips
      • Managing generator presets
      • Configuring and using Structural data encryption
      • Custom value processors
    • Subsetting data
      • About subsetting
      • Using table filtering for data warehouses and Spark-based data connectors
      • Viewing the current subsetting configuration
      • Subsetting and foreign keys
      • Configuring subsetting
      • Viewing and managing configuration inheritance
      • Viewing the subset creation steps
      • Viewing previous subsetting data generation runs
      • Generating cohesive subset data from related databases
      • Other subsetting hints and tips
    • Viewing and adding foreign keys
    • Viewing and resolving schema changes
    • Tracking changes to workspaces, generator presets, and sensitivity rules
    • Using the Privacy Report to verify data protection
  • Running data generation
    • Running data generation jobs
      • Types of data generation
      • Data generation process
      • Running data generation manually
      • Scheduling data generation
      • Issues that prevent data generation
    • Managing data generation performance
    • Viewing and downloading container artifacts
    • Post-job scripts
    • Webhooks
  • Installing and Administering Structural
    • Structural architecture
    • Using Structural securely
    • Deploying a self-hosted Structural instance
      • Deployment checklist
      • System requirements
      • Deploying with Docker Compose
      • Deploying on Kubernetes with Helm
      • Enabling the option to write output data to a container repository
        • Setting up a Kubernetes cluster to use to write output data to a container repository
        • Required access to write destination data to a container repository
      • Entering and updating your license key
      • Setting up host integration
      • Working with the application database
      • Setting up a secret
      • Setting a custom certificate
    • Using Structural Cloud
      • Structural Cloud notes
      • Setting up and managing a Structural Cloud pay-as-you-go subscription
      • Structural Cloud onboarding
    • Managing user access to Structural
      • Structural organizations
      • Determining whether users can create accounts
      • Creating a new account in an existing organization
      • Single sign-on (SSO)
        • Structural user authentication with SSO
        • Enabling and configuring SSO on Structural Cloud
        • Synchronizing SSO groups with Structural
        • Viewing the list of SSO groups in Tonic Structural
        • AWS IAM Identity Center
        • Duo
        • GitHub
        • Google
        • Keycloak
        • Microsoft Entra ID (previously Azure Active Directory)
        • Okta
        • OpenID Connect (OIDC)
        • SAML
      • Managing Structural users
      • Managing permissions
        • About permission sets
        • Built-in permission sets
        • Available permissions
        • Viewing the lists of global and workspace permission sets
        • Configuring custom permission sets
        • Selecting default permission sets
        • Configuring access to global permission sets
        • Setting initial access to all global permissions
        • Granting Account Admin access for a Structural Cloud organization
    • Structural monitoring and logging
      • Monitoring Structural services
      • Performing health checks
      • Downloading the usage report
      • Tracking user access and permissions
      • Redacted and diagnostic (unredacted) logs
      • Data that Tonic.ai collects
      • Verifying and enabling telemetry sharing
    • Configuring environment settings
    • Updating Structural
  • Connecting to your data
    • About data connectors
    • Overview for database administrators
    • Data connector summary
    • Amazon DynamoDB
      • System requirements and limitations for DynamoDB
      • Structural differences and limitations with DynamoDB
      • Before you create a DynamoDB workspace
      • Configuring DynamoDB workspace data connections
    • Amazon EMR
      • Structural process overview for Amazon EMR
      • System requirements for Amazon EMR
      • Structural differences and limitations with Amazon EMR
      • Before you create an Amazon EMR workspace
        • Creating IAM roles for Structural and Amazon EMR
        • Creating Athena workgroups
        • Configuration for cross-account setups
      • Configuring Amazon EMR workspace data connections
    • Amazon Redshift
      • Structural process overview for Amazon Redshift
      • Structural differences and limitations with Amazon Redshift
      • Before you create an Amazon Redshift workspace
        • Required AWS instance profile permissions for Amazon Redshift
        • Setting up the AWS Lambda role for Amazon Redshift
        • AWS KMS permissions for Amazon SQS message encryption
        • Amazon Redshift-specific Structural environment settings
        • Source and destination database permissions for Amazon Redshift
      • Configuring Amazon Redshift workspace data connections
    • Databricks
      • Structural process overview for Databricks
      • System requirements for Databricks
      • Structural differences and limitations with Databricks
      • Before you create a Databricks workspace
        • Granting access to storage
        • Setting up your Databricks cluster
        • Configuring the destination database schema creation
      • Configuring Databricks workspace data connections
    • Db2 for LUW
      • System requirements for Db2 for LUW
      • Structural differences and limitations with Db2 for LUW
      • Before you create a Db2 for LUW workspace
      • Configuring Db2 for LUW workspace data connections
    • File connector
      • Overview of the file connector process
      • Supported file and content types
      • Structural differences and limitations with the file connector
      • Before you create a file connector workspace
      • Configuring the file connector storage type and output options
      • Managing file groups in a file connector workspace
      • Downloading generated file connector files
    • Google BigQuery
      • Structural differences and limitations with Google BigQuery
      • Before you create a Google BigQuery workspace
      • Configuring Google BigQuery workspace data connections
      • Resolving schema changes for de-identified views
    • MongoDB
      • System requirements for MongoDB
      • Structural differences and limitations with MongoDB
      • Configuring MongoDB workspace data connections
      • Other MongoDB hints and tips
    • MySQL
      • System requirements for MySQL
      • Before you create a MySQL workspace
      • Configuring MySQL workspace data connections
    • Oracle
      • Known limitations for Oracle schema objects
      • System requirements for Oracle
      • Structural differences and limitations with Oracle
      • Before you create an Oracle workspace
      • Configuring Oracle workspace data connections
    • PostgreSQL
      • System requirements for PostgreSQL
      • Before you create a PostgreSQL workspace
      • Configuring PostgreSQL workspace data connections
    • Salesforce
      • System requirements for Salesforce
      • Structural differences and limitations with Salesforce
      • Before you create a Salesforce workspace
      • Configuring Salesforce workspace data connections
    • Snowflake on AWS
      • Structural process overviews for Snowflake on AWS
      • Structural differences and limitations with Snowflake on AWS
      • Before you create a Snowflake on AWS workspace
        • Required AWS instance profile permissions for Snowflake on AWS
        • Other configuration for Lambda processing
        • Source and destination database permissions for Snowflake on AWS
        • Configuring whether Structural creates the Snowflake on AWS destination database schema
      • Configuring Snowflake on AWS workspace data connections
    • Snowflake on Azure
      • Structural process overview for Snowflake on Azure
      • Structural differences and limitations with Snowflake on Azure
      • Before you create a Snowflake on Azure workspace
      • Configuring Snowflake on Azure workspace data connections
    • Spark SDK
      • Structural process overview for the Spark SDK
      • Structural differences and limitations with the Spark SDK
      • Configuring Spark SDK workspace data connections
      • Using Spark to run de-identification of the data
    • SQL Server
      • System requirements for SQL Server
      • Before you create a SQL Server workspace
      • Configuring SQL Server workspace data connections
    • Yugabyte
      • System requirements for Yugabyte
      • Structural differences and limitations with Yugabyte
      • Before you create a Yugabyte workspace
      • Configuring Yugabyte workspace data connections
      • Troubleshooting Yugabyte data generation issues
  • Using the Structural API
    • About the Structural API
    • Getting an API token
    • Getting the workspace ID
    • Using the Structural API to perform tasks
      • Configure environment settings
      • Manage generator presets
        • Retrieving the list of generator presets
        • Structure of a generator preset
        • Creating a custom generator preset
        • Updating an existing generator preset
        • Deleting a generator preset
      • Manage custom sensitivity rules
      • Create a workspace
      • Connect to source and destination data
      • Manage file groups in a file connector workspace
      • Assign table modes and filters to source database tables
      • Set column sensitivity
      • Assign generators to columns
        • Getting the generator IDs and available metadata
        • Updating generator configurations
        • Structure of a generator assignment
        • Generator API reference
          • Address (AddressGenerator)
          • Algebraic (AlgebraicGenerator)
          • Alphanumeric String Key (AlphaNumericPkGenerator)
          • Array Character Scramble (ArrayTextMaskGenerator)
          • Array JSON Mask (ArrayJsonMaskGenerator)
          • Array Regex Mask (ArrayRegexMaskGenerator)
          • ASCII Key (AsciiPkGenerator)
          • Business Name (BusinessNameGenerator)
          • Categorical (CategoricalGenerator)
          • Character Scramble (TextMaskGenerator)
          • Character Substitution (StringMaskGenerator)
          • Company Name (CompanyNameGenerator)
          • Conditional (ConditionalGenerator)
          • Constant (ConstantGenerator)
          • Continuous (GaussianGenerator)
          • Cross Table Sum (CrossTableAggregateGenerator)
          • CSV Mask (CsvMaskGenerator)
          • Custom Categorical (CustomCategoricalGenerator)
          • Date Truncation (DateTruncationGenerator)
          • Email (EmailGenerator)
          • Event Timestamps (EventGenerator)
          • File Name (FileNameGenerator)
          • Find and Replace (FindAndReplaceGenerator)
          • FNR (FnrGenerator)
          • Geo (GeoGenerator)
          • HIPAA Address (HipaaAddressGenerator)
          • Hostname (HostnameGenerator)
          • HStore Mask (HStoreMaskGenerator)
          • HTML Mask (HtmlMaskGenerator)
          • Integer Key (IntegerPkGenerator)
          • International Address (InternationalAddressGenerator)
          • IP Address (IPAddressGenerator)
          • JSON Mask (JsonMaskGenerator)
          • MAC Address (MACAddressGenerator)
          • Mongo ObjectId Key (ObjectIdPkGenerator)
          • Name (NameGenerator)
          • Noise Generator (NoiseGenerator)
          • Null (NullGenerator)
          • Numeric String Key (NumericStringPkGenerator)
          • Passthrough (PassthroughGenerator)
          • Phone (USPhoneNumberGenerator)
          • Random Boolean (RandomBooleanGenerator)
          • Random Double (RandomDoubleGenerator)
          • Random Hash (RandomStringGenerator)
          • Random Integer (RandomIntegerGenerator)
          • Random Timestamp (RandomTimestampGenerator)
          • Random UUID (UUIDGenerator)
          • Regex Mask (RegexMaskGenerator)
          • Sequential Integer (UniqueIntegerGenerator)
          • Shipping Container (ShippingContainerGenerator)
          • SIN (SINGenerator)
          • SSN (SsnGenerator)
          • Struct Mask (StructMaskGenerator)
          • Timestamp Shift (TimestampShiftGenerator)
          • Unique Email (UniqueEmailGenerator)
          • URL (UrlGenerator)
          • UUID Key (UuidPkGenerator)
          • XML Mask (XmlMaskGenerator)
      • Configure subsetting
      • Check for and resolve schema changes
      • Run data generation jobs
      • Schedule data generation jobs
    • Example script: Starting a data generation job
    • Example script: Polling for a job status and creating a Docker package
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On this page
  • Connecting to the source database
  • Providing the connection details
  • Ensuring encryption of source database authentication
  • Connecting through an SSH bastion
  • Blocking data generation on all schema changes
  • Connecting to the intermediate database for upsert
  • Providing the connection details
  • Ensuring encryption of intermediate database authentication
  • Connecting through an SSH bastion
  • Connecting to the destination database
  • Providing the connection details
  • Ensuring encryption of destination database authentication
  • Connecting through an SSH bastion

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  1. Connecting to your data
  2. MySQL

Configuring MySQL workspace data connections

During workspace creation, under Connection Type, click MySQL.

Connecting to the source database

In the Source Settings section, you provide the connection information for the source database.

Providing the connection details

To provide the connection details for the source database:

  1. In the Server field, specify the server where the source database is located.

  2. By default, Tonic Structural uses all of the databases on the source server. To instead identify specific databases, add them to the Databases field. To add a database, type the database name, then press Enter. To remove a database from the list, click its delete icon.

  3. In the Port field, provide the port to use to connect to the source data.

  4. In the Username field, provide the username to use to connect to the source data.

  5. For the user password, you can either specify the password manually, or you can select a secret name from a secrets manager. The selected secret must store a password. The secrets manager option only displays if at least one secrets manager is configured. For information about configuring the available secrets managers, go to Configuring secrets managers for database connections. To enter the password manually:

    1. Click Provide Password.

    2. In the password field, enter the password.

    To use a secret name from a secrets manager:

    1. Click Use Secrets Manager.

    2. From the secrets manager dropdown list, select the secrets manager. Structural connects to the secrets manager and retrieves a list of available secret names.

    3. From the secret name dropdown list, select the secret name.

  6. To test the connection to the source data, click Test Source Connection.

Ensuring encryption of source database authentication

The Enable SSL/TLS setting indicates whether to encrypt source database authentication.

By default, the toggle is in the on position. We strongly recommend that you do not turn off this setting.

Connecting through an SSH bastion

For additional security, to connect through an SSH bastion:

  1. Toggle Enable SSH Tunnel to the on position.

  2. In the SSH Host field, provide the host for the SSH bastion.

  3. In the SSH Port field, provide the port for the SSH bastion.

  4. In the SSH User field, provide the name of the user to use to connect to the SSH bastion.

  5. If you do not use a private key, then in the SSH Passphrase field, provide the passphrase to use for authentication.

  6. If you do use a private key, then in the SSH Private Key field, provide the private key. If the private key uses a passphrase, then in the SSH Passphrase field, provide the passphrase for the private key.

Blocking data generation on all schema changes

By default, data generation is not blocked for schema changes that do not conflict with your workspace configuration.

To block data generation when there are any schema changes, regardless of whether they conflict with your workspace configuration, toggle Block data generation on schema changes to the on position.

Connecting to the intermediate database for upsert

MySQL supports the upsert process. When you enable upsert for the workspace, the data generation process initially writes the transformed data to an intermediate database.

After the initial data generation is complete, the upsert job writes new records to the destination database, and updates existing records in the destination database. It does not touch any other records that are in the destination database.

Providing the connection details

To provide the connection details for the intermediate database:

  1. In the Server field, specify the server where the intermediate database is located. For each database selected from the source, Structural generates data into a database that uses the same name as the corresponding destination database. To prevent conflicts, the server for the intermediate database must be different from the server for the source database and the destination database.

  2. In the Port field, provide the port to use to connect to the intermediate database.

  3. In the Username field, provide the username to use to connect to the intermediate database.

  4. For the user password, you can either specify the password manually, or you can select a secret name from a secrets manager. The selected secret must store a password. The secrets manager option only displays if at least one secrets manager is configured. For information about configuring the available secrets managers, go to Configuring secrets managers for database connections. To enter the password manually:

    1. Click Provide Password.

    2. In the password field, enter the password.

    To use a secret name from a secrets manager:

    1. Click Use Secrets Manager.

    2. From the secrets manager dropdown list, select the secrets manager. Structural connects to the secrets manager and retrieves a list of available secret names.

    3. From the secret name dropdown list, select the secret name.

  5. To test the connection to the intermediate database, click Test Intermediate Connection.

Ensuring encryption of intermediate database authentication

The Enable SSL/TLS setting indicates whether to encrypt intermediate database authentication.

By default, the toggle is in the on position. We strongly recommend that you do not turn off this setting.

Connecting through an SSH bastion

For additional security, to connect through an SSH bastion:

  1. Toggle Enable SSH Tunnel to the on position.

  2. In the SSH Host field, provide the host for the SSH bastion.

  3. In the SSH Port field, provide the port for the SSH bastion.

  4. In the SSH User field, provide the name of the user to use to connect to the SSH bastion.

  5. If you do not use a private key, then in the SSH Passphrase field, provide the passphrase to use for authentication.

  6. If you do use a private key, then in the SSH Private Key field, provide the private key. If the private key uses a passphrase, then in the SSH Passphrase field, provide the passphrase for the private key.

Connecting to the destination database

For a MySQL workspace, you can write the destination data to either:

  • A destination database server.

  • A Tonic Ephemeral snapshot. For more information, go to Writing output to Tonic Ephemeral.

  • A container repository. For more information, go to Writing output to a container repository.

Under Destination Settings, to write the transformed data to a database server, click Database Server.

By default, the destination database uses the same databases as the source database.

Providing the connection details

To provide the connection details for the destination database:

  1. In the Server field, specify the server where the destination database is located. For each database selected from the source, Structural generates data into a database of the same name. To prevent a conflict, the server for the destination database must be different from the server for the source database and the intermediate database.

  2. By default, the destination database names match the source database names. You can optionally provide different database names for the destination. Note that in the following cases, you cannot rename the destination databases:

    • You do not specify the source databases to include.

    To enable custom destination database names, toggle Custom database names to the on position. When you enable custom destination database names, the source databases are listed under Original Database Name. The New Database Name column contains the corresponding destination database names, which by default match the source names. To provide a different database name, in the New Database Name field, enter the new name.

  3. In the Port field, provide the port to use to connect to the destination data.

  4. In the Username field, provide the username to use to connect to the destination data.

  5. For the user password, you can either specify the password manually, or you can select a secret name from a secrets manager. The selected secret must store a password. The secrets manager option only displays if at least one secrets manager is configured. For information about configuring the available secrets managers, go to Configuring secrets managers for database connections. To enter the password manually:

    1. Click Provide Password.

    2. In the password field, enter the password.

    To use a secret name from a secrets manager:

    1. Click Use Secrets Manager.

    2. From the secrets manager dropdown list, select the secrets manager. Structural connects to the secrets manager and retrieves a list of available secret names.

    3. From the secret name dropdown list, select the secret name.

  6. To test the connection to the destination database, click Test Destination Connection.

Ensuring encryption of destination database authentication

The Enable SSL/TLS setting indicates whether to encrypt destination database authentication.

By default, the toggle is in the on position. We strongly recommend that you do not turn off this setting.

Connecting through an SSH bastion

For additional security, to connect through an SSH bastion :

  1. Toggle Enable SSH Tunnel to the on position.

  2. In the SSH Host field, provide the host for the SSH bastion.

  3. In the SSH Port field, provide the port for the SSH bastion.

  4. In the SSH User field, provide the name of the user to use to connect to the SSH bastion.

  5. If you do not use a private key, then in the SSH Passphrase field, provide the passphrase to use for authentication.

  6. If you do use a private key, then in the SSH Private Key field, provide the private key. If the private key uses a passphrase, then in the SSH Passphrase field, provide the passphrase for the private key.

Last updated 21 days ago

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In the Upsert section, when you enable upsert, you are prompted to and to provide connection information for the intermediate database.

You .

configure the upsert processing
provide the database schema