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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
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        • Alphanumeric String Key
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      • Generator characteristics
        • Enabling consistency
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        • Partitioning a column
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        • Format-preserving encryption (FPE)
      • Generator types
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      • Reviewing and applying recommended generators
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      • Document View for file connector JSON columns
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      • Managing generator presets
      • Configuring and using Structural data encryption
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    • 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
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      • Generating cohesive subset data from related databases
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    • Viewing and adding foreign keys
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    • Using the Privacy Report to verify data protection
  • Running data generation
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  • Installing and Administering Structural
    • Structural architecture
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    • 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
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    • Using Structural Cloud
      • Structural Cloud notes
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    • Managing user access to Structural
      • Structural organizations
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      • Single sign-on (SSO)
        • Structural user authentication with SSO
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  • 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
  • Supported secrets manager tools and formats
  • Viewing the secrets manager list
  • Working with secrets managers
  • Creating a secrets manager
  • Editing an existing secrets manager
  • Deleting a secrets manager
  • Providing credentials for AWS Secrets Manager
  • Required AWS Secrets Manager permissions
  • Selecting the source of the credentials
  • Providing an assumed role
  • Providing AWS user credentials

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  1. Creating and managing workspaces
  2. Managing workspaces
  3. Workspace configuration settings

Configuring secrets managers for database connections

Last updated 2 months ago

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Required license: Enterprise

Required global permission: Manage secrets managers

Your organization might use a secrets manager to secure credentials, including database connection credentials.

For data connector credentials, you can configure a set of available secrets managers. In the workspace configuration, users can then select a secret name from a secrets manager.

Supported secrets manager tools and formats

Structural currently supports AWS Secrets Manager.

Structural only supports secrets that store passwords. For AWS Secrets Manager, the passwords must be in one of the following formats:

  • String

  • JSON

The JSON must contain a map of key-value pairs. It can either:

  • Contain a single key for which the value is the password in plaintext.

  • Contain a key that is labeled either password or pw, for which the value is the password in plaintext.

Viewing the secrets manager list

To display the list of secrets managers, on Structural Settings view, click Secrets Manager.

Working with secrets managers

Creating a secrets manager

To create a secrets manager:

  1. On the Secrets Manager tab, click Add Secrets Manager.

  2. On the Create Secrets Manager panel, in the Name field, provide a name to use to identify the secrets manager. Secrets manager names must be unique. The name is used in the secrets manager dropdown list on the workspace settings view.

  3. From the Type dropdown list, select the secrets manager product. Structural currently supports AWS Secrets Manager.

  4. Configure the credentials to use to connect to the secrets manager.

  5. Click Save.

Editing an existing secrets manager

For an existing secrets manager, you can change the name and the credentials configuration.

You cannot change the type.

To edit an existing secrets manager:

  1. In the secrets manager list, click the edit icon for the secrets manager.

  2. On the Edit Secrets Manager panel, update the configuration.

  1. Click Save.

Deleting a secrets manager

When you delete a secrets manager, it is removed from the workspace database connections that use it. Structural is no longer able to connect to those databases.

To delete a secrets manager:

  1. In the secrets manager list, click the delete icon for the secrets manager.

  2. On the confirmation panel, click Delete.

Providing credentials for AWS Secrets Manager

Required AWS Secrets Manager permissions

The AWS Secrets Manager credentials that you provide must have the following permissions:

  • secretsmanager:ListSecrets

  • On each secret to use, secretsmanager:GetSecretValue

  • On the encryption key for secrets that are encrypted with a customer managed key (CMK), kms:Decrypt

Here is an example policy that grants the required Secrets Manager permissions:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowSecretsManagerActions",
      "Effect": "Allow",
      "Action": [
        "secretsmanager:GetSecretValue",
        "secretsmanager:ListSecrets"
      ],
      "Resource": "arn:aws:secretsmanager:us-east-1:111111111111:secret:mySecretNamespace/*"
    }
  ]
}

Selecting the source of the credentials

For AWS Secrets Manager, under Authentication, select the source of the credentials:

  • Environment - Only available on self-hosted instances. Indicates to use either:

    • The credentials for the AWS Identity and Access Management (IAM) role on the host machine.

      • TONIC_AWS_ACCESS_KEY_ID - An AWS access key that is associated with an IAM user or role

      • TONIC_AWS_SECRET_ACCESS_KEY - The secret key that is associated with the access key

      • TONIC_AWS_REGION - The AWS Region to send the authentication request to

  • Assumed role - Indicates to use the specified assumed role.

  • User credentials - Indicates to use the provided user credentials.

Providing an assumed role

To provide an assumed role, click Assume Role, then:

  1. In the Role ARN field, provide the Amazon Resource Name (ARN) for the role.

  2. In the Session Name field, provide the role session name. If you do not provide a session name, then Structural automatically generates a default unique value. The generated value begins with TonicStructural.

  3. In the Duration (in seconds) field, provide the maximum length in seconds of the session. The default is 3600, indicating that the session can be active for up to 1 hour. The provided value must be less than the maximum session duration that is allowed for the role.

  4. From the AWS Region dropdown list, select the AWS Region to send the authentication request to.

Structural generates the external ID that is used in the assume role request. Your role’s trust policy must be configured to condition on your unique external ID.

Here is an example trust policy:

{
  "Version": "2012-10-17",
  "Statement": {
    "Effect": "Allow",
    "Principal": {
      "AWS": "<originating-account-id>"
    },
    "Action": "sts:AssumeRole",
    "Condition": {
      "StringEquals": {
        "sts:ExternalId": "<external-id>"
      }
    }
  }
}

Providing AWS user credentials

To provide the credentials, click User Credentials, then:

  1. In the AWS Access Key field, enter the AWS access key that is associated with an IAM user or role.

  2. In the AWS Secret Key field, enter the secret key that is associated with the access key.

  3. Optional. In the AWS Session Token field, provide the session token to use.

  4. From the AWS Region dropdown list, select the AWS Region to send the authentication request to.

The credentials set in the following :

environment settings
Secrets Manager tab on Structural Settings
Edit Secrets Manager panel
Authentication options for AWS Secrets Manager
Configuration fields for the Assume Role option for AWS Secrets Manager credentials
Configuration fields for the User Credentials option for AWS Secrets Manager credentials