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2024.2
  • Immuta Documentation - 2024.2
  • What is Immuta?
  • Self-Managed Deployment
    • Getting Started
    • Deployment Requirements
    • Install
      • Managed Public Cloud
      • Red Hat OpenShift
      • Generic Installation
      • Immuta in an Air-Gapped Environment
      • Deploy Immuta without Elasticsearch
    • Configure
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      • Immuta in Production
      • External Cache Configuration
      • Rotating Credentials
      • Enabling Legacy Query Engine and Fingerprint
    • Upgrade
      • Upgrade Immuta
      • Upgrade to Immuta 2024.2 LTS
    • Disaster Recovery
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  • Data and Integrations
    • Immuta Integrations
    • Snowflake
      • Getting Started
      • How-to Guides
        • Configure a Snowflake Integration
        • Snowflake Table Grants Migration
        • Edit or Remove Your Snowflake Integration
        • Integration Settings
          • Enable Snowflake Table Grants
          • Use Snowflake Data Sharing with Immuta
          • Configure Snowflake Lineage Tag Propagation
          • Enable Snowflake Low Row Access Policy Mode
            • Upgrade Snowflake Low Row Access Policy Mode
      • Reference Guides
        • Snowflake Integration
        • Snowflake Data Sharing
        • Snowflake Lineage Tag Propagation
        • Snowflake Low Row Access Policy Mode
        • Snowflake Table Grants
        • Warehouse Sizing Recommendations
      • Phased Snowflake Onboarding Concept Guide
    • Databricks Unity Catalog
      • Getting Started
      • How-to Guides
        • Configure a Databricks Unity Catalog Integration
        • Migrate to Unity Catalog
      • Databricks Unity Catalog Integration Reference Guide
    • Databricks Spark
      • How-to Guides
        • Configuration
          • Simplified Databricks Configuration
          • Manual Databricks Configuration
          • Manually Update Your Databricks Cluster
          • Install a Trusted Library
        • DBFS Access
        • Limited Enforcement in Databricks
        • Hide the Immuta Database in Databricks
        • Run spark-submit Jobs on Databricks
        • Configure Project UDFs Cache Settings
        • External Metastores
      • Reference Guides
        • Databricks Spark Integration
        • Databricks Spark Pre-Configuration Details
        • Configuration Settings
          • Cluster Policies
            • Python & SQL
            • Python & SQL & R
            • Python & SQL & R with Library Support
            • Scala
            • Sparklyr
          • Environment Variables
          • Ephemeral Overrides
          • Py4j Security Error
          • Scala Cluster Security Details
          • Databricks Security Configuration for Performance
        • Databricks Change Data Feed
        • Databricks Libraries Introduction
        • Delta Lake API
        • Spark Direct File Reads
        • Databricks Metastore Magic
    • Starburst (Trino)
      • Getting Started
      • How-to Guides
        • Configure Starburst (Trino) Integration
        • Customize Read and Write Access Policies for Starburst (Trino)
      • Starburst (Trino) Integration Reference Guide
    • Redshift
      • Getting Started
      • How-to Guides
        • Configure Redshift Integration
        • Configure Redshift Spectrum
      • Reference Guides
        • Redshift Integration
        • Redshift Pre-Configuration Details
    • Azure Synapse Analytics
      • Getting Started
      • Configure Azure Synapse Analytics Integration
      • Reference Guides
        • Azure Synapse Analytics Integration
        • Azure Synapse Analytics Pre-Configuration Details
    • Amazon S3
    • Google BigQuery
    • Legacy Integrations
      • Securing Hive and Impala Without Sentry
      • Enabling ImmutaGroupsMapping
    • Registering Metadata
      • Data Sources in Immuta
      • Register Data Sources
        • Create a Data Source
        • Create an Amazon S3 Data Source
        • Create a Google BigQuery Data Source
        • Bulk Create Snowflake Data Sources
      • Data Source Settings
        • How-to Guides
          • Manage Data Sources and Data Source Settings
          • Manage Data Source Members
          • Manage Access Requests and Tasks
          • Manage Data Dictionary Descriptions
          • Disable Immuta from Sampling Raw Data
        • Data Source Health Checks Reference Guide
      • Schema Monitoring
        • How-to Guides
          • Run Schema Monitoring and Column Detection Jobs
          • Manage Schema Monitoring
        • Reference Guides
          • Schema Monitoring
          • Schema Projects
        • Why Use Schema Monitoring?
    • Catalogs
      • Getting Started with External Catalogs
      • Configure an External Catalog
      • Reference Guides
        • External Catalogs
        • Custom REST Catalogs
          • Custom REST Catalog Interface Endpoints
    • Tags
      • How-to Guides
        • Create and Manage Tags
        • Add Tags to Data Sources and Projects
      • Tags Reference Guide
  • People
    • Getting Started
    • Identity Managers (IAMs)
      • How-to Guides
        • Microsoft Entra ID
        • Okta LDAP Interface
        • Okta and OpenID Connect
        • Integrate Okta SAML SCIM with Immuta
        • OneLogin with OpenID
        • Configure SAML IAM Protocol
      • Reference Guides
        • Identity Managers
        • SAML Single Logout
        • SAML Protocol Configuration Options
    • Immuta Users
      • How-to Guides
        • Managing Personas and Permissions
        • Manage Attributes and Groups
        • User Impersonation
        • External User ID Mapping
        • External User Info Endpoint
      • Reference Guides
        • Attributes and Groups in Immuta
        • Permissions and Personas
  • Discover Your Data
    • Getting Started
    • Introduction
    • Architecture
    • Data Discovery
      • How-to Guides
        • Enable Sensitive Data Discovery (SDD)
        • Manage Identification Frameworks
        • Manage Patterns
        • Manage Rules
        • Manage SDD on Data Sources
        • Manage Global SDD Settings
        • Migrate From Legacy to Native SDD
      • Reference Guides
        • How Competitive Pattern Analysis Works
        • Built-in Pattern Reference
        • Built-in Discovered Tags Reference
    • Data Classification
      • How-to Guides
        • Activate Classification Frameworks
        • Adjust Identification and Classification Framework Tags
        • How to Use a Built-In Classification Framework with Your Own Tags
      • Built-in Classification Frameworks Reference Guide
  • Detect Your Activity
    • Getting Started
      • Monitor and Secure Sensitive Data Platform Query Activity
        • User Identity Best Practices
        • Integration Architecture
        • Snowflake Roles Best Practices
        • Register Data Sources
        • Automate Entity and Sensitivity Discovery
        • Detect with Discover: Onboarding Guide
        • Using Immuta Detect
      • General Immuta Configuration
        • User Identity Best Practices
        • Integration Architecture
        • Databricks Roles Best Practices
        • Register Data Sources
    • Introduction
    • Audit
      • How-to Guides
        • Export Audit Logs to S3
        • Export Audit Logs to ADLS
        • Run Governance Reports
      • Reference Guides
        • Universal Audit Model (UAM)
        • Snowflake Query Audit Logs
        • Databricks Unity Catalog Audit Logs
        • Databricks Query Audit Logs
        • Starburst (Trino) Query Audit Logs
        • UAM Schema
        • Audit Export CLI
        • Governance Report Types
      • Deprecated Audit Guides
        • Legacy to UAM Migration
        • Download Audit Logs
        • System Audit Logs
    • Detection
      • Use the Detect Dashboards
      • Reference Guides
        • Detect
        • Detect Dashboards
        • Unknown Users in Audit Logs
    • Monitors
      • Manage Monitors and Observations
      • Detect Monitors Reference Guide
  • Secure Your Data
    • Getting Started with Secure
      • Automate Data Access Control Decisions
        • The Two Paths: Orchestrated RBAC and ABAC
        • Managing User Metadata
        • Managing Data Metadata
        • Author Policy
        • Test and Deploy Policy
      • Compliantly Open More Sensitive Data for ML and Analytics
        • Managing User Metadata
        • Managing Data Metadata
        • Author Policy
      • Federated Governance for Data Mesh and Self-Serve Data Access
        • Defining Domains
        • Managing Data Products
        • Managing Data Metadata
        • Apply Federated Governance
        • Discover and Subscribe to Data Products
    • Introduction
      • Scalability and Evolvability
      • Understandability
      • Distributed Stewardship
      • Consistency
      • Availability of Data
    • Authoring Policies in Secure
      • Authoring Policies at Scale
      • Data Engineering with Limited Policy Downtime
      • Subscription Policies
        • How-to Guides
          • Author a Subscription Policy
          • Author an ABAC Subscription Policy
          • Subscription Policies Advanced DSL Guide
          • Author a Restricted Subscription Policy
          • Clone, Activate, or Stage a Global Policy
        • Reference Guides
          • Subscription Policies
          • Subscription Policy Access Types
          • Advanced Use of Special Functions
      • Data Policies
        • Overview
        • How-to Guides
          • Author a Masking Data Policy
          • Author a Minimization Policy
          • Author a Purpose-Based Restriction Policy
          • Author a Restricted Data Policy
          • Author a Row-Level Policy
          • Author a Time-Based Restriction Policy
          • Certifications Exemptions and Diffs
          • External Masking Interface
        • Reference Guides
          • Data Policy Types
          • Masking Policies
          • Row-Level Policies
          • Custom WHERE Clause Functions
          • Data Policy Conflicts and Fallback
          • Custom Data Policy Certifications
          • Orchestrated Masking Policies
    • Domains
      • Getting Started with Domains
      • Domains Reference Guide
    • Projects and Purpose-Based Access Control
      • Projects and Purpose Controls
        • Getting Started
        • How-to Guides
          • Create a Project
          • Create and Manage Purposes
          • Adjust a Policy
          • Project Management
            • Manage Projects and Project Settings
            • Manage Project Data Sources
            • Manage Project Members
        • Reference Guides
          • Projects and Purposes
          • Policy Adjustments
        • Why Use Purposes?
      • Equalized Access
        • Manage Project Equalization
        • Project Equalization Reference Guide
        • Why Use Project Equalization?
      • Masked Joins
        • Enable Masked Joins
        • Why Use Masked Joins?
      • Writing to Projects
        • How-to Guides
          • Create and Manage Snowflake Project Workspaces
          • Create and Manage Databricks Project Workspaces
          • Write Data to the Workspace
        • Reference Guides
          • Project Workspaces
          • Project UDFs (Databricks)
    • Data Consumers
      • Subscribe to a Data Source
      • Query Data
        • Querying Snowflake Data
        • Querying Databricks Data
        • Querying Databricks SQL Data
        • Querying Starburst (Trino) Data
        • Querying Redshift Data
        • Querying Azure Synapse Analytics Data
      • Subscribe to Projects
  • Application Settings
    • How-to Guides
      • App Settings
      • BI Tools
        • BI Tool Configuration Recommendations
        • Power BI Configuration Example
        • Tableau Configuration Example
      • Add a License Key
      • Add ODBC Drivers
      • Manage Encryption Keys
      • System Status Bundle
    • Reference Guides
      • Data Processing, Encryption, and Masking Practices
      • Metadata Ingestion
  • Releases
    • Immuta v2024.2 Release Notes
    • Immuta Release Lifecycle
    • Immuta LTS Changelog
    • Immuta Support Matrix Overview
    • Immuta CLI Release Notes
    • Immuta Image Digests
    • Preview Features
      • Features in Preview
    • Deprecations
  • Developer Guides
    • The Immuta CLI
      • Install and Configure the Immuta CLI
      • Manage Your Immuta Tenant
      • Manage Data Sources
      • Manage Sensitive Data Discovery
        • Manage Sensitive Data Discovery Rules
        • Manage Identification Frameworks
        • Run Sensitive Data Discovery on Data Sources
      • Manage Policies
      • Manage Projects
      • Manage Purposes
    • The Immuta API
      • Integrations API
        • Getting Started
        • How-to Guides
          • Configure an Amazon S3 Integration
          • Configure an Azure Synapse Analytics Integration
          • Configure a Databricks Unity Catalog Integration
          • Configure a Google BigQuery Integration
          • Configure a Redshift Integration
          • Configure a Snowflake Integration
          • Configure a Starburst (Trino) Integration
        • Reference Guides
          • Integrations API Endpoints
          • Integration Configuration Payload
          • Response Schema
          • HTTP Status Codes and Error Messages
      • Immuta V2 API
        • Data Source Payload Attribute Details
        • Data Source Request Payload Examples
        • Create Policies API Examples
        • Create Projects API Examples
        • Create Purposes API Examples
      • Immuta V1 API
        • Authenticate with the API
        • Configure Your Instance of Immuta
          • Get Fingerprint Status
          • Get Job Status
          • Manage Frameworks
          • Manage IAMs
          • Manage Licenses
          • Manage Notifications
          • Manage Sensitive Data Discovery (SDD)
          • Manage Tags
          • Manage Webhooks
          • Search Filters
        • Connect Your Data
          • Create and Manage an Amazon S3 Data Source
          • Create an Azure Synapse Analytics Data Source
          • Create an Azure Blob Storage Data Source
          • Create a Databricks Data Source
          • Create a Presto Data Source
          • Create a Redshift Data Source
          • Create a Snowflake Data Source
          • Create a Starburst (Trino) Data Source
          • Manage the Data Dictionary
        • Manage Data Access
          • Manage Access Requests
          • Manage Data and Subscription Policies
          • Manage Domains
          • Manage Write Policies
            • Write Policies Payloads and Response Schema Reference Guide
          • Policy Handler Objects
          • Search Audit Logs
          • Search Connection Strings
          • Search for Organizations
          • Search Schemas
        • Subscribe to and Manage Data Sources
        • Manage Projects and Purposes
          • Manage Projects
          • Manage Purposes
        • Generate Governance Reports
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On this page
  • Prerequisites
  • Supported Databricks Runtime Versions
  • Supported Databricks Cluster Configurations
  • Supported Access Mode and Languages
  • Databricks Installation Overview
  • Limitations
  • Installation Methods
  • Debugging Immuta Installation Issues
  • Using the Validation and Debugging Notebook

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  1. Data and Integrations
  2. Databricks Spark
  3. How-to Guides

Configuration

PreviousHow-to GuidesNextSimplified Databricks Configuration

Last updated 1 month ago

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This page contains references to the term whitelist, which Immuta no longer uses. When the term is removed from the software, it will be removed from this page.

Prerequisites

  • Databricks instance: Premium tier workspace and

  • Databricks instance has network level access to Immuta tenant

  • Permissions and access to download (outside Internet access) or transfer files to the host machine

Recommended Databricks Workspace Configurations:

Note: Azure Databricks authenticates users with Microsoft Entra ID. Be sure to configure your Immuta tenant with an IAM that uses the same user ID as does Microsoft Entra ID. Immuta's Spark security plugin will look to match this user ID between the two systems. See this for details.

Supported Databricks Runtime Versions

Use the table below to determine which version of Immuta supports your Databricks Runtime version:

Databricks Runtime Version
Immuta Version

11.3 LTS

2023.1 and newer

10.4 LTS

2022.2.x and newer

7.3 LTS 9.1 LTS

2021.5.x and newer

Supported Databricks Cluster Configurations

The table below outlines the integrations supported for various Databricks cluster configurations. For example, the only integration available to enforce policies on a cluster configured to run on Databricks Runtime 9.1 is the Databricks Spark integration.

Example cluster
Databricks Runtime
Unity Catalog in Databricks
Databricks Spark integration
Databricks Unity Catalog integration

Cluster 1

9.1

Unavailable

Unavailable

Cluster 2

10.4

Unavailable

Unavailable

Cluster 3

11.3

Unavailable

Cluster 4

11.3

Cluster 5

11.3

Legend:

Supported Access Mode and Languages

Immuta supports the Custom access mode.

  • Supported Languages:

    • Python

    • SQL

    • R (requires advanced configuration; work with your Immuta support professional to use R)

    • Scala (requires advanced configuration; work with your Immuta support professional to use Scala)

Databricks Installation Overview

Users who can read raw tables on-cluster

  • If a Databricks Admin is tied to an Immuta account, they will have the ability to read raw tables on-cluster.

  • If a Databricks user is listed as an "ignored" user, they will have the ability to read raw tables on-cluster. Users can be added to the immuta.spark.acl.whitelist configuration to become ignored users.

The Immuta Databricks integration injects an Immuta plugin into the SparkSQL stack at cluster startup. The Immuta plugin creates an "immuta" database that is available for querying and intercepts all queries executed against it. For these queries, policy determinations will be obtained from the connected Immuta tenant and applied before returning the results to the user.

The Databricks cluster init script provided by Immuta downloads the Immuta artifacts onto the target cluster and puts them in the appropriate locations on local disk for use by Spark. Once the init script runs, the Spark application running on the Databricks cluster will have the appropriate artifacts on its CLASSPATH to use Immuta for policy enforcement.

The cluster init script uses environment variables in order to

  • Determine the location of the required artifacts for downloading.

  • Authenticate with the service/storage containing the artifacts.

Note: Each target system/storage layer (HTTPS, for example) can only have one set of environment variables, so the cluster init script assumes that any artifact retrieved from that system uses the same environment variables.

Limitations

Installation Methods

There are two installation options for Databricks. Click a link below to navigate to a tutorial for your chosen method:

    1. Adding the integration on the App Settings page.

    2. Downloading or automatically pushing cluster policies to your Databricks workspace.

    3. Creating or restarting your cluster.

    1. Downloading and configuring Immuta artifacts.

    2. Staging Immuta artifacts somewhere the cluster can read from during its startup procedures.

    3. Protecting Immuta environment variables with Databricks Secrets.

    4. Creating and configuring the cluster to start with the init script and load Immuta into its SparkSQL environment.

Debugging Immuta Installation Issues

For easier debugging of the Immuta Databricks installation, enable cluster init script logging. In the cluster page in Databricks for the target cluster, under Advanced Options -> Logging, change the Destination from NONE to DBFS and change the path to the desired output location. Note: The unique cluster ID will be added onto the end of the provided path.

For debugging issues between the Immuta web service and Databricks, you can view the Spark UI on your target Databricks cluster. On the cluster page, click the Spark UI tab, which shows the Spark application UI for the cluster. If you encounter issues creating Databricks data sources in Immuta, you can also view the JDBC/ODBC Server portion of the Spark UI to see the result of queries that have been sent from Immuta to Databricks.

Using the Validation and Debugging Notebook

The Validation and Debugging Notebook (immuta-validation.ipynb) is packaged with other Databricks release artifacts (for manual installations), or it can be downloaded from the App Settings page when configuring Databricks through the Immuta UI. This notebook is designed to be used by or under the guidance of an Immuta Support Professional.

  1. Import the notebook into a Databricks workspace by navigating to Home in your Databricks instance.

  2. Click the arrow next to your name and select Import.

  3. Once you have executed commands in the notebook and populated it with debugging information, export the notebook and its contents by opening the File menu, selecting Export, and then selecting DBC Archive.

/

The feature or integration is enabled.

The feature or integration is disabled.

See the for known limitations.

: The steps to enable the integration with this method include

: The steps to enable the integration with this method include

✅
⛔
Cluster access control enabled
Workspace access control enabled
Personal access tokens enabled
Microsoft Entra ID page
Simplified Configuration
Manual Configuration
✅
✅
⛔
✅
⛔
✅
⛔
⛔
✅
✅
✅
Databricks Pre-Configuration Details page