Google Drive Audit Logs connector
This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.
The managed Google Drive Audit Logs connector in Lakeflow Connect ingests Google Drive audit activity events such as file views, edits, downloads, and sharing changes from Google Workspace into Databricks.
Feature availability
Feature | Availability |
|---|---|
UI-based pipeline authoring |
|
API-based pipeline authoring |
|
Declarative Automation Bundles |
|
Incremental ingestion |
|
Unity Catalog governance |
|
Orchestration using Databricks Workflows |
|
API-based column selection and deselection |
|
API-based row filtering |
|
SCD Type 2 |
The |
Automated schema evolution: New and deleted columns |
|
Automated schema evolution: Data type changes |
|
Automated schema evolution: Column renames |
Requires a full refresh. |
Authentication methods
Authentication method | Availability |
|---|---|
OAuth U2M |
|
OAuth M2M |
|
Basic authentication (username/password) |
|
Google service account (domain-wide delegation) |
Service-account JSON key with domain-wide delegation. The connector impersonates a Google Workspace admin to read Drive audit activity. |
Ingest from Google Workspace in 3 steps
Before starting, review the Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
Start ingesting from Google Workspace
- Configure Google Workspace for ingestion (Admins). Set up Google Workspace to authenticate with Databricks.
- Create a Unity Catalog connection (Admins). Create a connection in Catalog Explorer so non-admins can create pipelines.
- Create an ingestion pipeline (Admins or non-admins). Select any supported interface and create a pipeline from an existing connection.