Strac connector reference
This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.
This page has reference information for the managed Strac connector, including the supported source table and its destination table schema.
Supported source tables
The Strac connector supports a single source table, audit_events, under the default source schema. The table supports incremental ingestion. The connector uses the dateTime field as the cursor field for incremental ingestion.
Source table | Primary key | Description | Sync mode | Cursor field |
|---|---|---|---|---|
|
| Data-security audit events from Strac, such as user actions and access activity. | Incremental |
|
Destination table schemas
audit_events
Field | Data type | Description |
|---|---|---|
|
| Primary key. Event identifier. |
|
| Event timestamp. The incremental cursor field. |
|
| Email of the user who performed the action. |
|
| Source IP address of the actor. |
|
| User agent string of the actor. |
|
| Groups the actor belongs to. |
|
| Name of the action performed. |
|
| Human-readable description of the action. |
|
| API request path of the action. |
|
| JSON string describing the action target and parameters. |
Pagination and incremental ingestion
The connector reads from the Strac GET /data-security/audit-event endpoint on your API host. It applies server-side date filtering with startDate and endDate query parameters and pages through results using an opaque nextCursor cursor, with a page size of 1000.
For incremental ingestion, the connector tracks the dateTime field as the cursor. When no start datetime is configured, the connector backfills the last 365 days. See Strac connector limitations.
Connector options
The Strac connector has no configurable connector options.