Xero connector
This feature is in Beta. To use it, a workspace admin must turn on Lakeflow Connect for Xero from the Previews page. See Manage Databricks previews.
The managed Xero connector in Lakeflow Connect ingests accounting data such as invoices, payments, contacts, and bank transactions from Xero into Databricks.
Feature availability
Feature | Availability |
|---|---|
UI-based pipeline authoring |
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API-based pipeline authoring |
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Declarative Automation Bundles |
|
Incremental ingestion |
|
Unity Catalog governance |
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Orchestration using Lakeflow Jobs |
|
API-based column selection and deselection |
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API-based row filtering |
|
Slowly changing dimensions (SCD) type 2 |
Tables with |
Automated schema evolution: New and deleted columns |
|
Automated schema evolution: Data type changes |
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Automated schema evolution: Column renames |
Requires a full refresh. |
Authentication methods
Authentication method | Availability |
|---|---|
OAuth user-to-machine (U2M) |
Uses a Xero OAuth 2.0 app that you create. |
OAuth machine-to-machine (M2M) |
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Basic authentication (username/password) |
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Basic authentication (API key) |
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Ingest from Xero in 3 steps
Before starting, review the Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
- Configure Xero for ingestion (Admins): Set up Xero to authenticate with Databricks.
- Create a Unity Catalog connection (Admins): Create a connection in Catalog Explorer to store credentials for Databricks to authenticate with Xero.
- Create an ingestion pipeline (Admins or non-admins): Select any supported interface and create a pipeline from an existing connection.