Xero dbt Package

This dbt package transforms data from Fivetran's Xero connector into analytics-ready tables.

Resources

Number of materialized models¹: 35
Connector documentation
- Xero connector documentation
- Xero ERD
dbt package documentation

What does this dbt package do?

This package enables you to produce modeled tables, provide analytics-ready models, and generate comprehensive data dictionaries. It creates enriched models with metrics focused on profit and loss reports, general ledgers, and balance sheet reports.

Note: Currently, our dbt models for Xero have limited support for multi-currency accounting, particularly for handling unrealized currency gains and losses and bank revaluations, as they require historical or current exchange rate data that is not available in the Xero connector to fully calculate.

Output schema

Final output tables are generated in the following target schema:

<your_database>.<connector/schema_name>_xero

Final output tables

By default, this package materializes the following final tables:

Table	Description
xero__general_ledger	Tracks every journal line item with debits, credits, and account classifications to provide a complete transaction history for building financial statements and analyzing account activity. Example Analytics Questions: What is the total net amount by account class (asset, liability, equity, revenue, expense) for a given period? Which accounts have the highest transaction volumes or largest balance changes? How do journal entries by source type (invoice, payment, manual) contribute to overall financial activity?
xero__profit_and_loss_report	Summarizes monthly profit and loss by account with net amounts to track revenue, expenses, and profitability trends over time at the account level. Example Analytics Questions: What are monthly revenue and expense trends by account class (revenue vs expense)? Which expense accounts are growing fastest month-over-month? What is the net profit or loss for each month across all revenue and expense accounts?
xero__balance_sheet_report	Shows the monthly balance sheet position for each account to track assets, liabilities, and equity over time and understand financial health. Example Analytics Questions: What is the current balance for each asset, liability, and equity account? How have account balances changed month-over-month across different account classes? What is the total asset value versus total liability value for each reporting period?
xero__invoice_line_items	Provides detailed invoice line item data enriched with account, contact, and invoice information including amounts, taxes, and payment status to analyze billing and revenue. Example Analytics Questions: Which customers or contacts generate the highest invoice amounts and line item volumes? What are the most common products or services sold based on line item descriptions? How do discount rates and tax amounts vary across different invoice line items or customers?

¹ Each Quickstart transformation job run materializes these models if all components of this data model are enabled. This count includes all staging, intermediate, and final models materialized as view, table, or incremental.

Prerequisites

To use this dbt package, you must have the following:

At least one Fivetran Xero connection syncing data into your destination.
A BigQuery, Snowflake, Redshift, PostgreSQL, or Databricks destination.

How do I use the dbt package?

You can either add this dbt package in the Fivetran dashboard or import it into your dbt project:

To add the package in the Fivetran dashboard, follow our Quickstart guide.
To add the package to your dbt project, follow the setup instructions in the dbt package's README file to use this package.

Install the package

Include the following xero package version in your packages.yml file:

TIP: Check dbt Hub for the latest installation instructions or read the dbt docs for more information on installing packages.

packages:
  - package: fivetran/xero
    version: [">=1.2.0", "<1.3.0"] # we recommend using ranges to capture non-breaking changes automatically

All required sources and staging models are now bundled into this transformation package. Do not include fivetran/xero_source in your packages.yml since this package has been deprecated.

Define database and schema variables

By default, this package runs using your destination and the xero schema. If this is not where your Xero data is (for example, if your Xero schema is named xero_fivetran), add the following configuration to your root dbt_project.yml file:

vars:
    xero_schema: your_schema_name
    xero_database: your_database_name

(Optional) Additional configurations

Change the calendar start date

Our date-based models start at 2019-01-01 by default. To customize the start date, add the following variable to your dbt_project.yml file:

vars:
  xero:
    xero__calendar_start_date: 'yyyy-mm-dd' # default is 2019-01-01

Multi-currency Support Limitations

Currently, our dbt models for Xero have limited support for multi-currency accounting, particularly for handling unrealized currency gains and losses and bank revaluations, as they require historical or current exchange rate data that is not available in the Xero connector to fully calculate.

Thus, while all realized current gains will be brought through in our end models, unrealized currency gains and losses and bank revaluations will not. So we cannot provide full multi-currency support at this time.

Unioning Multiple Xero Connections

If you have multiple Xero connections in Fivetran and would like to use this package on all of them simultaneously, we have provided functionality to do so. The package will union all of the data together and pass the unioned table into the transformations. You will be able to see which source it came from in the source_relation column of each model. To use this functionality, you will need to set either (note that you cannot use both) the union_schemas or union_databases variables:

# dbt_project.yml
...
config-version: 2
vars:
  xero:
    union_schemas: ['xero_us','xero_ca'] # use this if the data is in different schemas/datasets of the same database/project
    union_databases: ['xero_us','xero_ca'] # use this if the data is in different databases/projects but uses the same schema name

Disabling and Enabling Models

When setting up your Xero connection in Fivetran, it is possible that not every table this package expects will be synced. This can occur because you either don't use that functionality in Xero or have actively decided to not sync some tables. In order to disable the relevant functionality in the package, you will need to add the relevant variables.

By default, all variables are assumed to be true. You only need to add variables for the tables you would like to disable:

# dbt_project.yml

config-version: 2

vars:
    xero__using_credit_note: false                      # default is true
    xero__using_bank_transaction: false                 # default is true
    xero__using_invoice_line_item_tracking_category: false  # default is true
    xero__using_journal_line_tracking_category: false # default is true
    xero__using_tracking_categories: false                # default is true

Changing the Build Schema

By default this package will build the Xero staging models within a schema titled (<target_schema> + _stg_xero) and the Xero final transform models within a schema titled (<target_schema> + _xero) in your target database. To overwrite this behavior, add the following configuration to your dbt_project.yml file:

# dbt_project.yml

...
models:
    xero:
      +schema: my_new_schema_name # Leave +schema: blank to use the default target_schema.
      staging:
        +schema: my_new_schema_name # Leave +schema: blank to use the default target_schema.
#### Change the source table references

If an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable:

IMPORTANT: See this project's dbt_project.yml variable declarations to see the expected names.

vars:
    xero_<default_source_table_name>_identifier: your_table_name

(Optional) Orchestrate your models with Fivetran Transformations for dbt Core™

Expand for details

Fivetran offers the ability for you to orchestrate your dbt project through Fivetran Transformations for dbt Core™. Learn how to set up your project for orchestration through Fivetran in our Transformations for dbt Core setup guides.

Does this package have dependencies?

This dbt package is dependent on the following dbt packages. These dependencies are installed by default within this package. For more information on the following packages, refer to the dbt hub site.

IMPORTANT: If you have any of these dependent packages in your own packages.yml file, we highly recommend that you remove them from your root packages.yml to avoid package version conflicts.

packages:
    - package: fivetran/fivetran_utils
      version: [">=0.4.0", "<0.5.0"]

    - package: dbt-labs/dbt_utils
      version: [">=1.0.0", "<2.0.0"]

How is this package maintained and can I contribute?

Package Maintenance

The Fivetran team maintaining this package only maintains the latest version of the package. We highly recommend you stay consistent with the latest version of the package and refer to the CHANGELOG and release notes for more information on changes across versions.

Contributions

A small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions.

We highly encourage and welcome contributions to this package. Learn how to contribute to a package in dbt's Contributing to an external dbt package article.

Are there any resources available?

If you have questions or want to reach out for help, see the GitHub Issue section to find the right avenue of support for you.
If you would like to provide feedback to the dbt package team at Fivetran or would like to request a new dbt package, fill out our Feedback Form.