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dbt Cloud
dbt Cloud
PROD
Available In
Feature List
Pipelines
Pipeline Status
Tags
Owners
Lineage

In this section, we provide guides and references to use the dbt Cloud connector.

Configure and schedule dbt Cloud metadata and profiler workflows from the OpenMetadata UI:

To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with custom Airflow plugins to handle the workflow deployment.

If, instead, you want to manage your workflows externally on your preferred orchestrator, you can check the following docs to run the Ingestion Framework anywhere.

We have support for Python versions 3.8-3.11

All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to DBT cloud.

In order to create and run a Metadata Ingestion workflow, we will follow the steps to create a YAML configuration able to connect to the source, process the Entities if needed, and reach the OpenMetadata server.

The workflow is modeled around the following JSON Schema

This is a sample config for dbt Cloud:

host: DBT cloud Access URL eg.https://abc12.us1.dbt.com. Go to your dbt cloud account settings to know your Access URL.

discoveryAPI: DBT cloud Access URL eg. https://metadata.cloud.getdbt.com/graphql. Go to your dbt cloud account settings to know your Discovery API url.

accountId: The Account ID of your DBT cloud Project. Go to your dbt cloud account settings to know your Account Id. This will be a numeric value but in openmetadata we parse it as a string.

jobId: Optional. The Job ID of your DBT cloud Job in your Project to fetch metadata for. Look for the segment after "jobs" in the URL. For instance, in a URL like https://cloud.getdbt.com/accounts/123/projects/87477/jobs/73659994, the job ID is 73659994. This will be a numeric value but in openmetadata we parse it as a string. If not passed all Jobs under the Account id will be ingested.

token: The Authentication Token of your DBT cloud API Account. To get your access token you can follow the docs here. Make sure you have the necessary permissions on the token to run graphql queries and get job and run details.

The sourceConfig is defined here:

dbServiceNames: Database Service Name for the creation of lineage, if the source supports it.

includeTags: Set the 'Include Tags' toggle to control whether to include tags as part of metadata ingestion.

includeUnDeployedPipelines: Set the 'Include UnDeployed Pipelines' toggle to control whether to include un-deployed pipelines as part of metadata ingestion. By default it is set to true

markDeletedPipelines: Set the Mark Deleted Pipelines toggle to flag pipelines as soft-deleted if they are not present anymore in the source system.

pipelineFilterPattern and chartFilterPattern: Note that the pipelineFilterPattern and chartFilterPattern both support regex as include or exclude.

To send the metadata to OpenMetadata, it needs to be specified as type: metadata-rest.

The main property here is the openMetadataServerConfig, where you can define the host and security provider of your OpenMetadata installation.

Logger Level

You can specify the loggerLevel depending on your needs. If you are trying to troubleshoot an ingestion, running with DEBUG will give you far more traces for identifying issues.

JWT Token

JWT tokens will allow your clients to authenticate against the OpenMetadata server. To enable JWT Tokens, you will get more details here.

You can refer to the JWT Troubleshooting section link for any issues in your JWT configuration.

Store Service Connection

If set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.

If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won't be sent to the OpenMetadata server.

Store Service Connection

If set to true (default), we will store the sensitive information either encrypted via the Fernet Key in the database or externally, if you have configured any Secrets Manager.

If set to false, the service will be created, but the service connection information will only be used by the Ingestion Framework at runtime, and won't be sent to the OpenMetadata server.

SSL Configuration

If you have added SSL to the OpenMetadata server, then you will need to handle the certificates when running the ingestion too. You can either set verifySSL to ignore, or have it as validate, which will require you to set the sslConfig.caCertificate with a local path where your ingestion runs that points to the server certificate file.

Find more information on how to troubleshoot SSL issues here.

filename.yaml

First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run:

Note that from connector to connector, this recipe will always be the same. By updating the YAML configuration, you will be able to extract metadata from different sources.