|Partially via Views
In this section, we provide guides and references to use the Domo Database connector.
Configure and schedule DomoDatabase 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.OpenMetadata 0.12 or later
To deploy OpenMetadata, check the Deployment guides.
For metadata ingestion, kindly make sure add atleast
data scopes to the clientId provided. Question related to scopes, click here.
To run the DomoDatabase ingestion, you will need to install:
All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to DomoDatabase.
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 DomoDatabase:
Client ID: Client ID to Connect to DOMODatabase.
Secret Token: Secret Token to Connect DOMODatabase.
Access Token: Access to Connect to DOMODatabase.
API Host: API Host to Connect to DOMODatabase instance.
Instance Domain: URL to connect to your Domo instance UI. For example
database: Optional name to give to the database in OpenMetadata. If left blank, we will use default as the database name
sourceConfig is defined here:
markDeletedTables: To flag tables as soft-deleted if they are not present anymore in the source system.
includeTables: true or false, to ingest table data. Default is true.
includeViews: true or false, to ingest views definitions.
databaseFilterPattern, schemaFilterPattern, tableFilterPattern: Note that the filter supports regex as include or exclude. You can find examples here
To send the metadata to OpenMetadata, it needs to be specified as
The main property here is the
openMetadataServerConfig, where you can define the host and security provider of your OpenMetadata installation.
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 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.
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
ignore, or have it as
validate, which will require you to set the
sslConfig.certificatePath 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.
Connection Options (Optional): Enter the details for any additional connection options that can be sent to Athena during the connection. These details must be added as Key-Value pairs.
Connection Arguments (Optional): Enter the details for any additional connection arguments such as security or protocol configs that can be sent to Athena during the connection. These details must be added as Key-Value pairs.
- In case you are using Single-Sign-On (SSO) for authentication, add the
authenticatordetails in the Connection Arguments as a Key-Value pair as follows:
"authenticator" : "sso_login_url"
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.