Ingestion Deployment
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 you want to install it manually in an already existing Airflow host, you can follow this guide.
If you don't want to use the OpenMetadata Ingestion container to configure the workflows via the UI, then you can check the following docs to run the Ingestion Framework in any orchestrator externally.
Run Connectors from the OpenMetadata UI
Learn how to manage your deployment to run connectors from the UIRun the Connector Externally
Get the YAML to run the ingestion externallyExternal Schedulers
Get more information about running the Ingestion Framework ExternallyRequirements
Every table ingested will have a tag name AtlasMetadata.atlas_table. You can find all tags under Governance > Classification.
1. Create Database & Messaging Services
You need to create at least a Database Service before ingesting the metadata from Atlas. Make sure to note down the name, since we will use it to create Atlas Service.
For example, to create a Hive Service you can follow these steps:
1. Visit the Services Page
The first step is to ingest the metadata from your sources. To do that, you first need to create a Service connection first.
This Service will be the bridge between OpenMetadata and your source system.
Once a Service is created, it can be used to configure your ingestion workflows.
Select your Service Type and Add a New Service
Add a new Service from the Services page
Select your Service from the list
4. Name and Describe your Service
Provide a name and description for your Service.
Service Name
OpenMetadata uniquely identifies Services by their Service Name. Provide a name that distinguishes your deployment from other Services, including the other Hive Services that you might be ingesting metadata from.
Note that when the name is set, it cannot be changed.
Provide a Name and description for your Service
5. Configure the Service Connection
In this step, we will configure the connection settings required for Hive.
Please follow the instructions below to properly configure the Service to read from your sources. You will also find helper documentation on the right-hand side panel in the UI.
Configure the Service connection by filling the form
2. Atlas Metadata Ingestion
Then, prepare the Atlas Service and configure the Ingestion:
1. Visit the Services Page
The first step is to ingest the metadata from your sources. To do that, you first need to create a Service connection first.
This Service will be the bridge between OpenMetadata and your source system.
Once a Service is created, it can be used to configure your ingestion workflows.
Select your Service Type and Add a New Service
Add a new Service from the Services page
Select your Service from the list
4. Name and Describe your Service
Provide a name and description for your Service.
Service Name
OpenMetadata uniquely identifies Services by their Service Name. Provide a name that distinguishes your deployment from other Services, including the other Atlas Services that you might be ingesting metadata from.
Note that when the name is set, it cannot be changed.
Provide a Name and description for your Service
5. Configure the Service Connection
In this step, we will configure the connection settings required for Atlas.
Please follow the instructions below to properly configure the Service to read from your sources. You will also find helper documentation on the right-hand side panel in the UI.
Configure the Service connection by filling the form
Connection Details
- Host and Port: Host and port of the Atlas service.
- Username: username to connect to the Atlas. This user should have privileges to read all the metadata in Atlas.
- Password: password to connect to the Atlas.
- databaseServiceName: source database of the data source. This is the service we created before: e.g.,
local_hive) - messagingServiceName: messaging service source of the data source.
- Entity Type: Name of the entity type in Atlas.
6. Test the Connection
Once the credentials have been added, click on Test Connection and Save the changes.
Test the connection and save the Service
7. Configure Metadata Ingestion
In this step we will configure the metadata ingestion pipeline, Please follow the instructions below
Configure Metadata Ingestion Page
Metadata Ingestion Options
- Enable Debug Log (toggle): Set the Enable Debug Log toggle to set the default log level to debug.
8. Schedule the Ingestion and Deploy
Scheduling can be set up at an hourly, daily, weekly, or manual cadence. The timezone is in UTC. Select a Start Date to schedule for ingestion. It is optional to add an End Date.
Review your configuration settings. If they match what you intended, click Deploy to create the service and schedule metadata ingestion.
If something doesn't look right, click the Back button to return to the appropriate step and change the settings as needed.
After configuring the workflow, you can click on Deploy to create the pipeline.
Schedule the Ingestion Pipeline and Deploy
Troubleshooting
Workflow Deployment Error
If there were any errors during the workflow deployment process, the Ingestion Pipeline Entity will still be created, but no workflow will be present in the Ingestion container.
- You can then Edit the Ingestion Pipeline and Deploy it again.
- From the Connection tab, you can also Edit the Service if needed.