Oracle

Feature	Status
Stage	PROD
Metadata
Query Usage
Data Profiler
Data Quality
Lineage	Partially via Views
DBT
Supported Versions	--

Feature	Status
Lineage	Partially via Views
Table-level
Column-level

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

Configure and schedule Oracle metadata and profiler workflows from the OpenMetadata UI:

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 connect using Airflow SDK or with the CLI.

Ingest with Airflow

Configure the ingestion using Airflow SDK

Ingest with the CLI

Run a one-time ingestion using the metadata CLI

Requirements

OpenMetadata 0.12 or later

To deploy OpenMetadata, check the Deployment guides.

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.

Note: To retrieve metadata from an Oracle database, the python-oracledb library can be utilized, which provides support for versions 12c, 18c, 19c, and 21c.

To ingest metadata from oracle user must have CREATE SESSION privilege for the user.

Metadata Ingestion

1. Visit the Services Page

The first step is ingesting the metadata from your sources. Under Settings, you will find a Services link an external source system to OpenMetadata. Once a service is created, it can be used to configure metadata, usage, and profiler workflows.

To visit the Services page, select Services from the Settings menu.

Find Databases option on left panel of the settings page

2. Create a New Service

Click on the 'Add New Service' button to start the Service creation.

Add a new Service from the Database Services page

3. Select the Service Type

Select Oracle as the service type and click Next.

Select your service from the list

4. Name and Describe your Service

Provide a name and description for your service as illustrated below.

Service Name

OpenMetadata uniquely identifies services by their Service Name. Provide a name that distinguishes your deployment from other services, including the other {connector} services that you might be ingesting metadata from.

Provide a Name and description for your Service

5. Configure the Service Connection

In this step, we will configure the connection settings required for this connector. Please follow the instructions below to ensure that you've configured the connector to read from your oracle service as desired.

Configure the service connection by filling the form

Connection Options

Username: Specify the User to connect to Oracle. It should have enough privileges to read all the metadata.
Password: Password to connect to Oracle.
Host and Port: Enter the fully qualified hostname and port number for your Oracle deployment in the Host and Port field.
Oracle Connection Type : Select the Oracle Connection Type. The type can either be Oracle Service Name or Database Schema
- Oracle Service Name: The Oracle Service name is the TNS alias that you give when you remotely connect to your database and this Service name is recorded in tnsnames.
- Database Schema: The name of the database schema available in Oracle that you want to connect with.
Oracle instant client directory: The directory pointing to where the instantclient binaries for Oracle are located. In the ingestion Docker image we provide them by default at /instantclient. If this parameter is informed (it is by default), we will run the thick oracle client. We are shipping the binaries for ARM and AMD architectures from here and here for the instant client version 19.
Connection Options (Optional): Enter the details for any additional connection options that can be sent to Oracle 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 Oracle 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 authenticator details in the Connection Arguments as a Key-Value pair as follows: "authenticator" : "sso_login_url"
- In case you authenticate with SSO using an external browser popup, then add the authenticator details in the Connection Arguments as a Key-Value pair as follows: "authenticator" : "externalbrowser"

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

Name: This field refers to the name of ingestion pipeline, you can customize the name or use the generated name.
Database Filter Pattern (Optional): Use to database filter patterns to control whether or not to include database as part of metadata ingestion.
- Include: Explicitly include databases by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all databases with names matching one or more of the supplied regular expressions. All other databases will be excluded.
- Exclude: Explicitly exclude databases by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all databases with names matching one or more of the supplied regular expressions. All other databases will be included.
Schema Filter Pattern (Optional): Use to schema filter patterns to control whether or not to include schemas as part of metadata ingestion.
- Include: Explicitly include schemas by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all schemas with names matching one or more of the supplied regular expressions. All other schemas will be excluded.
- Exclude: Explicitly exclude schemas by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all schemas with names matching one or more of the supplied regular expressions. All other schemas will be included.
Table Filter Pattern (Optional): Use to table filter patterns to control whether or not to include tables as part of metadata ingestion.
- Include: Explicitly include tables by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all tables with names matching one or more of the supplied regular expressions. All other tables will be excluded.
- Exclude: Explicitly exclude tables by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all tables with names matching one or more of the supplied regular expressions. All other tables will be included.
Include views (toggle): Set the Include views toggle to control whether or not to include views as part of metadata ingestion.
Include tags (toggle): Set the 'Include Tags' toggle to control whether to include tags as part of metadata ingestion.
Enable Debug Log (toggle): Set the Enable Debug Log toggle to set the default log level to debug, these logs can be viewed later in Airflow.
Mark Deleted Tables (toggle): Set the Mark Deleted Tables toggle to flag tables as soft-deleted if they are not present anymore in the source system.
Mark Deleted Tables from Filter Only (toggle): Set the Mark Deleted Tables from Filter Only toggle to flag tables as soft-deleted if they are not present anymore within the filtered schema or database only. This flag is useful when you have more than one ingestion pipelines. For example if you have a schema

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

9. View the Ingestion Pipeline

Once the workflow has been successfully deployed, you can view the Ingestion Pipeline running from the Service Page.

View the Ingestion Pipeline from the Service Page

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.