In this section, we provide guides and references to use the Superset connector.
Configure and schedule Superset metadata and profiler workflows from the OpenMetadata UI:
How to Run the Connector Externally
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.
Requirements
The ingestion also works with Superset 2.0.0 🎉
Note:
API Connection: To extract metadata from Superset via API, user must have at least can read on Chart & can read on Dashboard permissions.
Database Connection: To extract metadata from Superset via MySQL or Postgres database, database user must have at least SELECT privilege on dashboards & slices tables within superset schema.
Python Requirements
We have support for Python versions 3.9-3.11
To run the Superset ingestion, you will need to install:
pip3 install "openmetadata-ingestion[superset]"
All connectors are defined as JSON Schemas.
Here
you can find the structure to create a connection to Superset.
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
1. Define the YAML Config
This is a sample config for Superset:
- To establish secure connections between OpenMetadata and Superset, in the
YAML under sslConfig, we need to add caCertificate and update the certificate path. Ensure that the certificates are accessible from the Airflow Server.
sslConfig:
caCertificate: /path/to/cacert.crt
- To establish secure connections between OpenMetadata and Superset’s MySQL database, you need to configure SSL certificates appropriately. If you only require SSL validation, specify the
caCertificate to use the CA certificate for validating the server’s certificate. For mutual authentication, where both client and server need to authenticate each other, you must provide all three parameters: ssl_key for the client’s private key, ssl_cert for the client’s SSL certificate, and ssl_ca for the CA certificate to validate the server’s certificate.
type: Mysql
sslConfig:
caCertificate: "/path/to/ca_certificate"
sslCertificate: "/path/to/your/ssl_cert"
sslKey: "/path/to/your/ssl_key"
- To establish secure connxxwections between OpenMetadata and Superset’s PostgreSQL database, you can configure SSL using different SSL modes provided by PostgreSQL, each offering varying levels of security.Under
PostgresConnection Advanced Config, specify the SSL mode appropriate for your connection, such as prefer, verify-ca, allow, and others. After selecting the SSL mode, provide the CA certificate used for SSL validation (caCertificate). Note that PostgreSQL requires only the CA certificate for SSL validation.
type: Postgres
sslMode: disable #allow prefer require verify-ca verify-full
sslConfig:
caCertificate: "/path/to/ca/certificate"
2. Run with the CLI
First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run:
metadata ingest -c <path-to-yaml>
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.