
Cassandra
BETAFeature List
✓ Metadata
✕ Query Usage
✕ Data Quality
✕ dbt
✕ Owners
✕ Lineage
✕ Column-level Lineage
✕ Tags
✕ Stored Procedures
✕ Data Profiler
✕ Auto-Classification
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
To extract metadata using the Cassandra connector, ensure the user in the connection has the following permissions:- Read Permissions: The ability to query tables and perform data extraction.
- Schema Operations: Access to list and describe keyspaces and tables.
Python Requirements
To run the Cassandra ingestion, you will need to install:Metadata Ingestion
All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to Cassandra. 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 Schema1. Define the YAML Config
2. Run with the CLI
First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run:Securing Cassandra Connection with SSL in OpenMetadata
To establish secure connections between OpenMetadata and a Cassandra database, you can use any SSL mode provided by Cassandra, except disable. UnderAdvanced Config, after selecting the SSL mode, provide the CA certificate, SSL certificate and SSL key.