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.External Schedulers
Get more information about running the Ingestion Framework Externally
Requirements
QuestDB exposes metadata through its built-in table functions (tables(), views(), materialized_views(), and table_columns()). Any authenticated user can call these functions - no additional database grants are required beyond valid credentials and network access to the QuestDB PostgreSQL wire protocol port (default: 8812).
Python Requirements
To run the QuestDB 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 QuestDB. 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
This is a sample config for QuestDB:2. Run with the CLI
First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run:Lineage
QuestDB supports view lineage extraction. Reuse the sameserviceConnection block from metadata ingestion so the lineage workflow can connect to the database. Query-log lineage and stored-procedure lineage are not supported, so keep those modes disabled.
This is a sample config for QuestDB view lineage: