
Dagster
PRODIn this section, we provide guides and references to use the Dagster connector.
Configure and schedule Dagster metadata and profiler workflows from the OpenMetadata UI:
Requirements
Python Requirements
To run the Dagster 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 Dagster.
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 Dagster:
Source Configuration - Service Connection
- host: host and port for dagster pipeline
Note: If dagster is deployed on localhost
and entering https://localhost:3000
into hostPort gives a connection refused error, please enter https://127.0.0.1:3000
into the hostPort and try again.
Token : Need pass token if connecting to dagster cloud
instance
timeout : Connection Time Limit Between OM and Dagster Graphql API in second