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Using Dagster with Cube

Dagster Integration:
Using Dagster with Cube

Push changes from upstream data sources to Cube's semantic layer.

About this integration

With the dagster_cube integration you can setup Cube and Dagster to work together so that Dagster can push changes from upstream data sources to Cube via the Orchestration API.

Installation

pip install dagster_cube

Example

import dagster as dg
from dagster_cube import CubeResource


@dg.asset
def cube_query_workflow(cube: CubeResource):
    response = cube.make_request(
        method="POST",
        endpoint="load",
        data={"query": {"measures": ["Orders.count"], "dimensions": ["Orders.status"]}},
    )

    return response


defs = dg.Definitions(
    assets=[cube_query_workflow],
    resources={
        "cube": CubeResource(
            instance_url="https://<<INSTANCE>>.cubecloudapp.dev/cubejs-api/v1/",
            api_key=dg.EnvVar("CUBE_API_KEY"),
        )
    },
)

About Cube

Cube.js is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application.


Community / Partner integration:

This integration was built and is maintained by a community user or a technology partner from outside of Dagster Labs.