Dataflow¶

Create Google Cloud Dataflow jobs from within Vertex AI Pipelines.

Components:

v1.dataflow.DataflowPythonJobOp(project: str, python_module_path: str, temp_location: str, gcp_resources: dsl.OutputPath(str), location: str = 'us-central1', requirements_file_path: str = '', args: list[str] = [])¶

Launch a self-executing Beam Python file on Google Cloud using the Dataflow Runner.

Parameters¶

project: str¶

Project to create the Dataflow job.

location: str = 'us-central1'¶

Location of the Dataflow job. If not set, defaults to 'us-central1'.

python_module_path: str¶

The GCS path to the Python file to run.

temp_location: str¶

A GCS path for Dataflow to stage temporary job files created during the execution of the pipeline.

requirements_file_path: str = ''¶

The GCS path to the pip requirements file.

args: list[str] = []¶

The list of args to pass to the Python file. Can include additional parameters for the Dataflow Runner.

Returns¶

gcp_resources: dsl.OutputPath(str)

Serialized gcp_resources proto tracking the Dataflow job. For more details, see https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_components/proto/README.md.