Ingest data with Cloud Data Fusion

Cloud Data Fusion provides a Dataplex Sink plugin for ingesting data to any of the Dataplex supported assets.

Before you start

  • Create a Cloud Data Fusion instance, if you don't have one. This plugin is available in instances that run in Cloud Data Fusion version 6.6 or later.
  • The BigQuery dataset or Cloud Storage bucket where data is ingested must be part of a Dataplex lake.
  • For data to be read from Cloud Storage entities, Dataproc Metastore must be attached to the lake.
  • CSV data in Cloud Storage entities isn't supported.
  • In the Dataplex project, enable Private Google Access on the subnetwork, which is usually set to default, or set internal_ip_only to false.

Required roles

To get the permissions that you need to manage roles, ask your administrator to grant you the following IAM roles on the Dataproc service agent and the Cloud Data Fusion service agent (

For more information about granting roles, see Manage access.

You might also be able to get the required permissions through custom roles or other predefined roles.

Add the plugin to your pipeline

  1. In the Google Cloud console, go to the Cloud Data Fusion Instances page.

    Go to Instances

    This page lets you manage your instances.

  2. Click View instance to open your instance in the Cloud Data Fusion UI.

  3. Go to the Studio page, expand the Sink menu, and click Dataplex.

Configure the plugin

After you add this plugin to your pipeline on the Studio page, click the Dataplex sink to configure and save its properties.

For more information about configurations, see the Dataplex Sink reference.

Optional: Get started with a sample pipeline

Sample pipelines are available, including an SAP source to Dataplex sink pipeline and a Dataplex source to BigQuery sink pipeline.

To use a sample pipeline, open your instance in the Cloud Data Fusion UI, click Hub > Pipelines, and select one of the Dataplex pipelines. A dialog opens to help you create the pipeline.

Run your pipeline

  1. After deploying the pipeline, open your pipeline on the Cloud Data Fusion Studio page.

  2. Click Configure > Resources.

  3. Optional: Change the Executor CPU and Memory based on the overall data size and the number of transformations used in your pipeline.

  4. Click Save.

  5. To start the data pipeline, click Run.

What's next