[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-09-05 (世界標準時間)。"],[[["\u003cp\u003eCloud Data Fusion's Dataplex Sink plugin enables data ingestion into Dataplex-supported assets from version 6.6 or later.\u003c/p\u003e\n"],["\u003cp\u003eUsing the plugin requires the BigQuery dataset or Cloud Storage bucket to be part of a Dataplex lake, with Dataproc Metastore attached for Cloud Storage data.\u003c/p\u003e\n"],["\u003cp\u003eSpecific IAM roles, including Dataplex Developer and Dataplex Data Reader, are needed on the Dataproc and Cloud Data Fusion service agents to manage permissions.\u003c/p\u003e\n"],["\u003cp\u003eThe Dataplex plugin can be added to your Cloud Data Fusion pipeline via the Studio page, where it can be configured and its properties saved.\u003c/p\u003e\n"],["\u003cp\u003eSample pipelines are available, including SAP to Dataplex and Dataplex to BigQuery, which can be accessed through the Cloud Data Fusion UI.\u003c/p\u003e\n"]]],[],null,["# Ingest data with Cloud Data Fusion\n\n[Cloud Data Fusion](/data-fusion) provides a Dataplex Universal Catalog Sink plugin\nfor ingesting data to any of the Dataplex Universal Catalog supported assets.\n\nBefore you begin\n----------------\n\n- If you don't have a Cloud Data Fusion instance, create one. This plugin is available in instances that run in Cloud Data Fusion version 6.6 or later. For more information, see [Create a Cloud Data Fusion public instance](/data-fusion/docs/how-to/create-instance).\n- The BigQuery dataset or Cloud Storage bucket where data is ingested must be part of a Dataplex Universal Catalog lake.\n- For data to be read from Cloud Storage entities, Dataproc Metastore must be attached to the lake.\n- CSV data in Cloud Storage entities isn't supported.\n- In the Dataplex Universal Catalog project, enable Private Google Access on the subnetwork, which is typically set to `default`, or set `internal_ip_only` to `false`.\n\n### Required roles\n\n\nTo get the permissions that\nyou need to manage roles,\n\nask your administrator to grant you the\nfollowing IAM roles on the Dataproc service agent and the Cloud Data Fusion service agent (`service-`\u003cvar translate=\"no\"\u003eCUSTOMER_PROJECT_NUMBER\u003c/var\u003e`@gcp-sa-datafusion.iam.gserviceaccount.com`):\n\n- [Dataplex Developer](/iam/docs/roles-permissions/dataplex#dataplex.developer) (`roles/dataplex.developer`)\n- [Dataplex Data Reader](/iam/docs/roles-permissions/dataplex#dataplex.dataReader) (`roles/dataplex.dataReader`)\n- [Dataproc Metastore Metadata User](/iam/docs/roles-permissions/metastore#metastore.metadataUser) (`roles/metastore.metadataUser`)\n- [Cloud Dataplex Service Agent](/iam/docs/roles-permissions/dataplex#dataplex.serviceAgent) (`roles/dataplex.serviceAgent`)\n- [Dataplex Metadata Reader](/iam/docs/roles-permissions/dataplex#dataplex.metadataReader) (`roles/dataplex.metadataReader`)\n\n\nFor more information about granting roles, see [Manage access to projects, folders, and organizations](/iam/docs/granting-changing-revoking-access).\n\n\nYou might also be able to get\nthe required permissions through [custom\nroles](/iam/docs/creating-custom-roles) or other [predefined\nroles](/iam/docs/roles-overview#predefined).\n\nAdd the plugin to your pipeline\n-------------------------------\n\n1. In the Google Cloud console, go to the Cloud Data Fusion **Instances** page.\n\n [Go to Instances](https://console.cloud.google.com/data-fusion/locations/-/instances)\n\n This page lets you manage your instances.\n2. To open your instance, click **View instance**.\n\n3. Go to the **Studio** page, expand the **Sink** menu, and click **Dataplex**.\n\nConfigure the plugin\n--------------------\n\nAfter you add this plugin to your pipeline on the **Studio** page, click the\nDataplex Universal Catalog sink to configure and save its properties.\n\nFor more information about configurations, see the\n[Dataplex Sink](https://cdap.atlassian.net/wiki/spaces/DOCS/pages/1766948865/Google+Dataplex+Sink) reference.\n\nOptional: Get started with a sample pipeline\n--------------------------------------------\n\nSample pipelines are available, including an SAP source to\nDataplex Universal Catalog sink pipeline and a Dataplex Universal Catalog source to\nBigQuery sink pipeline.\n\nTo use a sample pipeline, open your instance in the Cloud Data Fusion UI,\nclick **Hub \\\u003e Pipelines**, and select one of the\nDataplex Universal Catalog pipelines. A dialog opens to help you create the\npipeline.\n\nRun your pipeline\n-----------------\n\n1. After deploying the pipeline, open your pipeline on the Cloud Data Fusion\n **Studio** page.\n\n2. Click **Configure \\\u003e Resources**.\n\n3. Optional: Change the **Executor CPU** and **Memory** based on the overall\n data size and the number of transformations used in your pipeline.\n\n4. Click **Save**.\n\n5. To start the data pipeline, click **Run**.\n\nWhat's next\n-----------\n\n- [Process data with Cloud Data Fusion](/dataplex/docs/process-with-data-fusion) using the Dataplex Universal Catalog Source plugin."]]
