[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-09-04 UTC。"],[[["\u003cp\u003eThis guide details the process of exporting and importing pipeline configurations in JSON format within Cloud Data Fusion.\u003c/p\u003e\n"],["\u003cp\u003eExporting pipelines as JSON is useful for transferring pipelines between different environments, versions, or instances, and for troubleshooting purposes.\u003c/p\u003e\n"],["\u003cp\u003eTo export a pipeline, you navigate to the instance, select the pipeline, and then use the "Export" feature to save the configuration as a JSON file.\u003c/p\u003e\n"],["\u003cp\u003eImporting a pipeline involves uploading the saved JSON file into a different Cloud Data Fusion environment or instance through the "Import" function.\u003c/p\u003e\n"],["\u003cp\u003eThe exported JSON files contain information on sources, sinks, and the connections between them but do not include triggers.\u003c/p\u003e\n"]]],[],null,["# Export and import pipelines\n\nThis page describes how to export and import pipeline configurations in JSON\nformat. These JSON files are useful in the following scenarios:\n\n- Moving pipelines from a design environment to an execution environment.\n- Moving pipelines to a new Cloud Data Fusion version or instance.\n- Troubleshooting.\n\nExport a pipeline\n-----------------\n\nTo export your pipeline in JSON Format:\n\n1. Go to your instance:\n 1. In the Google Cloud console, go to the Cloud Data Fusion page.\n\n 2. To open the instance in the Cloud Data Fusion Studio,\n click **Instances** , and then click **View instance**.\n\n [Go to Instances](https://console.cloud.google.com/data-fusion/locations/-/instances)\n2. Click **List**.\n3. For the desired pipelines, click settings.\n4. Click **Export**.\n5. Save the JSON files.\n\nImport a pipeline\n-----------------\n\nIn the environment or instance where you want to import your pipeline:\n\n1. Open the Cloud Data Fusion **Studio** page.\n2. Click **Import**.\n3. Upload the JSON file that you saved when you exported your pipeline.\n4. Optional: You might be prompted to upgrade the version of your plugins. Click **Fix all**. If a particular plugin is not found, follow the prompts to install it from the Hub.\n5. Optional: If you use a custom plugin in your pipeline and you receive a prompt in the upgrade window that the plugin was not found, you must deploy that custom plugin first, and then import the pipeline again.\n\nYour pipeline opens in the **Studio** page. To deploy your pipeline as-is,\nclick **Deploy**.\n\nDetails\n-------\n\nA pipeline is exported in JSON format. The file includes information about\nsources, sinks, and the connections between them.\n\nIt doesn't include triggers that you created after the pipeline was deployed.\nTo get details about those triggers, recreate them in a different environment.\n\nWhat's next\n-----------\n\n- Learn how to [upgrade Cloud Data Fusion instances and pipelines](/data-fusion/docs/how-to/upgrading).\n- Learn more about [Cloud Data Fusion](/data-fusion/docs/concepts/overview)."]]
