咨询Google Cloud Dataprep是否支持Recipes导入功能
From what I've worked with and seen in the Dataprep ecosystem, there is no native, out-of-the-box feature to directly import Recipes into Google Cloud Dataprep right now—this is a commonly requested feature that many users have flagged.
That said, there are a few workarounds to achieve similar results if you need to reuse Recipes across environments or restore a downloaded Recipe:
- Copy steps manually or use workspace sharing: If you're moving a Recipe between projects or workspaces within Dataprep, you can share the source workspace with the target account, then duplicate the Recipe directly in the new environment. For smaller Recipes, manually recreating the steps (since Dataprep's interface is visual and step-by-step) is also a straightforward option.
- Leverage the Dataprep API: When you download a Recipe, you're getting its JSON definition. You can use Dataprep's REST API to write a simple script that takes this JSON and creates a new Recipe in your target environment. This requires some basic API familiarity, but the
recipesendpoint supports creating new Recipes with predefined configurations. - Version control for reference: Store your downloaded Recipe JSON files in a version control system (like Git). When you need to reuse it, you can reference the JSON's step definitions to rebuild the Recipe quickly, or combine this with the API for semi-automated setup.
It's worth noting that Google Cloud actively collects user feedback on Dataprep features. If this import capability is critical for your workflow, submitting a feature request through the Google Cloud Console's feedback channel can help prioritize this functionality for future updates.
内容的提问来源于stack exchange,提问作者Aaron Harris

