Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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@DavidPendleton-7654 - Thanks for the question and using MS Q&A platform.
In Azure Data Factory, you can export a template or download supported files in a pipeline activity. Both options allow you to create a reusable template or file that you can use to create new pipelines or activities.
Exporting a template allows you to create a JSON file that contains the definition of your pipeline or activity. This file can be used to create new pipelines or activities in the same or different Data Factory instances.
Downloading supported files in a pipeline activity allows you to download files that are generated by the activity. For example, if you have a pipeline activity that generates a CSV file, you can download the file to a storage account or a local machine. This option is useful when you need to use the output of the activity in another process or application.
As per the repro, we tried exporting the pipeline in both ways (download file, and export template) in our local environment.
Download support files option will give you end-to-end information about that pipeline by separating each file used in that pipeline with complete data. of the dataset, linked service, pipeline, etc.
Export template won't give end-to-end information, it will give us only the schema of that pipeline.
After comparing the export template (gives error when you open via VS Code) and Supported file (works as excepted when you open via VS Code). I would suggest you to use the download support files option.
Export Template (gives error when you open via VS Code):
Download Supported file (works as excepted when you open via VS Code)
Hope this helps. Do let us know if you any further queries.
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