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The name uniqueness constraint appears to create a challenge when the same dataset exists in multiple formats:
resources:
- name: population_data # Cannot reuse this name
path: data.csv
- name: population_data # Even though these are the same dataset
path: data.arrow # just in different formats
Currently this requires artificial name variations:
What approaches exist within the current specification to indicate these resources are equivalent versions of the same logical dataset? Have there been any discussions about extending the specification to handle this situation, similar to how split files are handled? The goal is to maintain the connection between format variants without relying on naming conventions.
Thank you for any insights into current approaches or past discussions about this topic.
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The Frictionless specification requires unique resource names while supporting multiple paths for a single resource:
The name uniqueness constraint appears to create a challenge when the same dataset exists in multiple formats:
Currently this requires artificial name variations:
What approaches exist within the current specification to indicate these resources are equivalent versions of the same logical dataset? Have there been any discussions about extending the specification to handle this situation, similar to how split files are handled? The goal is to maintain the connection between format variants without relying on naming conventions.
Thank you for any insights into current approaches or past discussions about this topic.
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