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This is rather wasteful. Changing this without coordination will cause issues, though: Uniqueness inside a dataseries depends on a consistent implementation of this logic. We could however add a configuration setting to the DataSeries that allows for different uuid stategies to be used - e.g. less wasteful hash functions or just the identity function.
While this is not an urgent issue, this is something that could be useful.
The text was updated successfully, but these errors were encountered:
Currently we only support the rather wasteful pattern of generating canonical ids for DataPoints using this logic:
https://github.com/neuroforgede/nfcompose/blob/main/skipper/skipper/dataseries/storage/uuid.py
This is rather wasteful. Changing this without coordination will cause issues, though: Uniqueness inside a dataseries depends on a consistent implementation of this logic. We could however add a configuration setting to the DataSeries that allows for different uuid stategies to be used - e.g. less wasteful hash functions or just the identity function.
While this is not an urgent issue, this is something that could be useful.
The text was updated successfully, but these errors were encountered: