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To make it easier to scale to large data collections, we should support queries in /datasets such as
/datasets?year=[2016,2018]
which would return all datasets from 2016 and 2018.
Another consideration could be range-based queries, but that would require the introduction of per-key datatypes, which is something I'd like to avoid for now.
The text was updated successfully, but these errors were encountered:
* Introduce multiqueries for dataset lookup (issue #33)
* Allow keys as either strings or list of strinngs in get_datasets
* Make mypy and flake8 happy
* Move data parsing into DatasetOptionSchema in server/datasets
* Adhere mypy and flake8
* Remove leftover print statement from testing period
* Use loops instead of list comprehensions
* Adhere flake8
* Create tests for dataset multiquerying
Co-authored-by: NNicklas Boserup <[email protected]>
To make it easier to scale to large data collections, we should support queries in
/datasets
such as/datasets?year=[2016,2018]
which would return all datasets from
2016
and2018
.Another consideration could be range-based queries, but that would require the introduction of per-key datatypes, which is something I'd like to avoid for now.
The text was updated successfully, but these errors were encountered: