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There's basic map/reduce support, but it implements aggregation using a table scan. That doesn't scale.
It would be nice to optimize it. The 'overlay indexes' described by Pennino, Pizzonia and Papi (2019) seem like a nice fit. See for example code: https://github.com/kdbtree/kdbtree/ .
A 'simple' skiplist might be easier, but it's not as elegant, as it requires more roundtrips to the backend database.
Diego Pennino, Maurizio Pizzonia, Alessio Papi. Overlay Indexes: Efficiently Supporting Aggregate Range Queries and Authenticated Data Structures in Off-the-Shelf Databases. IEEE Access. 7:175642-175670. 2019.
There's basic map/reduce support, but it implements aggregation using a table scan. That doesn't scale.
It would be nice to optimize it. The 'overlay indexes' described by Pennino, Pizzonia and Papi (2019) seem like a nice fit. See for example code: https://github.com/kdbtree/kdbtree/ .
A 'simple' skiplist might be easier, but it's not as elegant, as it requires more roundtrips to the backend database.
Follow-up issue of #8.
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